20.4.3.3.7 Visual Grounding, Grounding Expressions

Chapter Contents (Back)
Question Answer. Grounding. Visual Grounding. Visual Dialog. Mostly a subset of the related:
See also Visual Question Answering, Query, VQA. And:
See also Vision-Language Models, Language-Vision Models, VQA.

Visual7W visual question answering,
Large-scale visual question answering (QA) dataset, with object-level groundings and multimodal answers. WWW Link.
Dataset, Visual Question Answering.

Liang, J.W.[Jun-Wei], Jiang, L.[Lu], Cao, L.L.[Liang-Liang], Kalantidis, Y.[Yannis], Li, L.J.[Li-Jia], Hauptmann, A.G.[Alexander G.],
Focal Visual-Text Attention for Memex Question Answering,
PAMI(41), No. 8, August 2019, pp. 1893-1908.
IEEE DOI 1907
BibRef
Earlier: A1, A2, A3, A5, A6, Only:
Focal Visual-Text Attention for Visual Question Answering,
CVPR18(6135-6143)
IEEE DOI 1812
Task analysis, Knowledge discovery, Visualization, Grounding, Metadata, Cognition, Photo albums, question answering, memex. Visualization, Videos, Computational modeling, Correlation. BibRef

Riquelme, F.[Felipe], de Goyeneche, A.[Alfredo], Zhang, Y.D.[Yun-Dong], Niebles, J.C.[Juan Carlos], Soto, A.[Alvaro],
Explaining VQA predictions using visual grounding and a knowledge base,
IVC(101), 2020, pp. 103968.
Elsevier DOI 2009
Deep Learning, Attention, Supervision, Knowledge Base, Interpretability, Explainability BibRef

Yang, Z.Y.[Zheng-Yuan], Kumar, T.[Tushar], Chen, T.L.[Tian-Lang], Su, J.S.[Jing-Song], Luo, J.B.[Jie-Bo],
Grounding-Tracking-Integration,
CirSysVideo(31), No. 9, September 2021, pp. 3433-3443.
IEEE DOI 2109
Grounding, Target tracking, Visualization, History, Task analysis, Object tracking, Annotations, Tracking by language BibRef

Zhang, W.X.[Wei-Xia], Ma, C.[Chao], Wu, Q.[Qi], Yang, X.K.[Xiao-Kang],
Language-Guided Navigation via Cross-Modal Grounding and Alternate Adversarial Learning,
CirSysVideo(31), No. 9, September 2021, pp. 3469-3481.
IEEE DOI 2109
Navigation, Training, Trajectory, Visualization, Task analysis, Grounding, Generators, Vision-and-language, embodied navigation, adversarial learning BibRef

Zhai, S.L.[Song-Lin], Guo, G.B.[Gui-Bing], Yuan, F.J.[Fa-Jie], Liu, Y.[Yuan], Wang, X.W.[Xing-Wei],
VSE-fs: Fast Full-Sample Visual Semantic Embedding,
IEEE_Int_Sys(36), No. 4, July 2021, pp. 3-12.
IEEE DOI 2109
Construct a joint embedding space between visual features and semantic information. Computational modeling, Training, Integrated circuits, Time complexity, Semantics, Visualization, Intelligent systems, Negative Sampling BibRef

Bargal, S.A.[Sarah Adel], Zunino, A.[Andrea], Petsiuk, V.[Vitali], Zhang, J.M.[Jian-Ming], Saenko, K.[Kate], Murino, V.[Vittorio], Sclaroff, S.[Stan],
Guided Zoom: Zooming into Network Evidence to Refine Fine-Grained Model Decisions,
PAMI(43), No. 11, November 2021, pp. 4196-4202.
IEEE DOI 2110
Grounding, Training, Predictive models, Annotations, Location awareness, Correlation, Visualization, Explainable AI, convolutional neural networks BibRef

Yang, W.F.[Wen-Fei], Zhang, T.Z.[Tian-Zhu], Zhang, Y.D.[Yong-Dong], Wu, F.[Feng],
Local Correspondence Network for Weakly Supervised Temporal Sentence Grounding,
IP(30), 2021, pp. 3252-3262.
IEEE DOI 2103
Grounding, Annotations, Training, Feature extraction, Computational modeling, Task analysis, temporal sentence grounding BibRef

Luo, W.[Wang], Zhang, T.Z.[Tian-Zhu], Yang, W.F.[Wen-Fei], Liu, J.G.[Jin-Gen], Mei, T.[Tao], Wu, F.[Feng], Zhang, Y.D.[Yong-Dong],
Action Unit Memory Network for Weakly Supervised Temporal Action Localization,
CVPR21(9964-9974)
IEEE DOI 2111
Location awareness, Training, Knowledge engineering, Motion segmentation, Refining, Interference, Benchmark testing BibRef

Hong, R.C.[Ri-Chang], Liu, D.[Daqing], Mo, X.Y.[Xiao-Yu], He, X.N.[Xiang-Nan], Zhang, H.W.[Han-Wang],
Learning to Compose and Reason with Language Tree Structures for Visual Grounding,
PAMI(44), No. 2, February 2022, pp. 684-696.
IEEE DOI 2201
Grounding, Visualization, Dogs, Natural languages, Cognition, Computational modeling, Semantics, Fine-grained detection, visual reasoning BibRef

Tang, K.H.[Kai-Hua], Zhang, H.W.[Han-Wang], Wu, B.Y.[Bao-Yuan], Luo, W.H.[Wen-Han], Liu, W.[Wei],
Learning to Compose Dynamic Tree Structures for Visual Contexts,
CVPR19(6612-6621).
IEEE DOI 2002
BibRef

Bin, Y.[Yi], Ding, Y.J.[Yu-Juan], Peng, B.[Bo], Peng, L.[Liang], Yang, Y.[Yang], Chua, T.S.[Tat-Seng],
Entity Slot Filling for Visual Captioning,
CirSysVideo(32), No. 1, January 2022, pp. 52-62.
IEEE DOI 2201
Task analysis, Visualization, Neural networks, Adaptation models, Filling, Grounding, Training, Image captioning, dataset BibRef

Chu, C.[Chenhui], Oliveira, V.[Vinicius], Virgo, F.G.[Felix Giovanni], Otani, M.[Mayu], Garcia, N.[Noa], Nakashima, Y.[Yuta],
The semantic typology of visually grounded paraphrases,
CVIU(215), 2022, pp. 103333.
Elsevier DOI 2201
Vision and language, Image interpretation, Visual grounded paraphrases, Semantic typology, Dataset BibRef

Deng, C.R.[Chao-Rui], Wu, Q.[Qi], Wu, Q.Y.[Qing-Yao], Hu, F.Y.[Fu-Yuan], Lyu, F.[Fan], Tan, M.K.[Ming-Kui],
Visual Grounding Via Accumulated Attention,
PAMI(44), No. 3, March 2022, pp. 1670-1684.
IEEE DOI 2202
BibRef
Earlier: CVPR18(7746-7755)
IEEE DOI 1812
Task analysis, Grounding, Cognition, Visual grounding, bounding box regression. Visualization, Feature extraction, Grounding, Natural languages, Redundancy, Task analysis, Computational modeling BibRef

Plummer, B.A.[Bryan A.], Shih, K.J.[Kevin J.], Li, Y.C.[Yi-Chen], Xu, K.[Ke], Lazebnik, S.[Svetlana], Sclaroff, S.[Stan], Saenko, K.[Kate],
Revisiting Image-Language Networks for Open-Ended Phrase Detection,
PAMI(44), No. 4, April 2022, pp. 2155-2167.
IEEE DOI 2203
Task analysis, Grounding, Visualization, Feature extraction, Benchmark testing, Detectors, Vocabulary, Vision and language, representation learning BibRef

Burns, A.[Andrea], Tan, R.[Reuben], Saenko, K.[Kate], Sclaroff, S.[Stan], Plummer, B.A.[Bryan A.],
Language Features Matter: Effective Language Representations for Vision-Language Tasks,
ICCV19(7473-7482)
IEEE DOI 2004
Code, Visualization.
WWW Link. data visualisation, graph theory, image representation, learning (artificial intelligence), Grounding BibRef

Arbelle, A.[Assaf], Doveh, S.[Sivan], Alfassy, A.[Amit], Shtok, J.[Joseph], Lev, G.[Guy], Schwartz, E.[Eli], Kuehne, H.[Hilde], Levi, H.B.[Hila Barak], Sattigeri, P.[Prasanna], Panda, R.[Rameswar], Chen, C.F.[Chun-Fu], Bronstein, A.M.[Alex M.], Saenko, K.[Kate], Ullman, S.[Shimon], Giryes, R.[Raja], Feris, R.S.[Rogerio S.], Karlinsky, L.[Leonid],
Detector-Free Weakly Supervised Grounding by Separation,
ICCV21(1781-1792)
IEEE DOI 2203
Training, Location awareness, Visualization, Image segmentation, Grounding, Genomics, Detectors, Vision + language, BibRef

Whitehead, S.[Spencer], Wu, H.[Hui], Ji, H.[Heng], Feris, R.S.[Rogerio S.], Saenko, K.[Kate],
Separating Skills and Concepts for Novel Visual Question Answering,
CVPR21(5628-5637)
IEEE DOI 2111
Training, Visualization, Grounding, Annotations, Knowledge discovery, Encoding BibRef

Yu, X.T.[Xin-Tong], Zhang, H.M.[Hong-Ming], Hong, R.X.[Rui-Xin], Song, Y.Q.[Yang-Qiu], Zhang, C.S.[Chang-Shui],
VD-PCR: Improving visual dialog with pronoun coreference resolution,
PR(125), 2022, pp. 108540.
Elsevier DOI 2203
Vision and language, Visual dialog, Pronoun coreference resolution BibRef

Yuan, Y.T.[Yi-Tian], Ma, L.[Lin], Wang, J.W.[Jing-Wen], Liu, W.[Wei], Zhu, W.W.[Wen-Wu],
Semantic Conditioned Dynamic Modulation for Temporal Sentence Grounding in Videos,
PAMI(44), No. 5, May 2022, pp. 2725-2741.
IEEE DOI 2204
Videos, Grounding, Semantics, Proposals, Task analysis, Convolution, Visualization, Temporal sentence grounding in videos (TSG), temporal convolution BibRef

He, S.[Su], Yang, X.F.[Xiao-Feng], Lin, G.S.[Guo-Sheng],
Learning language to symbol and language to vision mapping for visual grounding,
IVC(122), 2022, pp. 104451.
Elsevier DOI 2205
Cross modality, Visual grounding, Neural symbolic reasoning BibRef

Jiang, W.H.[Wen-Hui], Zhu, M.[Minwei], Fang, Y.M.[Yu-Ming], Shi, G.M.[Guang-Ming], Zhao, X.W.[Xiao-Wei], Liu, Y.[Yang],
Visual Cluster Grounding for Image Captioning,
IP(31), 2022, pp. 3920-3934.
IEEE DOI 2206
Grounding, Visualization, Proposals, Annotations, Transformers, Task analysis, Decoding, Image captioning, attention evaluation, grounding supervision BibRef

Liao, Y.[Yue], Zhang, A.[Aixi], Chen, Z.Y.[Zhi-Yuan], Hui, T.R.[Tian-Rui], Liu, S.[Si],
Progressive Language-Customized Visual Feature Learning for One-Stage Visual Grounding,
IP(31), 2022, pp. 4266-4277.
IEEE DOI 2207
Visualization, Feature extraction, Grounding, Linguistics, Task analysis, Detectors, Representation learning, cross-modal fusion BibRef

Ding, X.P.[Xin-Peng], Wang, N.N.[Nan-Nan], Zhang, S.W.[Shi-Wei], Huang, Z.Y.[Zi-Yuan], Li, X.M.[Xiao-Meng], Tang, M.Q.[Ming-Qian], Liu, T.L.[Tong-Liang], Gao, X.B.[Xin-Bo],
Exploring Language Hierarchy for Video Grounding,
IP(31), 2022, pp. 4693-4706.
IEEE DOI 2207
Proposals, Grounding, Training, Location awareness, Task analysis, Semantics, Feature extraction, Video and language, language hierarchy BibRef

Wang, Y.[Yuechen], Deng, J.J.[Jia-Jun], Zhou, W.G.[Wen-Gang], Li, H.Q.[Hou-Qiang],
Weakly Supervised Temporal Adjacent Network for Language Grounding,
MultMed(24), 2022, pp. 3276-3286.
IEEE DOI 2207
Grounding, Semantics, Feature extraction, Visualization, Task analysis, Annotations, Training, Temporal language grounding, multiple instance learning BibRef

Xu, Z.[Zhe], Chen, D.[Da], Wei, K.[Kun], Deng, C.[Cheng], Xue, H.[Hui],
HiSA: Hierarchically Semantic Associating for Video Temporal Grounding,
IP(31), 2022, pp. 5178-5188.
IEEE DOI 2208
Grounding, Feature extraction, Proposals, Task analysis, Semantics, Representation learning, Image segmentation, cross-guided contrast BibRef

Gao, J.L.[Jia-Lin], Sun, X.[Xin], Ghanem, B.[Bernard], Zhou, X.[Xi], Ge, S.M.[Shi-Ming],
Efficient Video Grounding With Which-Where Reading Comprehension,
CirSysVideo(32), No. 10, October 2022, pp. 6900-6913.
IEEE DOI 2210
Grounding, Proposals, Visualization, Location awareness, Task analysis, Reinforcement learning, Germanium, deep learning BibRef

Zhou, H.[Hao], Zhang, C.Y.[Chong-Yang], Luo, Y.[Yan], Hu, C.P.[Chuan-Ping], Zhang, W.J.[Wen-Jun],
Thinking Inside Uncertainty: Interest Moment Perception for Diverse Temporal Grounding,
CirSysVideo(32), No. 10, October 2022, pp. 7190-7203.
IEEE DOI 2210
Annotations, Grounding, Task analysis, Uncertainty, Measurement, Predictive models, Optimization, Temporal grounding, label uncertainty BibRef

Tang, Z.H.[Zong-Heng], Liao, Y.[Yue], Liu, S.[Si], Li, G.B.[Guan-Bin], Jin, X.J.[Xiao-Jie], Jiang, H.X.[Hong-Xu], Yu, Q.[Qian], Xu, D.[Dong],
Human-Centric Spatio-Temporal Video Grounding With Visual Transformers,
CirSysVideo(32), No. 12, December 2022, pp. 8238-8249.
IEEE DOI 2212
Grounding, Visualization, Electron tubes, Location awareness, Power transformers, Spatial temporal resolution, dataset BibRef

Tang, H.Y.[Hao-Yu], Zhu, J.[Jihua], Wang, L.[Lin], Zheng, Q.H.[Qing-Hai], Zhang, T.W.[Tian-Wei],
Multi-Level Query Interaction for Temporal Language Grounding,
ITS(23), No. 12, December 2022, pp. 25479-25488.
IEEE DOI 2212
Semantics, Task analysis, Grounding, Proposals, Syntactics, Location awareness, Feature extraction, Human-machine interface, multi-level interaction BibRef

Wang, W.[Wei], Gao, J.Y.[Jun-Yu], Xu, C.S.[Chang-Sheng],
Weakly-Supervised Video Object Grounding via Causal Intervention,
PAMI(45), No. 3, March 2023, pp. 3933-3948.
IEEE DOI 2302
Grounding, Visualization, Task analysis, Dairy products, Annotations, Context modeling, Proposals, Weakly-supervised learning, adversarial contrastive learning BibRef

Wang, W.[Wei], Gao, J.Y.[Jun-Yu], Xu, C.S.[Chang-Sheng],
Weakly-Supervised Video Object Grounding via Learning Uni-Modal Associations,
MultMed(25), 2023, pp. 6329-6340.
IEEE DOI 2311
BibRef

Nayyeri, M.[Mojtaba], Xu, C.J.[Cheng-Jin], Alam, M.M.[Mirza Mohtashim], Lehmann, J.[Jens], Yazdi, H.S.[Hamed Shariat],
LogicENN: A Neural Based Knowledge Graphs Embedding Model With Logical Rules,
PAMI(45), No. 6, June 2023, pp. 7050-7062.
IEEE DOI 2305
Encoding, Grounding, Computational modeling, Analytical models, Task analysis, Optimization, Predictive models, Knowledge graph, representation learning BibRef

Zhao, L.C.[Li-Chen], Cai, D.G.[Dai-Gang], Zhang, J.[Jing], Sheng, L.[Lu], Xu, D.[Dong], Zheng, R.[Rui], Zhao, Y.J.[Yin-Jie], Wang, L.P.[Li-Peng], Fan, X.[Xibo],
Toward Explainable 3D Grounded Visual Question Answering: A New Benchmark and Strong Baseline,
CirSysVideo(33), No. 6, June 2023, pp. 2935-2949.
IEEE DOI 2306
Task analysis, Visualization, Annotations, Point cloud compression, Solid modeling, Question answering (information retrieval), vision and language on 3D scenes BibRef

Zhu, L.J.[Liang-Jun], Peng, L.[Li], Zhou, W.N.[Wei-Nan], Yang, J.[Jielong],
Dual-decoder transformer network for answer grounding in visual question answering,
PRL(171), 2023, pp. 53-60.
Elsevier DOI 2306
Visual question answering, Answer grounding, Dual-decoder transformer BibRef

Chen, T.[Tongbao], Wang, W.[Wenmin], Han, K.[Kangrui], Xu, H.J.[Hui-Juan],
SaGCN: Semantic-Aware Graph Calibration Network for Temporal Sentence Grounding,
CirSysVideo(33), No. 6, June 2023, pp. 3003-3016.
IEEE DOI 2306
Semantics, Grounding, Task analysis, Database languages, Calibration, TV, Visualization, Temporal sentence grounding, cross modal BibRef

Zhang, H.[Hao], Sun, A.[Aixin], Jing, W.[Wei], Zhou, J.T.Y.[Joey Tian-Yi],
Temporal Sentence Grounding in Videos: A Survey and Future Directions,
PAMI(45), No. 8, August 2023, pp. 10443-10465.
IEEE DOI 2307
Videos, Feature extraction, Proposals, Grounding, Task analysis, Taxonomy, Location awareness, Cross-modal video retrieval, vision and language BibRef

Deng, J.J.[Jia-Jun], Yang, Z.Y.[Zheng-Yuan], Liu, D.[Daqing], Chen, T.L.[Tian-Lang], Zhou, W.G.[Wen-Gang], Zhang, Y.[Yanyong], Li, H.Q.[Hou-Qiang], Ouyang, W.L.[Wan-Li],
TransVG++: End-to-End Visual Grounding With Language Conditioned Vision Transformer,
PAMI(45), No. 11, November 2023, pp. 13636-13652.
IEEE DOI 2310
BibRef
Earlier: A1, A2, A4, A5, A7, Only:
TransVG: End-to-End Visual Grounding with Transformers,
ICCV21(1749-1759)
IEEE DOI 2203
Visualization, Codes, Grounding, Manuals, Transformers, Cognition, Vision + language, Vision + other modalities BibRef

Li, J.C.[Jun-Cheng], Tang, S.L.[Si-Liang], Zhu, L.C.[Lin-Chao], Zhang, W.Q.[Wen-Qiao], Yang, Y.[Yi], Chua, T.S.[Tat-Seng], Wu, F.[Fei], Zhuang, Y.T.[Yue-Ting],
Variational Cross-Graph Reasoning and Adaptive Structured Semantics Learning for Compositional Temporal Grounding,
PAMI(45), No. 10, October 2023, pp. 12601-12617.
IEEE DOI 2310
BibRef

Li, J.C.[Jun-Cheng], Xie, J.L.[Jun-Lin], Qian, L.[Long], Zhu, L.C.[Lin-Chao], Tang, S.L.[Si-Liang], Wu, F.[Fei], Yang, Y.[Yi], Zhuang, Y.T.[Yue-Ting], Wang, X.E.[Xin Eric],
Compositional Temporal Grounding with Structured Variational Cross-Graph Correspondence Learning,
CVPR22(3022-3031)
IEEE DOI 2210
Grounding, Current measurement, Computational modeling, Semantics, Diversity reception, Linguistics, Vision + language BibRef

González, C.[Cristina], Ayobi, N.[Nicolás], Hernández, I.[Isabela], Pont-Tuset, J.[Jordi], Arbeláez, P.[Pablo],
PiGLET: Pixel-Level Grounding of Language Expressions With Transformers,
PAMI(45), No. 10, October 2023, pp. 12206-12221.
IEEE DOI 2310
BibRef

Zhang, R.S.[Rui-Song], Wang, C.[Chuang], Liu, C.L.[Cheng-Lin],
Cycle-Consistent Weakly Supervised Visual Grounding With Individual and Contextual Representations,
IP(32), 2023, pp. 5167-5180.
IEEE DOI Code:
WWW Link. 2310
BibRef

Wang, Y.[Yan], Su, Y.T.[Yu-Ting], Li, W.H.[Wen-Hui], Xiao, J.[Jun], Li, X.Y.[Xuan-Ya], Liu, A.A.[An-An],
Dual-Path Rare Content Enhancement Network for Image and Text Matching,
CirSysVideo(33), No. 10, October 2023, pp. 6144-6158.
IEEE DOI 2310
BibRef

Xu, Z.[Zhe], Wei, K.[Kun], Yang, X.[Xu], Deng, C.[Cheng],
Point-Supervised Video Temporal Grounding,
MultMed(25), 2023, pp. 6121-6131.
IEEE DOI 2311
BibRef

Luo, F.[Fan], Chen, S.X.[Shao-Xiang], Chen, J.J.[Jing-Jing], Wu, Z.[Zuxuan], Jiang, Y.G.[Yu-Gang],
Self-Supervised Learning for Semi-Supervised Temporal Language Grounding,
MultMed(25), 2023, pp. 7747-7757.
IEEE DOI 2312
BibRef

Liu, D.Z.[Dai-Zong], Fang, X.[Xiang], Hu, W.[Wei], Zhou, P.[Pan],
Exploring Optical-Flow-Guided Motion and Detection-Based Appearance for Temporal Sentence Grounding,
MultMed(25), 2023, pp. 8539-8553.
IEEE DOI 2312
BibRef

Yang, X.F.[Xiao-Feng], Liu, F.[Fayao], Lin, G.S.[Guo-Sheng],
Effective End-to-End Vision Language Pretraining With Semantic Visual Loss,
MultMed(25), 2023, pp. 8408-8417.
IEEE DOI 2312
BibRef

Ma, G.Q.[Guo-Qing], Bai, Y.[Yalong], Zhang, W.[Wei], Yao, T.[Ting], Shihada, B.[Basem], Mei, T.[Tao],
Boosting Generic Visual-Linguistic Representation With Dynamic Contexts,
MultMed(25), 2023, pp. 8445-8457.
IEEE DOI 2312
BibRef

Su, C.[Chao], Li, Z.[Zhi], Lei, T.Y.[Tian-Yi], Peng, D.Z.[De-Zhong], Wang, X.[Xu],
MetaVG: A Meta-Learning Framework for Visual Grounding,
SPLetters(31), 2024, pp. 236-240.
IEEE DOI 2401
BibRef

Zeng, Y.W.[Ya-Wen], Han, N.[Ning], Pan, K.Y.[Ke-Yu], Jin, Q.[Qin],
Temporally Language Grounding With Multi-Modal Multi-Prompt Tuning,
MultMed(26), 2024, pp. 3366-3377.
IEEE DOI 2402
Task analysis, Grounding, Transformers, Tuning, Visualization, Semantics, Robustness, Temporally language grounding, multi-modal understanding BibRef

Fang, X.[Xiang], Liu, D.[Daizong], Zhou, P.[Pan], Xu, Z.[Zichuan], Li, R.X.[Rui-Xuan],
Hierarchical Local-Global Transformer for Temporal Sentence Grounding,
MultMed(26), 2024, pp. 3263-3277.
IEEE DOI 2402
Transformers, Semantics, Visualization, Grounding, Task analysis, Feature extraction, Decoding, Multi-modal representations, temporal transformer BibRef

Wang, Z.[Zhiyu], Yang, C.[Chao], Jiang, B.[Bin], Yuan, J.S.[Jun-Song],
A Dual Reinforcement Learning Framework for Weakly Supervised Phrase Grounding,
MultMed(26), 2024, pp. 394-405.
IEEE DOI 2402
Grounding, Task analysis, Training, Reinforcement learning, Optimization, Image reconstruction, Proposals, reinforcement learning BibRef

Lu, Y.[Yu], Quan, R.J.[Rui-Jie], Zhu, L.C.[Lin-Chao], Yang, Y.[Yi],
Zero-Shot Video Grounding With Pseudo Query Lookup and Verification,
IP(33), 2024, pp. 1643-1654.
IEEE DOI 2403
Grounding, Detectors, Proposals, Training, Task analysis, Visualization, Semantics, Video grounding, zero-shot learning, vision and language BibRef

Wang, W.K.[Wei-Kang], Su, Y.T.[Yu-Ting], Liu, J.[Jing], Jing, P.G.[Pei-Guang],
Adaptive proposal network based on generative adversarial learning for weakly supervised temporal sentence grounding,
PRL(179), 2024, pp. 9-16.
Elsevier DOI 2403
Weakly supervised learning, Temporal sentence grounding, Contrastive generative adversarial learning BibRef

Liu, D.[Daizong], Zhu, J.H.[Jia-Hao], Fang, X.[Xiang], Xiong, Z.[Zeyu], Wang, H.[Huan], Li, R.[Renfu], Zhou, P.[Pan],
Conditional Video Diffusion Network for Fine-Grained Temporal Sentence Grounding,
MultMed(26), 2024, pp. 5461-5476.
IEEE DOI 2404
Semantics, Grounding, Task analysis, Cognition, Visualization, Training, Stochastic processes, diffusion models BibRef


Gong, R.[Ran], Huang, J.[Jiangyong], Zhao, Y.Z.[Yi-Zhou], Geng, H.R.[Hao-Ran], Gao, X.F.[Xiao-Feng], Wu, Q.Y.[Qing-Yang], Ai, W.[Wensi], Zhou, Z.H.[Zi-Heng], Terzopoulos, D.[Demetri], Zhu, S.C.[Song-Chun], Jia, B.X.[Bao-Xiong], Huang, S.Y.[Si-Yuan],
ARNOLD: A Benchmark for Language-Grounded Task Learning With Continuous States in Realistic 3D Scenes,
ICCV23(20426-20438)
IEEE DOI Code:
WWW Link. 2401
BibRef

Wu, Y.[Yu], Wei, Y.[Yana], Wang, H.Z.[Hao-Zhe], Liu, Y.F.[Yong-Fei], Yang, S.[Sibei], He, X.M.[Xu-Ming],
Grounded Image Text Matching with Mismatched Relation Reasoning,
ICCV23(2964-2975)
IEEE DOI Code:
WWW Link. 2401
BibRef

Song, C.H.[Chan Hee], Sadler, B.M.[Brian M.], Wu, J.[Jiaman], Chao, W.L.[Wei-Lun], Washington, C.[Clayton], Su, Y.[Yu],
LLM-Planner: Few-Shot Grounded Planning for Embodied Agents with Large Language Models,
ICCV23(2986-2997)
IEEE DOI 2401
BibRef

Lee, C.[Clarence], Kumar, M.G.[M Ganesh], Tan, C.[Cheston],
DetermiNet: A Large-Scale Diagnostic Dataset for Complex Visually-Grounded Referencing using Determiners,
ICCV23(19962-19971)
IEEE DOI 2401
BibRef

Lin, K.Q.[Kevin Qinghong], Zhang, P.[Pengchuan], Chen, J.[Joya], Pramanick, S.[Shraman], Gao, D.F.[Di-Fei], Wang, A.J.P.[Alex Jin-Peng], Yan, R.[Rui], Shou, M.Z.[Mike Zheng],
UniVTG: Towards Unified Video-Language Temporal Grounding,
ICCV23(2782-2792)
IEEE DOI Code:
WWW Link. 2401
BibRef

Liu, Y.[Yang], Zhang, J.H.[Jia-Hua], Chen, Q.C.[Qing-Chao], Peng, Y.X.[Yu-Xin],
Confidence-aware Pseudo-label Learning for Weakly Supervised Visual Grounding,
ICCV23(2816-2826)
IEEE DOI Code:
WWW Link. 2401
BibRef

Khoshsirat, S.[Seyedalireza], Kambhamettu, C.[Chandra],
Sentence Attention Blocks for Answer Grounding,
ICCV23(6057-6067)
IEEE DOI 2401
BibRef

Li, H.X.[Hong-Xiang], Cao, M.[Meng], Cheng, X.[Xuxin], Li, Y.[Yaowei], Zhu, Z.H.[Zhi-Hong], Zou, Y.X.[Yue-Xian],
G2L: Semantically Aligned and Uniform Video Grounding via Geodesic and Game Theory,
ICCV23(11998-12008)
IEEE DOI 2401
BibRef

Li, H.[Hanjun], Shu, X.J.[Xiu-Jun], He, S.[Sunan], Qiao, R.Z.[Rui-Zhi], Wen, W.[Wei], Guo, T.[Taian], Gan, B.[Bei], Sun, X.[Xing],
D3G: Exploring Gaussian Prior for Temporal Sentence Grounding with Glance Annotation,
ICCV23(13688-13700)
IEEE DOI Code:
WWW Link. 2401
BibRef

Pan, Y.L.[Yu-Lin], He, X.T.[Xiang-Teng], Gong, B.[Biao], Lv, Y.L.[Yi-Liang], Shen, Y.J.[Yu-Jun], Peng, Y.X.[Yu-Xin], Zhao, D.L.[De-Li],
Scanning Only Once: An End-to-end Framework for Fast Temporal Grounding in Long Videos,
ICCV23(13721-13731)
IEEE DOI Code:
WWW Link. 2401
BibRef

Jang, J.[Jinhyun], Park, J.[Jungin], Kim, J.[Jin], Kwon, H.[Hyeongjun], Sohn, K.H.[Kwang-Hoon],
Knowing Where to Focus: Event-aware Transformer for Video Grounding,
ICCV23(13800-13810)
IEEE DOI Code:
WWW Link. 2401
BibRef

Zhang, Y.M.[Yi-Ming], Gong, Z.[ZeMing], Chang, A.X.[Angel X.],
Multi3DRefer: Grounding Text Description to Multiple 3D Objects,
ICCV23(15179-15179)
IEEE DOI 2401
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Chen, C.[Chongyan], Anjum, S.[Samreen], Gurari, D.[Danna],
VQA Therapy: Exploring Answer Differences by Visually Grounding Answers,
ICCV23(15269-15279)
IEEE DOI Code:
WWW Link. 2401
BibRef

Li, H.[Huan], Wei, P.[Ping], Ma, Z.[Zeyu], Zheng, N.N.[Nan-Ning],
Inverse Compositional Learning for Weakly-supervised Relation Grounding,
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IEEE DOI 2401
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Chen, D.Z.Y.[Dave Zhen-Yu], Hu, R.[Ronghang], Chen, X.L.[Xin-Lei], Nießner, M.[Matthias], Chang, A.X.[Angel X.],
UniT3D: A Unified Transformer for 3D Dense Captioning and Visual Grounding,
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IEEE DOI 2401
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An empirical study of the effect of video encoders on Temporal Video Grounding,
CLVL23(2842-2847)
IEEE DOI 2401
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Wang, Z.[Zehan], Huang, H.F.[Hai-Feng], Zhao, Y.[Yang], Li, L.J.[Lin-Jun], Cheng, X.[Xize], Zhu, Y.C.[Yi-Chen], Yin, A.[Aoxiong], Zhao, Z.[Zhou],
Distilling Coarse-to-Fine Semantic Matching Knowledge for Weakly Supervised 3D Visual Grounding,
ICCV23(2662-2671)
IEEE DOI 2401
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Guo, Z.[Zoey], Tang, Y.[Yiwen], Zhang, R.[Ray], Wang, D.[Dong], Wang, Z.G.[Zhi-Gang], Zhao, B.[Bin], Li, X.L.[Xue-Long],
ViewRefer: Grasp the Multi-view Knowledge for 3D Visual Grounding,
ICCV23(15326-15337)
IEEE DOI 2401
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Li, M.[Menghao], Wang, C.L.[Chun-Lei], Feng, W.[Wenquan], Lyu, S.C.[Shu-Chang], Cheng, G.L.[Guang-Liang], Li, X.T.[Xiang-Tai], Liu, B.[Binghao], Zhao, Q.[Qi],
Iterative Robust Visual Grounding with Masked Reference based Centerpoint Supervision,
VLAR23(4653-4658)
IEEE DOI Code:
WWW Link. 2401
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Hsu, J.[Joy], Mao, J.Y.[Jia-Yuan], Wu, J.J.[Jia-Jun],
NS3D: Neuro-Symbolic Grounding of 3D Objects and Relations,
CVPR23(2614-2623)
IEEE DOI 2309
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Uzkent, B.[Burak], Garg, A.[Amanmeet], Zhu, W.T.[Wen-Tao], Doshi, K.[Keval], Yi, J.[Jingru], Wang, X.L.[Xiao-Long], Omar, M.[Mohamed],
Dynamic Inference with Grounding Based Vision and Language Models,
CVPR23(2624-2633)
IEEE DOI 2309
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Cao, M.[Meng], Wei, F.Y.[Fang-Yun], Xu, C.[Can], Geng, X.[Xiubo], Chen, L.[Long], Zhang, C.[Can], Zou, Y.X.[Yue-Xian], Shen, T.[Tao], Jiang, D.X.[Da-Xin],
Iterative Proposal Refinement for Weakly-Supervised Video Grounding,
CVPR23(6524-6534)
IEEE DOI 2309
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Wang, L.[Lan], Mittal, G.[Gaurav], Sajeev, S.[Sandra], Yu, Y.[Ye], Hall, M.[Matthew], Boddeti, V.N.[Vishnu Naresh], Chen, M.[Mei],
ProTéGé: Untrimmed Pretraining for Video Temporal Grounding by Video Temporal Grounding,
CVPR23(6575-6585)
IEEE DOI 2309
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Hwang, M.Y.[Min-Young], Jeong, J.Y.[Jae-Yeon], Kim, M.S.[Min-Soo], Oh, Y.[Yoonseon], Oh, S.H.[Song-Hwai],
Meta-Explore: Exploratory Hierarchical Vision-and-Language Navigation Using Scene Object Spectrum Grounding,
CVPR23(6683-6693)
IEEE DOI 2309
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Chen, J.[Joya], Gao, D.F.[Di-Fei], Lin, K.Q.[Kevin Qinghong], Shou, M.Z.[Mike Zheng],
Affordance Grounding from Demonstration Video to Target Image,
CVPR23(6799-6808)
IEEE DOI 2309
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Shao, R.[Rui], Wu, T.X.[Tian-Xing], Liu, Z.W.[Zi-Wei],
Detecting and Grounding Multi-Modal Media Manipulation,
CVPR23(6904-6913)
IEEE DOI 2309
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Shaharabany, T.[Tal], Wolf, L.[Lior],
Similarity Maps for Self-Training Weakly-Supervised Phrase Grounding,
CVPR23(6925-6934)
IEEE DOI 2309
BibRef

Su, W.[Wei], Miao, P.[Peihan], Dou, H.Z.[Huan-Zhang], Wang, G.[Gaoang], Qiao, L.[Liang], Li, Z.[Zheyang], Li, X.[Xi],
Language Adaptive Weight Generation for Multi-Task Visual Grounding,
CVPR23(10857-10866)
IEEE DOI 2309
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Li, G.[Gen], Jampani, V.[Varun], Sun, D.Q.[De-Qing], Sevilla-Lara, L.[Laura],
LOCATE: Localize and Transfer Object Parts for Weakly Supervised Affordance Grounding,
CVPR23(10922-10931)
IEEE DOI 2309
BibRef

Kim, S.[Siwon], Oh, J.[Jinoh], Lee, S.[Sungjin], Yu, S.[Seunghak], Do, J.[Jaeyoung], Taghavi, T.[Tara],
Grounding Counterfactual Explanation of Image Classifiers to Textual Concept Space,
CVPR23(10942-10950)
IEEE DOI 2309
BibRef

Zhang, Y.M.[Yi-Meng], Chen, X.[Xin], Jia, J.H.[Jing-Han], Liu, S.[Sijia], Ding, K.[Ke],
Text-Visual Prompting for Efficient 2D Temporal Video Grounding,
CVPR23(14794-14804)
IEEE DOI 2309
BibRef

Chen, Z.H.[Zhi-Hong], Zhang, R.[Ruifei], Song, Y.B.[Yi-Bing], Wan, X.[Xiang], Li, G.B.[Guan-Bin],
Advancing Visual Grounding with Scene Knowledge: Benchmark and Method,
CVPR23(15039-15049)
IEEE DOI 2309
BibRef

Huang, Y.F.[Yi-Fei], Yang, L.[Lijin], Sato, Y.[Yoichi],
Weakly Supervised Temporal Sentence Grounding with Uncertainty-Guided Self-training,
CVPR23(18908-18918)
IEEE DOI 2309
BibRef

Tan, C.[Chaolei], Lin, Z.[Zihang], Hu, J.F.[Jian-Fang], Zheng, W.S.[Wei-Shi], Lai, J.H.[Jian-Huang],
Hierarchical Semantic Correspondence Networks for Video Paragraph Grounding,
CVPR23(18973-18982)
IEEE DOI 2309
BibRef

Yang, Z.Y.[Zi-Yan], Kafle, K.[Kushal], Dernoncourt, F.[Franck], Ordonez, V.[Vicente],
Improving Visual Grounding by Encouraging Consistent Gradient-Based Explanations,
CVPR23(19165-19174)
IEEE DOI 2309
BibRef

Wu, Y.M.[Yan-Min], Cheng, X.H.[Xin-Hua], Zhang, R.[Renrui], Cheng, Z.[Zesen], Zhang, J.[Jian],
EDA: Explicit Text-Decoupling and Dense Alignment for 3D Visual Grounding,
CVPR23(19231-19242)
IEEE DOI 2309
BibRef

Li, M.Z.[Meng-Ze], Wang, H.[Han], Zhang, W.Q.[Wen-Qiao], Miao, J.X.[Jia-Xu], Zhao, Z.[Zhou], Zhang, S.Y.[Sheng-Yu], Ji, W.[Wei], Wu, F.[Fei],
WINNER: Weakly-supervised hIerarchical decompositioN and aligNment for spatio-tEmporal video gRounding,
CVPR23(23090-23099)
IEEE DOI 2309
BibRef

Lin, Z.H.[Zi-Hang], Tan, C.L.[Chao-Lei], Hu, J.F.[Jian-Fang], Jin, Z.[Zhi], Ye, T.[Tiancai], Zheng, W.S.[Wei-Shi],
Collaborative Static and Dynamic Vision-Language Streams for Spatio-Temporal Video Grounding,
CVPR23(23100-23109)
IEEE DOI 2309
BibRef

Yang, L.[Lijin], Kong, Q.[Quan], Yang, H.K.[Hsuan-Kung], Kehl, W.[Wadim], Sato, Y.[Yoichi], Kobori, N.[Norimasa],
DeCo: Decomposition and Reconstruction for Compositional Temporal Grounding via Coarse-to-Fine Contrastive Ranking,
CVPR23(23130-23140)
IEEE DOI 2309
BibRef

Zhou, L.[Li], Zhou, Z.[Zikun], Mao, K.[Kaige], He, Z.Y.[Zhen-Yu],
Joint Visual Grounding and Tracking with Natural Language Specification,
CVPR23(23151-23160)
IEEE DOI 2309
BibRef

Devaraj, C.[Chinmaya], Fermüller, C.[Cornelia], Aloimonos, Y.F.[Yi-Fannis],
Incorporating Visual Grounding In GCN For Zero-shot Learning Of Human Object Interaction Actions,
L3D-IVU23(5008-5017)
IEEE DOI 2309
BibRef

Fang, X.[Xiang], Liu, D.Z.[Dai-Zong], Zhou, P.[Pan], Nan, G.S.[Guo-Shun],
You Can Ground Earlier than See: An Effective and Efficient Pipeline for Temporal Sentence Grounding in Compressed Videos,
CVPR23(2448-2460)
IEEE DOI 2309
BibRef

Fu, T.J.[Tsu-Jui], Li, L.J.[Lin-Jie], Gan, Z.[Zhe], Lin, K.[Kevin], Wang, W.Y.[William Yang], Wang, L.J.[Li-Juan], Liu, Z.C.[Zi-Cheng],
An Empirical Study of End-to-End Video-Language Transformers with Masked Visual Modeling,
CVPR23(22898-22909)
IEEE DOI 2309
BibRef

Li, L.J.[Lin-Jie], Gan, Z.[Zhe], Lin, K.[Kevin], Lin, C.C.[Chung-Ching], Liu, Z.C.[Zi-Cheng], Liu, C.[Ce], Wang, L.J.[Li-Juan],
LAVENDER: Unifying Video-Language Understanding as Masked Language Modeling,
CVPR23(23119-23129)
IEEE DOI 2309
BibRef

Dong, J.X.[Jian-Xiang], Yin, Z.Z.[Zhao-Zheng],
Boundary-aware Temporal Sentence Grounding with Adaptive Proposal Refinement,
ACCV22(IV:641-657).
Springer DOI 2307
BibRef

Gao, Y.Z.[Yi-Zhao], Lu, Z.W.[Zhi-Wu],
SST-VLM: Sparse Sampling-twice Inspired Video-language Model,
ACCV22(IV:537-553).
Springer DOI 2307
BibRef

Pacheco-Ortega, A.[Abel], Mayol-Cuervas, W.[Walterio],
One-shot Learning for Human Affordance Detection,
CVMeta22(758-766).
Springer DOI 2304
BibRef

Ho, C.H.[Chih-Hui], Appalaraju, S.[Srikar], Jasani, B.[Bhavan], Manmatha, R., Vasconcelos, N.M.[Nuno M.],
YORO - Lightweight End to End Visual Grounding,
CMMP22(3-23).
Springer DOI 2304
BibRef

Kim, D.[Dahye], Park, J.[Jungin], Lee, J.Y.[Ji-Young], Park, S.[Seongheon], Sohn, K.H.[Kwang-Hoon],
Language-free Training for Zero-shot Video Grounding,
WACV23(2538-2547)
IEEE DOI 2302
Training, Visualization, Grounding, Annotations, Natural languages, Standards BibRef

Le, T.M.[Thao Minh], Le, V.[Vuong], Gupta, S.I.[Sun-Il], Venkatesh, S.[Svetha], Tran, T.[Truyen],
Guiding Visual Question Answering with Attention Priors,
WACV23(4370-4379)
IEEE DOI 2302
Training, Visualization, Systematics, Grounding, Semantics, Linguistics, Cognition, visual reasoning) BibRef

Chou, S.H.[Shih-Han], Fan, Z.C.[Zi-Cong], Little, J.J.[James J.], Sigal, L.[Leonid],
Semi-Supervised Grounding Alignment for Multi-Modal Feature Learning,
CRV22(48-57)
IEEE DOI 2301
Representation learning, Training, Visualization, Grounding, Annotations, Benchmark testing, grounding, VCR BibRef

Gupta, K.[Kshitij], Gautam, D.[Devansh], Mamidi, R.[Radhika],
cViL: Cross-Lingual Training of Vision-Language Models using Knowledge Distillation,
ICPR22(1734-1741)
IEEE DOI 2212
Training, Visualization, Analytical models, Pipelines, Transformers, Question answering (information retrieval), Data models BibRef

Chen, D.Z.Y.[Dave Zhen-Yu], Wu, Q.R.[Qi-Rui], Nießner, M.[Matthias], Chang, A.X.[Angel X.],
D 3 Net: A Unified Speaker-Listener Architecture for 3D Dense Captioning and Visual Grounding,
ECCV22(XXXII:487-505).
Springer DOI 2211
BibRef

Parcalabescu, L., Frank, A.,
Exploring Phrase Grounding without Training: Contextualisation and Extension to Text-Based Image Retrieval,
MULWS20(4137-4146)
IEEE DOI 2008
Grounding, Visualization, Detectors, Task analysis, Linguistics, Proposals, Training BibRef

Tung, H., Harley, A.W., Huang, L., Fragkiadaki, K.,
Reward Learning from Narrated Demonstrations,
CVPR18(7004-7013)
IEEE DOI 1812
Visualization, Natural languages, Detectors, Grounding, Speech recognition, Microphones BibRef

Cohen, N.[Niv], Gal, R.[Rinon], Meirom, E.A.[Eli A.], Chechik, G.[Gal], Atzmon, Y.[Yuval],
'This Is My Unicorn, Fluffy': Personalizing Frozen Vision-Language Representations,
ECCV22(XX:558-577).
Springer DOI 2211
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Lee, J.H.[Ju-Hee], Kang, J.W.[Je-Won],
Relation Enhanced Vision Language Pre-Training,
ICIP22(2286-2290)
IEEE DOI 2211
Visualization, Semantics, Force, Transformers, Task analysis, vision-language pre-training BibRef

Khan, Z.[Zaid], Kumar, B.G.V.[B. G. Vijay], Yu, X.[Xiang], Schulter, S.[Samuel], Chandraker, M.[Manmohan], Fu, Y.[Yun],
Single-Stream Multi-level Alignment for Vision-Language Pretraining,
ECCV22(XXXVI:735-751).
Springer DOI 2211
BibRef

Wang, R.[Renhao], Zhao, H.[Hang], Gao, Y.[Yang],
CYBORGS: Contrastively Bootstrapping Object Representations by Grounding in Segmentation,
ECCV22(XXXI:260-277).
Springer DOI 2211
BibRef

Yang, Z.Y.[Zheng-Yuan], Gan, Z.[Zhe], Wang, J.F.[Jian-Feng], Hu, X.W.[Xiao-Wei], Ahmed, F.[Faisal], Liu, Z.C.[Zi-Cheng], Lu, Y.[Yumao], Wang, L.J.[Li-Juan],
UniTAB: Unifying Text and Box Outputs for Grounded Vision-Language Modeling,
ECCV22(XXXVI:521-539).
Springer DOI 2211
BibRef

Li, H.[Huan], Wei, P.[Ping], Li, J.P.[Jia-Peng], Ma, Z.[Zeyu], Shang, J.[Jiahui], Zheng, N.N.[Nan-Ning],
Asymmetric Relation Consistency Reasoning for Video Relation Grounding,
ECCV22(XXXV:125-141).
Springer DOI 2211
BibRef

Dvornik, N.[Nikita], Hadji, I.[Isma], Pham, H.[Hai], Bhatt, D.[Dhaivat], Martinez, B.[Brais], Fazly, A.[Afsaneh], Jepson, A.D.[Allan D.],
Flow Graph to Video Grounding for Weakly-Supervised Multi-step Localization,
ECCV22(XXXV:319-335).
Springer DOI 2211
BibRef

Qu, M.X.[Meng-Xue], Wu, Y.[Yu], Liu, W.[Wu], Gong, Q.Q.[Qi-Qi], Liang, X.D.[Xiao-Dan], Russakovsky, O.[Olga], Zhao, Y.[Yao], Wei, Y.C.[Yun-Chao],
SiRi: A Simple Selective Retraining Mechanism for Transformer-Based Visual Grounding,
ECCV22(XXXV:546-562).
Springer DOI 2211
BibRef

Zhu, C.Y.[Chao-Yang], Zhou, Y.[Yiyi], Shen, Y.H.[Yun-Hang], Luo, G.[Gen], Pan, X.J.[Xing-Jia], Chen, M.B.L.C.[Ming-Bao Lin. Chao], Cao, L.J.[Liu-Juan], Sun, X.S.[Xiao-Shuai], Ji, R.R.[Rong-Rong],
SeqTR: A Simple Yet Universal Network for Visual Grounding,
ECCV22(XXXV:598-615).
Springer DOI 2211
BibRef

Khan, A.U.[Aisha Urooj], Kuehne, H.[Hilde], Gan, C.[Chuang], da Vitoria Lobo, N.[Niels], Shah, M.[Mubarak],
Weakly Supervised Grounding for VQA in Vision-Language Transformers,
ECCV22(XXXV:652-670).
Springer DOI 2211
BibRef

Hao, J.[Jiachang], Sun, H.F.[Hai-Feng], Ren, P.F.[Peng-Fei], Wang, J.Y.[Jing-Yu], Qi, Q.[Qi], Liao, J.X.[Jian-Xin],
Can Shuffling Video Benefit Temporal Bias Problem: A Novel Training Framework for Temporal Grounding,
ECCV22(XXXVI:130-147).
Springer DOI 2211
BibRef

Jain, A.[Ayush], Gkanatsios, N.[Nikolaos], Mediratta, I.[Ishita], Fragkiadaki, K.[Katerina],
Bottom Up Top Down Detection Transformers for Language Grounding in Images and Point Clouds,
ECCV22(XXXVI:417-433).
Springer DOI 2211
BibRef

Heisler, M.[Morgan], Banitalebi-Dehkordi, A.[Amin], Zhang, Y.[Yong],
SemAug: Semantically Meaningful Image Augmentations for Object Detection Through Language Grounding,
ECCV22(XXXVI:610-626).
Springer DOI 2211
BibRef

Min, S.[Seonwoo], Park, N.[Nokyung], Kim, S.[Siwon], Park, S.H.[Seung-Hyun], Kim, J.[Jinkyu],
Grounding Visual Representations with Texts for Domain Generalization,
ECCV22(XXXVII:37-53).
Springer DOI 2211
BibRef

Wang, J.[Jia], Wu, H.Y.[Hung-Yi], Chen, J.C.[Jun-Cheng], Shuai, H.H.[Hong-Han], Cheng, W.H.[Wen-Huang],
Residual Graph Attention Network and Expression-Respect Data Augmentation Aided Visual Grounding,
ICIP22(326-330)
IEEE DOI 2211
Visualization, Grounding, Training data, Cognition, Data models, Complexity theory, Residual graph attention network, Visual grounding BibRef

Xiong, Z.[Zeyu], Liu, D.[Daizong], Zhou, P.[Pan],
Gaussian Kernel-Based Cross Modal Network for Spatio-Temporal Video Grounding,
ICIP22(2481-2485)
IEEE DOI 2211
Heating systems, Grounding, Natural languages, Electron tubes, Task analysis, anchor-free, Gaussian kernel, spatial-temporal video grounding BibRef

Alaniz, S.[Stephan], Federici, M.[Marco], Akata, Z.[Zeynep],
Compositional Mixture Representations for Vision and Text,
L3D-IVU22(4201-4210)
IEEE DOI 2210
Representation learning, Visualization, Computational modeling, Semantics, Image retrieval, Employment, Object detection BibRef

Cho, J.[Junhyeong], Yoon, Y.[Youngseok], Kwak, S.[Suha],
Collaborative Transformers for Grounded Situation Recognition,
CVPR22(19627-19636)
IEEE DOI 2210
Measurement, Training, Visualization, Computational modeling, Estimation, Collaboration, Predictive models, Visual reasoning BibRef

Singh, A.[Amanpreet], Hu, R.[Ronghang], Goswami, V.[Vedanuj], Couairon, G.[Guillaume], Galuba, W.[Wojciech], Rohrbach, M.[Marcus], Kiela, D.[Douwe],
FLAVA: A Foundational Language And Vision Alignment Model,
CVPR22(15617-15629)
IEEE DOI 2210
Analytical models, Computational modeling, Pattern recognition, Task analysis, Vision+language BibRef

Saini, N.[Nirat], Pham, K.[Khoi], Shrivastava, A.[Abhinav],
Disentangling Visual Embeddings for Attributes and Objects,
CVPR22(13648-13657)
IEEE DOI 2210

WWW Link. Visualization, Codes, Benchmark testing, Linguistics, Feature extraction, Recognition: detection, Visual reasoning BibRef

Ge, Y.Y.[Yu-Ying], Ge, Y.X.[Yi-Xiao], Liu, X.H.[Xi-Hui], Wang, J.P.[Jin-Peng], Wu, J.P.[Jian-Ping], Shan, Y.[Ying], Qie, X.[Xiaohu], Luo, P.[Ping],
MILES: Visual BERT Pre-training with Injected Language Semantics for Video-Text Retrieval,
ECCV22(XXXV:691-708).
Springer DOI 2211
BibRef

Wang, A.J.P.[Alex Jin-Peng], Ge, Y.X.[Yi-Xiao], Cai, G.[Guanyu], Yan, R.[Rui], Lin, X.D.[Xu-Dong], Shan, Y.[Ying], Qie, X.[Xiaohu], Shou, M.Z.[Mike Zheng],
Object-aware Video-language Pre-training for Retrieval,
CVPR22(3303-3312)
IEEE DOI 2210
Training, Visualization, Machine vision, Semantics, Detectors, Transformers, retrieval BibRef

Li, D.X.[Dong-Xu], Li, J.N.[Jun-Nan], Li, H.D.[Hong-Dong], Niebles, J.C.[Juan Carlos], Hoi, S.C.H.[Steven C.H.],
Align and Prompt: Video-and-Language Pre-training with Entity Prompts,
CVPR22(4943-4953)
IEEE DOI 2210
Representation learning, Vocabulary, Visualization, Semantics, Detectors, Transformers, Pattern recognition, Vision + language, Video analysis and understanding BibRef

Xue, H.W.[Hong-Wei], Hang, T.[Tiankai], Zeng, Y.H.[Yan-Hong], Sun, Y.C.[Yu-Chong], Liu, B.[Bei], Yang, H.[Huan], Fu, J.L.[Jian-Long], Guo, B.N.[Bai-Ning],
Advancing High-Resolution Video-Language Representation with Large-Scale Video Transcriptions,
CVPR22(5026-5035)
IEEE DOI 2210
Visualization, Video on demand, Computational modeling, Superresolution, Semantics, Transformers, Feature extraction, Self- semi- meta- unsupervised learning BibRef

Sammani, F.[Fawaz], Mukherjee, T.[Tanmoy], Deligiannis, N.[Nikos],
NLX-GPT: A Model for Natural Language Explanations in Vision and Vision-Language Tasks,
CVPR22(8312-8322)
IEEE DOI 2210
Current measurement, Computational modeling, Natural languages, Decision making, Memory management, Predictive models, Vision + language BibRef

Lin, B.Q.[Bing-Qian], Zhu, Y.[Yi], Chen, Z.C.[Zi-Cong], Liang, X.[Xiwen], Liu, J.Z.[Jian-Zhuang], Liang, X.D.[Xiao-Dan],
ADAPT: Vision-Language Navigation with Modality-Aligned Action Prompts,
CVPR22(15375-15385)
IEEE DOI 2210
Visualization, Adaptation models, Navigation, Transformers, Nonhomogeneous media, Pattern recognition, Vision + language BibRef

Dou, Z.Y.[Zi-Yi], Xu, Y.C.[Yi-Chong], Gan, Z.[Zhe], Wang, J.F.[Jian-Feng], Wang, S.H.[Shuo-Hang], Wang, L.J.[Li-Juan], Zhu, C.G.[Chen-Guang], Zhang, P.C.[Peng-Chuan], Yuan, L.[Lu], Peng, N.[Nanyun], Liu, Z.C.[Zi-Cheng], Zeng, M.[Michael],
An Empirical Study of Training End-to-End Vision-and-Language Transformers,
CVPR22(18145-18155)
IEEE DOI 2210
Meters, Training, Codes, Computational modeling, Transformers, Pattern recognition, Vision + language, Machine learning BibRef

Xu, Z.P.[Zi-Peng], Lin, T.W.[Tian-Wei], Tang, H.[Hao], Li, F.[Fu], He, D.L.[Dong-Liang], Sebe, N.[Nicu], Timofte, R.[Radu], Van Gool, L.J.[Luc J.], Ding, E.[Errui],
Predict, Prevent, and Evaluate: Disentangled Text-Driven Image Manipulation Empowered by Pre-Trained Vision-Language Model,
CVPR22(18208-18217)
IEEE DOI 2210
Personal protective equipment, Measurement, Training, Annotations, Face recognition, Computational modeling, Face and gestures BibRef

Du, Y.[Yu], Wei, F.Y.[Fang-Yun], Zhang, Z.[Zihe], Shi, M.J.[Miao-Jing], Gao, Y.[Yue], Li, G.Q.[Guo-Qi],
Learning to Prompt for Open-Vocabulary Object Detection with Vision-Language Model,
CVPR22(14064-14073)
IEEE DOI 2210
Training, Representation learning, Visualization, Transfer learning, Object detection, Detectors, Self- semi- meta- unsupervised learning BibRef

Chang, Y.S.[Ying-Shan], Cao, G.H.[Gui-Hong], Narang, M.[Mridu], Gao, J.F.[Jian-Feng], Suzuki, H.[Hisami], Bisk, Y.[Yonatan],
WebQA: Multihop and Multimodal QA,
CVPR22(16474-16483)
IEEE DOI 2210
Knowledge engineering, Representation learning, Visualization, Transformers, Cognition, Visual reasoning BibRef

Zellers, R.[Rowan], Lu, J.[Jiasen], Lu, X.[Ximing], Yu, Y.[Youngjae], Zhao, Y.P.[Yan-Peng], Salehi, M.[Mohammadreza], Kusupati, A.[Aditya], Hessel, J.[Jack], Farhadi, A.[Ali], Choi, Y.[Yejin],
MERLOT RESERVE: Neural Script Knowledge through Vision and Language and Sound,
CVPR22(16354-16366)
IEEE DOI 2210
Training, Representation learning, Visualization, Ethics, Video on demand, Navigation, Stars, Vision + language, Visual reasoning BibRef

Gupta, T.[Tanmay], Kamath, A.[Amita], Kembhavi, A.[Aniruddha], Hoiem, D.[Derek],
Towards General Purpose Vision Systems: An End-to-End Task-Agnostic Vision-Language Architecture,
CVPR22(16378-16388)
IEEE DOI 2210
Training, Visualization, Machine vision, Object detection, Network architecture, Vision + language BibRef

Surís, D.[Dídac], Epstein, D.[Dave], Vondrick, C.[Carl],
Globetrotter: Connecting Languages by Connecting Images,
CVPR22(16453-16463)
IEEE DOI 2210
Training, Deep learning, Visualization, Image segmentation, Codes, Computational modeling, Vision + language BibRef

Zhu, H.D.[Hai-Dong], Sadhu, A.[Arka], Zheng, Z.H.[Zhao-Heng], Nevatia, R.[Ram],
Utilizing Every Image Object for Semi-supervised Phrase Grounding,
WACV21(2209-2218)
IEEE DOI 2106
Localize an object in the image given a referring expression. Training, Grounding, Annotations, Detectors, Task analysis BibRef

Sung, Y.L.[Yi-Lin], Cho, J.[Jaemin], Bansal, M.[Mohit],
VL-ADAPTER: Parameter-Efficient Transfer Learning for Vision-and-Language Tasks,
CVPR22(5217-5227)
IEEE DOI 2210
Training, Adaptation models, Computational modeling, Transfer learning, Benchmark testing, Multitasking, Vision + language BibRef

Wu, D.M.[Dong-Ming], Dong, X.P.[Xing-Ping], Shao, L.[Ling], Shen, J.B.[Jian-Bing],
Multi-Level Representation Learning with Semantic Alignment for Referring Video Object Segmentation,
CVPR22(4986-4995)
IEEE DOI 2210
Representation learning, Visualization, Adaptation models, Shape, Grounding, Semantics, Vision + language, Segmentation, grouping and shape analysis BibRef

Gao, K.[Kaifeng], Chen, L.[Long], Niu, Y.[Yulei], Shao, J.[Jian], Xiao, J.[Jun],
Classification-Then-Grounding: Reformulating Video Scene Graphs as Temporal Bipartite Graphs,
CVPR22(19475-19484)
IEEE DOI 2210
Image analysis, Codes, Grounding, Semantics, Bipartite graph, Pattern recognition, Scene analysis and understanding, Vision + language BibRef

Kesen, I.[Ilker], Can, O.A.[Ozan Arkan], Erdem, E.[Erkut], Erdem, A.[Aykut], Yüret, D.[Deniz],
Modulating Bottom-Up and Top-Down Visual Processing via Language-Conditional Filters,
MULA22(4609-4619)
IEEE DOI 2210
Visualization, Image segmentation, Image color analysis, Grounding, Computational modeling, Process control, Predictive models BibRef

Nebbia, G.[Giacomo], Kovashka, A.[Adriana],
Doubling down: sparse grounding with an additional, almost-matching caption for detection-oriented multimodal pretraining,
MULA22(4641-4650)
IEEE DOI 2210
Deep learning, Visualization, Grounding, Computational modeling, Data models BibRef

Ye, J.[Jiabo], Tian, J.F.[Jun-Feng], Yan, M.[Ming], Yang, X.S.[Xiao-Shan], Wang, X.[Xuwu], Zhang, J.[Ji], He, L.[Liang], Lin, X.[Xin],
Shifting More Attention to Visual Backbone: Query-modulated Refinement Networks for End-to-End Visual Grounding,
CVPR22(15481-15491)
IEEE DOI 2210
Training, Visualization, Grounding, Refining, Natural languages, Feature extraction, Vision + language, Visual reasoning BibRef

Jiang, H.J.[Hao-Jun], Lin, Y.Z.[Yuan-Ze], Han, D.C.[Dong-Chen], Song, S.[Shiji], Huang, G.[Gao],
Pseudo-Q: Generating Pseudo Language Queries for Visual Grounding,
CVPR22(15492-15502)
IEEE DOI 2210
Training, Visualization, Costs, Grounding, Annotations, Computational modeling, Natural languages, Vision + language, Visual reasoning BibRef

Huang, S.[Shijia], Chen, Y.L.[Yi-Lun], Jia, J.Y.[Jia-Ya], Wang, L.W.[Li-Wei],
Multi-View Transformer for 3D Visual Grounding,
CVPR22(15503-15512)
IEEE DOI 2210
Point cloud compression, Visualization, Solid modeling, Grounding, Natural languages, Vision + language BibRef

Chen, S.[Sijia], Li, B.[Baochun],
Multi-Modal Dynamic Graph Transformer for Visual Grounding,
CVPR22(15513-15522)
IEEE DOI 2210
Visualization, Image analysis, Grounding, Computational modeling, Semantics, Natural languages, Vision + language, Scene analysis and understanding BibRef

Mavroudi, E.[Effrosyni], Vidal, R.[René],
Weakly-Supervised Generation and Grounding of Visual Descriptions with Conditional Generative Models,
CVPR22(15523-15533)
IEEE DOI 2210
Visualization, Grounding, Video description, Computational modeling, Random variables, Pattern recognition, Video analysis and understanding BibRef

Chen, S.[Shi], Zhao, Q.[Qi],
REX: Reasoning-aware and Grounded Explanation,
CVPR22(15565-15574)
IEEE DOI 2210
Visualization, Codes, Grounding, Transfer learning, Decision making, Multitasking, Vision + language, Visual reasoning BibRef

Lou, C.[Chao], Han, W.J.[Wen-Juan], Lin, Y.[Yuhuan], Zheng, Z.L.[Zi-Long],
Unsupervised Vision-Language Parsing: Seamlessly Bridging Visual Scene Graphs with Language Structures via Dependency Relationships,
CVPR22(15586-15595)
IEEE DOI 2210
Visualization, Grounding, Buildings, Benchmark testing, Linguistics, Pattern recognition, Vision + language, Explainable computer vision BibRef

Luo, J.Y.[Jun-Yu], Fu, J.[Jiahui], Kong, X.[Xianghao], Gao, C.[Chen], Ren, H.B.[Hai-Bing], Shen, H.[Hao], Xia, H.X.[Hua-Xia], Liu, S.[Si],
3D-SPS: Single-Stage 3D Visual Grounding via Referred Point Progressive Selection,
CVPR22(16433-16442)
IEEE DOI 2210
Point cloud compression, Visualization, Solid modeling, Grounding, Detectors, Vision + language BibRef

Cai, D.[Daigang], Zhao, L.C.[Li-Chen], Zhang, J.[Jing], Sheng, L.[Lu], Xu, D.[Dong],
3DJCG: A Unified Framework for Joint Dense Captioning and Visual Grounding on 3D Point Clouds,
CVPR22(16443-16452)
IEEE DOI 2210
Training, Point cloud compression, Visualization, Grounding, Performance gain, retrieval, categorization, Vision + language, Recognition: detection BibRef

Luo, H.C.[Hong-Chen], Zhai, W.[Wei], Zhang, J.[Jing], Cao, Y.[Yang], Tao, D.C.[Da-Cheng],
Learning Affordance Grounding from Exocentric Images,
CVPR22(2242-2251)
IEEE DOI 2210
Analytical models, Visualization, Grounding, Affordances, Computational modeling, Transforms, Feature extraction, Scene analysis and understanding BibRef

Jiang, X.[Xun], Xu, X.[Xing], Zhang, J.[Jingran], Shen, F.M.[Fu-Min], Cao, Z.[Zuo], Shen, H.T.[Heng Tao],
Semi-supervised Video Paragraph Grounding with Contrastive Encoder,
CVPR22(2456-2465)
IEEE DOI 2210
Training, Grounding, Annotations, Training data, Semisupervised learning, Transformers, Data models, Vision + language BibRef

Yu, W.[Wei], Chen, W.X.[Wen-Xin], Yin, S.[Songheng], Easterbrook, S.[Steve], Garg, A.[Animesh],
Modular Action Concept Grounding in Semantic Video Prediction,
CVPR22(3595-3604)
IEEE DOI 2210
Adaptation models, Visualization, Inverse problems, Grounding, Semantics, Object detection, Predictive models, Vision + language BibRef

Soldan, M.[Mattia], Pardo, A.[Alejandro], Alcázar, J.L.[Juan León], Heilbron, F.C.[Fabian Caba], Zhao, C.[Chen], Giancola, S.[Silvio], Ghanem, B.[Bernard],
MAD: A Scalable Dataset for Language Grounding in Videos from Movie Audio Descriptions,
CVPR22(5016-5025)
IEEE DOI 2210
Grounding, Annotations, Pipelines, Natural languages, Machine learning, Benchmark testing, Vision + language, Video analysis and understanding BibRef

Yang, L.[Li], Xu, Y.[Yan], Yuan, C.F.[Chun-Feng], Liu, W.[Wei], Li, B.[Bing], Hu, W.M.[Wei-Ming],
Improving Visual Grounding with Visual-Linguistic Verification and Iterative Reasoning,
CVPR22(9489-9498)
IEEE DOI 2210
Location awareness, Visualization, Grounding, Natural languages, Object detection, Transformers, Cognition, Recognition: detection, retrieval BibRef

Li, L.H.[Liunian Harold], Zhang, P.C.[Peng-Chuan], Zhang, H.T.[Hao-Tian], Yang, J.W.[Jian-Wei], Li, C.Y.[Chun-Yuan], Zhong, Y.[Yiwu], Wang, L.J.[Li-Juan], Yuan, L.[Lu], Zhang, L.[Lei], Hwang, J.N.[Jenq-Neng], Chang, K.W.[Kai-Wei], Gao, J.F.[Jian-Feng],
Grounded Language-Image Pre-training,
CVPR22(10955-10965)
IEEE DOI 2210
Visualization, Image recognition, Head, Grounding, Object detection, Data models, Deep learning architectures and techniques, Vision + language BibRef

Li, Y.C.[Yi-Cong], Wang, X.[Xiang], Xiao, J.B.[Jun-Bin], Ji, W.[Wei], Chua, T.S.[Tat-Seng],
Invariant Grounding for Video Question Answering,
CVPR22(2918-2927)
IEEE DOI 2210
Visualization, Correlation, Grounding, Semantics, Predictive models, Linguistics, Question answering (information retrieval), Vision + language BibRef

Yang, Z.Y.[Zheng-Yuan], Zhang, S.Y.[Song-Yang], Wang, L.W.[Li-Wei], Luo, J.B.[Jie-Bo],
SAT: 2D Semantics Assisted Training for 3D Visual Grounding,
ICCV21(1836-1846)
IEEE DOI 2203
Training, Point cloud compression, Representation learning, Visualization, Grounding, Semantics, Vision + language, BibRef

Chen, J.W.[Jun-Wen], Golisano, Y.K.[Yu Kong],
Explainable Video Entailment with Grounded Visual Evidence,
ICCV21(2001-2010)
IEEE DOI 2203
Training, Visualization, Grounding, Computational modeling, Decision making, Focusing, Vision + language, Video analysis and understanding BibRef

Zhao, L.C.[Li-Chen], Cai, D.[Daigang], Sheng, L.[Lu], Xu, D.[Dong],
3DVG-Transformer: Relation Modeling for Visual Grounding on Point Clouds,
ICCV21(2908-2917)
IEEE DOI 2203
Point cloud compression, Multiplexing, Visualization, Solid modeling, Grounding, Transformers, Vision + language BibRef

Feng, M.[Mingtao], Li, Z.[Zhen], Li, Q.[Qi], Zhang, L.[Liang], Zhang, X.[XiangDong], Zhu, G.M.[Guang-Ming], Zhang, H.[Hui], Wang, Y.[Yaonan], Mian, A.[Ajmal],
Free-form Description Guided 3D Visual Graph Network for Object Grounding in Point Cloud,
ICCV21(3702-3711)
IEEE DOI 2203
Point cloud compression, Visualization, Correlation, Grounding, Natural languages, Detection and localization in 2D and 3D, Visual reasoning and logical representation BibRef

Ding, X.P.[Xin-Peng], Wang, N.N.[Nan-Nan], Zhang, S.W.[Shi-Wei], Cheng, D.[De], Li, X.M.[Xiao-Meng], Huang, Z.Y.[Zi-Yuan], Tang, M.Q.[Ming-Qian], Gao, X.B.[Xin-Bo],
Support-Set Based Cross-Supervision for Video Grounding,
ICCV21(11553-11562)
IEEE DOI 2203
Training, Visualization, Costs, Correlation, Grounding, Semantics, Image and video retrieval, Vision + language BibRef

Khandelwal, S.[Siddhesh], Suhail, M.[Mohammed], Sigal, L.[Leonid],
Segmentation-grounded Scene Graph Generation,
ICCV21(15859-15869)
IEEE DOI 2203
Image segmentation, Visualization, Grounding, Annotations, Genomics, Scene analysis and understanding, Transfer/Low-shot/Semi/Unsupervised Learning BibRef

Patel, S.[Shivansh], Wani, S.[Saim], Jain, U.[Unnat], Schwing, A.[Alexander], Lazebnik, S.[Svetlana], Savva, M.[Manolis], Chang, A.X.[Angel X.],
Interpretation of Emergent Communication in Heterogeneous Collaborative Embodied Agents,
ICCV21(15993-15943)
IEEE DOI 2203
Systematics, Navigation, Grounding, Collaboration, Task analysis, Vision for robotics and autonomous vehicles, Explainable AI, Visual reasoning and logical representation BibRef

Shi, J.[Jing], Zhong, Y.[Yiwu], Xu, N.[Ning], Li, Y.[Yin], Xu, C.L.[Chen-Liang],
A Simple Baseline for Weakly-Supervised Scene Graph Generation,
ICCV21(16373-16382)
IEEE DOI 2203
Visualization, Grounding, Computational modeling, Pipelines, Genomics, Complexity theory, Scene analysis and understanding, Vision + language BibRef

Su, R.[Rui], Yu, Q.[Qian], Xu, D.[Dong],
STVGBert: A Visual-linguistic Transformer based Framework for Spatio-temporal Video Grounding,
ICCV21(1513-1522)
IEEE DOI 2203
Representation learning, Visualization, Grounding, Detectors, Benchmark testing, Transformers, Electron tubes, Vision + language, Video analysis and understanding BibRef

Cui, C.Y.Q.[Claire Yu-Qing], Khandelwal, A.[Apoorv], Artzi, Y.[Yoav], Snavely, N.[Noah], Averbuch-Elor, H.[Hadar],
Who's Waldo? Linking People Across Text and Images,
ICCV21(1354-1364)
IEEE DOI 2203
Visualization, Codes, Grounding, Force, Benchmark testing, Transformers, Vision + language, Datasets and evaluation BibRef

González, C.[Cristina], Ayobi, N.[Nicolás], Hernández, I.[Isabela], Hernández, J.[José], Pont-Tuset, J.[Jordi], Arbeláez, P.[Pablo],
Panoptic Narrative Grounding,
ICCV21(1344-1353)
IEEE DOI 2203
Measurement, Visualization, Image segmentation, Grounding, Annotations, Semantics, Vision + language, grouping and shape BibRef

Hong, Y.[Yining], Li, Q.[Qing], Zhu, S.C.[Song-Chun], Huang, S.Y.[Si-Yuan],
VLGrammar: Grounded Grammar Induction of Vision and Language,
ICCV21(1645-1654)
IEEE DOI 2203
Visualization, Semantics, Natural languages, Image retrieval, Probabilistic logic, Vision + language, BibRef

Yuan, Z.H.[Zhi-Hao], Yan, X.[Xu], Liao, Y.H.[Ying-Hong], Zhang, R.[Ruimao], Wang, S.[Sheng], Li, Z.[Zhen], Cui, S.G.[Shu-Guang],
InstanceRefer: Cooperative Holistic Understanding for Visual Grounding on Point Clouds through Instance Multi-level Contextual Referring,
ICCV21(1771-1780)
IEEE DOI 2203
Location awareness, Point cloud compression, Visualization, Solid modeling, Grounding, Predictive models, Vision + language, Visual reasoning and logical representation BibRef

Soldan, M.[Mattia], Xu, M.M.[Meng-Meng], Qu, S.[Sisi], Tegner, J.[Jesper], Ghanem, B.[Bernard],
VLG-Net: Video-Language Graph Matching Network for Video Grounding,
CVEU21(3217-3227)
IEEE DOI 2112
Location awareness, Grounding, Semantics, Syntactics, Graph neural networks BibRef

Lu, X.P.[Xiao-Peng], Fan, Z.[Zhen], Wang, Y.[Yansen], Oh, J.[Jean], Rosé, C.P.[Carolyn P.],
Localize, Group, and Select: Boosting Text-VQA by Scene Text Modeling,
XSAnim21(2631-2639)
IEEE DOI 2112
Integrated optics, Visualization, Grounding, Computational modeling, Knowledge discovery BibRef

Tian, Y.P.[Ya-Peng], Hu, D.[Di], Xu, C.L.[Chen-Liang],
Cyclic Co-Learning of Sounding Object Visual Grounding and Sound Separation,
CVPR21(2744-2753)
IEEE DOI 2111
Training, Visualization, Codes, Grounding, Computational modeling, Pattern recognition BibRef

Nan, G.S.[Guo-Shun], Qiao, R.[Rui], Xiao, Y.[Yao], Liu, J.[Jun], Leng, S.C.[Si-Cong], Zhang, H.[Hao], Lu, W.[Wei],
Interventional Video Grounding with Dual Contrastive Learning,
CVPR21(2764-2774)
IEEE DOI 2111
Visualization, Correlation, Grounding, Benchmark testing, Knowledge discovery, Data models, Pattern recognition BibRef

Zhao, Y.[Yang], Zhao, Z.[Zhou], Zhang, Z.[Zhu], Lin, Z.J.[Zhi-Jie],
Cascaded Prediction Network via Segment Tree for Temporal Video Grounding,
CVPR21(4195-4204)
IEEE DOI 2111
Costs, Grounding, Navigation, Fuses, Benchmark testing, Pattern recognition BibRef

Liu, Y.F.[Yong-Fei], Wan, B.[Bo], Ma, L.[Lin], He, X.M.[Xu-Ming],
Relation-aware Instance Refinement for Weakly Supervised Visual Grounding,
CVPR21(5608-5617)
IEEE DOI 2111
Location awareness, Learning systems, Visualization, Grounding, Semantics, Noise reduction, Benchmark testing BibRef

Liu, H.L.[Hao-Lin], Lin, A.[Anran], Han, X.G.[Xiao-Guang], Yang, L.[Lei], Yu, Y.Z.[Yi-Zhou], Cui, S.G.[Shu-Guang],
Refer-it-in-RGBD: A Bottom-up Approach for 3D Visual Grounding in RGBD Images,
CVPR21(6028-6037)
IEEE DOI 2111
Heating systems, Geometry, Visualization, Grounding, Fuses, Feature extraction BibRef

Lin, X.R.[Xiang-Ru], Li, G.B.[Guan-Bin], Yu, Y.Z.[Yi-Zhou],
Scene-Intuitive Agent for Remote Embodied Visual Grounding,
CVPR21(7032-7041)
IEEE DOI 2111
Training, Visualization, Grounding, Navigation, Fuses, Semantics, Pipelines BibRef

Liu, D.Z.[Dai-Zong], Qu, X.Y.[Xiao-Ye], Dong, J.F.[Jian-Feng], Zhou, P.[Pan], Cheng, Y.[Yu], Wei, W.[Wei], Xu, Z.[Zichuan], Xie, Y.[Yulai],
Context-aware Biaffine Localizing Network for Temporal Sentence Grounding,
CVPR21(11230-11239)
IEEE DOI 2111
Location awareness, Codes, Grounding, Cognition, Pattern recognition, Task analysis BibRef

Meng, Z.[Zihang], Yu, L.C.[Li-Cheng], Zhang, N.[Ning], Berg, T.[Tamara], Damavandi, B.[Babak], Singh, V.[Vikas], Bearman, A.[Amy],
Connecting What to Say With Where to Look by Modeling Human Attention Traces,
CVPR21(12674-12683)
IEEE DOI 2111
Measurement, Visualization, Grounding, Unified modeling language, Training data, Transformers BibRef

Wang, L.W.[Li-Wei], Huang, J.[Jing], Li, Y.[Yin], Xu, K.[Kun], Yang, Z.Y.[Zheng-Yuan], Yu, D.[Dong],
Improving Weakly Supervised Visual Grounding by Contrastive Knowledge Distillation,
CVPR21(14085-14095)
IEEE DOI 2111
Training, Visualization, Technological innovation, Costs, Grounding, Detectors BibRef

Huang, B.B.[Bin-Bin], Lian, D.Z.[Dong-Ze], Luo, W.X.[Wei-Xin], Gao, S.H.[Sheng-Hua],
Look Before You Leap: Learning Landmark Features for One-Stage Visual Grounding,
CVPR21(16883-16892)
IEEE DOI 2111
Visualization, Grounding, Convolution, Heuristic algorithms, Computational modeling, Linguistics BibRef

Zhou, H.[Hao], Zhang, C.Y.[Chong-Yang], Luo, Y.[Yan], Chen, Y.J.[Yan-Jun], Hu, C.P.[Chuan-Ping],
Embracing Uncertainty: Decoupling and De-bias for Robust Temporal Grounding,
CVPR21(8441-8450)
IEEE DOI 2111
Performance evaluation, Uncertainty, Grounding, Annotations, Feature extraction, Robustness BibRef

Khan, A.U.[Aisha Urooj], Kuehne, H.[Hilde], Duarte, K.[Kevin], Gan, C.[Chuang], Lobo, N.[Niels], Shah, M.[Mubarak],
Found a Reason for me? Weakly-supervised Grounded Visual Question Answering using Capsules,
CVPR21(8461-8470)
IEEE DOI 2111
Training, Visualization, Vocabulary, Grounding, Focusing, Detectors, Knowledge discovery BibRef

Zhang, S.Y.[Sheng-Yu], Jiang, T.[Tan], Wang, T.[Tan], Kuang, K.[Kun], Zhao, Z.[Zhou], Zhu, J.[Jianke], Yu, J.[Jin], Yang, H.X.[Hong-Xia], Wu, F.[Fei],
DeVLBert: Out-of-distribution Visio-Linguistic Pretraining with Causality,
CiV21(1744-1747)
IEEE DOI 2109
Visualization, Correlation, Image retrieval, Knowledge discovery BibRef

Nguyen, A.T.[Andre T.], Richards, L.E.[Luke E.], Kebe, G.Y.[Gaoussou Youssouf], Raff, E.[Edward], Darvish, K.[Kasra], Ferraro, F.[Frank], Matuszek, C.[Cynthia],
Practical Cross-modal Manifold Alignment for Robotic Grounded Language Learning,
MULA21(1613-1622)
IEEE DOI 2109
Manifolds, Measurement, Learning systems, Natural languages, Robot sensing systems BibRef

Shrestha, A.[Amar], Pugdeethosapol, K.[Krittaphat], Fang, H.[Haowen], Qiu, Q.[Qinru],
MAGNet: Multi-Region Attention-Assisted Grounding of Natural Language Queries at Phrase Level,
ICPR21(8275-8282)
IEEE DOI 2105
Visualization, Grounding, Fuses, Magnetic resonance imaging, Natural languages, Games, Pattern recognition BibRef

Zhang, Z., Zhao, Z., Zhao, Y., Wang, Q., Liu, H., Gao, L.,
Where Does It Exist: Spatio-Temporal Video Grounding for Multi-Form Sentences,
CVPR20(10665-10674)
IEEE DOI 2008
Grounding, Task analysis, Visualization, Cognition, Feature extraction, Natural languages BibRef

Sadhu, A.[Arka], Chen, K.[Kan], Nevatia, R.[Ram],
Video Object Grounding Using Semantic Roles in Language Description,
CVPR20(10414-10424)
IEEE DOI 2008
grounds objects in videos referred to in natural language descriptions. Semantics, Encoding, Proposals, Grounding, Visualization, Task analysis, Feature extraction BibRef

Ma, C.Y.[Chih-Yao], Kalantidis, Y.[Yannis], AlRegib, G.[Ghassan], Vajda, P.[Peter], Rohrbach, M.[Marcus], Kira, Z.[Zsolt],
Learning to Generate Grounded Visual Captions Without Localization Supervision,
ECCV20(XVIII:353-370).
Springer DOI 2012
BibRef

Gouthaman, K.V., Mittal, A.[Anurag],
Reducing Language Biases in Visual Question Answering with Visually-grounded Question Encoder,
ECCV20(XIII:18-34).
Springer DOI 2011
BibRef

Zeng, R.H.[Run-Hao], Xu, H.M.[Hao-Ming], Huang, W.B.[Wen-Bing], Chen, P.H.[Pei-Hao], Tan, M.K.[Ming-Kui], Gan, C.[Chuang],
Dense Regression Network for Video Grounding,
CVPR20(10284-10293)
IEEE DOI 2008
Grounding, Training, Task analysis, Proposals, Semantics, Magnetic heads, Feature extraction BibRef

Gupta, T.[Tanmay], Vahdat, A.[Arash], Chechik, G.[Gal], Yang, X.D.[Xiao-Dong], Kautz, J.[Jan], Hoiem, D.[Derek],
Contrastive Learning for Weakly Supervised Phrase Grounding,
ECCV20(III:752-768).
Springer DOI 2012
BibRef

Tan, H.L., Leong, M.C., Xu, Q., Li, L., Fang, F., Cheng, Y., Gauthier, N., Sun, Y., Lim, J.H.,
Task-Oriented Multi-Modal Question Answering For Collaborative Applications,
ICIP20(1426-1430)
IEEE DOI 2011
Task analysis, Collaboration, Grounding, Visualization, Cognition, Training, Machine learning, question answering, corpora BibRef

Yang, S.[Sibei], Li, G.B.[Guan-Bin], Yu, Y.Z.[Yi-Zhou],
Propagating Over Phrase Relations for One-stage Visual Grounding,
ECCV20(XIX:589-605).
Springer DOI 2011
BibRef

Xiao, J.B.[Jun-Bin], Shang, X.[Xindi], Yang, X.[Xun], Tang, S.[Sheng], Chua, T.S.[Tat-Seng],
Visual Relation Grounding in Videos,
ECCV20(VI:447-464).
Springer DOI 2011
Code, Relations.
WWW Link. BibRef

Mun, J., Cho, M., Han, B.,
Local-Global Video-Text Interactions for Temporal Grounding,
CVPR20(10807-10816)
IEEE DOI 2008
Semantics, Feature extraction, Grounding, Visualization, Proposals, Task analysis, Context modeling BibRef

Wu, C., Lin, Z., Cohen, S., Bui, T., Maji, S.,
PhraseCut: Language-Based Image Segmentation in the Wild,
CVPR20(10213-10222)
IEEE DOI 2008
Visualization, Grounding, Image segmentation, Task analysis, Genomics, Bioinformatics, Natural languages BibRef

Selvaraju, R.R., Tendulkar, P., Parikh, D., Horvitz, E., Tulio Ribeiro, M., Nushi, B., Kamar, E.,
SQuINTing at VQA Models: Introspecting VQA Models With Sub-Questions,
CVPR20(10000-10008)
IEEE DOI 2008
Cognition, Task analysis, Visualization, Image color analysis, Grounding, Text recognition, Computational modeling BibRef

Chen, L.[Lei], Zhai, M.Y.[Meng-Yao], He, J.W.[Jia-Wei], Mori, G.[Greg],
Object Grounding via Iterative Context Reasoning,
MDALC19(1407-1415)
IEEE DOI 2004
Localize set of queries in the image. image classification, image representation, image segmentation, inference mechanisms, iterative methods, query processing, weakly supervised learning BibRef

Sinha, A.[Abhishek], Akilesh, B., Sarkar, M.[Mausoom], Krishnamurthy, B.[Balaji],
Attention Based Natural Language Grounding by Navigating Virtual Environment,
WACV19(236-244)
IEEE DOI 1904
learning (artificial intelligence), natural language processing, virtual reality, Grounding BibRef

Selvaraju, R.R., Lee, S., Shen, Y., Jin, H., Ghosh, S., Heck, L., Batra, D., Parikh, D.,
Taking a HINT: Leveraging Explanations to Make Vision and Language Models More Grounded,
ICCV19(2591-2600)
IEEE DOI 2004
gradient methods, image retrieval, natural language processing, neural nets, question answering (information retrieval), HINT, Correlation BibRef

Zhang, Y., Niebles, J.C., Soto, A.,
Interpretable Visual Question Answering by Visual Grounding From Attention Supervision Mining,
WACV19(349-357)
IEEE DOI 1904
data mining, data visualisation, image representation, learning (artificial intelligence), Computer architecture BibRef

Shi, J.[Jing], Xu, J.[Jia], Gong, B.Q.[Bo-Qing], Xu, C.L.[Chen-Liang],
Not All Frames Are Equal: Weakly-Supervised Video Grounding With Contextual Similarity and Visual Clustering Losses,
CVPR19(10436-10444).
IEEE DOI 2002
BibRef

Datta, S.[Samyak], Sikka, K.[Karan], Roy, A.[Anirban], Ahuja, K.[Karuna], Parikh, D.[Devi], Divakaran, A.[Ajay],
Align2Ground: Weakly Supervised Phrase Grounding Guided by Image-Caption Alignment,
ICCV19(2601-2610)
IEEE DOI 2004
image representation, image retrieval, learning (artificial intelligence), Image coding BibRef

Fang, Z.Y.[Zhi-Yuan], Kong, S.[Shu], Fowlkes, C.C.[Charless C.], Yang, Y.Z.[Ye-Zhou],
Modularized Textual Grounding for Counterfactual Resilience,
CVPR19(6371-6381).
IEEE DOI 2002
BibRef

Zhuang, B., Wu, Q., Shen, C., Reid, I.D., van den Hengel, A.J.[Anton J.],
Parallel Attention: A Unified Framework for Visual Object Discovery Through Dialogs and Queries,
CVPR18(4252-4261)
IEEE DOI 1812
Visualization, Task analysis, Cognition, Proposals, Grounding, Correlation BibRef

Yang, Z.Y.[Zheng-Yuan], Chen, T.L.[Tian-Lang], Wang, L.W.[Li-Wei], Luo, J.B.[Jie-Bo],
Improving One-Stage Visual Grounding by Recursive Sub-query Construction,
ECCV20(XIV:387-404).
Springer DOI 2011
Code, Query.
WWW Link. BibRef

Liu, D.Q.[Da-Qing], Zhang, H.W.[Han-Wang], Zha, Z.J.[Zheng-Jun], Wu, F.[Feng],
Learning to Assemble Neural Module Tree Networks for Visual Grounding,
ICCV19(4672-4681)
IEEE DOI 2004
approximation theory, data visualisation, grammars, learning (artificial intelligence), Training BibRef

Sadhu, A., Chen, K., Nevatia, R.,
Zero-Shot Grounding of Objects From Natural Language Queries,
ICCV19(4693-4702)
IEEE DOI 2004
image classification, learning (artificial intelligence), Visualization, natural language processing, object detection, query processing. BibRef

Yang, Z.Y.[Zheng-Yuan], Gong, B.Q.[Bo-Qing], Wang, L.W.[Li-Wei], Huang, W.B.[Wen-Bing], Yu, D.[Dong], Luo, J.B.[Jie-Bo],
A Fast and Accurate One-Stage Approach to Visual Grounding,
ICCV19(4682-4692)
IEEE DOI 2004
document image processing, feature extraction, image fusion, image segmentation, natural language processing, Encoding BibRef

Rohrbach, A.[Anna], Rohrbach, M.[Marcus], Tang, S.[Siyu], Oh, S.J.[Seong Joon], Schiele, B.[Bernt],
Generating Descriptions with Grounded and Co-referenced People,
CVPR17(4196-4206)
IEEE DOI 1711
Movie description. Grounding, Head, Joining processes, Motion pictures, Videos, Visualization BibRef

Zhu, Y., Kiros, R., Zemel, R., Salakhutdinov, R., Urtasun, R., Torralba, A.B., Fidler, S.,
Aligning Books and Movies: Towards Story-Like Visual Explanations by Watching Movies and Reading Books,
ICCV15(19-27)
IEEE DOI 1602
Grounding BibRef

Chapter on Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection continues in
Referring Expression Comprehension .


Last update:Apr 10, 2024 at 09:54:40