Tung, F.[Frederick],
Mori, G.[Greg],
Deep Neural Network Compression by In-Parallel Pruning-Quantization,
PAMI(42), No. 3, March 2020, pp. 568-579.
IEEE DOI
2002
BibRef
Earlier:
CLIP-Q: Deep Network Compression Learning by In-parallel
Pruning-Quantization,
CVPR18(7873-7882)
IEEE DOI
1812
Quantization (signal), Image coding, Neural networks,
Visualization, Training, Convolution, Network architecture,
Bayesian optimization.
Training, Task analysis, Optimization
BibRef
Kwon, G.[Gihyun],
Ye, J.C.[Jong Chul],
One-Shot Adaptation of GAN in Just One CLIP,
PAMI(45), No. 10, October 2023, pp. 12179-12191.
IEEE DOI
2310
BibRef
Han, B.H.[Bai-Hong],
Jiang, X.Y.[Xiao-Yan],
Fang, Z.J.[Zhi-Jun],
Fujita, H.[Hamido],
Gao, Y.B.[Yong-Bin],
F-SCP: An automatic prompt generation method for specific classes
based on visual language pre-training models,
PR(147), 2024, pp. 110096.
Elsevier DOI
2312
Multi-modal, Vision language model, Prompt tuning,
Large-scale pre-training model
BibRef
Liu, B.[Bo],
Lu, D.[Donghuan],
Wei, D.[Dong],
Wu, X.[Xian],
Wang, Y.[Yan],
Zhang, Y.[Yu],
Zheng, Y.F.[Ye-Feng],
Improving Medical Vision-Language Contrastive Pretraining With
Semantics-Aware Triage,
MedImg(42), No. 12, December 2023, pp. 3579-3589.
IEEE DOI
2312
BibRef
Gao, P.[Peng],
Geng, S.J.[Shi-Jie],
Zhang, R.R.[Ren-Rui],
Ma, T.[Teli],
Fang, R.Y.[Rong-Yao],
Zhang, Y.F.[Yong-Feng],
Li, H.S.[Hong-Sheng],
Qiao, Y.[Yu],
CLIP-Adapter: Better Vision-Language Models with Feature Adapters,
IJCV(132), No. 2, February 2024, pp. 581-595.
Springer DOI
2402
BibRef
Liu, Y.H.[Yi-Hao],
He, J.W.[Jing-Wen],
Gu, J.J.[Jin-Jin],
Kong, X.T.[Xiang-Tao],
Qiao, Y.[Yu],
Dong, C.[Chao],
DegAE: A New Pretraining Paradigm for Low-Level Vision,
CVPR23(23292-23303)
IEEE DOI
2309
BibRef
Dong, S.[Sijun],
Wang, L.[Libo],
Du, B.[Bo],
Meng, X.L.[Xiao-Liang],
ChangeCLIP: Remote sensing change detection with multimodal
vision-language representation learning,
PandRS(208), 2024, pp. 53-69.
Elsevier DOI Code:
WWW Link.
2402
Change detection, Vision-language representation learning,
Multimodal artificial intelligence, Remote sensing
BibRef
Peng, F.[Fang],
Yang, X.S.[Xiao-Shan],
Xiao, L.H.[Lin-Hui],
Wang, Y.[Yaowei],
Xu, C.S.[Chang-Sheng],
SgVA-CLIP: Semantic-Guided Visual Adapting of Vision-Language Models
for Few-Shot Image Classification,
MultMed(26), 2024, pp. 3469-3480.
IEEE DOI
2402
Visualization, Adaptation models, Prototypes, Image classification,
Learning systems, Task analysis, Feature extraction, Few-shot,
vision-language models
BibRef
Guo, Y.F.[Yu-Fei],
Chen, Y.P.[Yuan-Pei],
Ma, Z.[Zhe],
NeuroCLIP: Neuromorphic Data Understanding by CLIP and SNN,
SPLetters(31), 2024, pp. 246-250.
IEEE DOI
2402
Neuromorphics, Adaptation models, Visualization, Training,
Neural networks, Membrane potentials, CLIP, neuromorphic data,
spiking neural network
BibRef
Xing, Y.H.[Ying-Hui],
Wu, Q.[Qirui],
Cheng, D.[De],
Zhang, S.Z.[Shi-Zhou],
Liang, G.Q.[Guo-Qiang],
Wang, P.[Peng],
Zhang, Y.N.[Yan-Ning],
Dual Modality Prompt Tuning for Vision-Language Pre-Trained Model,
MultMed(26), 2024, pp. 2056-2068.
IEEE DOI
2402
Visualization, Tuning, Task analysis, Adaptation models,
Computational modeling, Feature extraction, Training,
vision-language model
BibRef
Xiao, L.H.[Lin-Hui],
Yang, X.S.[Xiao-Shan],
Peng, F.[Fang],
Yan, M.[Ming],
Wang, Y.[Yaowei],
Xu, C.S.[Chang-Sheng],
CLIP-VG: Self-Paced Curriculum Adapting of CLIP for Visual Grounding,
MultMed(26), 2024, pp. 4334-4347.
IEEE DOI
2403
Grounding, Reliability, Adaptation models, Task analysis,
Visualization, Data models, Annotations, Visual grounding,
and vision-language models
BibRef
Zhang, K.[Ke],
Yang, Y.[Yan],
Yu, J.[Jun],
Jiang, H.[Hanliang],
Fan, J.P.[Jian-Ping],
Huang, Q.M.[Qing-Ming],
Han, W.D.[Wei-Dong],
Multi-Task Paired Masking With Alignment Modeling for Medical
Vision-Language Pre-Training,
MultMed(26), 2024, pp. 4706-4721.
IEEE DOI
2403
Task analysis, Image reconstruction, Visualization,
Medical diagnostic imaging, Transformers, Semantics, Multitasking,
cross-modal alignment
BibRef
Zara, G.[Giacomo],
Turrisi-da Costa, V.G.[Victor Guilherme],
Roy, S.[Subhankar],
Rota, P.[Paolo],
Ricci, E.[Elisa],
Simplifying open-set video domain adaptation with contrastive
learning,
CVIU(241), 2024, pp. 103953.
Elsevier DOI
2403
BibRef
Earlier: A1, A3, A4, A5, Only:
AutoLabel: CLIP-based framework for Open-Set Video Domain Adaptation,
CVPR23(11504-11513)
IEEE DOI
2309
Open-set video domain adaptation, Video Action Recognition, Contrastive learning
BibRef
Wang, X.H.[Xiao-Han],
Wang, W.G.[Wen-Guan],
Shao, J.Y.[Jia-Yi],
Yang, Y.[Yi],
Learning to Follow and Generate Instructions for Language-Capable
Navigation,
PAMI(46), No. 5, May 2024, pp. 3334-3350.
IEEE DOI
2404
Navigation, Task analysis, Robot kinematics, Natural languages,
Behavioral sciences, Training, Visualization, Multi-task learning,
vision-language pre-training
BibRef
Fang, H.[Han],
Yang, Z.F.[Zhi-Fei],
Wei, Y.H.[Yu-Han],
Zang, X.H.[Xiang-Hao],
Ban, C.[Chao],
Feng, Z.[Zerun],
He, Z.J.[Zhong-Jiang],
Li, Y.X.[Yong-Xiang],
Sun, H.[Hao],
Alignment and Generation Adapter for Efficient Video-Text
Understanding,
CLVL23(2783-2789)
IEEE DOI
2401
BibRef
Zhu, B.[Beier],
Niu, Y.[Yulei],
Han, Y.C.[Yu-Cheng],
Wu, Y.[Yue],
Zhang, H.W.[Han-Wang],
Prompt-aligned Gradient for Prompt Tuning,
ICCV23(15613-15623)
IEEE DOI
2401
BibRef
Yuan, H.J.[Hang-Jie],
Zhang, S.W.[Shi-Wei],
Wang, X.[Xiang],
Albanie, S.[Samuel],
Pan, Y.[Yining],
Feng, T.[Tao],
Jiang, J.W.[Jian-Wen],
Ni, D.[Dong],
Zhang, Y.[Yingya],
Zhao, D.L.[De-Li],
RLIPv2: Fast Scaling of Relational Language-Image Pre-training,
ICCV23(21592-21604)
IEEE DOI Code:
WWW Link.
2401
BibRef
Wang, Z.[Ziyi],
Yu, X.[Xumin],
Rao, Y.M.[Yong-Ming],
Zhou, J.[Jie],
Lu, J.W.[Ji-Wen],
Take-A-Photo: 3D-to-2D Generative Pre-training of Point Cloud Models,
ICCV23(5617-5627)
IEEE DOI Code:
WWW Link.
2401
BibRef
Li, M.[Ming],
Wu, J.[Jie],
Wang, X.[Xionghui],
Chen, C.[Chen],
Qin, J.[Jie],
Xiao, X.F.[Xue-Feng],
Wang, R.[Rui],
Zheng, M.[Min],
Pan, X.[Xin],
AlignDet: Aligning Pre-training and Fine-tuning in Object Detection,
ICCV23(6843-6853)
IEEE DOI
2401
BibRef
Lee, S.[Suhyeon],
Chung, H.J.[Hyung-Jin],
Park, M.Y.[Min-Young],
Park, J.[Jonghyuk],
Ryu, W.S.[Wi-Sun],
Ye, J.C.[Jong Chul],
Improving 3D Imaging with Pre-Trained Perpendicular 2D Diffusion
Models,
ICCV23(10676-10686)
IEEE DOI Code:
WWW Link.
2401
BibRef
Ye, Q.H.[Qing-Hao],
Xu, G.H.[Guo-Hai],
Yan, M.[Ming],
Xu, H.Y.[Hai-Yang],
Qian, Q.[Qi],
Zhang, J.[Ji],
Huang, F.[Fei],
HiTeA: Hierarchical Temporal-Aware Video-Language Pre-training,
ICCV23(15359-15370)
IEEE DOI
2401
BibRef
Wu, C.Y.[Chao-Yi],
Zhang, X.M.[Xiao-Man],
Zhang, Y.[Ya],
Wang, Y.F.[Yan-Feng],
Xie, W.[Weidi],
MedKLIP: Medical Knowledge Enhanced Language-Image Pre-Training for
X-ray Diagnosis,
ICCV23(21315-21326)
IEEE DOI
2401
BibRef
Yang, Q.S.[Qiu-Shi],
Li, W.Y.[Wu-Yang],
Li, B.[Baopu],
Yuan, Y.X.[Yi-Xuan],
MRM: Masked Relation Modeling for Medical Image Pre-Training with
Genetics,
ICCV23(21395-21405)
IEEE DOI Code:
WWW Link.
2401
BibRef
Ma, W.X.[Wen-Xuan],
Li, S.[Shuang],
Zhang, J.[JinMing],
Liu, C.H.[Chi Harold],
Kang, J.X.[Jing-Xuan],
Wang, Y.L.[Yu-Lin],
Huang, G.[Gao],
Borrowing Knowledge From Pre-trained Language Model:
A New Data-efficient Visual Learning Paradigm,
ICCV23(18740-18751)
IEEE DOI Code:
WWW Link.
2401
BibRef
Ganugula, P.[Prajwal],
Kumar, Y.S.S.S.S.[Y.S.S.S. Santosh],
Reddy, N.K.S.[N.K. Sagar],
Chellingi, P.[Prabhath],
Thakur, A.[Avinash],
Kasera, N.[Neeraj],
Anand, C.S.[C. Shyam],
MOSAIC: Multi-Object Segmented Arbitrary Stylization Using CLIP,
NIVT23(892-903)
IEEE DOI
2401
BibRef
Luo, Z.Y.[Zi-Yang],
Zhao, P.[Pu],
Xu, C.[Can],
Geng, X.[Xiubo],
Shen, T.[Tao],
Tao, C.Y.[Chong-Yang],
Ma, J.[Jing],
Lin, Q.W.[Qing-Wei],
Jiang, D.X.[Da-Xin],
LexLIP: Lexicon-Bottlenecked Language-Image Pre-Training for
Large-Scale Image-Text Sparse Retrieval,
ICCV23(11172-11183)
IEEE DOI
2401
BibRef
Zhai, X.H.[Xiao-Hua],
Mustafa, B.[Basil],
Kolesnikov, A.[Alexander],
Beyer, L.[Lucas],
Sigmoid Loss for Language Image Pre-Training,
ICCV23(11941-11952)
IEEE DOI
2401
BibRef
Shtedritski, A.[Aleksandar],
Rupprecht, C.[Christian],
Vedaldi, A.[Andrea],
What does CLIP know about a red circle? Visual prompt engineering for
VLMs,
ICCV23(11953-11963)
IEEE DOI
2401
BibRef
Zhu, Z.[Ziyu],
Ma, X.J.[Xiao-Jian],
Chen, Y.X.[Yi-Xin],
Deng, Z.D.[Zhi-Dong],
Huang, S.Y.[Si-Yuan],
Li, Q.[Qing],
3D-VisTA: Pre-trained Transformer for 3D Vision and Text Alignment,
ICCV23(2899-2909)
IEEE DOI
2401
BibRef
Yang, K.C.[Kai-Cheng],
Deng, J.K.[Jian-Kang],
An, X.[Xiang],
Li, J.W.[Jia-Wei],
Feng, Z.[Ziyong],
Guo, J.[Jia],
Yang, J.[Jing],
Liu, T.L.[Tong-Liang],
ALIP: Adaptive Language-Image Pre-training with Synthetic Caption,
ICCV23(2910-2919)
IEEE DOI Code:
WWW Link.
2401
BibRef
Yang, Y.F.[Yi-Fan],
Huang, W.Q.[Wei-Quan],
Wei, Y.X.[Yi-Xuan],
Peng, H.[Houwen],
Jiang, X.Y.[Xin-Yang],
Jiang, H.Q.[Hui-Qiang],
Wei, F.[Fangyun],
Wang, Y.[Yin],
Hu, H.[Han],
Qiu, L.[Lili],
Yang, Y.Q.[Yu-Qing],
Attentive Mask CLIP,
ICCV23(2759-2769)
IEEE DOI Code:
WWW Link.
2401
BibRef
Vinker, Y.[Yael],
Alaluf, Y.[Yuval],
Cohen-Or, D.[Daniel],
Shamir, A.[Ariel],
CLIPascene: Scene Sketching with Different Types and Levels of
Abstraction,
ICCV23(4123-4133)
IEEE DOI Code:
WWW Link.
2401
BibRef
Wei, Y.X.[Yi-Xuan],
Hu, H.[Han],
Xie, Z.[Zhenda],
Liu, Z.[Ze],
Zhang, Z.[Zheng],
Cao, Y.[Yue],
Bao, J.M.[Jian-Min],
Chen, D.[Dong],
Guo, B.[Baining],
Improving CLIP Fine-tuning Performance,
ICCV23(5416-5426)
IEEE DOI Code:
WWW Link.
2401
BibRef
Maniparambil, M.[Mayug],
Vorster, C.[Chris],
Molloy, D.[Derek],
Murphy, N.[Noel],
McGuinness, K.[Kevin],
O'Connor, N.E.[Noel E.],
Enhancing CLIP with GPT-4: Harnessing Visual Descriptions as Prompts,
MMFM23(262-271)
IEEE DOI
2401
BibRef
Huang, T.Y.[Tian-Yu],
Dong, B.[Bowen],
Yang, Y.H.[Yun-Han],
Huang, X.S.[Xiao-Shui],
Lau, R.W.H.[Rynson W.H.],
Ouyang, W.L.[Wan-Li],
Zuo, W.M.[Wang-Meng],
CLIP2Point: Transfer CLIP to Point Cloud Classification with
Image-Depth Pre-Training,
ICCV23(22100-22110)
IEEE DOI Code:
WWW Link.
2401
BibRef
Wu, K.[Kan],
Peng, H.[Houwen],
Zhou, Z.H.[Zheng-Hong],
Xiao, B.[Bin],
Liu, M.[Mengchen],
Yuan, L.[Lu],
Xuan, H.[Hong],
Valenzuela, M.[Michael],
Chen, X.S.[Xi Stephen],
Wang, X.G.[Xing-Gang],
Chao, H.Y.[Hong-Yang],
Hu, H.[Han],
TinyCLIP: CLIP Distillation via Affinity Mimicking and Weight
Inheritance,
ICCV23(21913-21923)
IEEE DOI
2401
BibRef
Deng, X.[Xinchi],
Shi, H.[Han],
Huang, R.[Runhui],
Li, C.L.[Chang-Lin],
Xu, H.[Hang],
Han, J.H.[Jian-Hua],
Kwok, J.[James],
Zhao, S.[Shen],
Zhang, W.[Wei],
Liang, X.D.[Xiao-Dan],
GrowCLIP: Data-aware Automatic Model Growing for Large-scale
Contrastive Language-Image Pre-training,
ICCV23(22121-22132)
IEEE DOI
2401
BibRef
Ranasinghe, K.[Kanchana],
McKinzie, B.[Brandon],
Ravi, S.[Sachin],
Yang, Y.F.[Yin-Fei],
Toshev, A.[Alexander],
Shlens, J.[Jonathon],
Perceptual Grouping in Contrastive Vision-Language Models,
ICCV23(5548-5561)
IEEE DOI
2401
BibRef
Shao, B.[Bin],
Liu, J.Z.[Jian-Zhuang],
Pei, R.[Renjing],
Xu, S.[Songcen],
Dai, P.[Peng],
Lu, J.W.[Ju-Wei],
Li, W.[Weimian],
Yan, Y.[Youliang],
HiVLP: Hierarchical Interactive Video-Language Pre-Training,
ICCV23(13710-13720)
IEEE DOI
2401
BibRef
Ali, M.[Muhammad],
Khan, S.[Salman],
CLIP-Decoder: ZeroShot Multilabel Classification using Multimodal
CLIP Aligned Representations,
VLAR23(4677-4681)
IEEE DOI
2401
BibRef
Singha, M.[Mainak],
Pal, H.[Harsh],
Jha, A.[Ankit],
Banerjee, B.[Biplab],
AD-CLIP: Adapting Domains in Prompt Space Using CLIP,
OutDistri23(4357-4366)
IEEE DOI
2401
BibRef
Zhang, J.[Junbo],
Dong, R.[Runpei],
Ma, K.[Kaisheng],
CLIP-FO3D:
Learning Free Open-world 3D Scene Representations from 2D Dense CLIP,
OpenSUN3D(2040-2051)
IEEE DOI
2401
BibRef
Auty, D.[Dylan],
Mikolajczyk, K.[Krystian],
Learning to Prompt CLIP for Monocular Depth Estimation:
Exploring the Limits of Human Language,
OpenSUN3D(2031-2049)
IEEE DOI Code:
WWW Link.
2401
BibRef
Hegde, D.[Deepti],
Valanarasu, J.M.J.[Jeya Maria Jose],
Patel, V.M.[Vishal M.],
CLIP goes 3D: Leveraging Prompt Tuning for Language Grounded 3D
Recognition,
OpenSUN3D(2020-2030)
IEEE DOI Code:
WWW Link.
2401
BibRef
Xu, X.[Xin],
Xiong, T.Y.[Tian-Yi],
Ding, Z.[Zheng],
Tu, Z.W.[Zhuo-Wen],
MasQCLIP for Open-Vocabulary Universal Image Segmentation,
ICCV23(887-898)
IEEE DOI Code:
WWW Link.
2401
BibRef
Wang, H.L.[Hua-Liang],
Li, Y.[Yi],
Yao, H.[Huifeng],
Li, X.M.[Xiao-Meng],
CLIPN for Zero-Shot OOD Detection: Teaching CLIP to Say No,
ICCV23(1802-1812)
IEEE DOI Code:
WWW Link.
2401
BibRef
Zhu, X.Y.[Xiang-Yang],
Zhang, R.[Renrui],
He, B.[Bowei],
Zhou, A.[Aojun],
Wang, D.[Dong],
Zhao, B.[Bin],
Gao, P.[Peng],
Not All Features Matter:
Enhancing Few-shot CLIP with Adaptive Prior Refinement,
ICCV23(2605-2615)
IEEE DOI Code:
WWW Link.
2401
BibRef
Paiss, R.[Roni],
Ephrat, A.[Ariel],
Tov, O.[Omer],
Zada, S.[Shiran],
Mosseri, I.[Inbar],
Irani, M.[Michal],
Dekel, T.[Tali],
Teaching CLIP to Count to Ten,
ICCV23(3147-3157)
IEEE DOI
2401
BibRef
Zhu, X.Y.[Xiang-Yang],
Zhang, R.R.[Ren-Rui],
He, B.[Bowei],
Guo, Z.[Ziyu],
Zeng, Z.[Ziyao],
Qin, Z.[Zipeng],
Zhang, S.H.[Shang-Hang],
Gao, P.[Peng],
PointCLIP V2: Prompting CLIP and GPT for Powerful 3D Open-world
Learning,
ICCV23(2639-2650)
IEEE DOI Code:
WWW Link.
2401
BibRef
Yuan, M.[Min],
Lv, N.N.[Ning-Ning],
Xie, Y.F.[Yu-Fei],
Lu, F.X.[Fu-Xiang],
Zhan, K.[Kun],
CLIP-FG: Selecting Discriminative Image Patches by Contrastive
Language-Image Pre-Training for Fine-Grained Image Classification,
ICIP23(560-564)
IEEE DOI
2312
BibRef
Zeng, Z.[Ziyun],
Ge, Y.Y.[Yu-Ying],
Liu, X.H.[Xi-Hui],
Chen, B.[Bin],
Luo, P.[Ping],
Xia, S.T.[Shu-Tao],
Ge, Y.X.[Yi-Xiao],
Learning Transferable Spatiotemporal Representations from Natural
Script Knowledge,
CVPR23(23079-23089)
IEEE DOI
2309
WWW Link.
BibRef
Wang, J.P.[Jin-Peng],
Ge, Y.X.[Yi-Xiao],
Yan, R.[Rui],
Ge, Y.Y.[Yu-Ying],
Lin, K.Q.[Kevin Qinghong],
Tsutsui, S.[Satoshi],
Lin, X.D.[Xu-Dong],
Cai, G.[Guanyu],
Wu, J.P.[Jian-Ping],
Shan, Y.[Ying],
Qie, X.[Xiaohu],
Shou, M.Z.[Mike Zheng],
All in One: Exploring Unified Video-Language Pre-Training,
CVPR23(6598-6608)
IEEE DOI
2309
BibRef
Ramrakhya, R.[Ram],
Batra, D.[Dhruv],
Wijmans, E.[Erik],
Das, A.[Abhishek],
PIRLNav: Pretraining with Imitation and RL Finetuning for OBJECTNAV,
CVPR23(17896-17906)
IEEE DOI
2309
BibRef
Lin, X.D.[Xu-Dong],
Tiwari, S.[Simran],
Huang, S.Y.[Shi-Yuan],
Li, M.[Manling],
Shou, M.Z.[Mike Zheng],
Ji, H.[Heng],
Chang, S.F.[Shih-Fu],
Towards Fast Adaptation of Pretrained Contrastive Models for
Multi-channel Video-Language Retrieval,
CVPR23(14846-14855)
IEEE DOI
2309
BibRef
Wang, H.C.[Hao-Chen],
Du, X.D.[Xiao-Dan],
Li, J.H.[Jia-Hao],
Yeh, R.A.[Raymond A.],
Shakhnarovich, G.[Greg],
Score Jacobian Chaining: Lifting Pretrained 2D Diffusion Models for
3D Generation,
CVPR23(12619-12629)
IEEE DOI
2309
BibRef
Jin, L.[Lei],
Luo, G.[Gen],
Zhou, Y.[Yiyi],
Sun, X.S.[Xiao-Shuai],
Jiang, G.[Guannan],
Shu, A.[Annan],
Ji, R.R.[Rong-Rong],
RefCLIP: A Universal Teacher for Weakly Supervised Referring
Expression Comprehension,
CVPR23(01-10)
IEEE DOI
2309
BibRef
Saito, K.[Kuniaki],
Sohn, K.[Kihyuk],
Zhang, X.[Xiang],
Li, C.L.[Chun-Liang],
Lee, C.Y.[Chen-Yu],
Saenko, K.[Kate],
Pfister, T.[Tomas],
Prefix Conditioning Unifies Language and Label Supervision,
CVPR23(2861-2870)
IEEE DOI
2309
BibRef
Park, J.[Jaeyoo],
Han, B.H.[Bo-Hyung],
Multi-Modal Representation Learning with Text-Driven Soft Masks,
CVPR23(2798-2807)
IEEE DOI
2309
BibRef
Jin, Z.[Zhao],
Hayat, M.[Munawar],
Yang, Y.W.[Yu-Wei],
Guo, Y.L.[Yu-Lan],
Lei, Y.J.[Yig-Jie],
Context-aware Alignment and Mutual Masking for 3D-Language
Pre-training,
CVPR23(10984-10994)
IEEE DOI
2309
BibRef
Guo, Z.X.[Zi-Xian],
Dong, B.[Bowen],
Ji, Z.L.[Zhi-Long],
Bai, J.F.[Jin-Feng],
Guo, Y.[Yiwen],
Zuo, W.M.[Wang-Meng],
Texts as Images in Prompt Tuning for Multi-Label Image Recognition,
CVPR23(2808-2817)
IEEE DOI
2309
WWW Link.
BibRef
Cherti, M.[Mehdi],
Beaumont, R.[Romain],
Wightman, R.[Ross],
Wortsman, M.[Mitchell],
Ilharco, G.[Gabriel],
Gordon, C.[Cade],
Schuhmann, C.[Christoph],
Schmidt, L.[Ludwig],
Jitsev, J.[Jenia],
Reproducible Scaling Laws for Contrastive Language-Image Learning,
CVPR23(2818-2829)
IEEE DOI
2309
BibRef
Lei, J.[Jie],
Li, L.J.[Lin-Jie],
Zhou, L.[Luowei],
Gan, Z.[Zhe],
Berg, T.L.[Tamara L.],
Bansal, M.[Mohit],
Liu, J.J.[Jing-Jing],
Less is More:
CLIPBERT for Video-and-Language Learning via Sparse Sampling,
CVPR21(7327-7337)
IEEE DOI
2111
Training, Computational modeling, Feature extraction, Knowledge discovery,
Distance measurement
BibRef
Zhou, J.H.[Jing-Hao],
Dong, L.[Li],
Gan, Z.[Zhe],
Wang, L.J.[Li-Juan],
Wei, F.[Furu],
Non-Contrastive Learning Meets Language-Image Pre-Training,
CVPR23(11028-11038)
IEEE DOI
2309
BibRef
Hu, Z.[Ziniu],
Iscen, A.[Ahmet],
Sun, C.[Chen],
Wang, Z.[Zirui],
Chang, K.W.[Kai-Wei],
Sun, Y.Z.[Yi-Zhou],
Schmid, C.[Cordelia],
Ross, D.A.[David A.],
Fathi, A.[Alireza],
Reveal: Retrieval-Augmented Visual-Language Pre-Training with
Multi-Source Multimodal Knowledge Memory,
CVPR23(23369-23379)
IEEE DOI
2309
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2309
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2309
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Improving Commonsense in Vision-Language Models via Knowledge Graph
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CVPR23(2634-2645)
IEEE DOI
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CVPR23(2691-2700)
IEEE DOI
2309
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CVPR23(6620-6630)
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2309
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CVPR23(6820-6829)
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2309
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CVPR23(10899-10909)
IEEE DOI
2309
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IEEE DOI
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2309
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IEEE DOI
2309
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CVPR23(19123-19132)
IEEE DOI
2309
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IEEE DOI
2309
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IEEE DOI
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CVPR23(10739-10750)
IEEE DOI
2309
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Vid2Seq: Large-Scale Pretraining of a Visual Language Model for Dense
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IEEE DOI
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IEEE DOI
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Is BERT Blind? Exploring the Effect of Vision-and-Language
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IEEE DOI
2309
BibRef
Liu, M.Y.[Meng-Yin],
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VLPD: Context-Aware Pedestrian Detection via Vision-Language Semantic
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CVPR23(6662-6671)
IEEE DOI
2309
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CVPR23(2776-2786)
IEEE DOI
2309
BibRef
Hyung, J.[Junha],
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CVPR23(12674-12684)
IEEE DOI
2309
BibRef
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Springer DOI
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Springer DOI
2211
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CORA: Adapting CLIP for Open-Vocabulary Detection with Region
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CVPR23(7031-7040)
IEEE DOI
2309
BibRef
Dong, X.Y.[Xiao-Yi],
Bao, J.M.[Jian-Min],
Zheng, Y.[Yinglin],
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Chen, D.D.[Dong-Dong],
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Zhang, W.M.[Wei-Ming],
Yuan, L.[Lu],
Chen, D.[Dong],
Wen, F.[Fang],
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MaskCLIP: Masked Self-Distillation Advances Contrastive
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CVPR23(10995-11005)
IEEE DOI
2309
BibRef
Xie, C.W.[Chen-Wei],
Sun, S.Y.[Si-Yang],
Xiong, X.[Xiong],
Zheng, Y.[Yun],
Zhao, D.L.[De-Li],
Zhou, J.R.[Jing-Ren],
RA-CLIP: Retrieval Augmented Contrastive Language-Image Pre-Training,
CVPR23(19265-19274)
IEEE DOI
2309
BibRef
Chen, P.J.[Pei-Jie],
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Biaz, S.[Saad],
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gScoreCAM: What Objects Is CLIP Looking At?,
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Springer DOI
2307
Analysis of OpenAI's CLIP.
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Wang, R.[Runqi],
Duan, X.Y.[Xiao-Yue],
Kang, G.L.[Guo-Liang],
Liu, J.Z.[Jian-Zhuang],
Lin, S.H.[Shao-Hui],
Xu, S.[Songcen],
Lv, J.[Jinhu],
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AttriCLIP: A Non-Incremental Learner for Incremental Knowledge Learning,
CVPR23(3654-3663)
IEEE DOI
2309
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Rasheed, H.[Hanoona],
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Fine-tuned CLIP Models are Efficient Video Learners,
CVPR23(6545-6554)
IEEE DOI
2309
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Huang, J.J.[Jing-Jia],
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Li, T.H.[Thomas H.],
Revisiting Temporal Modeling for CLIP-Based Image-to-Video Knowledge
Transferring,
CVPR23(6555-6564)
IEEE DOI
2309
BibRef
Yu, W.W.[Wen-Wen],
Liu, Y.L.[Yu-Liang],
Hua, W.[Wei],
Jiang, D.Q.[De-Qiang],
Ren, B.[Bo],
Bai, X.[Xiang],
Turning a CLIP Model into a Scene Text Detector,
CVPR23(6978-6988)
IEEE DOI
2309
BibRef
Tschannen, M.[Michael],
Mustafa, B.[Basil],
Houlsby, N.[Neil],
CLIPPO: Image-and-Language Understanding from Pixels Only,
CVPR23(11006-11017)
IEEE DOI
2309
BibRef
Zhou, Z.Q.[Zi-Qin],
Lei, Y.J.[Yig-Jie],
Zhang, B.[Bowen],
Liu, L.Q.[Ling-Qiao],
Liu, Y.F.[Yi-Fan],
ZegCLIP: Towards Adapting CLIP for Zero-shot Semantic Segmentation,
CVPR23(11175-11185)
IEEE DOI
2309
BibRef
He, W.B.[Wen-Bin],
Jamonnak, S.[Suphanut],
Gou, L.[Liang],
Ren, L.[Liu],
CLIP-S4: Language-Guided Self-Supervised Semantic Segmentation,
CVPR23(11207-11216)
IEEE DOI
2309
BibRef
Huang, Z.X.[Zi-Xuan],
Jampani, V.[Varun],
Thai, A.[Anh],
Li, Y.Z.[Yuan-Zhen],
Stojanov, S.[Stefan],
Rehg, J.M.[James M.],
ShapeClipper: Scalable 3D Shape Learning from Single-View Images via
Geometric and CLIP-Based Consistency,
CVPR23(12912-12922)
IEEE DOI
2309
BibRef
Tao, M.[Ming],
Bao, B.K.[Bing-Kun],
Tang, H.[Hao],
Xu, C.S.[Chang-Sheng],
GALIP: Generative Adversarial CLIPs for Text-to-Image Synthesis,
CVPR23(14214-14223)
IEEE DOI
2309
BibRef
Zeng, Y.[Yihan],
Jiang, C.[Chenhan],
Mao, J.[Jiageng],
Han, J.H.[Jian-Hua],
Ye, C.Q.[Chao-Qiang],
Huang, Q.Q.[Qing-Qiu],
Yeung, D.Y.[Dit-Yan],
Yang, Z.[Zhen],
Liang, X.D.[Xiao-Dan],
Xu, H.[Hang],
CLIP2: Contrastive Language-Image-Point Pretraining from Real-World
Point Cloud Data,
CVPR23(15244-15253)
IEEE DOI
2309
BibRef
Lin, Y.Q.[Yu-Qi],
Chen, M.H.[Ming-Hao],
Wang, W.X.[Wen-Xiao],
Wu, B.[Boxi],
Li, K.[Ke],
Lin, B.B.[Bin-Bin],
Liu, H.F.[Hai-Feng],
He, X.F.[Xiao-Fei],
CLIP is Also an Efficient Segmenter: A Text-Driven Approach for
Weakly Supervised Semantic Segmentation,
CVPR23(15305-15314)
IEEE DOI
2309
BibRef
Sanghi, A.[Aditya],
Fu, R.[Rao],
Liu, V.[Vivian],
Willis, K.D.D.[Karl D.D.],
Shayani, H.[Hooman],
Khasahmadi, A.H.[Amir H.],
Sridhar, S.[Srinath],
Ritchie, D.[Daniel],
CLIP-Sculptor: Zero-Shot Generation of High-Fidelity and Diverse
Shapes from Natural Language,
CVPR23(18339-18348)
IEEE DOI
2309
BibRef
Pei, R.J.[Ren-Jing],
Liu, J.Z.[Jian-Zhuang],
Li, W.[Weimian],
Shao, B.[Bin],
Xu, S.[Songcen],
Dai, P.[Peng],
Lu, J.W.[Ju-Wei],
Yan, Y.[Youliang],
CLIPPING: Distilling CLIP-Based Models with a Student Base for
Video-Language Retrieval,
CVPR23(18983-18992)
IEEE DOI
2309
BibRef
Jeong, J.[Jongheon],
Zou, Y.[Yang],
Kim, T.[Taewan],
Zhang, D.Q.[Dong-Qing],
Ravichandran, A.[Avinash],
Dabeer, O.[Onkar],
WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation,
CVPR23(19606-19616)
IEEE DOI
2309
BibRef
Shamshad, F.[Fahad],
Naseer, M.[Muzammal],
Nandakumar, K.[Karthik],
CLIP2Protect: Protecting Facial Privacy Using Text-Guided Makeup via
Adversarial Latent Search,
CVPR23(20595-20605)
IEEE DOI
2309
BibRef
Chen, Y.H.[Yi-Hao],
Qi, X.[Xianbiao],
Wang, J.A.[Jian-An],
Zhang, L.[Lei],
DisCo-CLIP: A Distributed Contrastive Loss for Memory Efficient CLIP
Training,
CVPR23(22648-22657)
IEEE DOI
2309
BibRef
Wasim, S.T.[Syed Talal],
Naseer, M.[Muzammal],
Khan, S.[Salman],
Khan, F.S.[Fahad Shahbaz],
Shah, M.[Mubarak],
Vita-CLIP: Video and text adaptive CLIP via Multimodal Prompting,
CVPR23(23034-23044)
IEEE DOI
2309
BibRef
Parelli, M.[Maria],
Delitzas, A.[Alexandros],
Hars, N.[Nikolas],
Vlassis, G.[Georgios],
Anagnostidis, S.[Sotirios],
Bachmann, G.[Gregor],
Hofmann, T.[Thomas],
CLIP-Guided Vision-Language Pre-training for Question Answering in 3D
Scenes,
ODRUM23(5607-5612)
IEEE DOI
2309
BibRef
Ning, S.[Shan],
Qiu, L.[Longtian],
Liu, Y.F.[Yong-Fei],
He, X.M.[Xu-Ming],
HOICLIP: Efficient Knowledge Transfer for HOI Detection with
Vision-Language Models,
CVPR23(23507-23517)
IEEE DOI
2309
BibRef
Yao, L.W.[Le-Wei],
Han, J.H.[Jian-Hua],
Liang, X.D.[Xiao-Dan],
Xu, D.[Dan],
Zhang, W.[Wei],
Li, Z.G.[Zhen-Guo],
Xu, H.[Hang],
DetCLIPv2: Scalable Open-Vocabulary Object Detection Pre-training via
Word-Region Alignment,
CVPR23(23497-23506)
IEEE DOI
2309
BibRef
Singha, M.[Mainak],
Jha, A.[Ankit],
Solanki, B.[Bhupendra],
Bose, S.[Shirsha],
Banerjee, B.[Biplab],
APPLeNet: Visual Attention Parameterized Prompt Learning for Few-Shot
Remote Sensing Image Generalization using CLIP,
EarthVision23(2024-2034)
IEEE DOI
2309
BibRef
Zhu, J.[Jun],
Jin, J.[Jiandong],
Yang, Z.[Zihan],
Wu, X.[Xiaohao],
Wang, X.[Xiao],
Learning CLIP Guided Visual-Text Fusion Transformer for Video-based
Pedestrian Attribute Recognition,
NFVLR23(2626-2629)
IEEE DOI
2309
BibRef
Gannamaneni, S.S.[Sujan Sai],
Sadaghiani, A.[Arwin],
Rao, R.P.[Rohil Prakash],
Mock, M.[Michael],
Akila, M.[Maram],
Investigating CLIP Performance for Meta-data Generation in AD
Datasets,
SAIAD23(3840-3850)
IEEE DOI
2309
BibRef
Chen, R.N.[Run-Nan],
Liu, Y.Q.[You-Quan],
Kong, L.D.[Ling-Dong],
Zhu, X.G.[Xin-Ge],
Ma, Y.X.[Yue-Xin],
Li, Y.[Yikang],
Hou, Y.N.[Yue-Nan],
Qiao, Y.[Yu],
Wang, W.P.[Wen-Ping],
CLIP2Scene: Towards Label-efficient 3D Scene Understanding by CLIP,
CVPR23(7020-7030)
IEEE DOI
2309
BibRef
Ni, B.L.[Bo-Lin],
Peng, H.W.[Hou-Wen],
Chen, M.H.[Ming-Hao],
Zhang, S.Y.[Song-Yang],
Meng, G.F.[Gao-Feng],
Fu, J.L.[Jian-Long],
Xiang, S.M.[Shi-Ming],
Ling, H.B.[Hai-Bin],
Expanding Language-Image Pretrained Models for General Video
Recognition,
ECCV22(IV:1-18).
Springer DOI
2211
WWW Link.
BibRef
Zhang, R.[Renrui],
Zhang, W.[Wei],
Fang, R.[Rongyao],
Gao, P.[Peng],
Li, K.C.[Kun-Chang],
Dai, J.F.[Ji-Feng],
Qiao, Y.[Yu],
Li, H.S.[Hong-Sheng],
Tip-Adapter: Training-Free Adaption of CLIP for Few-Shot Classification,
ECCV22(XXXV:493-510).
Springer DOI
2211
BibRef
Yang, J.[Jinyu],
Duan, J.L.[Jia-Li],
Tran, S.[Son],
Xu, Y.[Yi],
Chanda, S.[Sampath],
Chen, L.Q.[Li-Qun],
Zeng, B.[Belinda],
Chilimbi, T.[Trishul],
Huang, J.Z.[Jun-Zhou],
Vision-Language Pre-Training with Triple Contrastive Learning,
CVPR22(15650-15659)
IEEE DOI
2210
Representation learning, Visualization,
Question answering (information retrieval),
Self- semi- meta- unsupervised learning
BibRef
Guo, X.Y.[Xiao-Yuan],
Duan, J.L.[Jia-Li],
Kuo, C.C.J.[C.C. Jay],
Gichoya, J.W.[Judy Wawira],
Banerjee, I.[Imon],
Augmenting Vision Language Pretraining by Learning Codebook with
Visual Semantics,
ICPR22(4779-4785)
IEEE DOI
2212
Representation learning, Bridges, Visualization, Vocabulary,
Semantics, Buildings, Benchmark testing
BibRef
Zhou, C.[Chong],
Loy, C.C.[Chen Change],
Dai, B.[Bo],
Extract Free Dense Labels from CLIP,
ECCV22(XXVIII:696-712).
Springer DOI
2211
WWW Link. Contrastive Language-Image Pre-training.
BibRef
Lin, Z.[Ziyi],
Geng, S.J.[Shi-Jie],
Zhang, R.[Renrui],
Gao, P.[Peng],
de Melo, G.[Gerard],
Wang, X.G.[Xiao-Gang],
Dai, J.F.[Ji-Feng],
Qiao, Y.[Yu],
Li, H.S.[Hong-Sheng],
Frozen CLIP Models are Efficient Video Learners,
ECCV22(XXXV:388-404).
Springer DOI
2211
BibRef
Rao, Y.M.[Yong-Ming],
Zhao, W.L.[Wen-Liang],
Chen, G.Y.[Guang-Yi],
Tang, Y.S.[Yan-Song],
Zhu, Z.[Zheng],
Huang, G.[Guan],
Zhou, J.[Jie],
Lu, J.W.[Ji-Wen],
DenseCLIP: Language-Guided Dense Prediction with Context-Aware
Prompting,
CVPR22(18061-18070)
IEEE DOI
2210
Representation learning, Image segmentation, Visualization, Shape,
Computational modeling, Semantics, Predictive models,
grouping and shape analysis
BibRef
Kwon, G.[Gihyun],
Ye, J.C.[Jong Chul],
CLIPstyler: Image Style Transfer with a Single Text Condition,
CVPR22(18041-18050)
IEEE DOI
2210
Semantics, Modulation, Pattern recognition, Vision+language,
Image and video synthesis and generation
BibRef
Khandelwal, A.[Apoorv],
Weihs, L.[Luca],
Mottaghi, R.[Roozbeh],
Kembhavi, A.[Aniruddha],
Simple but Effective: CLIP Embeddings for Embodied AI,
CVPR22(14809-14818)
IEEE DOI
2210
Contrastive Language Image Pretraining.
Training, Measurement, Visualization, Navigation, Semantics,
Robot vision systems, Robot vision, Navigation and autonomous driving
BibRef
Ma, H.Y.[Hao-Yu],
Zhao, H.[Handong],
Lin, Z.[Zhe],
Kale, A.[Ajinkya],
Wang, Z.Y.[Zhang-Yang],
Yu, T.[Tong],
Gu, J.X.[Jiu-Xiang],
Choudhary, S.[Sunav],
Xie, X.H.[Xiao-Hui],
EI-CLIP: Entity-aware Interventional Contrastive Learning for
E-commerce Cross-modal Retrieval,
CVPR22(18030-18040)
IEEE DOI
2210
Design methodology, Semantics, Clothing, Metadata, Benchmark testing,
Search problems,
BibRef
Barraco, M.[Manuele],
Cornia, M.[Marcella],
Cascianelli, S.[Silvia],
Baraldi, L.[Lorenzo],
Cucchiara, R.[Rita],
The Unreasonable Effectiveness of CLIP Features for Image Captioning:
An Experimental Analysis,
MULA22(4661-4669)
IEEE DOI
2210
Visualization, Protocols, Detectors,
Distance measurement, Data models
BibRef
Tevet, G.[Guy],
Gordon, B.[Brian],
Hertz, A.[Amir],
Bermano, A.H.[Amit H.],
Cohen-Or, D.[Daniel],
MotionCLIP: Exposing Human Motion Generation to CLIP Space,
ECCV22(XXII:358-374).
Springer DOI
2211
WWW Link. Contrastive Language-Image Pre-training (CLIP) applied to motion.
BibRef
Materzynska, J.[Joanna],
Torralba, A.[Antonio],
Bau, D.[David],
Disentangling visual and written concepts in CLIP,
CVPR22(16389-16398)
IEEE DOI
2210
Visualization, Image coding, Benchmark testing, Cognition,
Pattern recognition, Task analysis, Vision + language, Visual reasoning
BibRef
Li, M.[Manling],
Xu, R.[Ruochen],
Wang, S.[Shuohang],
Zhou, L.[Luowei],
Lin, X.D.[Xu-Dong],
Zhu, C.G.[Chen-Guang],
Zeng, M.[Michael],
Ji, H.[Heng],
Chang, S.F.[Shih-Fu],
CLIP-Event: Connecting Text and Images with Event Structures,
CVPR22(16399-16408)
IEEE DOI
2210
Codes, Computational modeling, Image retrieval, Benchmark testing,
Information retrieval, Pattern recognition, Vision + language
BibRef
Zhong, Y.[Yiwu],
Yang, J.W.[Jian-Wei],
Zhang, P.C.[Peng-Chuan],
Li, C.Y.[Chun-Yuan],
Codella, N.[Noel],
Li, L.H.[Liunian Harold],
Zhou, L.[Luowei],
Dai, X.[Xiyang],
Yuan, L.[Lu],
Li, Y.[Yin],
Gao, J.F.[Jian-Feng],
RegionCLIP: Region-based Language-Image Pretraining,
CVPR22(16772-16782)
IEEE DOI
2210
Representation learning, Visualization, Technological innovation,
Image recognition, Text recognition, Transfer learning, Vision + language
BibRef
Baldrati, A.[Alberto],
Bertini, M.[Marco],
Uricchio, T.[Tiberio],
del Bimbo, A.[Alberto],
Effective conditioned and composed image retrieval combining
CLIP-based features,
CVPR22(21434-21442)
IEEE DOI
2210
BibRef
And:
Conditioned and composed image retrieval combining and partially
fine-tuning CLIP-based features,
ODRUM22(4955-4964)
IEEE DOI
2210
Visualization, Shape, Image retrieval, Pipelines, Search engines,
Pattern recognition.
Training, Visualization, Solids, Pattern recognition
BibRef
Patashnik, O.[Or],
Wu, Z.Z.[Zong-Ze],
Shechtman, E.[Eli],
Cohen-Or, D.[Daniel],
Lischinski, D.[Dani],
StyleCLIP: Text-Driven Manipulation of StyleGAN Imagery,
ICCV21(2065-2074)
IEEE DOI
2203
Hair, Visualization, Image coding, Manuals, Optimization,
Image and video synthesis, Vision applications and systems
BibRef
Chapter on Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection continues in
Internet Label Information .