Huang, Q.B.[Qing-Bao],
Liang, Y.[Yu],
Wei, J.L.[Jie-Long],
Cai, Y.[Yi],
Liang, H.Y.[Han-Yu],
Leung, H.F.[Ho-Fung],
Li, Q.[Qing],
Image Difference Captioning With Instance-Level Fine-Grained Feature
Representation,
MultMed(24), No. 2022, pp. 2004-2017.
IEEE DOI
2204
WWW Link.
Code, Change Detection. Feature extraction, Semantics, Visualization, Task analysis,
Image color analysis, Proposals, Interference,
similarity-based difference finding
BibRef
Tu, Y.B.[Yun-Bin],
Li, L.[Liang],
Su, L.[Li],
Du, J.P.[Jun-Ping],
Lu, K.[Ke],
Huang, Q.M.[Qing-Ming],
Viewpoint-Adaptive Representation Disentanglement Network for Change
Captioning,
IP(32), 2023, pp. 2620-2635.
IEEE DOI
2305
Task analysis, Image coding, Adaptation models, Encoding,
Computer science, Transformers, Semantics, Change captioning,
position-embedded representation learning
BibRef
Tu, Y.B.[Yun-Bin],
Li, L.[Liang],
Su, L.[Li],
Gao, S.X.[Sheng-Xiang],
Yan, C.G.[Cheng-Gang],
Zha, Z.J.[Zheng-Jun],
Yu, Z.T.[Zheng-Tao],
Huang, Q.M.[Qing-Ming],
I2-Transformer: Intra- and Inter-Relation Embedding Transformer for
TV Show Captioning,
IP(31), 2022, pp. 3565-3577.
IEEE DOI
2206
Transformers, Semantics, Task analysis, Visualization, TV,
Graph neural networks, TV Show captioning, transformer
BibRef
Tu, Y.B.[Yun-Bin],
Li, L.[Liang],
Su, L.[Li],
Zha, Z.J.[Zheng-Jun],
Huang, Q.M.[Qing-Ming],
SMART: Syntax-Calibrated Multi-Aspect Relation Transformer for Change
Captioning,
PAMI(46), No. 7, July 2024, pp. 4926-4943.
IEEE DOI
2406
Semantics, Visualization, Transformers, Decoding, Switches, Syntactics,
Image representation, Change captioning, transformer
BibRef
Tu, Y.B.[Yun-Bin],
Li, L.[Liang],
Su, L.[Li],
Lu, K.[Ke],
Huang, Q.M.[Qing-Ming],
Neighborhood Contrastive Transformer for Change Captioning,
MultMed(25), 2023, pp. 9518-9529.
IEEE DOI
2312
BibRef
Yue, S.B.[Sheng-Bin],
Tu, Y.[Yunbin],
Li, L.[Liang],
Yang, Y.[Ying],
Gao, S.X.[Sheng-Xiang],
Yu, Z.T.[Zheng-Tao],
I3N: Intra- and Inter-Representation Interaction Network for Change
Captioning,
MultMed(25), 2023, pp. 8828-8841.
IEEE DOI
2312
BibRef
Lu, Z.C.[Zhi-Cong],
Jin, L.[Li],
Chen, Z.W.[Zi-Wei],
Tian, C.Y.[Chang-Yuan],
Sun, X.[Xian],
Li, X.Y.[Xiao-Yu],
Zhang, Y.[Yi],
Li, Q.[Qi],
Xu, G.[Guangluan],
Relation-Aware Multi-Pass Comparison Deconfounded Network for Change
Captioning,
CirSysVideo(34), No. 12, December 2024, pp. 13349-13363.
IEEE DOI
2501
Semantics, Visualization, Task analysis, Encoding, Decoding,
Correlation, Noise, Change captioning, causal intervention
BibRef
Tu, Y.B.[Yun-Bin],
Li, L.[Liang],
Su, L.[Li],
Yan, C.G.[Cheng-Gang],
Huang, Q.M.[Qing-Ming],
Distractors-immune Representation Learning with Cross-modal Contrastive
Regularization for Change Captioning,
ECCV24(XLIII: 311-328).
Springer DOI
2412
BibRef
Qiu, Y.[Yue],
Yamamoto, S.[Shintaro],
Yamada, R.[Ryosuke],
Suzuki, R.[Ryota],
Kataoka, H.[Hirokatsu],
Iwata, K.[Kenji],
Satoh, Y.[Yutaka],
3D Change Localization and Captioning from Dynamic Scans of Indoor
Scenes,
WACV23(1176-1185)
IEEE DOI
2302
Location awareness, Point cloud compression, Image recognition,
Limiting, Detectors, Benchmark testing, 3D computer vision
BibRef
Hosseinzadeh, M.[Mehrdad],
Wang, Y.[Yang],
Image Change Captioning by Learning from an Auxiliary Task,
CVPR21(2724-2733)
IEEE DOI
2111
Training, Image color analysis, Image retrieval,
Semantics, Benchmark testing
BibRef
Kim, H.[Hoeseong],
Kim, J.S.[Jong-Seok],
Lee, H.[Hyungseok],
Park, H.[Hyunsung],
Kim, G.[Gunhee],
Viewpoint-Agnostic Change Captioning with Cycle Consistency,
ICCV21(2075-2084)
IEEE DOI
2203
Visualization, Image coding, Filtering, Neural networks, SPICE,
Cameras, Vision + language, Scene analysis and understanding
BibRef
Shi, X.X.[Xiang-Xi],
Yang, X.[Xu],
Gu, J.X.[Jiu-Xiang],
Joty, S.[Shafiq],
Cai, J.F.[Jian-Fei],
Finding It at Another Side:
A Viewpoint-adapted Matching Encoder for Change Captioning,
ECCV20(XIV:574-590).
Springer DOI
2011
BibRef
Park, D.H.,
Darrell, T.J.,
Rohrbach, A.,
Robust Change Captioning,
ICCV19(4623-4632)
IEEE DOI
2004
feature extraction, learning (artificial intelligence),
natural language processing, object-oriented programming, Predictive models
BibRef
Chapter on Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces continues in
Change Detection for Remote Sensing Image Level .