Research
Data Generation
This research area is about generate diverse and high-fidelity data. Some methods focus on the generation quality, while others further focus on the recognition performance based on the generated data.
- 2D Human ICCV’17, ECCV’18, TIP’18, TMM’22
- 3D Human arXiv’22
- Face IJCAI’20, TCYB’20, CVPR’22
- Sign Language arXiv’22
Content-based Retrieval
This research area is to retrieval the relevant multi-media data including cross-view, cross-modality or other challenging cases.
- 2D Human TOMM’18, TCSVT’19, PR’19, AAAI’21, TPAMI’22, TCYB’22, TMM’23
- 2D Vehicle TMM’20, CVPRW’21
- 3D Human / Objects TNNLS’22, TMM’22
- Cross Modality (Image,Text, Video) TOMM’20, CVPRW’21, TMM’22, arXiv’22
- Cross View (Drone, Satellite, Ground) ACM MM’20, TCSVT’21, TIP’22
- Sign Language arXiv’22
- Adversarial Examples IJCV’22
Domain Adaptation
This research area is to minimize the gap between the generated data / simulation system with the real-world data / scenario during deployment.