8 citations · 8 across the 7 of their papers we have counts for
7 papers
Human Motion Prediction via Continual Prior Compensation
Jianwei Tang, Jian-Fang Hu, Tianming Liang +4
Human Motion Prediction (HMP) aims to predict future human poses at different moments according to observed past motion sequences. Previous approaches mainly treated the prediction…
Decoupling Endpoint and Semantic Transition Learning for Zero-Shot Composed Image Retrieval
Mingyu Liu, Sihan Huang, Yijia Fan +4
Zero-shot composed image retrieval (ZS-CIR) retrieves a target image from a reference image and a text modification without human-annotated CIR triplets. Projection-based ZS-CIR me…
HarmoGS: Robust 3D Gaussian Splatting in the Wild via Conflict-Aware Gradient Harmonization
Yulei Kang, Tianze Zhu, Jian-Fang Hu +2
In-the-wild 3D Gaussian Splatting remains challenging due to transient distractors and illumination-induced cross-view appearance inconsistencies. Existing methods mainly rely on i…
Image-to-Video Transfer Learning based on Image-Language Foundation Models: A Comprehensive Survey
Jinxuan Li, Chaolei Tan, Haoxuan Chen +4
Image-Language Foundation Models (ILFMs) have demonstrated remarkable success in vision-language understanding, providing transferable multimodal representations that generalize ac…
CoopDiff: Anticipating 3D Human-object Interactions via Contact-consistent Decoupled Diffusion
Xiaotong Lin, Tianming Liang, Jian-Fang Hu +5
3D human-object interaction (HOI) anticipation aims to predict the future motion of humans and their manipulated objects, conditioned on the historical context. Generally, the arti…
Progressive Pretext Task Learning for Human Trajectory Prediction
Xiaotong Lin, Tianming Liang, Jianhuang Lai +1
Human trajectory prediction is a practical task of predicting the future positions of pedestrians on the road, which typically covers all temporal ranges from short-term to long-te…
Siamese Learning with Joint Alignment and Regression for Weakly-Supervised Video Paragraph Grounding
Chaolei Tan, Jianhuang Lai, Wei-Shi Zheng +1
Video Paragraph Grounding (VPG) is an emerging task in video-language understanding, which aims at localizing multiple sentences with semantic relations and temporal order from an…