6 citations · 11 across the 7 of their papers we have counts for
6 papers · 1 filter
Diffusion Reward Models
Xiangyang Wang, Bingxiang He, Zeyuan Liu +14
Reward models underpin the alignment of large language models, yet the dominant designs reduce each prompt--response pair to a point estimate or to a distribution from a fixed para…
LiveVVT: High-Fidelity Video Virtual Try-On in Real Time
Yushe Cao, Shikun Feng, Ruxiang Duan +4
Diffusion-based Video Virtual Try-On (VVT) achieves high visual fidelity through bidirectional spatio-temporal modeling, but complete-clip dependence incurs prohibitive latency and…
UniVVT: A Unified End-to-End Framework for High-Fidelity Video Virtual Try-on
Yushe Cao, Shikun Feng, Fei Shen +5
Video Virtual Try-On (VVT) synthesizes a video of a person wearing a target garment while preserving identity, motion, and scene dynamics. Dominant approaches cast VVT as mask-cond…
Position: Robot Privacy as Embodied Boundary Work. Connecting Capabilities, Contexts, and Design Responses in Everyday Robotics
Liwen He, Shuning Zhang, Chengwen Zhang +4
Robots are increasingly entering everyday environments where privacy is shaped not only by data practices, but also by spatial, bodily, social, and relational boundaries. Their emb…
PAGE: Towards Practical Human-level Gaze Target Estimation
Zhoutong Ye, Chengwen Zhang, Zhaibin Cui +10
Gaze target estimation, the task of predicting where a person is looking in a scene, is crucial to understanding human attention and intent. It is a challenging task that combines…
Fusing Complementary Multi-view Features for Screen-Based Eye Tracking
Chang Liu, Jiaqi Liu, Zhoutong Ye +6
Current multi-view gaze estimation remains limited by existing datasets, insufficient exploitation of complementary cross-view information, and evaluation focused primarily on aver…