most citedVariational Rectification Inference for Learning with Noisy Labels

15 citations · 17 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2026

From Digital Human Interactions to Physics-Based Humanoid Skills: Physics-Grounded Post-Training of Interaction Generators

Kerui Chen, Jianrong Zhang, Kai Lv +1

Recent methods have made promising progress in generating interactions between two humanoids, largely relying on physics-based tracking policies to convert digital reference motion…

cs.LG2026★ 15 cited

Variational Rectification Inference for Learning with Noisy Labels

Haoliang Sun, Qi Wei, Lei Feng +4

Label noise has been broadly observed in real-world datasets. To mitigate the negative impact of overfitting to label noise for deep models, effective strategies (\textit{e.g.}, re…

cs.CV2026

DRFormer: A Dual-Regularized Bidirectional Transformer for Person Re-identification

Ying Shu, Pujian Zhan, Huiqi Yang +3

Both fine-grained discriminative details and global semantic features can contribute to solving person re-identification challenges, such as occlusion and pose variations. Vision f…

cs.CV2023★ 1 cited

Building Category Graphs Representation with Spatial and Temporal Attention for Visual Navigation

Xiaobo Hu, Youfang Lin, HeHe Fan +3

Given an object of interest, visual navigation aims to reach the object's location based on a sequence of partial observations. To this end, an agent needs to 1) learn a piece of c…

cs.CV2023★ 1 cited

Learning Robust Representations via Bidirectional Transition for Visual Reinforcement Learning

Xiaobo Hu, Youfang Lin, Yue Liu +4

Visual reinforcement learning has proven effective in solving control tasks with high-dimensional observations. However, extracting reliable and generalizable representations from…