7 papers · 1 filter
Evolution-Inspired Sample Competition for Deep Neural Network Optimization
Ying Zheng, Yiyi Zhang, Yi Wang +1
Conventional deep network training generally optimizes all samples under a largely uniform learning paradigm, without explicitly modeling the heterogeneous competition among them.…
MASS: Mesh-inellipse Aligned Deformable Surfel Splatting for Hand Reconstruction and Rendering from Egocentric Monocular Video
Haoyu Zhu, Yi Zhang, Lei Yao +2
Reconstructing high-fidelity 3D hands from egocentric monocular videos remains a challenge due to the limitations in capturing high-resolution geometry, hand-object interactions, a…
HVG-3D: Bridging Real and Simulation Domains for 3D-Conditional Hand-Object Interaction Video Synthesis
Mingjin Chen, Junhao Chen, Zhaoxin Fan +6
Recent methods have made notable progress in the visual quality of hand-object interaction video synthesis. However, most approaches rely on 2D control signals that lack spatial ex…
ProCal: Probability Calibration for Neighborhood-Guided Source-Free Domain Adaptation
Ying Zheng, Yiyi Zhang, Yi Wang +1
Source-Free Domain Adaptation (SFDA) adapts pre-trained models to unlabeled target domains without requiring access to source data. Although state-of-the-art methods leveraging loc…
ANNEXE: Unified Analyzing, Answering, and Pixel Grounding for Egocentric Interaction
Yuejiao Su, Yi Wang, Qiongyang Hu +2
Egocentric interaction perception is one of the essential branches in investigating human-environment interaction, which lays the basis for developing next-generation intelligent s…
SignEye: Traffic Sign Interpretation from Vehicle First-Person View
Chuang Yang, Xu Han, Tao Han +5
Traffic signs play a key role in assisting autonomous driving systems (ADS) by enabling the assessment of vehicle behavior in compliance with traffic regulations and providing navi…