most citedLearning from Heterogeneity: Generalizing Dynamic Facial Expression Recognition via Distributionally Robust Optimization

9 citations · 11 across the 14 of their papers we have counts for

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cs.CV2026

DynaForcing: Overcoming Dynamic Collapse in Self-Forcing Distillation for Streaming Avatar Generation

Yubo Huang, Sirui Zhao, Xinchen Yao +5

Audio-driven avatar generation requires realistic lip-sync, expressive motion, and real-time streaming. Recent work achieves the latter via self-forcing with Distribution Matching…

cs.CV2026

Dual-Path Learning based on Frequency Structural Decoupling and Regional-Aware Fusion for Low-Light Image Super-Resolution

Ji-Xuan He, Jia-Cheng Zhao, Feng-Qi Cui +5

Low-light image super-resolution (LLISR) is essential for restoring fine visual details and perceptual quality under insufficient illumination conditions with ubiquitous low-resolu…

cs.CV2026

UniGeo: A Unified 3D Indoor Object Detection Framework Integrating Geometry-Aware Learning and Dynamic Channel Gating

Xing Yi, Jinyang Huang, Feng-Qi Cui +4

The growing adoption of robotics and augmented reality in real-world applications has driven considerable research interest in 3D object detection based on point clouds. While prev…

cs.CV2026

ReMA: A Training-Free Plug-and-Play Mixing Augmentation for Video Behavior Recognition

Feng-Qi Cui, Jinyang Huang, Sirui Zhao +4

Video behavior recognition demands stable and discriminative representations under complex spatiotemporal variations. However, prevailing data augmentation strategies for videos re…

cs.CV2025

Robust Low-Rank Sparse Framework for Video-Based Affective Computing

Feng-Qi Cui, Jinyang Huang, Sirui Zhao +4

Video-based Affective Computing (VAC), vital for emotion analysis and human-computer interaction, suffers from model instability and representational degradation due to complex emo…

cs.CV2025

Generalizing WiFi Gesture Recognition via Large-Model-Aware Semantic Distillation and Alignment

Feng-Qi Cui, Yu-Tong Guo, Tianyue Zheng +1

WiFi-based gesture recognition has emerged as a promising RF sensing paradigm for enabling non-contact and privacy-preserving human-computer interaction in AIoT environments. Howev…