activity
20222026
most citedAttention-based Interactive Disentangling Network for Instance-level Emotional Voice Conversion

6 citations · 19 across the 9 of their papers we have counts for

collaborators

12 papers

cs.CV2026

COSMO: Consensus-Driven Shift Modulation for Source-Free Domain Adaptation

Bo Li, Junjie Peng, Xiaohua Xie +1

Source-free domain adaptation (SFDA) adapts a source-trained model to an unlabeled target domain without source data, a practical setting under privacy or storage constraints. Yet…

cs.AI2026

Physics-Grounded Fluid Video Generation with a Simulation Dataset and Dual-Stream Optical-Flow Supervision

Ruijie Su, Yuanzhi Liang, Xiaohua Xie +1

Video diffusion models generate visually compelling content but routinely violate elementary physics when the subject involves fluids: liquid columns break apart in mid-air, contai…

cs.CL2026

GRKV: Global Regression for Training-Free KV Cache Compression in Long-Context LLMs

Junjie Peng, You Wu, Haoyi Wu +4

Large language models (LLMs) with extended context lengths rely on the key-value (KV) cache to support attention over prior tokens. However, maintaining the KV cache incurs substan…

cs.CV2026

Thinking Before Matching: A Reinforcement Reasoning Paradigm Towards General Person Re-Identification

Quan Zhang, Jingze Wu, Jialong Wang +3

Learning identity-discriminative representations with multi-scene generality has become a critical objective in person re-identification (ReID). However, mainstream perception-driv…

cs.CV2025

Training-Free Class Purification for Open-Vocabulary Semantic Segmentation

Qi Chen, Lingxiao Yang, Yun Chen +4

Fine-tuning pre-trained vision-language models has emerged as a powerful approach for enhancing open-vocabulary semantic segmentation (OVSS). However, the substantial computational…

cs.CV2024

GuardSplat: Efficient and Robust Watermarking for 3D Gaussian Splatting

Zixuan Chen, Guangcong Wang, Jiahao Zhu +2

3D Gaussian Splatting (3DGS) has recently created impressive 3D assets for various applications. However, considering security, capacity, invisibility, and training efficiency, the…