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cs.CV2026

Beyond Visual Similarity: Entity-Aligned Retrieval for Knowledge-Based Visual Question Answering

Hangrui Xu, Zhengxian Wu, Yunyao Yu +6

Knowledge-Based Visual Question Answering (KB-VQA) relies on retrieving external information to answer queries involving long-tail entities. However, existing retrieval pipelines p…

cs.CV2026

Stabilizing Unsupervised Self-Evolution of MLLMs via Continuous Softened Retracing reSampling

Yunyao Yu, Zhengxian Wu, Zhuohong Chen +6

In the unsupervised self-evolution of Multimodal Large Language Models, the quality of feedback signals during post-training is pivotal for stable and effective learning. However,…

cs.CV2026

Learning to Search: A Decision-Based Agent for Knowledge-Based Visual Question Answering

Zhuohong Chen, Zhenxian Wu, Yunyao Yu +6

Knowledge-based visual question answering (KB-VQA) requires vision-language models to understand images and use external knowledge, especially for rare entities and long-tail facts…

cs.CV2025

PSGait: Gait Recognition using Parsing Skeleton

Hangrui Xu, Zhengxian Wu, Chuanrui Zhang +4

Gait recognition has emerged as a robust biometric modality due to its non-intrusive nature. Conventional gait recognition methods mainly rely on silhouettes or skeletons. While ef…

cs.CV2024

MVReward: Better Aligning and Evaluating Multi-View Diffusion Models with Human Preferences

Weitao Wang, Haoran Xu, Yuxiao Yang +3

Recent years have witnessed remarkable progress in 3D content generation. However, corresponding evaluation methods struggle to keep pace. Automatic approaches have proven challeng…