activity
20172026
most citedTwo-stream Collaborative Learning with Spatial-Temporal Attention for Video Classification

7 citations · 12 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2026

Towards Policy-Adaptive Image Guardrail: Benchmark and Method

Caiyong Piao, Zhiyuan Yan, Haoming Xu +4

Accurate rejection of sensitive or harmful visual content, i.e., harmful image guardrail, is critical in many application scenarios. This task must continuously adapt to the evolvi…

cs.CV2025

DyFo: A Training-Free Dynamic Focus Visual Search for Enhancing LMMs in Fine-Grained Visual Understanding

Geng Li, Jinglin Xu, Yunzhen Zhao +1

Humans can effortlessly locate desired objects in cluttered environments, relying on a cognitive mechanism known as visual search to efficiently filter out irrelevant information a…

cs.CV2017★ 7 cited

Two-stream Collaborative Learning with Spatial-Temporal Attention for Video Classification

Yuxin Peng, Yunzhen Zhao, Junchao Zhang

Video classification is highly important with wide applications, such as video search and intelligent surveillance. Video naturally consists of static and motion information, which…

cs.MM2017★ 2 cited

An Overview of Cross-media Retrieval: Concepts, Methodologies, Benchmarks and Challenges

Yuxin Peng, Xin Huang, Yunzhen Zhao

Multimedia retrieval plays an indispensable role in big data utilization. Past efforts mainly focused on single-media retrieval. However, the requirements of users are highly flexi…

cs.CV2017★ 3 cited

Saliency-guided video classification via adaptively weighted learning

Yunzhen Zhao, Yuxin Peng

Video classification is productive in many practical applications, and the recent deep learning has greatly improved its accuracy. However, existing works often model video frames…