activity
20162024
most citedKnowledge Concentration: Learning 100K Object Classifiers in a Single CNN

22 citations · 40 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CV2024

BaFTA: Backprop-Free Test-Time Adaptation For Zero-Shot Vision-Language Models

Xuefeng Hu, Ke Zhang, Min Sun +3

Large-scale pretrained vision-language models like CLIP have demonstrated remarkable zero-shot image classification capabilities across diverse domains. To enhance CLIP's performan…

cs.CV20241 cited

GaitSTR: Gait Recognition with Sequential Two-stream Refinement

Wanrong Zheng, Haidong Zhu, Zhaoheng Zheng +1

Gait recognition aims to identify a person based on their walking sequences, serving as a useful biometric modality as it can be observed from long distances without requiring coop…

cs.CV2023

ShARc: Shape and Appearance Recognition for Person Identification In-the-wild

Haidong Zhu, Wanrong Zheng, Zhaoheng Zheng +1

Identifying individuals in unconstrained video settings is a valuable yet challenging task in biometric analysis due to variations in appearances, environments, degradations, and o…

cs.CV2023

CAT-NeRF: Constancy-Aware TxFormer for Dynamic Body Modeling

Haidong Zhu, Zhaoheng Zheng, Wanrong Zheng +1

This paper addresses the problem of human rendering in the video with temporal appearance constancy. Reconstructing dynamic body shapes with volumetric neural rendering methods, su…

cs.CV20223 cited

PatchZero: Defending against Adversarial Patch Attacks by Detecting and Zeroing the Patch

Ke Xu, Yao Xiao, Zhaoheng Zheng +2

Adversarial patch attacks mislead neural networks by injecting adversarial pixels within a local region. Patch attacks can be highly effective in a variety of tasks and physically…

cs.CV201722 cited

Knowledge Concentration: Learning 100K Object Classifiers in a Single CNN

Jiyang Gao, Zijian, Guo +2

Fine-grained image labels are desirable for many computer vision applications, such as visual search or mobile AI assistant. These applications rely on image classification models…