1 citations · 1 across the 4 of their papers we have counts for
7 papers
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…
Large Language Models are Good Prompt Learners for Low-Shot Image Classification
Zhaoheng Zheng, Jingmin Wei, Xuefeng Hu +2
Low-shot image classification, where training images are limited or inaccessible, has benefited from recent progress on pre-trained vision-language (VL) models with strong generali…
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…
Utilizing Every Image Object for Semi-supervised Phrase Grounding
Haidong Zhu, Arka Sadhu, Zhaoheng Zheng +1
Phrase grounding models localize an object in the image given a referring expression. The annotated language queries available during training are limited, which also limits the va…
CPARR: Category-based Proposal Analysis for Referring Relationships
Chuanzi He, Haidong Zhu, Jiyang Gao +2
The task of referring relationships is to localize subject and object entities in an image satisfying a relationship query, which is given in the form of \texttt{<subject, predicat…
Curriculum DeepSDF
Yueqi Duan, Haidong Zhu, He Wang +3
When learning to sketch, beginners start with simple and flexible shapes, and then gradually strive for more complex and accurate ones in the subsequent training sessions. In this…