6 citations · 8 across the 11 of their papers we have counts for
11 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…
CAILA: Concept-Aware Intra-Layer Adapters for Compositional Zero-Shot Learning
Zhaoheng Zheng, Haidong Zhu, Ram Nevatia
In this paper, we study the problem of Compositional Zero-Shot Learning (CZSL), which is to recognize novel attribute-object combinations with pre-existing concepts. Recent researc…
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…
GaitRef: Gait Recognition with Refined Sequential Skeletons
Haidong Zhu, Wanrong Zheng, Zhaoheng Zheng +1
Identifying humans with their walking sequences, known as gait recognition, is a useful biometric understanding task as it can be observed from a long distance and does not require…
Gait Recognition Using 3-D Human Body Shape Inference
Haidong Zhu, Zhaoheng Zheng, Ram Nevatia
Gait recognition, which identifies individuals based on their walking patterns, is an important biometric technique since it can be observed from a distance and does not require th…
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…
Pick-and-Learn: Automatic Quality Evaluation for Noisy-Labeled Image Segmentation
Haidong Zhu, Jialin Shi, Ji Wu
Deep learning methods have achieved promising performance in many areas, but they are still struggling with noisy-labeled images during the training process. Considering that the a…