129 citations · 134 across the 10 of their papers we have counts for
10 papers · 1 filter
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…
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…
Improving Object Detection and Attribute Recognition by Feature Entanglement Reduction
Zhaoheng Zheng, Arka Sadhu, Ram Nevatia
We explore object detection with two attributes: color and material. The task aims to simultaneously detect objects and infer their color and material. A straight-forward approach…
Temporal Localization of Fine-Grained Actions in Videos by Domain Transfer from Web Images
Chen Sun, Sanketh Shetty, Rahul Sukthankar +1
We address the problem of fine-grained action localization from temporally untrimmed web videos. We assume that only weak video-level annotations are available for training. The go…