activity
20202024
most citedPatchZero: Defending against Adversarial Patch Attacks by Detecting and Zeroing the Patch

3 citations · 5 across the 11 of their papers we have counts for

collaborators

11 papers

cs.CV2024★ 1 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

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…

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

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…

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.CV2023

MoMo: A shared encoder Model for text, image and multi-Modal representations

Rakesh Chada, Zhaoheng Zheng, Pradeep Natarajan

We propose a self-supervised shared encoder model that achieves strong results on several visual, language and multimodal benchmarks while being data, memory and run-time efficient…