CORTEXA
← Browse

Mang Ye

6 papers indexed

arxivcs.CV2026-07-21

Reliability-Aware 3D Geometric Injection for Universal Person Re-identification

Bohan Su, Jiashuo Wang, Fangyi Liu, Mang Ye

Universal person re-identification (ReID) aims to retrieve pedestrian identities across diverse real-world scenarios, including severe occlusions, clothing changes, and cross-modality shifts, within a unified model. However, existing 2D representations fundamentally struggle with…

View free PDFSource page
arxivcs.CV2026-07-16

Blurring Modal Boundaries: A Unified Survey from Single- to Multi-Modal Person Re-ldentification

Xiao Wang, Bing Wang, Bin Yang, Cuiqun Chen, Xin Xu, Mang Ye

Person re-identification (ReID) serves as a critical component in intelligent surveillance systems, aiming to match identities across disjoint camera networks. While traditional methods primarily rely on single-modal RGB imagery, they are often constrained by environmental challe…

View free PDFSource page
arxivcs.RO2026-07-14

TrustVLA: Mechanism-Guided Inference-Time Defense Against Vision-Language-Action Backdoors

Pinhan Fu, Xianda Guo, Xuetao Li, Wenke Huang, Ruilin Wang, Weiheng Zhao, et al.

Vision-Language-Action (VLA) models are deployed through pipelines that end users cannot audit, and a poisoned VLA can behave normally on clean observations while a small visual trigger redirects a long-horizon robot policy before any failure becomes observable. Existing vision o…

View free PDFSource page
arxivcs.AI2026-07-11

Behavioural Signatures of Risk-Sensitive Decision-Making in Large Language Models

Xuankun Rong, Wenke Huang, Bo Du, Dacheng Tao, Mang Ye

As large language models (LLMs) are increasingly used in decision support, it is important to understand whether their choices under uncertainty exhibit stable and interpretable behavioural regularities. Human decision-making combines relatively persistent risk preferences with c…

View free PDFSource page
arxivcs.CV2026-07-09

Switch-Reasoner: Learn When to Think in Multitask Mixtures via Reinforcement Learning

Yiyang Fang, Pei Fu, Jinjie Li, Jian Liang, Wenke Huang, Ruijie Luo, et al.

Multimodal Large Language Models (MLLMs) often follow a fixed Think-then-Answer paradigm, which is inefficient in heterogeneous multitask settings because simple inputs may not require explicit reasoning while difficult ones can benefit substantially from it. Learning when to thi…

View free PDFSource page
arxivcs.CV2026-06-29

Cross-Resolution Semantic Transfer for Robust Text-to-Image Retrieval in Low-Resolution Surveillance

Wenjie Qian, Bin Yang, Xiao Wang, Wenke Huang, Ling Mei, Xin Xu, et al.

Text-to-image person re-identification (TIPR) retrieves target persons using natural language descriptions. However, existing methods largely overlook resolution variance in real-world surveillance. They characterize cross-resolution TIPR through two coupled failure modes: Eviden…

View free PDFSource page