collaborators

11 papers

cs.CV2026

Power Battery Detection

Xiaoqi Zhao, Peiqian Cao, Chenyang Yu +10

Power batteries are essential components in electric vehicles, where internal structural defects can pose serious safety risks. We conduct a comprehensive study on a new task, powe…

cs.AI2026

Perception or Prejudice: Can MLLMs Go Beyond First Impressions of Personality?

Caixin Kang, Tianyu Yan, Sitong Gong +8

Multimodal Large Language Models (MLLMs) are increasingly deployed in human-facing roles where personality perception is critical, yet existing benchmarks evaluate this capability…

cs.CV2026

ConceptSeg-R1: Segment Any Concept via Meta-Reinforcement Learning

Yuan Zhao, Youwei Pang, Jiaming Zuo +10

Recent progress in promptable segmentation has shifted visual perception from object-level localization toward concept-level understanding. However, the notion of a concept remains…

cs.CV2026

UniMMAD: Unified Multi-Modal and Multi-Class Anomaly Detection via MoE-Driven Feature Decompression

Yuan Zhao, Youwei Pang, Lihe Zhang +4

Existing anomaly detection (AD) methods often treat the modality and class as independent factors. Although this paradigm has enriched the development of AD research branches and p…

cs.CV2025

Rethinking Evaluation of Infrared Small Target Detection

Youwei Pang, Xiaoqi Zhao, Lihe Zhang +4

As an essential vision task, infrared small target detection (IRSTD) has seen significant advancements through deep learning. However, critical limitations in current evaluation pr…

cs.CV2025

UniMRSeg: Unified Modality-Relax Segmentation via Hierarchical Self-Supervised Compensation

Xiaoqi Zhao, Youwei Pang, Chenyang Yu +5

Multi-modal image segmentation faces real-world deployment challenges from incomplete/corrupted modalities degrading performance. While existing methods address training-inference…