collaborators

5 papers

cs.CV2025

PAID: Pairwise Angular-Invariant Decomposition for Continual Test-Time Adaptation

Kunyu Wang, Xueyang Fu, Yuanfei Bao +4

Continual Test-Time Adaptation (CTTA) aims to online adapt a pre-trained model to changing environments during inference. Most existing methods focus on exploiting target data, whi…

cs.CV2025

NTIRE 2025 Image Shadow Removal Challenge Report

Florin-Alexandru Vasluianu, Tim Seizinger, Zhuyun Zhou +79

This work examines the findings of the NTIRE 2025 Shadow Removal Challenge. A total of 306 participants have registered, with 17 teams successfully submitting their solutions durin…

cs.CV2025

Towards Better De-raining Generalization via Rainy Characteristics Memorization and Replay

Kunyu Wang, Xueyang Fu, Chengzhi Cao +3

Current image de-raining methods primarily learn from a limited dataset, leading to inadequate performance in varied real-world rainy conditions. To tackle this, we introduce a new…

cs.CV2025

Efficient Test-time Adaptive Object Detection via Sensitivity-Guided Pruning

Kunyu Wang, Xueyang Fu, Xin Lu +4

Continual test-time adaptive object detection (CTTA-OD) aims to online adapt a source pre-trained detector to ever-changing environments during inference under continuous domain sh…

cs.CV2025

EventMamba: Enhancing Spatio-Temporal Locality with State Space Models for Event-Based Video Reconstruction

Chengjie Ge, Xueyang Fu, Peng He +3

Leveraging its robust linear global modeling capability, Mamba has notably excelled in computer vision. Despite its success, existing Mamba-based vision models have overlooked the…