6 papers
RRTrack: Robust and Recoverable Object 6D Pose Tracking for Dynamic Scenes
Junyue Li, Ye Zheng, Yifan Chen +2
Robust object 6D pose tracking is critical for robotic systems operating in dynamic and occluded scenes. Per-frame estimators are accurate but computationally expensive, while curr…
Advancing Visual Reliability: Color-Accurate Underwater Image Enhancement for Real-Time Underwater Missions
Yiqiang Zhou, Yifan Chen, Zhe Sun +3
Underwater image enhancement plays a crucial role in providing reliable visual information for underwater platforms, since strong absorption and scattering in water-related environ…
A Generative Data Framework with Authentic Supervision for Underwater Image Restoration and Enhancement
Yufeng Tian, Yifan Chen, Zhe Sun +5
Underwater image restoration and enhancement are crucial for correcting color distortion and restoring image details, thereby establishing a fundamental basis for subsequent underw…
Class-Aware Prototype Learning with Negative Contrast for Test-Time Adaptation of Vision-Language Models
Xiaozhen Qiao, Jingkai Zhao, Yuqiu Jiang +4
Vision-Language Models (VLMs) demonstrate impressive zero-shot generalization through large-scale image-text pretraining, yet their performance can drop once the deployment distrib…
Bidirectional Prototype-Reward co-Evolution for Test-Time Adaptation of Vision-Language Models
Xiaozhen Qiao, Peng Huang, Jiakang Yuan +6
Test-time adaptation (TTA) is crucial in maintaining performance of Vision Language Models (VLMs) when facing distribution shifts, particularly when the source data or target label…
Large model enhanced computational ghost imaging
Yifan Chen, Hongjun An, Zhe Sun +4
Ghost imaging (GI) achieves 2D image reconstruction through high-order correlation of 1D bucket signals and 2D light field information, particularly demonstrating enhanced detectio…