8 papers
Two-Stage Teacher-Student Reliable Prior Learning for Robust Underwater Image Enhancement
Yifan Chen, Jiaming Liu, Ye Zheng +2
Underwater image enhancement (UIE) aims to recover clear images from observations affected by wavelength-dependent absorption, scattering, and spatially nonuniform degradation. Alt…
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…
An MLIR-Based Compilation Method for Large Language Models
Pengchao Hu, Zhibin Xin, Yifan Chen +3
Large Language Models (LLMs) have become the dominant workload on modern AI accelerators, yet deploying them on specialized hardware still faces two core challenges: how to import…
Compressive sensing inspired self-supervised single-pixel imaging
Jijun Lu, Yifan Chen, Libang Chen +5
Single-pixel imaging (SPI) is a promising imaging modality with distinctive advantages in strongly perturbed environments. Existing SPI methods lack physical sparsity constraints a…
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…
Mitigating Long-Tail Bias in HOI Detection via Adaptive Diversity Cache
Yuqiu Jiang, Xiaozhen Qiao, Yifan Chen +3
Human-Object Interaction (HOI) detection is a fundamental task in computer vision, empowering machines to comprehend human-object relationships in diverse real-world scenarios. Rec…