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From the 2 of 27 linked papers with an AI index.

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20242026
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16 papers · 1 filter

cs.CV2025

Beyond Degradation Redundancy: Contrastive Prompt Learning for All-in-One Image Restoration

Gang Wu, Junjun Jiang, Kui Jiang +2

All-in-One Image Restoration (AiOIR), which addresses diverse degradation types with a unified model, presents significant challenges in designing task-aware prompts that effective…

cs.CV2025

DSwinIR: Rethinking Window-based Attention for Image Restoration

Gang Wu, Junjun Jiang, Kui Jiang +2

Image restoration has witnessed significant advancements with the development of deep learning models. Transformer-based models, particularly those using window-based self-attentio…

cs.CV2025

Semantics and Content Matter: Towards Multi-Prior Hierarchical Mamba for Image Deraining

Zhaocheng Yu, Kui Jiang, Junjun Jiang +3

Rain significantly degrades the performance of computer vision systems, particularly in applications like autonomous driving and video surveillance. While existing deraining method…

cs.LG2025

Variation-Bounded Loss for Noise-Tolerant Learning

Jialiang Wang, Xiong Zhou, Xianming Liu +4

Mitigating the negative impact of noisy labels has been aperennial issue in supervised learning. Robust loss functions have emerged as a prevalent solution to this problem. In this…

cs.CV2025

Rethinking Autoregressive Models for Lossless Image Compression via Hierarchical Parallelism and Progressive Adaptation

Daxin Li, Yuanchao Bai, Kai Wang +3

Autoregressive (AR) models, the theoretical performance benchmark for learned lossless image compression, are often dismissed as impractical due to prohibitive computational cost.…

cs.CV2025

FUSE: Label-Free Image-Event Joint Monocular Depth Estimation via Frequency-Decoupled Alignment and Degradation-Robust Fusion

Pihai Sun, Junjun Jiang, Yuanqi Yao +4

Image-event joint depth estimation methods leverage complementary modalities for robust perception, yet face challenges in generalizability stemming from two factors: 1) limited an…