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20192026
most citedKnowRU: Knowledge Reusing via Knowledge Distillation in Multi-agent Reinforcement Learning

16 citations · 42 across the 18 of their papers we have counts for

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5 papers · 1 filter

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

NTIRE 2025 Challenge on HR Depth from Images of Specular and Transparent Surfaces

Pierluigi Zama Ramirez, Fabio Tosi, Luigi Di Stefano +36

This paper reports on the NTIRE 2025 challenge on HR Depth From images of Specular and Transparent surfaces, held in conjunction with the New Trends in Image Restoration and Enhanc…

cs.CV2025

NTIRE 2025 Challenge on Event-Based Image Deblurring: Methods and Results

Lei Sun, Andrea Alfarano, Peiqi Duan +85

This paper presents an overview of NTIRE 2025 the First Challenge on Event-Based Image Deblurring, detailing the proposed methodologies and corresponding results. The primary goal…

cs.CV2021★ 16 cited

CLIP2TV: Align, Match and Distill for Video-Text Retrieval

Zijian Gao, Jingyu Liu, Weiqi Sun +3

Modern video-text retrieval frameworks basically consist of three parts: video encoder, text encoder and the similarity head. With the success on both visual and textual representa…

cs.CV2021★ 1 cited

Coarse to Fine: Video Retrieval before Moment Localization

Zijian Gao, Huanyu Liu, Jingyu Liu

The current state-of-the-art methods for video corpus moment retrieval (VCMR) often use similarity-based feature alignment approach for the sake of convenience and speed. However,…