most citedNTIRE 2023 Quality Assessment of Video Enhancement Challenge

2 citations · 3 across the 6 of their papers we have counts for

collaborators

6 papers

eess.IV2024

NTIRE 2024 Challenge on Short-form UGC Video Quality Assessment: Methods and Results

Xin Li, Kun Yuan, Yajing Pei +65

This paper reviews the NTIRE 2024 Challenge on Shortform UGC Video Quality Assessment (S-UGC VQA), where various excellent solutions are submitted and evaluated on the collected da…

eess.AS2024

AGADIR: Towards Array-Geometry Agnostic Directional Speech Recognition

Ju Lin, Niko Moritz, Yiteng Huang +4

Wearable devices like smart glasses are approaching the compute capability to seamlessly generate real-time closed captions for live conversations. We build on our recently introdu…

cs.AI2023

Accelerating Monte Carlo Tree Search with Probability Tree State Abstraction

Yangqing Fu, Ming Sun, Buqing Nie +1

Monte Carlo Tree Search (MCTS) algorithms such as AlphaGo and MuZero have achieved superhuman performance in many challenging tasks. However, the computational complexity of MCTS-b…

cs.CV20231 cited

Ada-DQA: Adaptive Diverse Quality-aware Feature Acquisition for Video Quality Assessment

Hongbo Liu, Mingda Wu, Kun Yuan +5

Video quality assessment (VQA) has attracted growing attention in recent years. While the great expense of annotating large-scale VQA datasets has become the main obstacle for curr…

cs.CV2023

Capturing Co-existing Distortions in User-Generated Content for No-reference Video Quality Assessment

Kun Yuan, Zishang Kong, Chuanchuan Zheng +2

Video Quality Assessment (VQA), which aims to predict the perceptual quality of a video, has attracted raising attention with the rapid development of streaming media technology, s…

cs.CV20232 cited

NTIRE 2023 Quality Assessment of Video Enhancement Challenge

Xiaohong Liu, Xiongkuo Min, Wei Sun +69

This paper reports on the NTIRE 2023 Quality Assessment of Video Enhancement Challenge, which will be held in conjunction with the New Trends in Image Restoration and Enhancement W…