activity
20212024
most citedMake It Move: Controllable Image-to-Video Generation with Text Descriptions

1 citations · 5 across the 13 of their papers we have counts for

collaborators

13 papers

eess.IV20241 cited

Joint Reference Frame Synthesis and Post Filter Enhancement for Versatile Video Coding

Weijie Bao, Yuantong Zhang, Jianghao Jia +2

This paper presents the joint reference frame synthesis (RFS) and post-processing filter enhancement (PFE) for Versatile Video Coding (VVC), aiming to explore the combination of di…

cs.CV2024

AIS 2024 Challenge on Video Quality Assessment of User-Generated Content: Methods and Results

Marcos V. Conde, Saman Zadtootaghaj, Nabajeet Barman +33

This paper reviews the AIS 2024 Video Quality Assessment (VQA) Challenge, focused on User-Generated Content (UGC). The aim of this challenge is to gather deep learning-based method…

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…

cs.CV20241 cited

Space-Time Video Super-resolution with Neural Operator

Yuantong Zhang, Hanyou Zheng, Daiqin Yang +3

This paper addresses the task of space-time video super-resolution (ST-VSR). Existing methods generally suffer from inaccurate motion estimation and motion compensation (MEMC) prob…

cs.MM2024

Perceptual-oriented Learned Image Compression with Dynamic Kernel

Nianxiang Fu, Junxi Zhang, Huairui Wang +1

In this paper, we extend our prior research named DKIC and propose the perceptual-oriented learned image compression method, PO-DKIC. Specifically, DKIC adopts a dynamic kernel-bas…

cs.IR20231 cited

UnifiedSSR: A Unified Framework of Sequential Search and Recommendation

Jiayi Xie, Shang Liu, Gao Cong +1

In this work, we propose a Unified framework of Sequential Search and Recommendation (UnifiedSSR) for joint learning of user behavior history in both search and recommendation scen…