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20212023
most citedExtracting Motion and Appearance via Inter-Frame Attention for Efficient Video Frame Interpolation

4 citations · 7 across the 7 of their papers we have counts for

collaborators

7 papers

eess.IV2023

Supervised Domain Adaptation for Recognizing Retinal Diseases from Wide-Field Fundus Images

Qijie Wei, Jingyuan Yang, Bo Wang +9

This paper addresses the emerging task of recognizing multiple retinal diseases from wide-field (WF) and ultra-wide-field (UWF) fundus images. For an effective use of existing larg…

cs.CV2023

Dynamic Video Frame Interpolation with integrated Difficulty Pre-Assessment

Ban Chen, Xin Jin, Youxin Chen +4

Video frame interpolation(VFI) has witnessed great progress in recent years. While existing VFI models still struggle to achieve a good trade-off between accuracy and efficiency: f…

cs.CV2023★ 4 cited

Extracting Motion and Appearance via Inter-Frame Attention for Efficient Video Frame Interpolation

Guozhen Zhang, Yuhan Zhu, Haonan Wang +3

Effectively extracting inter-frame motion and appearance information is important for video frame interpolation (VFI). Previous works either extract both types of information in a…

cs.CV2022★ 2 cited

A Unified Pyramid Recurrent Network for Video Frame Interpolation

Xin Jin, Longhai Wu, Jie Chen +3

Flow-guided synthesis provides a common framework for frame interpolation, where optical flow is estimated to guide the synthesis of intermediate frames between consecutive inputs.…

cs.MM2022

Improving Visual-Semantic Embedding with Adaptive Pooling and Optimization Objective

Zijian Zhang, Chang Shu, Ya Xiao +7

Visual-Semantic Embedding (VSE) aims to learn an embedding space where related visual and semantic instances are close to each other. Recent VSE models tend to design complex struc…

cs.CV2022

Enhanced Bi-directional Motion Estimation for Video Frame Interpolation

Xin Jin, Longhai Wu, Guotao Shen +4

We present a novel simple yet effective algorithm for motion-based video frame interpolation. Existing motion-based interpolation methods typically rely on a pre-trained optical fl…

cs.AI2021★ 1 cited

ICAF: Iterative Contrastive Alignment Framework for Multimodal Abstractive Summarization

Zijian Zhang, Chang Shu, Youxin Chen +3

Integrating multimodal knowledge for abstractive summarization task is a work-in-progress research area, with present techniques inheriting fusion-then-generation paradigm. Due to…