activity
20182021
most citedAttentive Normalization for Conditional Image Generation

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

collaborators

6 papers

cs.CV20211 cited

Image Synthesis via Semantic Composition

Yi Wang, Lu Qi, Ying-Cong Chen +2

In this paper, we present a novel approach to synthesize realistic images based on their semantic layouts. It hypothesizes that for objects with similar appearance, they share simi…

cs.CV2021

Multi-Scale Aligned Distillation for Low-Resolution Detection

Lu Qi, Jason Kuen, Jiuxiang Gu +5

In instance-level detection tasks (e.g., object detection), reducing input resolution is an easy option to improve runtime efficiency. However, this option traditionally hurts the…

cs.CV20211 cited

Conditional Temporal Variational AutoEncoder for Action Video Prediction

Xiaogang Xu, Yi Wang, Liwei Wang +2

To synthesize a realistic action sequence based on a single human image, it is crucial to model both motion patterns and diversity in the action video. This paper proposes an Actio…

cs.CV20205 cited

Attentive Normalization for Conditional Image Generation

Yi Wang, Ying-Cong Chen, Xiangyu Zhang +2

Traditional convolution-based generative adversarial networks synthesize images based on hierarchical local operations, where long-range dependency relation is implicitly modeled w…

cs.CV2020

VCNet: A Robust Approach to Blind Image Inpainting

Yi Wang, Ying-Cong Chen, Xin Tao +1

Blind inpainting is a task to automatically complete visual contents without specifying masks for missing areas in an image. Previous works assume missing region patterns are known…

cs.CV2018

Scale-recurrent Network for Deep Image Deblurring

Xin Tao, Hongyun Gao, Yi Wang +3

In single image deblurring, the "coarse-to-fine" scheme, i.e. gradually restoring the sharp image on different resolutions in a pyramid, is very successful in both traditional opti…