activity
20192021
most citedTowards Controllable and Photorealistic Region-wise Image Manipulation

2 citations · 2 across the 1 of their papers we have counts for

collaborators

6 papers

cs.CV20212 cited

Towards Controllable and Photorealistic Region-wise Image Manipulation

Ansheng You, Chenglin Zhou, Qixuan Zhang +1

Adaptive and flexible image editing is a desirable function of modern generative models. In this work, we present a generative model with auto-encoder architecture for per-region s…

cs.CV2020

Towards Efficient Scene Understanding via Squeeze Reasoning

Xiangtai Li, Xia Li, Ansheng You +5

Graph-based convolutional model such as non-local block has shown to be effective for strengthening the context modeling ability in convolutional neural networks (CNNs). However, i…

cs.CV2020

Semantically Multi-modal Image Synthesis

Zhen Zhu, Zhiliang Xu, Ansheng You +1

In this paper, we focus on semantically multi-modal image synthesis (SMIS) task, namely, generating multi-modal images at the semantic level. Previous work seeks to use multiple cl…

cs.CV2020

Semantic Flow for Fast and Accurate Scene Parsing

Xiangtai Li, Ansheng You, Zhen Zhu +4

In this paper, we focus on designing effective method for fast and accurate scene parsing. A common practice to improve the performance is to attain high resolution feature maps wi…

cs.CV2019

Global Aggregation then Local Distribution in Fully Convolutional Networks

Xiangtai Li, Li Zhang, Ansheng You +3

It has been widely proven that modelling long-range dependencies in fully convolutional networks (FCNs) via global aggregation modules is critical for complex scene understanding t…

cs.CV2019

Reprojection R-CNN: A Fast and Accurate Object Detector for 360° Images

Pengyu Zhao, Ansheng You, Yuanxing Zhang +3

360° images are usually represented in either equirectangular projection (ERP) or multiple perspective projections. Different from the flat 2D images, the detection task is challen…