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20152021
most citedPredicting Scene Parsing and Motion Dynamics in the Future

49 citations · 171 across the 11 of their papers we have counts for

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23 papers · 1 filter

cs.CV20212 cited

Video Salient Object Detection via Contrastive Features and Attention Modules

Yi-Wen Chen, Xiaojie Jin, Xiaohui Shen +1

Video salient object detection aims to find the most visually distinctive objects in a video. To explore the temporal dependencies, existing methods usually resort to recurrent neu…

cs.CV2021

DynOcc: Learning Single-View Depth from Dynamic Occlusion Cues

Yifan Wang, Linjie Luo, Xiaohui Shen +1

Recently, significant progress has been made in single-view depth estimation thanks to increasingly large and diverse depth datasets. However, these datasets are largely limited to…

cs.CV202010 cited

Human Motion Transfer from Poses in the Wild

Jian Ren, Menglei Chai, Sergey Tulyakov +3

In this paper, we tackle the problem of human motion transfer, where we synthesize novel motion video for a target person that imitates the movement from a reference video. It is a…

cs.CV2020

Anatomy-aware 3D Human Pose Estimation with Bone-based Pose Decomposition

Tianlang Chen, Chen Fang, Xiaohui Shen +3

In this work, we propose a new solution to 3D human pose estimation in videos. Instead of directly regressing the 3D joint locations, we draw inspiration from the human skeleton an…

cs.CV2019

EnlightenGAN: Deep Light Enhancement without Paired Supervision

Yifan Jiang, Xinyu Gong, Ding Liu +6

Deep learning-based methods have achieved remarkable success in image restoration and enhancement, but are they still competitive when there is a lack of paired training data? As o…

cs.CV2019

Fashion Editing with Adversarial Parsing Learning

Haoye Dong, Xiaodan Liang, Yixuan Zhang +6

Interactive fashion image manipulation, which enables users to edit images with sketches and color strokes, is an interesting research problem with great application value. Existin…