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TAP-Net: Transport-and-Pack using Reinforcement Learning

Sep 03, 2020
Ruizhen Hu, Juzhan Xu, Bin Chen, Minglun Gong, Hao Zhang, Hui Huang

* ACM Transactions on Graphics 2020 

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Action2Motion: Conditioned Generation of 3D Human Motions

Jul 30, 2020
Chuan Guo, Xinxin Zuo, Sen Wang, Shihao Zou, Qingyao Sun, Annan Deng, Minglun Gong, Li Cheng

* 13 pages, ACM MultiMedia 2020 

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3D Human Shape Reconstruction from a Polarization Image

Jul 17, 2020
Shihao Zou, Xinxin Zuo, Yiming Qian, Sen Wang, Chi Xu, Minglun Gong, Li Cheng

* ECCV 2020 

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SparseFusion: Dynamic Human Avatar Modeling from Sparse RGBD Images

Jun 05, 2020
Xinxin Zuo, Sen Wang, Jiangbin Zheng, Weiwei Yu, Minglun Gong, Ruigang Yang, Li Cheng

* Accepted by TMM 

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Interlayer and Intralayer Scale Aggregation for Scale-invariant Crowd Counting

May 25, 2020
Mingjie Wang, Hao Cai, Jun Zhou, Minglun Gong


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Polarization Human Shape and Pose Dataset

Apr 30, 2020
Shihao Zou, Xinxin Zuo, Yiming Qian, Sen Wang, Chi Xu, Minglun Gong, Li Cheng


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ETNet: Error Transition Network for Arbitrary Style Transfer

Oct 29, 2019
Chunjin Song, Zhijie Wu, Yang Zhou, Minglun Gong, Hui Huang

* Accepted by NeurIPS 2019 

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Pair-wise Exchangeable Feature Extraction for Arbitrary Style Transfer

Nov 26, 2018
Zhijie Wu, Chunjin Song, Yang Zhou, Minglun Gong, Hui Huang


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DualGAN: Unsupervised Dual Learning for Image-to-Image Translation

Oct 09, 2018
Zili Yi, Hao Zhang, Ping Tan, Minglun Gong

* Accepted by ICCV 2017 

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Multi-scale Convolution Aggregation and Stochastic Feature Reuse for DenseNets

Oct 02, 2018
Mingjie Wang, Jun Zhou, Wendong Mao, Minglun Gong


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Semi-dense Stereo Matching using Dual CNNs

Oct 02, 2018
Wendong Mao, Mingjie Wang, Jun Zhou, Minglun Gong


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Full 3D Reconstruction of Transparent Objects

May 14, 2018
Bojian Wu, Yang Zhou, Yiming Qian, Minglun Gong, Hui Huang

* Accepted to SIGGRAPH 2018 

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Branched Generative Adversarial Networks for Multi-Scale Image Manifold Learning

Mar 22, 2018
Zili Yi, Zhiqin Chen, Hao Zhang, Xin Huang, Minglun Gong

* Submitted to ECCV 2018. 17 pages, 12 figures 

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