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Fine-grained Domain Adaptive Crowd Counting via Point-derived Segmentation


Aug 06, 2021
Yongtuo Liu, Dan Xu, Sucheng Ren, Hanjie Wu, Hongmin Cai, Shengfeng He

* 10 pages, 6 figures 

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Reducing Spatial Labeling Redundancy for Semi-supervised Crowd Counting


Aug 06, 2021
Yongtuo Liu, Sucheng Ren, Liangyu Chai, Hanjie Wu, Jing Qin, Dan Xu, Shengfeng He

* 8 pages, 6 figures 

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Learning Geometry-Guided Depth via Projective Modeling for Monocular 3D Object Detection


Jul 29, 2021
Yinmin Zhang, Xinzhu Ma, Shuai Yi, Jun Hou, Zhihui Wang, Wanli Ouyang, Dan Xu

* 16 pages, 11 figures 

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Cross-modal Consensus Network for Weakly Supervised Temporal Action Localization


Jul 27, 2021
Fa-Ting Hong, Jia-Chang Feng, Dan Xu, Ying Shan, Wei-Shi Zheng

* ACM International Conference on Multimedia, 2021 

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Leveraging Auxiliary Tasks with Affinity Learning for Weakly Supervised Semantic Segmentation


Jul 27, 2021
Lian Xu, Wanli Ouyang, Mohammed Bennamoun, Farid Boussaid, Ferdous Sohel, Dan Xu

* Accepted at ICCV 2021 

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Moving SLAM: Fully Unsupervised Deep Learning in Non-Rigid Scenes


Jun 01, 2021
Dan Xu, Andrea Vedaldi, Joao F. Henriques


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Sign-Agnostic CONet: Learning Implicit Surface Reconstructions by Sign-Agnostic Optimization of Convolutional Occupancy Networks


May 08, 2021
Jiapeng Tang, Jiabao Lei, Dan Xu, Feiying Ma, Kui Jia, Lei Zhang

* 18 pages; 14 figures; 5 tables 

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Learning Parallel Dense Correspondence from Spatio-Temporal Descriptors for Efficient and Robust 4D Reconstruction


Mar 30, 2021
Jiapeng Tang, Dan Xu, Kui Jia, Lei Zhang

* 15 pages, 11 figures, CVPR2021 

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Delving into Localization Errors for Monocular 3D Object Detection


Mar 30, 2021
Xinzhu Ma, Yinmin Zhang, Dan Xu, Dongzhan Zhou, Shuai Yi, Haojie Li, Wanli Ouyang

* CVPR'2021, code will be made available 

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Variational Structured Attention Networks for Deep Visual Representation Learning


Mar 05, 2021
Guanglei Yang, Paolo Rota, Xavier Alameda-Pineda, Dan Xu, Mingli Ding, Elisa Ricci


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NAST: Non-Autoregressive Spatial-Temporal Transformer for Time Series Forecasting


Feb 10, 2021
Kai Chen, Guang Chen, Dan Xu, Lijun Zhang, Yuyao Huang, Alois Knoll

* 10 pages, 4 figures 

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Probabilistic Graph Attention Network with Conditional Kernels for Pixel-Wise Prediction


Jan 08, 2021
Dan Xu, Xavier Alameda-Pineda, Wanli Ouyang, Elisa Ricci, Xiaogang Wang, Nicu Sebe

* Regular paper accepted at TPAMI 2020. arXiv admin note: text overlap with arXiv:1801.00524 

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Unsupervised Image Segmentation using Mutual Mean-Teaching


Dec 16, 2020
Zhichao Wu, Lei Guo, Hao Zhang, Dan Xu

* 5 figures, 9 pages 

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LAP-Net: Adaptive Features Sampling via Learning Action Progression for Online Action Detection


Nov 16, 2020
Sanqing Qu, Guang Chen, Dan Xu, Jinhu Dong, Fan Lu, Alois Knoll


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Scope Head for Accurate Localization in Object Detection


May 12, 2020
Geng Zhan, Dan Xu, Guo Lu, Wei Wu, Chunhua Shen, Wanli Ouyang


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Edge Guided GANs with Semantic Preserving for Semantic Image Synthesis


Mar 31, 2020
Hao Tang, Xiaojuan Qi, Dan Xu, Philip H. S. Torr, Nicu Sebe

* 40 pages, 29 figures 

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Multi-Channel Attention Selection GANs for Guided Image-to-Image Translation


Feb 03, 2020
Hao Tang, Dan Xu, Yan Yan, Jason J. Corso, Philip H. S. Torr, Nicu Sebe

* An extended version of a paper published in CVPR2019. arXiv admin note: substantial text overlap with arXiv:1904.06807 

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AttentionGAN: Unpaired Image-to-Image Translation using Attention-Guided Generative Adversarial Networks


Dec 28, 2019
Hao Tang, Hong Liu, Dan Xu, Philip H. S. Torr, Nicu Sebe

* An extended version of a paper published in IJCNN2019. arXiv admin note: substantial text overlap with arXiv:1903.12296. Add more results 

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Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation


Dec 27, 2019
Hao Tang, Dan Xu, Yan Yan, Philip H. S. Torr, Nicu Sebe

* 11 pages, 11 figures 

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Asymmetric Generative Adversarial Networks for Image-to-Image Translation


Dec 14, 2019
Hao Tang, Dan Xu, Hong Liu, Nicu Sebe

* An extended version of a paper published in ACCV2018. arXiv admin note: substantial text overlap with arXiv:1901.04604 

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Progressive Fusion for Unsupervised Binocular Depth Estimation using Cycled Networks


Sep 17, 2019
Andrea Pilzer, Stéphane Lathuilière, Dan Xu, Mihai Marian Puscas, Elisa Ricci, Nicu Sebe

* Accepted to TPAMI (SI RGB-D Vision), code https://github.com/andrea-pilzer/PFN-depth 

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Cycle In Cycle Generative Adversarial Networks for Keypoint-Guided Image Generation


Sep 14, 2019
Hao Tang, Dan Xu, Gaowen Liu, Wei Wang, Nicu Sebe, Yan Yan

* ACM MM 2019 
* 9 pages, 8 figures, accepted to ACM MM 2019 

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Structured Modeling of Joint Deep Feature and Prediction Refinement for Salient Object Detection


Sep 10, 2019
Yingyue Xu, Dan Xu, Xiaopeng Hong, Wanli Ouyang, Rongrong Ji, Min Xu, Guoying Zhao

* Accepted to ICCV 

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Geometry-Aware Video Object Detection for Static Cameras


Sep 06, 2019
Dan Xu, Weidi Xie, Andrew Zisserman

* Accepted at BMVC 2019 as ORAL 

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Dynamic Graph Message Passing Networks


Aug 19, 2019
Li Zhang, Dan Xu, Anurag Arnab, Philip H. S. Torr


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Structured Coupled Generative Adversarial Networks for Unsupervised Monocular Depth Estimation


Aug 15, 2019
Mihai Marian Puscas, Dan Xu, Andrea Pilzer, Nicu Sebe

* Accepted at 3DV 2019 as ORAL 

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