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USIS: Unsupervised Semantic Image Synthesis


Sep 29, 2021
George Eskandar, Mohamed Abdelsamad, Karim Armanious, Bin Yang


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Improving Uncertainty of Deep Learning-based Object Classification on Radar Spectra using Label Smoothing


Sep 27, 2021
Kanil Patel, William Beluch, Kilian Rambach, Michael Pfeiffer, Bin Yang

* Submitted to IEEE Radar Conference 2022 

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Estimation of Bivariate Structural Causal Models by Variational Gaussian Process Regression Under Likelihoods Parametrised by Normalising Flows


Sep 06, 2021
Nico Reick, Felix Wiewel, Alexander Bartler, Bin Yang


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A Deep Learning-based Quality Assessment and Segmentation System with a Large-scale Benchmark Dataset for Optical Coherence Tomographic Angiography Image


Jul 22, 2021
Yufei Wang, Yiqing Shen, Meng Yuan, Jing Xu, Bin Yang, Chi Liu, Wenjia Cai, Weijing Cheng, Wei Wang


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LAPNet: Non-rigid Registration derived in k-space for Magnetic Resonance Imaging


Jul 19, 2021
Thomas Küstner, Jiazhen Pan, Haikun Qi, Gastao Cruz, Christopher Gilliam, Thierry Blu, Bin Yang, Sergios Gatidis, René Botnar, Claudia Prieto


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Unsupervised Path Representation Learning with Curriculum Negative Sampling


Jun 17, 2021
Sean Bin Yang, Chenjuan Guo, Jilin Hu, Jian Tang, Bin Yang

* This paper has been accepted by IJCAI-21 

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Investigation of Uncertainty of Deep Learning-based Object Classification on Radar Spectra


Jun 01, 2021
Kanil Patel, William Beluch, Kilian Rambach, Adriana-Eliza Cozma, Michael Pfeiffer, Bin Yang

* IEEE Radar Conference 2021 
* 6 pages 

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Contrastive Learning and Self-Training for Unsupervised Domain Adaptation in Semantic Segmentation


May 05, 2021
Robert A. Marsden, Alexander Bartler, Mario Döbler, Bin Yang


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MT3: Meta Test-Time Training for Self-Supervised Test-Time Adaption


Mar 30, 2021
Alexander Bartler, Andre Bühler, Felix Wiewel, Mario Döbler, Bin Yang


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Graph Attention Recurrent Neural Networks for Correlated Time Series Forecasting -- Full version


Mar 22, 2021
Razvan-Gabriel Cirstea, Chenjuan Guo, Bin Yang


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Uncertainty-Based Biological Age Estimation of Brain MRI Scans


Mar 15, 2021
Karim Armanious, Sherif Abdulatif, Wenbin Shi, Tobias Hepp, Sergios Gatidis, Bin Yang

* Accepted in ICASSP 2021. 5 pages, 4 figures. arXiv admin note: substantial text overlap with arXiv:2009.10765 

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Anomaly Detection Based on Selection and Weighting in Latent Space


Mar 08, 2021
Yiwen Liao, Alexander Bartler, Bin Yang


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Condensed Composite Memory Continual Learning


Feb 19, 2021
Felix Wiewel, Bin Yang

* Paper submitted for review to IJCNN2021 

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SLPC: a VRNN-based approach for stochastic lidar prediction and completion in autonomous driving


Feb 19, 2021
George Eskandar, Alexander Braun, Martin Meinke, Karim Armanious, Bin Yang


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End-to-end Interpretable Neural Motion Planner


Jan 17, 2021
Wenyuan Zeng, Wenjie Luo, Simon Suo, Abbas Sadat, Bin Yang, Sergio Casas, Raquel Urtasun

* CVPR 2019 (Oral) 

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PLUME: Efficient 3D Object Detection from Stereo Images


Jan 17, 2021
Yan Wang, Bin Yang, Rui Hu, Ming Liang, Raquel Urtasun


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Auto4D: Learning to Label 4D Objects from Sequential Point Clouds


Jan 17, 2021
Bin Yang, Min Bai, Ming Liang, Wenyuan Zeng, Raquel Urtasun


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Diverse Complexity Measures for Dataset Curation in Self-driving


Jan 16, 2021
Abbas Sadat, Sean Segal, Sergio Casas, James Tu, Bin Yang, Raquel Urtasun, Ersin Yumer

* 13 pages 

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Learning Joint 2D-3D Representations for Depth Completion


Dec 22, 2020
Yun Chen, Bin Yang, Ming Liang, Raquel Urtasun

* ICCV 2019 

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Multi-Task Multi-Sensor Fusion for 3D Object Detection


Dec 22, 2020
Ming Liang, Bin Yang, Yun Chen, Rui Hu, Raquel Urtasun

* CVPR 2019 

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Fast and Furious: Real Time End-to-End 3D Detection, Tracking and Motion Forecasting with a Single Convolutional Net


Dec 22, 2020
Wenjie Luo, Bin Yang, Raquel Urtasun

* CVPR 2018 Oral 

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HDNET: Exploiting HD Maps for 3D Object Detection


Dec 21, 2020
Bin Yang, Ming Liang, Raquel Urtasun

* Spotlight paper at 2nd Conference on Robot Learning (CoRL 2018) 

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Deep Continuous Fusion for Multi-Sensor 3D Object Detection


Dec 20, 2020
Ming Liang, Bin Yang, Shenlong Wang, Raquel Urtasun

* ECCV 2018 

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Recovering and Simulating Pedestrians in the Wild


Nov 16, 2020
Ze Yang, Siva Manivasagam, Ming Liang, Bin Yang, Wei-Chiu Ma, Raquel Urtasun

* CoRL 2020 

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Perceive, Attend, and Drive: Learning Spatial Attention for Safe Self-Driving


Nov 02, 2020
Bob Wei, Mengye Ren, Wenyuan Zeng, Ming Liang, Bin Yang, Raquel Urtasun


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Feature Selection Using Batch-Wise Attenuation and Feature Mask Normalization


Oct 26, 2020
Yiwen Liao, Raphaël Latty, Bin Yang


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Investigating Cross-Domain Losses for Speech Enhancement


Oct 20, 2020
Sherif Abdulatif, Karim Armanious, Jayasankar T. Sajeev, Karim Guirguis, Bin Yang

* 5 pages, 3 figures and 2 tables. Submitted to ICASSP 2021 

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Age-Net: An MRI-Based Iterative Framework for Biological Age Estimation


Sep 22, 2020
Karim Armanious, Sherif Abdulatif, Wenbin Shi, Shashank Salian, Thomas Küstner, Daniel Weiskopf, Tobias Hepp, Sergios Gatidis, Bin Yang

* 10 pages, 11 figures, 2 tables 

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Actor-Action Video Classification CSC 249/449 Spring 2020 Challenge Report


Aug 18, 2020
Jing Shi, Zhiheng Li, Haitian Zheng, Yihang Xu, Tianyou Xiao, Weitao Tan, Xiaoning Guo, Sizhe Li, Bin Yang, Zhexin Xu, Ruitao Lin, Zhongkai Shangguan, Yue Zhao, Jingwen Wang, Rohan Sharma, Surya Iyer, Ajinkya Deshmukh, Raunak Mahalik, Srishti Singh, Jayant G Rohra, Yipeng Zhang, Tongyu Yang, Xuan Wen, Ethan Fahnestock, Bryce Ikeda, Ian Lawson, Alan Finkelstein, Kehao Guo, Richard Magnotti, Andrew Sexton, Jeet Ketan Thaker, Yiyang Su, Chenliang Xu


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V2VNet: Vehicle-to-Vehicle Communication for Joint Perception and Prediction


Aug 17, 2020
Tsun-Hsuan Wang, Sivabalan Manivasagam, Ming Liang, Bin Yang, Wenyuan Zeng, James Tu, Raquel Urtasun

* ECCV 2020 (Oral) 

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