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Generalized and Incremental Few-Shot Learning by Explicit Learning and Calibration without Forgetting


Aug 18, 2021
Anna Kukleva, Hilde Kuehne, Bernt Schiele

* ICCV 2021 

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Euro-PVI: Pedestrian Vehicle Interactions in Dense Urban Centers


Jun 22, 2021
Apratim Bhattacharyya, Daniel Olmeda Reino, Mario Fritz, Bernt Schiele

* To appear at CVPR 2021 

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Random and Adversarial Bit Error Robustness: Energy-Efficient and Secure DNN Accelerators


Apr 16, 2021
David Stutz, Nandhini Chandramoorthy, Matthias Hein, Bernt Schiele

* arXiv admin note: substantial text overlap with arXiv:2006.13977 

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Relating Adversarially Robust Generalization to Flat Minima


Apr 09, 2021
David Stutz, Matthias Hein, Bernt Schiele


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Convolutional Dynamic Alignment Networks for Interpretable Classifications


Mar 31, 2021
Moritz Böhle, Mario Fritz, Bernt Schiele

* Accepted at CVRP 2021 

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Deep Wiener Deconvolution: Wiener Meets Deep Learning for Image Deblurring


Mar 18, 2021
Jiangxin Dong, Stefan Roth, Bernt Schiele

* Accepted to NeurIPS 2020 as an oral presentation. Project page: https://gitlab.mpi-klsb.mpg.de/jdong/dwdn 

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Adjoint Rigid Transform Network: Self-supervised Alignment of 3D Shapes


Feb 01, 2021
Keyang Zhou, Bharat Lal Bhatnagar, Bernt Schiele, Gerard Pons-Moll


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You Only Need Adversarial Supervision for Semantic Image Synthesis


Dec 08, 2020
Vadim Sushko, Edgar Schönfeld, Dan Zhang, Juergen Gall, Bernt Schiele, Anna Khoreva


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PoseTrackReID: Dataset Description


Nov 12, 2020
Andreas Doering, Di Chen, Shanshan Zhang, Bernt Schiele, Juergen Gall


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Meta-Aggregating Networks for Class-Incremental Learning


Oct 10, 2020
Yaoyao Liu, Bernt Schiele, Qianru Sun

* Code: https://github.com/yaoyao-liu/class-incremental-learning 

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Haar Wavelet based Block Autoregressive Flows for Trajectories


Sep 21, 2020
Apratim Bhattacharyya, Christoph-Nikolas Straehle, Mario Fritz, Bernt Schiele

* German Conference on Pattern Recognition, 2020 (oral) 

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Synthetic Convolutional Features for Improved Semantic Segmentation


Sep 18, 2020
Yang He, Bernt Schiele, Mario Fritz

* ECCV 2020 Workshop on Assistive Computer Vision and Robotics 

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Long-Term Anticipation of Activities with Cycle Consistency


Sep 02, 2020
Yazan Abu Farha, Qiuhong Ke, Bernt Schiele, Juergen Gall

* GCPR 2020 

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Attribute Prototype Network for Zero-Shot Learning


Aug 20, 2020
Wenjia Xu, Yongqin Xian, Jiuniu Wang, Bernt Schiele, Zeynep Akata


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Kinematic 3D Object Detection in Monocular Video


Jul 19, 2020
Garrick Brazil, Gerard Pons-Moll, Xiaoming Liu, Bernt Schiele

* To appear in ECCV 2020 

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Generalized Many-Way Few-Shot Video Classification


Jul 09, 2020
Yongqin Xian, Bruno Korbar, Matthijs Douze, Bernt Schiele, Zeynep Akata, Lorenzo Torresani


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On Mitigating Random and Adversarial Bit Errors


Jun 24, 2020
David Stutz, Nandhini Chandramoorthy, Matthias Hein, Bernt Schiele


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Adversarial Training against Location-Optimized Adversarial Patches


May 05, 2020
Sukrut Rao, David Stutz, Bernt Schiele

* 18 pages, 6 tables, 4 figures, 2 algorithms 

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Normalizing Flows with Multi-Scale Autoregressive Priors


Apr 08, 2020
Shweta Mahajan, Apratim Bhattacharyya, Mario Fritz, Bernt Schiele, Stefan Roth

* To appear in CVPR 2020 

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Long-Tailed Recognition Using Class-Balanced Experts


Apr 07, 2020
Saurabh Sharma, Ning Yu, Mario Fritz, Bernt Schiele

* 18 pages, 5 figures, 9 tables 

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A U-Net Based Discriminator for Generative Adversarial Networks


Feb 28, 2020
Edgar Schönfeld, Bernt Schiele, Anna Khoreva

* Accepted at CVPR 2020 

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Mnemonics Training: Multi-Class Incremental Learning without Forgetting


Feb 26, 2020
Yaoyao Liu, An-An Liu, Yuting Su, Bernt Schiele, Qianru Sun

* To appear in CVPR 2020. The camera-ready version with supplementary experiment results will come on 23rd March. Code will come soon at https://github.com/yaoyao-liu/mnemonics 

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Analyzing the Dependency of ConvNets on Spatial Information


Feb 05, 2020
Yue Fan, Yongqin Xian, Max Maria Losch, Bernt Schiele


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Segmentations-Leak: Membership Inference Attacks and Defenses in Semantic Image Segmentation


Dec 20, 2019
Yang He, Shadi Rahimian, Bernt Schiele, Mario Fritz


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Confidence-Calibrated Adversarial Training and Detection: More Robust Models Generalizing Beyond the Attack Used During Training


Nov 25, 2019
David Stutz, Matthias Hein, Bernt Schiele


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Confidence-Calibrated Adversarial Training: Towards Robust Models Generalizing Beyond the Attack Used During Training


Oct 14, 2019
David Stutz, Matthias Hein, Bernt Schiele


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Meta-Transfer Learning through Hard Tasks


Oct 07, 2019
Qianru Sun, Yaoyao Liu, Zhaozheng Chen, Tat-Seng Chua, Bernt Schiele

* An extended version of a paper published in CVPR2019. Under review. arXiv admin note: substantial text overlap with arXiv:1812.02391 

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"Best-of-Many-Samples" Distribution Matching


Sep 27, 2019
Apratim Bhattacharyya, Mario Fritz, Bernt Schiele


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