Google
Google Scholar
Semantic Scholar
IA Scholar
CiteSeerX
ORCIDBernt Schiele
Person information
- affiliation: Max Planck Institute for Informatics, Saarbücken, Germany
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2021
[j53]Xinzhe Li
, Jianqiang Huang, Yaoyao Liu, Qin Zhou, Shibao Zheng, Bernt Schiele, Qianru Sun:
Learning to teach and learn for semi-supervised few-shot image classification. Comput. Vis. Image Underst. 212: 103270 (2021)- [j52]Shanshan Zhang, Di Chen, Jian Yang, Bernt Schiele:
Guided Attention in CNNs for Occluded Pedestrian Detection and Re-identification. Int. J. Comput. Vis. 129(6): 1875-1892 (2021) - [j51]Dengxin Dai, Robby T. Tan, Vishal Patel, Jiri Matas, Bernt Schiele, Luc Van Gool:
Guest Editorial: Special Issue on "Computer Vision for All Seasons: Adverse Weather and Lighting Conditions". Int. J. Comput. Vis. 129(7): 2031-2033 (2021) - [j50]Max Maria Losch, Mario Fritz, Bernt Schiele:
Semantic Bottlenecks: Quantifying and Improving Inspectability of Deep Representations. Int. J. Comput. Vis. 129(11): 3136-3153 (2021) - [j49]Di Chen, Shanshan Zhang, Jian Yang, Bernt Schiele:
Norm-Aware Embedding for Efficient Person Search and Tracking. Int. J. Comput. Vis. 129(11): 3154-3168 (2021) - [c275]Yaoyao Liu, Bernt Schiele, Qianru Sun:
Adaptive Aggregation Networks for Class-Incremental Learning. CVPR 2021: 2544-2553 - [c274]Jiangxin Dong, Stefan Roth, Bernt Schiele:
Learning Spatially-Variant MAP Models for Non-Blind Image Deblurring. CVPR 2021: 4886-4895 - [c273]Apratim Bhattacharyya, Daniel Olmeda Reino, Mario Fritz, Bernt Schiele:
Euro-PVI: Pedestrian Vehicle Interactions in Dense Urban Centers. CVPR 2021: 6408-6417 - [c272]Moritz Böhle, Mario Fritz, Bernt Schiele:
Convolutional Dynamic Alignment Networks for Interpretable Classifications. CVPR 2021: 10029-10038 - [c271]Stephan Alaniz, Diego Marcos, Bernt Schiele, Zeynep Akata:
Learning Decision Trees Recurrently Through Communication. CVPR 2021: 13518-13527 - [c270]Yue Fan, Anna Kukleva, Bernt Schiele:
Revisiting Consistency Regularization for Semi-supervised Learning. GCPR 2021: 63-78 - [c269]Anurag Das, Yongqin Xian, Yang He, Bernt Schiele, Zeynep Akata:
(SP)2Net for Generalized Zero-Label Semantic Segmentation. GCPR 2021: 235-249 - [c268]Edgar Schönfeld, Vadim Sushko, Dan Zhang, Juergen Gall, Bernt Schiele, Anna Khoreva:
You Only Need Adversarial Supervision for Semantic Image Synthesis. ICLR 2021 - [c267]Qiuhong Ke, Mario Fritz, Bernt Schiele:
Future Moment Assessment for Action Query. WACV 2021: 3218-3227 - [i124]Keyang Zhou, Bharat Lal Bhatnagar, Bernt Schiele, Gerard Pons-Moll:
Adjoint Rigid Transform Network: Self-supervised Alignment of 3D Shapes. CoRR abs/2102.01161 (2021) - [i123]Jiangxin Dong, Stefan Roth, Bernt Schiele:
Deep Wiener Deconvolution: Wiener Meets Deep Learning for Image Deblurring. CoRR abs/2103.09962 (2021) - [i122]Moritz Böhle, Mario Fritz, Bernt Schiele:
Convolutional Dynamic Alignment Networks for Interpretable Classifications. CoRR abs/2104.00032 (2021) - [i121]David Stutz, Matthias Hein, Bernt Schiele:
Relating Adversarially Robust Generalization to Flat Minima. CoRR abs/2104.04448 (2021) - [i120]David Stutz, Nandhini Chandramoorthy, Matthias Hein, Bernt Schiele:
Random and Adversarial Bit Error Robustness: Energy-Efficient and Secure DNN Accelerators. CoRR abs/2104.08323 (2021) - [i119]Apratim Bhattacharyya, Daniel Olmeda Reino, Mario Fritz, Bernt Schiele:
Euro-PVI: Pedestrian Vehicle Interactions in Dense Urban Centers. CoRR abs/2106.12442 (2021) - [i118]Anna Kukleva, Hilde Kuehne, Bernt Schiele:
Generalized and Incremental Few-Shot Learning by Explicit Learning and Calibration without Forgetting. CoRR abs/2108.08165 (2021) - [i117]Moritz Böhle, Mario Fritz, Bernt Schiele:
Optimising for Interpretability: Convolutional Dynamic Alignment Networks. CoRR abs/2109.13004 (2021) - [i116]Farzaneh Rezaeianaran, Rakshith Shetty, Rahaf Aljundi, Daniel Olmeda Reino, Shanshan Zhang, Bernt Schiele:
Seeking Similarities over Differences: Similarity-based Domain Alignment for Adaptive Object Detection. CoRR abs/2110.01428 (2021) - [i115]Di Chen, Andreas Doering, Shanshan Zhang, Jian Yang, Juergen Gall, Bernt Schiele:
Keypoint Message Passing for Video-based Person Re-Identification. CoRR abs/2111.08279 (2021) - [i114]Yue Fan, Dengxin Dai, Bernt Schiele:
CoSSL: Co-Learning of Representation and Classifier for Imbalanced Semi-Supervised Learning. CoRR abs/2112.04564 (2021) - [i113]Yue Fan, Anna Kukleva, Bernt Schiele:
Revisiting Consistency Regularization for Semi-Supervised Learning. CoRR abs/2112.05825 (2021) - 2020
- [j48]Margret Keuper, Siyu Tang, Bjoern Andres, Thomas Brox, Bernt Schiele:
Motion Segmentation & Multiple Object Tracking by Correlation Co-Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 42(1): 140-153 (2020) - [j47]Seong Joon Oh, Rodrigo Benenson, Mario Fritz, Bernt Schiele:
Person Recognition in Personal Photo Collections. IEEE Trans. Pattern Anal. Mach. Intell. 42(1): 203-220 (2020) - [c266]Di Chen, Shanshan Zhang, Wanli Ouyang, Jian Yang, Bernt Schiele:
Hierarchical Online Instance Matching for Person Search. AAAI 2020: 10518-10525 - [c265]Xudong Hong, Rakshith Shetty, Asad B. Sayeed, Khushboo Mehra, Vera Demberg, Bernt Schiele:
Diverse and Relevant Visual Storytelling with Scene Graph Embeddings. CoNLL 2020: 420-430 - [c264]Edgar Schönfeld, Bernt Schiele, Anna Khoreva:
A U-Net Based Discriminator for Generative Adversarial Networks. CVPR 2020: 8204-8213 - [c263]Apratim Bhattacharyya, Shweta Mahajan, Mario Fritz, Bernt Schiele, Stefan Roth:
Normalizing Flows With Multi-Scale Autoregressive Priors. CVPR 2020: 8412-8421 - [c262]Yaoyao Liu, Yuting Su, An-An Liu, Bernt Schiele, Qianru Sun:
Mnemonics Training: Multi-Class Incremental Learning Without Forgetting. CVPR 2020: 12242-12251 - [c261]Di Chen, Shanshan Zhang, Jian Yang, Bernt Schiele:
Norm-Aware Embedding for Efficient Person Search. CVPR 2020: 12612-12621 - [c260]Max Maria Losch, Mario Fritz, Bernt Schiele:
Semantic Bottlenecks: Quantifying and Improving Inspectability of Deep Representations. GCPR 2020: 15-29 - [c259]Saurabh Sharma, Ning Yu, Mario Fritz, Bernt Schiele:
Long-Tailed Recognition Using Class-Balanced Experts. GCPR 2020: 86-100 - [c258]Yue Fan, Yongqin Xian, Max Maria Losch, Bernt Schiele:
Analyzing the Dependency of ConvNets on Spatial Information. GCPR 2020: 101-115 - [c257]Yazan Abu Farha, Qiuhong Ke, Bernt Schiele, Juergen Gall:
Long-Term Anticipation of Activities with Cycle Consistency. GCPR 2020: 159-173 - [c256]Apratim Bhattacharyya, Christoph-Nikolas Straehle, Mario Fritz, Bernt Schiele:
Haar Wavelet Based Block Autoregressive Flows for Trajectories. GCPR 2020: 275-288 - [c255]Yongqin Xian, Bruno Korbar, Matthijs Douze, Bernt Schiele, Zeynep Akata, Lorenzo Torresani:
Generalized Many-Way Few-Shot Video Classification. ECCV Workshops (6) 2020: 111-127 - [c254]Garrick Brazil, Gerard Pons-Moll, Xiaoming Liu, Bernt Schiele:
Kinematic 3D Object Detection in Monocular Video. ECCV (23) 2020: 135-152 - [c253]Yang He, Bernt Schiele, Mario Fritz:
Synthetic Convolutional Features for Improved Semantic Segmentation. ECCV Workshops (4) 2020: 320-336 - [c252]Yaoyao Liu, Bernt Schiele, Qianru Sun:
An Ensemble of Epoch-Wise Empirical Bayes for Few-Shot Learning. ECCV (16) 2020: 404-421 - [c251]Sukrut Rao, David Stutz, Bernt Schiele:
Adversarial Training Against Location-Optimized Adversarial Patches. ECCV Workshops (5) 2020: 429-448 - [c250]Rakshith Shetty, Mario Fritz, Bernt Schiele:
Towards Automated Testing and Robustification by Semantic Adversarial Data Generation. ECCV (2) 2020: 489-506 - [c249]Yang He, Shadi Rahimian, Bernt Schiele, Mario Fritz:
Segmentations-Leak: Membership Inference Attacks and Defenses in Semantic Image Segmentation. ECCV (23) 2020: 519-535 - [c248]Vadim Sushko, Edgar Schönfeld, Dan Zhang, Jürgen Gall, Bernt Schiele, Anna Khoreva:
3D Noise and Adversarial Supervision Is All You Need for Multi-modal Semantic Image Synthesis. ECCV Workshops (6) 2020: 554-558 - [c247]Tribhuvanesh Orekondy, Bernt Schiele, Mario Fritz:
Prediction Poisoning: Towards Defenses Against DNN Model Stealing Attacks. ICLR 2020 - [c246]David Stutz, Matthias Hein, Bernt Schiele:
Confidence-Calibrated Adversarial Training: Generalizing to Unseen Attacks. ICML 2020: 9155-9166 - [c245]Jiangxin Dong, Stefan Roth, Bernt Schiele:
Deep Wiener Deconvolution: Wiener Meets Deep Learning for Image Deblurring. NeurIPS 2020 - [c244]Wenjia Xu, Yongqin Xian, Jiuniu Wang, Bernt Schiele, Zeynep Akata:
Attribute Prototype Network for Zero-Shot Learning. NeurIPS 2020 - [i112]Yue Fan, Yongqin Xian, Max Maria Losch, Bernt Schiele:
Analyzing the Dependency of ConvNets on Spatial Information. CoRR abs/2002.01827 (2020) - [i111]Yaoyao Liu, An-An Liu, Yuting Su, Bernt Schiele, Qianru Sun:
Mnemonics Training: Multi-Class Incremental Learning without Forgetting. CoRR abs/2002.10211 (2020) - [i110]Edgar Schönfeld, Bernt Schiele, Anna Khoreva:
A U-Net Based Discriminator for Generative Adversarial Networks. CoRR abs/2002.12655 (2020) - [i109]Saurabh Sharma, Ning Yu, Mario Fritz, Bernt Schiele:
Long-Tailed Recognition Using Class-Balanced Experts. CoRR abs/2004.03706 (2020) - [i108]Shweta Mahajan, Apratim Bhattacharyya, Mario Fritz, Bernt Schiele, Stefan Roth:
Normalizing Flows with Multi-Scale Autoregressive Priors. CoRR abs/2004.03891 (2020) - [i107]Sukrut Rao, David Stutz, Bernt Schiele:
Adversarial Training against Location-Optimized Adversarial Patches. CoRR abs/2005.02313 (2020) - [i106]David Stutz, Nandhini Chandramoorthy, Matthias Hein, Bernt Schiele:
On Mitigating Random and Adversarial Bit Errors. CoRR abs/2006.13977 (2020) - [i105]Yongqin Xian, Bruno Korbar, Matthijs Douze, Bernt Schiele, Zeynep Akata, Lorenzo Torresani:
Generalized Many-Way Few-Shot Video Classification. CoRR abs/2007.04755 (2020) - [i104]Garrick Brazil, Gerard Pons-Moll, Xiaoming Liu, Bernt Schiele:
Kinematic 3D Object Detection in Monocular Video. CoRR abs/2007.09548 (2020) - [i103]Wenjia Xu, Yongqin Xian, Jiuniu Wang, Bernt Schiele, Zeynep Akata:
Attribute Prototype Network for Zero-Shot Learning. CoRR abs/2008.08290 (2020) - [i102]Yazan Abu Farha, Qiuhong Ke, Bernt Schiele, Juergen Gall:
Long-Term Anticipation of Activities with Cycle Consistency. CoRR abs/2009.01142 (2020) - [i101]Yang He, Bernt Schiele, Mario Fritz:
Synthetic Convolutional Features for Improved Semantic Segmentation. CoRR abs/2009.08849 (2020) - [i100]Apratim Bhattacharyya, Christoph-Nikolas Straehle, Mario Fritz, Bernt Schiele:
Haar Wavelet based Block Autoregressive Flows for Trajectories. CoRR abs/2009.09878 (2020) - [i99]Yaoyao Liu, Bernt Schiele, Qianru Sun:
Meta-Aggregating Networks for Class-Incremental Learning. CoRR abs/2010.05063 (2020) - [i98]Andreas Doering, Di Chen, Shanshan Zhang, Bernt Schiele, Juergen Gall:
PoseTrackReID: Dataset Description. CoRR abs/2011.06243 (2020) - [i97]Vadim Sushko, Edgar Schönfeld, Dan Zhang, Jürgen Gall, Bernt Schiele, Anna Khoreva:
You Only Need Adversarial Supervision for Semantic Image Synthesis. CoRR abs/2012.04781 (2020)
2010 – 2019
- 2019
- [j46]Anna Khoreva, Rodrigo Benenson, Eddy Ilg, Thomas Brox, Bernt Schiele:
Lucid Data Dreaming for Video Object Segmentation. Int. J. Comput. Vis. 127(9): 1175-1197 (2019) - [j45]Yongqin Xian, Christoph H. Lampert, Bernt Schiele, Zeynep Akata:
Zero-Shot Learning - A Comprehensive Evaluation of the Good, the Bad and the Ugly. IEEE Trans. Pattern Anal. Mach. Intell. 41(9): 2251-2265 (2019) - [c243]Yongqin Xian, Saurabh Sharma, Bernt Schiele, Zeynep Akata:
f-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning. CVPR Workshops 2019: 46-49 - [c242]Qianru Sun, Yaoyao Liu, Tat-Seng Chua, Bernt Schiele:
Meta-Transfer Learning for Few-Shot Learning. CVPR 2019: 403-412 - [c241]Tribhuvanesh Orekondy, Bernt Schiele, Mario Fritz:
Knockoff Nets: Stealing Functionality of Black-Box Models. CVPR 2019: 4954-4963 - [c240]David Stutz, Matthias Hein, Bernt Schiele:
Disentangling Adversarial Robustness and Generalization. CVPR 2019: 6976-6987 - [c239]Rakshith Shetty, Bernt Schiele, Mario Fritz:
Not Using the Car to See the Sidewalk - Quantifying and Controlling the Effects of Context in Classification and Segmentation. CVPR 2019: 8218-8226 - [c238]Yongqin Xian, Subhabrata Choudhury, Yang He, Bernt Schiele, Zeynep Akata:
Semantic Projection Network for Zero- and Few-Label Semantic Segmentation. CVPR 2019: 8256-8265 - [c237]Qiuhong Ke, Mario Fritz, Bernt Schiele:
Time-Conditioned Action Anticipation in One Shot. CVPR 2019: 9925-9934 - [c236]Yongqin Xian, Saurabh Sharma, Bernt Schiele, Zeynep Akata:
F-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning. CVPR 2019: 10275-10284 - [c235]Apratim Bhattacharyya, Mario Fritz, Bernt Schiele:
Bayesian Prediction of Future Street Scenes using Synthetic Likelihoods. ICLR (Poster) 2019 - [c234]Xinzhe Li, Qianru Sun, Yaoyao Liu, Qin Zhou, Shibao Zheng, Tat-Seng Chua, Bernt Schiele:
Learning to Self-Train for Semi-Supervised Few-Shot Classification. NeurIPS 2019: 10276-10286 - [p7]Seong Joon Oh, Bernt Schiele, Mario Fritz:
Towards Reverse-Engineering Black-Box Neural Networks. Explainable AI 2019: 121-144 - [i96]Yongqin Xian, Saurabh Sharma, Bernt Schiele, Zeynep Akata:
f-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning. CoRR abs/1903.10132 (2019) - [i95]Yaoyao Liu, Qianru Sun, An-An Liu, Yuting Su, Bernt Schiele, Tat-Seng Chua:
LCC: Learning to Customize and Combine Neural Networks for Few-Shot Learning. CoRR abs/1904.08479 (2019) - [i94]Liqian Ma, Qianru Sun, Bernt Schiele, Luc Van Gool:
A Novel BiLevel Paradigm for Image-to-Image Translation. CoRR abs/1904.09028 (2019) - [i93]Qianru Sun, Xinzhe Li, Yaoyao Liu, Shibao Zheng, Tat-Seng Chua, Bernt Schiele:
Learning to Self-Train for Semi-Supervised Few-Shot Classification. CoRR abs/1906.00562 (2019) - [i92]Tribhuvanesh Orekondy, Bernt Schiele, Mario Fritz:
Prediction Poisoning: Utility-Constrained Defenses Against Model Stealing Attacks. CoRR abs/1906.10908 (2019) - [i91]Max Maria Losch, Mario Fritz, Bernt Schiele:
Interpretability Beyond Classification Output: Semantic Bottleneck Networks. CoRR abs/1907.10882 (2019) - [i90]Apratim Bhattacharyya, Michael Hanselmann, Mario Fritz, Bernt Schiele, Christoph-Nikolas Straehle:
Conditional Flow Variational Autoencoders for Structured Sequence Prediction. CoRR abs/1908.09008 (2019) - [i89]Apratim Bhattacharyya, Mario Fritz, Bernt Schiele:
"Best-of-Many-Samples" Distribution Matching. CoRR abs/1909.12598 (2019) - [i88]Qianru Sun, Yaoyao Liu, Zhaozheng Chen, Tat-Seng Chua, Bernt Schiele:
Meta-Transfer Learning through Hard Tasks. CoRR abs/1910.03648 (2019) - [i87]David Stutz, Matthias Hein, Bernt Schiele:
Confidence-Calibrated Adversarial Training: Towards Robust Models Generalizing Beyond the Attack Used During Training. CoRR abs/1910.06259 (2019) - [i86]Yang He, Shadi Rahimian, Bernt Schiele, Mario Fritz:
Segmentations-Leak: Membership Inference Attacks and Defenses in Semantic Image Segmentation. CoRR abs/1912.09685 (2019) - 2018
- [j44]Shanshan Zhang, Rodrigo Benenson, Mohamed Omran, Jan Hendrik Hosang, Bernt Schiele:
Towards Reaching Human Performance in Pedestrian Detection. IEEE Trans. Pattern Anal. Mach. Intell. 40(4): 973-986 (2018) - [j43]Maksim Lapin, Matthias Hein, Bernt Schiele:
Analysis and Optimization of Loss Functions for Multiclass, Top-k, and Multilabel Classification. IEEE Trans. Pattern Anal. Mach. Intell. 40(7): 1533-1554 (2018) - [c233]Mohamed Omran, Christoph Lassner, Gerard Pons-Moll, Peter V. Gehler, Bernt Schiele:
Neural Body Fitting: Unifying Deep Learning and Model Based Human Pose and Shape Estimation. 3DV 2018: 484-494 - [c232]Apratim Bhattacharyya, Mateusz Malinowski, Bernt Schiele, Mario Fritz:
Long-Term Image Boundary Prediction. AAAI 2018: 2720-2729 - [c231]Anna Khoreva, Anna Rohrbach, Bernt Schiele:
Video Object Segmentation with Language Referring Expressions. ACCV (4) 2018: 123-141 - [c230]Lukás Neumann, Michelle Karg, Shanshan Zhang, Christian Scharfenberger, Eric Piegert, Sarah Mistr, Olga Prokofyeva, Robert Thiel, Andrea Vedaldi, Andrew Zisserman, Bernt Schiele:
NightOwls: A Pedestrians at Night Dataset. ACCV (1) 2018: 691-705 - [c229]Liqian Ma, Qianru Sun, Stamatios Georgoulis, Luc Van Gool, Bernt Schiele, Mario Fritz:
Disentangled Person Image Generation. CVPR 2018: 99-108 - [c228]Mihai Fieraru, Anna Khoreva, Leonid Pishchulin, Bernt Schiele:
Learning to Refine Human Pose Estimation. CVPR Workshops 2018: 205-214 - [c227]Apratim Bhattacharyya, Mario Fritz, Bernt Schiele:
Long-Term On-Board Prediction of People in Traffic Scenes Under Uncertainty. CVPR 2018: 4194-4202 - [c226]Qianru Sun, Liqian Ma, Seong Joon Oh, Luc Van Gool, Bernt Schiele, Mario Fritz:
Natural and Effective Obfuscation by Head Inpainting. CVPR 2018: 5050-5059 - [c225]Mykhaylo Andriluka, Umar Iqbal, Eldar Insafutdinov, Leonid Pishchulin, Anton Milan, Juergen Gall, Bernt Schiele:
PoseTrack: A Benchmark for Human Pose Estimation and Tracking. CVPR 2018: 5167-5176 - [c224]Yongqin Xian, Tobias Lorenz, Bernt Schiele, Zeynep Akata:
Feature Generating Networks for Zero-Shot Learning. CVPR 2018: 5542-5551 - [c223]Shanshan Zhang, Jian Yang, Bernt Schiele:
Occluded Pedestrian Detection Through Guided Attention in CNNs. CVPR 2018: 6995-7003 - [c222]Tribhuvanesh Orekondy, Mario Fritz, Bernt Schiele:
Connecting Pixels to Privacy and Utility: Automatic Redaction of Private Information in Images. CVPR 2018: 8466-8475 - [c221]Apratim Bhattacharyya, Bernt Schiele, Mario Fritz:
Accurate and Diverse Sampling of Sequences Based on a "Best of Many" Sample Objective. CVPR 2018: 8485-8493 - [c220]Dong Huk Park, Lisa Anne Hendricks, Zeynep Akata, Anna Rohrbach, Bernt Schiele, Trevor Darrell, Marcus Rohrbach:
Multimodal Explanations: Justifying Decisions and Pointing to the Evidence. CVPR 2018: 8779-8788 - [c219]Anna Khoreva, Anna Rohrbach, Bernt Schiele:
Video Object Segmentation with Referring Expressions. ECCV Workshops (4) 2018: 7-12 - [c218]Yang He, Bernt Schiele, Mario Fritz:
Diverse Conditional Image Generation by Stochastic Regression with Latent Drop-Out Codes. ECCV (16) 2018: 422-437 - [c217]Qianru Sun, Ayush Tewari, Weipeng Xu, Mario Fritz, Christian Theobalt, Bernt Schiele:
A Hybrid Model for Identity Obfuscation by Face Replacement. ECCV (1) 2018: 570-586 - [c216]Seong Joon Oh, Max Augustin, Mario Fritz, Bernt Schiele:
Towards Reverse-Engineering Black-Box Neural Networks. ICLR (Poster) 2018 - [c215]Nelson Mukuze, Anna Rohrbach, Vera Demberg, Bernt Schiele:
A vision-grounded dataset for predicting typical locations for verbs. LREC 2018 - [c214]Rakshith Shetty, Mario Fritz, Bernt Schiele:
Adversarial Scene Editing: Automatic Object Removal from Weak Supervision. NeurIPS 2018: 7717-7727 - [c213]Rakshith Shetty, Bernt Schiele, Mario Fritz:
A4NT: Author Attribute Anonymity by Adversarial Training of Neural Machine Translation. USENIX Security Symposium 2018: 1633-1650 - [i85]Dong Huk Park, Lisa Anne Hendricks, Zeynep Akata, Anna Rohrbach, Bernt Schiele, Trevor Darrell, Marcus Rohrbach:
Multimodal Explanations: Justifying Decisions and Pointing to the Evidence. CoRR abs/1802.08129 (2018) - [i84]Anna Khoreva, Anna Rohrbach, Bernt Schiele:
Video Object Segmentation with Language Referring Expressions. CoRR abs/1803.08006 (2018) - [i83]Qianru Sun, Ayush Tewari, Weipeng Xu, Mario Fritz, Christian Theobalt, Bernt Schiele:
A Hybrid Model for Identity Obfuscation by Face Replacement. CoRR abs/1804.04779 (2018) - [i82]Mihai Fieraru, Anna Khoreva, Leonid Pishchulin, Bernt Schiele:
Learning to Refine Human Pose Estimation. CoRR abs/1804.07909 (2018) - [i81]Tribhuvanesh Orekondy, Seong Joon Oh, Bernt Schiele, Mario Fritz:
Understanding and Controlling User Linkability in Decentralized Learning. CoRR abs/1805.05838 (2018) - [i80]Rakshith Shetty, Mario Fritz, Bernt Schiele:
Adversarial Scene Editing: Automatic Object Removal from Weak Supervision. CoRR abs/1806.01911 (2018) - [i79]Apratim Bhattacharyya, Bernt Schiele, Mario Fritz:
Accurate and Diverse Sampling of Sequences based on a "Best of Many" Sample Objective. CoRR abs/1806.07772 (2018) - [i78]Yang He, Bernt Schiele, Mario Fritz:
Diverse Conditional Image Generation by Stochastic Regression with Latent Drop-Out Codes. CoRR abs/1808.01121 (2018) - [i77]Mohamed Omran, Christoph Lassner, Gerard Pons-Moll, Peter V. Gehler, Bernt Schiele:
Neural Body Fitting: Unifying Deep Learning and Model-Based Human Pose and Shape Estimation. CoRR abs/1808.05942 (2018) - [i76]Apratim Bhattacharyya, Mario Fritz, Bernt Schiele:
Bayesian Prediction of Future Street Scenes using Synthetic Likelihoods. CoRR abs/1810.00746 (2018) - [i75]Haoran Wang, Yue Fan, Zexin Wang, Licheng Jiao, Bernt Schiele:
Parameter-Free Spatial Attention Network for Person Re-Identification. CoRR abs/1811.12150 (2018) - [i74]David Stutz, Matthias Hein, Bernt Schiele:
Disentangling Adversarial Robustness and Generalization. CoRR abs/1812.00740 (2018) - [i73]