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ORCIDBernt Schiele
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- affiliation: Max Planck Institute for Informatics, Saarbücken, Germany
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2020 – today
- 2022
[j54]Qianru Sun
, Yaoyao Liu, Zhaozheng Chen, Tat-Seng Chua, Bernt Schiele:
Meta-Transfer Learning Through Hard Tasks. IEEE Trans. Pattern Anal. Mach. Intell. 44(3): 1443-1456 (2022)- [i137]Yong Guo, David Stutz, Bernt Schiele:
Improving Corruption and Adversarial Robustness by Enhancing Weak Subnets. CoRR abs/2201.12765 (2022) - [i136]Zetong Yang, Li Jiang, Yanan Sun, Bernt Schiele, Jiaya Jia:
A Unified Query-based Paradigm for Point Cloud Understanding. CoRR abs/2203.01252 (2022) - [i135]Wenjia Xu, Yongqin Xian, Jiuniu Wang, Bernt Schiele, Zeynep Akata:
VGSE: Visually-Grounded Semantic Embeddings for Zero-Shot Learning. CoRR abs/2203.10444 (2022) - [i134]Pei Wang, Zhaowei Cai, Hao Yang, Gurumurthy Swaminathan, Nuno Vasconcelos, Bernt Schiele, Stefano Soatto:
Omni-DETR: Omni-Supervised Object Detection with Transformers. CoRR abs/2203.16089 (2022) - [i133]Wenjia Xu, Yongqin Xian, Jiuniu Wang, Bernt Schiele, Zeynep Akata:
Attribute Prototype Network for Any-Shot Learning. CoRR abs/2204.01208 (2022) - [i132]Haiyang Wang, Shaoshuai Shi, Ze Yang, Rongyao Fang, Qi Qian, Hongsheng Li, Bernt Schiele, Liwei Wang:
RBGNet: Ray-based Grouping for 3D Object Detection. CoRR abs/2204.02251 (2022) - [i131]Nils Philipp Walter, David Stutz, Bernt Schiele:
On Fragile Features and Batch Normalization in Adversarial Training. CoRR abs/2204.12393 (2022) - [i130]Shenjian Gong, Shanshan Zhang, Jian Yang, Dengxin Dai, Bernt Schiele:
Bi-level Alignment for Cross-Domain Crowd Counting. CoRR abs/2205.05844 (2022) - [i129]Yue Zhao, Yantao Shen, Yuanjun Xiong, Shuo Yang, Wei Xia, Zhuowen Tu, Bernt Schiele, Stefano Soatto:
ELODI: Ensemble Logit Difference Inhibition for Positive-Congruent Training. CoRR abs/2205.06265 (2022) - [i128]Yidong Wang, Hao Chen, Qiang Heng, Wenxin Hou, Yue Fan, Zhen Wu, Marios Savvides, Takahiro Shinozaki, Bhiksha Raj, Bernt Schiele:
FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning. CoRR abs/2205.07246 (2022) - [i127]Moritz Böhle, Mario Fritz, Bernt Schiele:
B-cos Networks: Alignment is All We Need for Interpretability. CoRR abs/2205.10268 (2022) - [i126]Sukrut Rao, Moritz Böhle, Bernt Schiele:
Towards Better Understanding Attribution Methods. CoRR abs/2205.10435 (2022) - [i125]Tao Sun, Mattia Segù, Janis Postels, Yuxuan Wang, Luc Van Gool, Bernt Schiele, Federico Tombari, Fisher Yu:
SHIFT: A Synthetic Driving Dataset for Continuous Multi-Task Domain Adaptation. CoRR abs/2206.08367 (2022) - 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) - [c281]Yaoyao Liu, Bernt Schiele, Qianru Sun:
Adaptive Aggregation Networks for Class-Incremental Learning. CVPR 2021: 2544-2553 - [c280]Jiangxin Dong, Stefan Roth, Bernt Schiele:
Learning Spatially-Variant MAP Models for Non-Blind Image Deblurring. CVPR 2021: 4886-4895 - [c279]Apratim Bhattacharyya, Daniel Olmeda Reino, Mario Fritz, Bernt Schiele:
Euro-PVI: Pedestrian Vehicle Interactions in Dense Urban Centers. CVPR 2021: 6408-6417 - [c278]Moritz Böhle, Mario Fritz, Bernt Schiele:
Convolutional Dynamic Alignment Networks for Interpretable Classifications. CVPR 2021: 10029-10038 - [c277]Stephan Alaniz, Diego Marcos, Bernt Schiele, Zeynep Akata:
Learning Decision Trees Recurrently Through Communication. CVPR 2021: 13518-13527 - [c276]Yue Fan, Anna Kukleva, Bernt Schiele:
Revisiting Consistency Regularization for Semi-supervised Learning. GCPR 2021: 63-78 - [c275]Anurag Das, Yongqin Xian, Yang He, Bernt Schiele, Zeynep Akata:
(SP)2Net for Generalized Zero-Label Semantic Segmentation. GCPR 2021: 235-249 - [c274]David Stutz, Matthias Hein, Bernt Schiele:
Relating Adversarially Robust Generalization to Flat Minima. ICCV 2021: 7787-7797 - [c273]Anna Kukleva, Hilde Kuehne, Bernt Schiele:
Generalized and Incremental Few-Shot Learning by Explicit Learning and Calibration without Forgetting. ICCV 2021: 9000-9009 - [c272]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. ICCV 2021: 9184-9193 - [c271]Edgar Schönfeld, Vadim Sushko, Dan Zhang, Juergen Gall, Bernt Schiele, Anna Khoreva:
You Only Need Adversarial Supervision for Semantic Image Synthesis. ICLR 2021 - [c270]David Stutz, Nandhini Chandramoorthy, Matthias Hein, Bernt Schiele:
Bit Error Robustness for Energy-Efficient DNN Accelerators. MLSys 2021 - [c269]Yaoyao Liu, Bernt Schiele, Qianru Sun:
RMM: Reinforced Memory Management for Class-Incremental Learning. NeurIPS 2021: 3478-3490 - [c268]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) - [c267]Di Chen, Shanshan Zhang, Wanli Ouyang, Jian Yang, Bernt Schiele:
Hierarchical Online Instance Matching for Person Search. AAAI 2020: 10518-10525 - [c266]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 - [c265]Edgar Schönfeld, Bernt Schiele, Anna Khoreva:
A U-Net Based Discriminator for Generative Adversarial Networks. CVPR 2020: 8204-8213 - [c264]Apratim Bhattacharyya, Shweta Mahajan, Mario Fritz, Bernt Schiele, Stefan Roth:
Normalizing Flows With Multi-Scale Autoregressive Priors. CVPR 2020: 8412-8421 - [c263]Yaoyao Liu, Yuting Su, An-An Liu, Bernt Schiele, Qianru Sun:
Mnemonics Training: Multi-Class Incremental Learning Without Forgetting. CVPR 2020: 12242-12251 - [c262]Di Chen, Shanshan Zhang, Jian Yang, Bernt Schiele:
Norm-Aware Embedding for Efficient Person Search. CVPR 2020: 12612-12621 - [c261]Max Maria Losch, Mario Fritz, Bernt Schiele:
Semantic Bottlenecks: Quantifying and Improving Inspectability of Deep Representations. GCPR 2020: 15-29 - [c260]Saurabh Sharma, Ning Yu, Mario Fritz, Bernt Schiele:
Long-Tailed Recognition Using Class-Balanced Experts. GCPR 2020: 86-100 - [c259]Yue Fan, Yongqin Xian, Max Maria Losch, Bernt Schiele:
Analyzing the Dependency of ConvNets on Spatial Information. GCPR 2020: 101-115 - [c258]Yazan Abu Farha, Qiuhong Ke, Bernt Schiele, Juergen Gall:
Long-Term Anticipation of Activities with Cycle Consistency. GCPR 2020: 159-173 - [c257]Apratim Bhattacharyya, Christoph-Nikolas Straehle, Mario Fritz, Bernt Schiele:
Haar Wavelet Based Block Autoregressive Flows for Trajectories. GCPR 2020: 275-288 - [c256]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 - [c255]Garrick Brazil, Gerard Pons-Moll, Xiaoming Liu, Bernt Schiele:
Kinematic 3D Object Detection in Monocular Video. ECCV (23) 2020: 135-152 - [c254]Yang He, Bernt Schiele, Mario Fritz:
Synthetic Convolutional Features for Improved Semantic Segmentation. ECCV Workshops (4) 2020: 320-336 - [c253]Yaoyao Liu, Bernt Schiele, Qianru Sun:
An Ensemble of Epoch-Wise Empirical Bayes for Few-Shot Learning. ECCV (16) 2020: 404-421 - [c252]Sukrut Rao, David Stutz, Bernt Schiele:
Adversarial Training Against Location-Optimized Adversarial Patches. ECCV Workshops (5) 2020: 429-448 - [c251]Rakshith Shetty, Mario Fritz, Bernt Schiele:
Towards Automated Testing and Robustification by Semantic Adversarial Data Generation. ECCV (2) 2020: 489-506 - [c250]Yang He, Shadi Rahimian, Bernt Schiele, Mario Fritz:
Segmentations-Leak: Membership Inference Attacks and Defenses in Semantic Image Segmentation. ECCV (23) 2020: 519-535 - [c249]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 - [c248]Tribhuvanesh Orekondy, Bernt Schiele, Mario Fritz:
Prediction Poisoning: Towards Defenses Against DNN Model Stealing Attacks. ICLR 2020 - [c247]David Stutz, Matthias Hein, Bernt Schiele:
Confidence-Calibrated Adversarial Training: Generalizing to Unseen Attacks. ICML 2020: 9155-9166 - [c246]Jiangxin Dong, Stefan Roth, Bernt Schiele:
Deep Wiener Deconvolution: Wiener Meets Deep Learning for Image Deblurring. NeurIPS 2020 - [c245]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) - [c244]Yongqin Xian, Saurabh Sharma, Bernt Schiele, Zeynep Akata:
f-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning. CVPR Workshops 2019: 46-49 - [c243]Qianru Sun, Yaoyao Liu, Tat-Seng Chua, Bernt Schiele:
Meta-Transfer Learning for Few-Shot Learning. CVPR 2019: 403-412 - [c242]Tribhuvanesh Orekondy, Bernt Schiele, Mario Fritz:
Knockoff Nets: Stealing Functionality of Black-Box Models. CVPR 2019: 4954-4963 - [c241]David Stutz, Matthias Hein, Bernt Schiele:
Disentangling Adversarial Robustness and Generalization. CVPR 2019: 6976-6987 - [c240]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 - [c239]Yongqin Xian, Subhabrata Choudhury, Yang He, Bernt Schiele, Zeynep Akata:
Semantic Projection Network for Zero- and Few-Label Semantic Segmentation. CVPR 2019: 8256-8265 - [c238]Qiuhong Ke, Mario Fritz, Bernt Schiele:
Time-Conditioned Action Anticipation in One Shot. CVPR 2019: 9925-9934 - [c237]Yongqin Xian, Saurabh Sharma, Bernt Schiele, Zeynep Akata:
F-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning. CVPR 2019: 10275-10284 - [c236]Apratim Bhattacharyya, Mario Fritz, Bernt Schiele:
Bayesian Prediction of Future Street Scenes using Synthetic Likelihoods. ICLR (Poster) 2019 - [c235]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) - [c234]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 - [c233]Apratim Bhattacharyya, Mateusz Malinowski, Bernt Schiele, Mario Fritz:
Long-Term Image Boundary Prediction. AAAI 2018: 2720-2729 - [c232]Anna Khoreva, Anna Rohrbach, Bernt Schiele:
Video Object Segmentation with Language Referring Expressions. ACCV (4) 2018: 123-141 - [c231]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 - [c230]Liqian Ma, Qianru Sun, Stamatios Georgoulis, Luc Van Gool, Bernt Schiele, Mario Fritz:
Disentangled Person Image Generation. CVPR 2018: 99-108 - [c229]Mihai Fieraru, Anna Khoreva, Leonid Pishchulin, Bernt Schiele:
Learning to Refine Human Pose Estimation. CVPR Workshops 2018: 205-214 - [c228]Apratim Bhattacharyya, Mario Fritz, Bernt Schiele:
Long-Term On-Board Prediction of People in Traffic Scenes Under Uncertainty. CVPR 2018: 4194-4202 - [c227]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 - [c226]