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ORCIDBernt Schiele
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- affiliation: Max Planck Institute for Informatics, Saarbücken, Germany
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2020 – today
- 2023
[j62]Yue Fan
, Anna Kukleva, Dengxin Dai, Bernt Schiele:
Revisiting Consistency Regularization for Semi-Supervised Learning. Int. J. Comput. Vis. 131(3): 626-643 (2023)- [j61]David Stutz, Nandhini Chandramoorthy, Matthias Hein, Bernt Schiele:
Random and Adversarial Bit Error Robustness: Energy-Efficient and Secure DNN Accelerators. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 3632-3647 (2023) - [j60]Moritz Böhle, Mario Fritz, Bernt Schiele:
Optimising for Interpretability: Convolutional Dynamic Alignment Networks. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 7625-7638 (2023) - [j59]Jiali Xi, Jianqiang Huang, Shibao Zheng, Qin Zhou, Bernt Schiele, Xian-Sheng Hua, Qianru Sun:
Learning comprehensive global features in person re-identification: Ensuring discriminativeness of more local regions. Pattern Recognit. 134: 109068 (2023) - [c320]Yaoyao Liu, Yingying Li, Bernt Schiele, Qianru Sun:
Online Hyperparameter Optimization for Class-Incremental Learning. AAAI 2023: 8906-8913 - [c319]Xudong Hong, Vera Demberg, Asad B. Sayeed, Qiankun Zheng, Bernt Schiele:
Visual Coherence Loss for Coherent and Visually Grounded Story Generation. ACL (Findings) 2023: 9456-9470 - [c318]Edgar Schönfeld, Julio Borges, Vadim Sushko, Bernt Schiele, Anna Khoreva:
Discovering Class-Specific GAN Controls for Semantic Image Synthesis. CVPR Workshops 2023: 688-697 - [c317]Li Jiang, Zetong Yang, Shaoshuai Shi, Vladislav Golyanik, Dengxin Dai, Bernt Schiele:
Self-Supervised Pre-Training with Masked Shape Prediction for 3D Scene Understanding. CVPR 2023: 1168-1178 - [c316]Achin Jain, Gurumurthy Swaminathan, Paolo Favaro, Hao Yang, Avinash Ravichandran, Hrayr Harutyunyan, Alessandro Achille, Onkar Dabeer, Bernt Schiele, Ashwin Swaminathan, Stefano Soatto:
A Meta-Learning Approach to Predicting Performance and Data Requirements. CVPR 2023: 3623-3632 - [c315]Yong Guo, David Stutz, Bernt Schiele:
Improving Robustness of Vision Transformers by Reducing Sensitivity to Patch Corruptions. CVPR 2023: 4108-4118 - [c314]Zilin Luo, Yaoyao Liu, Bernt Schiele, Qianru Sun:
Class-Incremental Exemplar Compression for Class-Incremental Learning. CVPR 2023: 11371-11380 - [c313]Haiyang Wang, Chen Shi, Shaoshuai Shi, Meng Lei, Sen Wang, Di He, Bernt Schiele, Liwei Wang:
DSVT: Dynamic Sparse Voxel Transformer with Rotated Sets. CVPR 2023: 13520-13529 - [c312]Jian Ding, Nan Xue, Gui-Song Xia, Bernt Schiele, Dengxin Dai:
HGFormer: Hierarchical Grouping Transformer for Domain Generalized Semantic Segmentation. CVPR 2023: 15413-15423 - [c311]Anurag Das, Yongqin Xian, Dengxin Dai, Bernt Schiele:
Weakly-Supervised Domain Adaptive Semantic Segmentation with Prototypical Contrastive Learning. CVPR 2023: 15434-15443 - [c310]Yaoyao Liu, Bernt Schiele, Andrea Vedaldi, Christian Rupprecht:
Continual Detection Transformer for Incremental Object Detection. CVPR 2023: 23799-23808 - [c309]Hao Chen, Ran Tao, Yue Fan, Yidong Wang, Jindong Wang, Bernt Schiele, Xing Xie, Bhiksha Raj, Marios Savvides:
SoftMatch: Addressing the Quantity-Quality Tradeoff in Semi-supervised Learning. ICLR 2023 - [c308]Qi Fan, Mattia Segù, Yu-Wing Tai, Fisher Yu, Chi-Keung Tang, Bernt Schiele, Dengxin Dai:
Towards Robust Object Detection Invariant to Real-World Domain Shifts. ICLR 2023 - [c307]Anna Kukleva, Moritz Böhle, Bernt Schiele, Hilde Kuehne, Christian Rupprecht:
Temperature Schedules for self-supervised contrastive methods on long-tail data. ICLR 2023 - [c306]Yidong Wang, Hao Chen, Qiang Heng, Wenxin Hou, Yue Fan, Zhen Wu, Jindong Wang, Marios Savvides, Takahiro Shinozaki, Bhiksha Raj, Bernt Schiele, Xing Xie:
FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning. ICLR 2023 - [c305]Zhi Li, Shaoshuai Shi, Bernt Schiele, Dengxin Dai:
Test-time Domain Adaptation for Monocular Depth Estimation. ICRA 2023: 4873-4879 - [c304]Xudong Hong, Vera Demberg, Asad B. Sayeed, Qiankun Zheng, Bernt Schiele:
Visual Coherence Loss for Coherent and Visually Grounded Story Generation. RepL4NLP@ACL 2023: 334-346 - [c303]Samarth Sinha, Peter V. Gehler, Francesco Locatello, Bernt Schiele:
TeST: Test-time Self-Training under Distribution Shift. WACV 2023: 2758-2768 - [c302]Anurag Das, Yongqin Xian, Yang He, Zeynep Akata, Bernt Schiele:
Urban Scene Semantic Segmentation with Low-Cost Coarse Annotation. WACV 2023: 5967-5976 - [i174]Nina Shvetsova, Felix Petersen, Anna Kukleva, Bernt Schiele, Hilde Kuehne:
Learning by Sorting: Self-supervised Learning with Group Ordering Constraints. CoRR abs/2301.02009 (2023) - [i173]Yaoyao Liu, Yingying Li, Bernt Schiele, Qianru Sun:
Online Hyperparameter Optimization for Class-Incremental Learning. CoRR abs/2301.05032 (2023) - [i172]Yaoyao Liu, Bernt Schiele, Qianru Sun:
RMM: Reinforced Memory Management for Class-Incremental Learning. CoRR abs/2301.05792 (2023) - [i171]Haiyang Wang, Chen Shi, Shaoshuai Shi, Meng Lei, Sen Wang, Di He, Bernt Schiele, Liwei Wang:
DSVT: Dynamic Sparse Voxel Transformer with Rotated Sets. CoRR abs/2301.06051 (2023) - [i170]Xudong Hong, Asad B. Sayeed, Khushboo Mehra, Vera Demberg, Bernt Schiele:
Visual Writing Prompts: Character-Grounded Story Generation with Curated Image Sequences. CoRR abs/2301.08571 (2023) - [i169]Moritz Böhle, Mario Fritz, Bernt Schiele:
Holistically Explainable Vision Transformers. CoRR abs/2301.08669 (2023) - [i168]Hao Chen, Ran Tao, Yue Fan, Yidong Wang, Jindong Wang, Bernt Schiele, Xing Xie, Bhiksha Raj, Marios Savvides:
SoftMatch: Addressing the Quantity-Quality Trade-off in Semi-supervised Learning. CoRR abs/2301.10921 (2023) - [i167]Jiahua Dong, Yang Cong, Gan Sun, Yulun Zhang, Bernt Schiele, Dengxin Dai:
No One Left Behind: Real-World Federated Class-Incremental Learning. CoRR abs/2302.00903 (2023) - [i166]Achin Jain, Gurumurthy Swaminathan, Paolo Favaro, Hao Yang, Avinash Ravichandran, Hrayr Harutyunyan, Alessandro Achille, Onkar Dabeer, Bernt Schiele, Ashwin Swaminathan, Stefano Soatto:
A Meta-Learning Approach to Predicting Performance and Data Requirements. CoRR abs/2303.01598 (2023) - [i165]Yong Guo, David Stutz, Bernt Schiele:
Robustifying Token Attention for Vision Transformers. CoRR abs/2303.11126 (2023) - [i164]Sukrut Rao, Moritz Böhle, Bernt Schiele:
Better Understanding Differences in Attribution Methods via Systematic Evaluations. CoRR abs/2303.11884 (2023) - [i163]Sukrut Rao, Moritz Böhle, Amin Parchami-Araghi, Bernt Schiele:
Using Explanations to Guide Models. CoRR abs/2303.11932 (2023) - [i162]Anna Kukleva, Moritz Böhle, Bernt Schiele, Hilde Kuehne, Christian Rupprecht:
Temperature Schedules for Self-Supervised Contrastive Methods on Long-Tail Data. CoRR abs/2303.13664 (2023) - [i161]Zilin Luo, Yaoyao Liu, Bernt Schiele, Qianru Sun:
Class-Incremental Exemplar Compression for Class-Incremental Learning. CoRR abs/2303.14042 (2023) - [i160]Yaoyao Liu, Bernt Schiele, Andrea Vedaldi, Christian Rupprecht:
Continual Detection Transformer for Incremental Object Detection. CoRR abs/2304.03110 (2023) - [i159]Li Jiang, Zetong Yang, Shaoshuai Shi, Vladislav Golyanik, Dengxin Dai, Bernt Schiele:
Self-supervised Pre-training with Masked Shape Prediction for 3D Scene Understanding. CoRR abs/2305.05026 (2023) - [i158]Jian Ding, Nan Xue, Gui-Song Xia, Bernt Schiele, Dengxin Dai:
HGFormer: Hierarchical Grouping Transformer for Domain Generalized Semantic Segmentation. CoRR abs/2305.13031 (2023) - [i157]Moritz Böhle, Navdeeppal Singh, Mario Fritz, Bernt Schiele:
B-cos Alignment for Inherently Interpretable CNNs and Vision Transformers. CoRR abs/2306.10898 (2023) - [i156]Shaoshuai Shi, Li Jiang, Dengxin Dai, Bernt Schiele:
MTR++: Multi-Agent Motion Prediction with Symmetric Scene Modeling and Guided Intention Querying. CoRR abs/2306.17770 (2023) - [i155]Haiyang Wang, Hao Tang, Shaoshuai Shi, Aoxue Li, Zhenguo Li, Bernt Schiele, Liwei Wang:
UniTR: A Unified and Efficient Multi-Modal Transformer for Bird's-Eye-View Representation. CoRR abs/2308.07732 (2023) - [i154]Zixu Zhao, Jiaze Wang, Max Horn, Yizhuo Ding, Tong He, Zechen Bai, Dominik Zietlow, Carl-Johann Simon-Gabriel, Bing Shuai, Zhuowen Tu, Thomas Brox, Bernt Schiele, Yanwei Fu, Francesco Locatello, Zheng Zhang, Tianjun Xiao:
Object-Centric Multiple Object Tracking. CoRR abs/2309.00233 (2023) - [i153]Christopher Wewer, Eddy Ilg, Bernt Schiele, Jan Eric Lenssen:
SimNP: Learning Self-Similarity Priors Between Neural Points. CoRR abs/2309.03809 (2023) - [i152]Max Maria Losch, David Stutz, Bernt Schiele, Mario Fritz:
Certified Robust Models with Slack Control and Large Lipschitz Constants. CoRR abs/2309.06166 (2023) - [i151]Nina Shvetsova, Anna Kukleva, Bernt Schiele, Hilde Kuehne:
In-Style: Bridging Text and Uncurated Videos with Style Transfer for Text-Video Retrieval. CoRR abs/2309.08928 (2023) - [i150]Ke Fan, Zechen Bai, Tianjun Xiao, Dominik Zietlow, Max Horn, Zixu Zhao, Carl-Johann Simon-Gabriel, Mike Zheng Shou, Francesco Locatello, Bernt Schiele, Thomas Brox, Zheng Zhang, Yanwei Fu, Tong He:
Unsupervised Open-Vocabulary Object Localization in Videos. CoRR abs/2309.09858 (2023) - 2022
- [j58]Wenjia Xu, Yongqin Xian, Jiuniu Wang, Bernt Schiele, Zeynep Akata:
Attribute Prototype Network for Any-Shot Learning. Int. J. Comput. Vis. 130(7): 1735-1753 (2022) - [j57]Vadim Sushko, Edgar Schönfeld, Dan Zhang, Juergen Gall, Bernt Schiele, Anna Khoreva:
OASIS: Only Adversarial Supervision for Semantic Image Synthesis. Int. J. Comput. Vis. 130(12): 2903-2923 (2022) - [j56]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) - [j55]Yongqin Xian, Bruno Korbar, Matthijs Douze, Lorenzo Torresani, Bernt Schiele, Zeynep Akata:
Generalized Few-Shot Video Classification With Video Retrieval and Feature Generation. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 8949-8961 (2022) - [j54]Jiangxin Dong, Stefan Roth, Bernt Schiele:
DWDN: Deep Wiener Deconvolution Network for Non-Blind Image Deblurring. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 9960-9976 (2022) - [c301]Zhi Li, Soshi Shimada, Bernt Schiele, Christian Theobalt, Vladislav Golyanik:
MoCapDeform: Monocular 3D Human Motion Capture in Deformable Scenes. 3DV 2022: 1-11 - [c300]Keyang Zhou, Bharat Lal Bhatnagar, Bernt Schiele, Gerard Pons-Moll:
Adjoint Rigid Transform Network: Task-conditioned Alignment of 3D Shapes. 3DV 2022: 1-11 - [c299]Yongqin Xian, Julian Chibane, Bharat Lal Bhatnagar, Bernt Schiele, Zeynep Akata, Gerard Pons-Moll:
Any-Shot GIN: Generalizing Implicit Networks for Reconstructing Novel Classes. 3DV 2022: 526-535 - [c298]Di Chen, Andreas Doering, Shanshan Zhang, Jian Yang, Juergen Gall, Bernt Schiele:
Keypoint Message Passing for Video-Based Person Re-identification. AAAI 2022: 239-247 - [c297]Haiyang Wang, Shaoshuai Shi, Ze Yang, Rongyao Fang, Qi Qian, Hongsheng Li, Bernt Schiele, Liwei Wang:
RBGNet: Ray-based Grouping for 3D Object Detection. CVPR 2022: 1100-1109 - [c296]Shenjian Gong, Shanshan Zhang, Jian Yang, Dengxin Dai, Bernt Schiele:
Bi-level Alignment for Cross-Domain Crowd Counting. CVPR 2022: 7532-7540 - [c295]Zetong Yang, Li Jiang, Yanan Sun, Bernt Schiele, Jiaya Jia:
A Unified Query-based Paradigm for Point Cloud Understanding. CVPR 2022: 8531-8541 - [c294]Wenjia Xu, Yongqin Xian, Jiuniu Wang, Bernt Schiele, Zeynep Akata:
VGSE: Visually-Grounded Semantic Embeddings for Zero-Shot Learning. CVPR 2022: 9306-9315 - [c293]Pei Wang, Zhaowei Cai, Hao Yang, Gurumurthy Swaminathan, Nuno Vasconcelos, Bernt Schiele, Stefano Soatto:
Omni-DETR: Omni-Supervised Object Detection with Transformers. CVPR 2022: 9357-9366 - [c292]Sukrut Rao, Moritz Böhle, Bernt Schiele:
Towards Better Understanding Attribution Methods. CVPR 2022: 10213-10222 - [c291]Moritz Böhle, Mario Fritz, Bernt Schiele:
B-cos Networks: Alignment is All We Need for Interpretability. CVPR 2022: 10319-10328 - [c290]Yue Fan, Dengxin Dai, Anna Kukleva, Bernt Schiele:
CoSSL: Co-Learning of Representation and Classifier for Imbalanced Semi-Supervised Learning. CVPR 2022: 14554-14564 - [c289]Andreas Doering, Di Chen, Shanshan Zhang, Bernt Schiele, Juergen Gall:
PoseTrack21: A Dataset for Person Search, Multi-Object Tracking and Multi-Person Pose Tracking. CVPR 2022: 20931-20940 - [c288]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. CVPR 2022: 21339-21350 - [c287]Enea Duka, Anna Kukleva, Bernt Schiele:
Leveraging Self-Supervised Training for Unintentional Action Recognition. ECCV Workshops (4) 2022: 69-85 - [c286]Yong Guo, David Stutz, Bernt Schiele:
Improving Robustness by Enhancing Weak Subnets. ECCV (24) 2022: 320-338 - [c285]Shenjian Gong, Shanshan Zhang, Jian Yang, Dengxin Dai, Bernt Schiele:
Class-Agnostic Object Counting Robust to Intraclass Diversity. ECCV (33) 2022: 388-403 - [c284]Shaoshuai Shi, Li Jiang, Dengxin Dai, Bernt Schiele:
Motion Transformer with Global Intention Localization and Local Movement Refinement. NeurIPS 2022 - [c283]Yidong Wang, Hao Chen, Yue Fan, Wang Sun, Ran Tao, Wenxin Hou, Renjie Wang, Linyi Yang, Zhi Zhou, Lan-Zhe Guo, Heli Qi, Zhen Wu, Yu-Feng Li, Satoshi Nakamura, Wei Ye, Marios Savvides, Bhiksha Raj, Takahiro Shinozaki, Bernt Schiele, Jindong Wang, Xing Xie, Yue Zhang:
USB: A Unified Semi-supervised Learning Benchmark for Classification. NeurIPS 2022 - [c282]Florian Wenzel, Andrea Dittadi, Peter V. Gehler, Carl-Johann Simon-Gabriel, Max Horn, Dominik Zietlow, David Kernert, Chris Russell, Thomas Brox, Bernt Schiele, Bernhard Schölkopf, Francesco Locatello:
Assaying Out-Of-Distribution Generalization in Transfer Learning. NeurIPS 2022 - [i149]Yong Guo, David Stutz, Bernt Schiele:
Improving Corruption and Adversarial Robustness by Enhancing Weak Subnets. CoRR abs/2201.12765 (2022) - [i148]Zetong Yang, Li Jiang, Yanan Sun, Bernt Schiele, Jiaya Jia:
A Unified Query-based Paradigm for Point Cloud Understanding. CoRR abs/2203.01252 (2022) - [i147]Wenjia Xu, Yongqin Xian, Jiuniu Wang, Bernt Schiele, Zeynep Akata:
VGSE: Visually-Grounded Semantic Embeddings for Zero-Shot Learning. CoRR abs/2203.10444 (2022) - [i146]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) - [i145]Wenjia Xu, Yongqin Xian, Jiuniu Wang, Bernt Schiele, Zeynep Akata:
Attribute Prototype Network for Any-Shot Learning. CoRR abs/2204.01208 (2022) - [i144]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) - [i143]Nils Philipp Walter, David Stutz, Bernt Schiele:
On Fragile Features and Batch Normalization in Adversarial Training. CoRR abs/2204.12393 (2022) - [i142]Shenjian Gong, Shanshan Zhang, Jian Yang, Dengxin Dai, Bernt Schiele:
Bi-level Alignment for Cross-Domain Crowd Counting. CoRR abs/2205.05844 (2022) - [i141]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) - [i140]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) - [i139]Moritz Böhle, Mario Fritz, Bernt Schiele:
B-cos Networks: Alignment is All We Need for Interpretability. CoRR abs/2205.10268 (2022) - [i138]Sukrut Rao, Moritz Böhle, Bernt Schiele:
Towards Better Understanding Attribution Methods. CoRR abs/2205.10435 (2022) - [i137]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) - [i136]Florian Wenzel, Andrea Dittadi, Peter Vincent Gehler, Carl-Johann Simon-Gabriel, Max Horn, Dominik Zietlow, David Kernert, Chris Russell, Thomas Brox, Bernt Schiele, Bernhard Schölkopf, Francesco Locatello:
Assaying Out-Of-Distribution Generalization in Transfer Learning. CoRR abs/2207.09239 (2022) - [i135]Yidong Wang, Hao Chen, Yue Fan, Wang Sun, Ran Tao, Wenxin Hou, Renjie Wang, Linyi Yang, Zhi Zhou, Lan-Zhe Guo, Heli Qi, Zhen Wu, Yu-Feng Li, Satoshi Nakamura, Wei Ye, Marios Savvides, Bhiksha Raj, Takahiro Shinozaki, Bernt Schiele, Jindong Wang, Xing Xie, Yue Zhang:
USB: A Unified Semi-supervised Learning Benchmark. CoRR abs/2208.07204 (2022) - [i134]Zhi Li, Soshi Shimada, Bernt Schiele, Christian Theobalt, Vladislav Golyanik:
MoCapDeform: Monocular 3D Human Motion Capture in Deformable Scenes. CoRR abs/2208.08439 (2022) - [i133]Achin Jain, Kibok Lee, Gurumurthy Swaminathan, Hao Yang, Bernt Schiele, Avinash Ravichandran, Onkar Dabeer:
ComplETR: Reducing the cost of annotations for object detection in dense scenes with vision transformers. CoRR abs/2209.05654 (2022) - [i132]Shaoshuai Shi, Li Jiang, Dengxin Dai, Bernt Schiele:
MTR-A: 1st Place Solution for 2022 Waymo Open Dataset Challenge - Motion Prediction. CoRR abs/2209.10033 (2022) - [i131]Samarth Sinha, Peter V. Gehler, Francesco Locatello, Bernt Schiele:
TeST: Test-time Self-Training under Distribution Shift. CoRR abs/2209.11459 (2022) - [i130]Enea Duka, Anna Kukleva, Bernt Schiele:
Leveraging Self-Supervised Training for Unintentional Action Recognition. CoRR abs/2209.11870 (2022) - [i129]Shaoshuai Shi, Li Jiang, Dengxin Dai, Bernt Schiele:
Motion Transformer with Global Intention Localization and Local Movement Refinement. CoRR abs/2209.13508 (2022) - [i128]Qi Fan, Mattia Segù, Yu-Wing Tai, Fisher Yu, Chi-Keung Tang, Bernt Schiele, Dengxin Dai:
Normalization Perturbation: A Simple Domain Generalization Method for Real-World Domain Shifts. CoRR abs/2211.04393 (2022) - [i127]Hao Chen, Yue Fan, Yidong Wang, Jindong Wang, Bernt Schiele, Xing Xie, Marios Savvides, Bhiksha Raj:
An Embarrassingly Simple Baseline for Imbalanced Semi-Supervised Learning. CoRR abs/2211.11086 (2022) - [i126]Edgar Schönfeld, Julio Borges, Vadim Sushko, Bernt Schiele, Anna Khoreva:
Discovering Class-Specific GAN Controls for Semantic Image Synthesis. CoRR abs/2212.01455 (2022) - [i125]Anurag Das, Yongqin Xian, Yang He, Zeynep Akata, Bernt Schiele:
Urban Scene Semantic Segmentation with Low-Cost Coarse Annotation. CoRR abs/2212.07911 (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]