default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDThomas Brox
Person information
- affiliation: University of Freiburg, Department of Computer Science, Germany
- affiliation (PhD 2005): Saarland University, Saarbrücken, Germany
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[c171]Philipp Schröppel, Christopher Wewer, Jan Eric Lenssen, Eddy Ilg, Thomas Brox:
Neural Point Cloud Diffusion for Disentangled 3D Shape and Appearance Generation. CVPR 2024: 8785-8794- [c170]Aditya Bhatt, Daniel Palenicek, Boris Belousov, Max Argus, Artemij Amiranashvili, Thomas Brox, Jan Peters:
CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity. ICLR 2024 - [c169]Simon Ging, María Alejandra Bravo, Thomas Brox:
Open-ended VQA benchmarking of Vision-Language models by exploiting Classification datasets and their semantic hierarchy. ICLR 2024 - [c168]David T. Hoffmann, Simon Schrodi, Jelena Bratulic, Nadine Behrmann, Volker Fischer, Thomas Brox:
Eureka-Moments in Transformers: Multi-Step Tasks Reveal Softmax Induced Optimization Problems. ICML 2024 - [c167]Max Argus, Abhijeet Nayak, Martin Büchner, Silvio Galesso, Abhinav Valada, Thomas Brox:
Compositional Servoing by Recombining Demonstrations. ICRA 2024: 7339-7346 - [c166]Maximilian Luz, Rohit Mohan, Ahmed Rida Sekkat, Oliver Sawade, Elmar Matthes, Thomas Brox, Abhinav Valada:
Amodal Optical Flow. ICRA 2024: 14677-14684 - [i120]Riccardo Grazzi, Julien Siems, Simon Schrodi, Thomas Brox, Frank Hutter:
Is Mamba Capable of In-Context Learning? CoRR abs/2402.03170 (2024) - [i119]Simon Ging
, María Alejandra Bravo, Thomas Brox:
Open-ended VQA benchmarking of Vision-Language models by exploiting Classification datasets and their semantic hierarchy. CoRR abs/2402.07270 (2024) - [i118]Baohe Zhang, Yuan Zhang, Lilli Frison, Thomas Brox, Joschka Bödecker:
Constrained Reinforcement Learning with Smoothed Log Barrier Function. CoRR abs/2403.14508 (2024) - [i117]Nick Heppert, Max Argus, Tim Welschehold, Thomas Brox, Abhinav Valada:
DITTO: Demonstration Imitation by Trajectory Transformation. CoRR abs/2403.15203 (2024) - [i116]Simon Schrodi, David T. Hoffmann, Max Argus, Volker Fischer, Thomas Brox:
Two Effects, One Trigger: On the Modality Gap, Object Bias, and Information Imbalance in Contrastive Vision-Language Representation Learning. CoRR abs/2404.07983 (2024) - [i115]Simon Schrodi, Julian Schur, Max Argus, Thomas Brox:
Concept Bottleneck Models Without Predefined Concepts. CoRR abs/2407.03921 (2024) - [i114]Silvio Galesso, Philipp Schröppel, Hssan Driss, Thomas Brox:
Diffusion for Out-of-Distribution Detection on Road Scenes and Beyond. CoRR abs/2407.15739 (2024) - [i113]Zechen Bai, Tianjun Xiao, Tong He, Pichao Wang, Zheng Zhang, Thomas Brox, Mike Zheng Shou:
GQE: Generalized Query Expansion for Enhanced Text-Video Retrieval. CoRR abs/2408.07249 (2024) - [i112]Soumajyoti Sarkar, Leonard Lausen, Volkan Cevher, Sheng Zha, Thomas Brox, George Karypis:
Revisiting SMoE Language Models by Evaluating Inefficiencies with Task Specific Expert Pruning. CoRR abs/2409.01483 (2024) - [i111]Eugenio Chisari, Nick Heppert, Max Argus, Tim Welschehold, Thomas Brox, Abhinav Valada:
Learning Robotic Manipulation Policies from Point Clouds with Conditional Flow Matching. CoRR abs/2409.07343 (2024) - [i110]Baohe Zhang, Lilli Frison, Thomas Brox, Joschka Bödecker:
Constrained Reinforcement Learning for Safe Heat Pump Control. CoRR abs/2409.19716 (2024) - 2023
- [j42]Rohit Mohan, Thomas Elsken, Arber Zela, Jan Hendrik Metzen, Benedikt Staffler, Thomas Brox, Abhinav Valada, Frank Hutter:
Neural Architecture Search for Dense Prediction Tasks in Computer Vision. Int. J. Comput. Vis. 131(7): 1784-1807 (2023) - [c165]Matthias Tangemann, Steffen Schneider, Julius von Kügelgen, Francesco Locatello, Peter Vincent Gehler, Thomas Brox, Matthias Kümmerer, Matthias Bethge, Bernhard Schölkopf:
Unsupervised Object Learning via Common Fate. CLeaR 2023: 281-327 - [c164]María Alejandra Bravo, Sudhanshu Mittal, Simon Ging, Thomas Brox:
Open-vocabulary Attribute Detection. CVPR 2023: 7041-7050 - [c163]Sudhanshu Mittal, Joshua Niemeijer, Jörg P. Schäfer, Thomas Brox:
Best Practices in Active Learning for Semantic Segmentation. DAGM 2023: 427-442 - [c162]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. ICCV 2023: 13701-13709 - [c161]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. ICCV 2023: 16555-16565 - [c160]Joshua Niemeijer, Sudhanshu Mittal, Thomas Brox:
Synthetic Dataset Acquisition for a Specific Target Domain. ICCV (Workshops) 2023: 4057-4066 - [c159]Silvio Galesso, Max Argus, Thomas Brox:
Far Away in the Deep Space: Dense Nearest-Neighbor-Based Out-of-Distribution Detection. ICCV (Workshops) 2023: 4479-4489 - [c158]Maximilian Seitzer, Max Horn, Andrii Zadaianchuk, Dominik Zietlow, Tianjun Xiao, Carl-Johann Simon-Gabriel, Tong He, Zheng Zhang, Bernhard Schölkopf, Thomas Brox, Francesco Locatello:
Bridging the Gap to Real-World Object-Centric Learning. ICLR 2023 - [c157]Andrii Zadaianchuk, Matthäus Kleindessner, Yi Zhu, Francesco Locatello, Thomas Brox:
Unsupervised Semantic Segmentation with Self-supervised Object-centric Representations. ICLR 2023 - [c156]Simon Schrodi, Danny Stoll, Binxin Ru, Rhea Sukthanker, Thomas Brox, Frank Hutter:
Construction of Hierarchical Neural Architecture Search Spaces based on Context-free Grammars. NeurIPS 2023 - [i109]Sudhanshu Mittal, Joshua Niemeijer, Jörg P. Schäfer, Thomas Brox:
Revisiting Deep Active Learning for Semantic Segmentation. CoRR abs/2302.04075 (2023) - [i108]Arian Mousakhan, Thomas Brox, Jawad Tayyub:
Anomaly Detection with Conditioned Denoising Diffusion Models. CoRR abs/2305.15956 (2023) - [i107]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) - [i106]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) - [i105]Max Argus, Abhijeet Nayak, Martin Büchner, Silvio Galesso, Abhinav Valada, Thomas Brox:
Compositional Servoing by Recombining Demonstrations. CoRR abs/2310.04271 (2023) - [i104]Simon Schrodi, Ferdinand Briegel, Max Argus, Andreas Christen, Thomas Brox:
Climate-sensitive Urban Planning through Optimization of Tree Placements. CoRR abs/2310.05691 (2023) - [i103]Karim Farid, Simon Schrodi, Max Argus, Thomas Brox:
Latent Diffusion Counterfactual Explanations. CoRR abs/2310.06668 (2023) - [i102]David T. Hoffmann, Simon Schrodi, Nadine Behrmann, Volker Fischer, Thomas Brox:
Eureka-Moments in Transformers: Multi-Step Tasks Reveal Softmax Induced Optimization Problems. CoRR abs/2310.12956 (2023) - [i101]Maximilian Luz, Rohit Mohan, Ahmed Rida Sekkat, Oliver Sawade, Elmar Matthes, Thomas Brox, Abhinav Valada:
Amodal Optical Flow. CoRR abs/2311.07761 (2023) - [i100]Philipp Schröppel, Christopher Wewer, Jan Eric Lenssen, Eddy Ilg, Thomas Brox:
Neural Point Cloud Diffusion for Disentangled 3D Shape and Appearance Generation. CoRR abs/2312.14124 (2023) - 2022
- [c155]Philipp Schröppel, Jan Bechtold, Artemij Amiranashvili, Thomas Brox:
A Benchmark and a Baseline for Robust Multi-view Depth Estimation. 3DV 2022: 637-645 - [c154]David T. Hoffmann, Nadine Behrmann, Juergen Gall, Thomas Brox, Mehdi Noroozi:
Ranking Info Noise Contrastive Estimation: Boosting Contrastive Learning via Ranked Positives. AAAI 2022: 897-905 - [c153]Simon Schrodi, Tonmoy Saikia, Thomas Brox:
Towards Understanding Adversarial Robustness of Optical Flow Networks. CVPR 2022: 8906-8914 - [c152]Karsten Roth, Latha Pemula, Joaquin Zepeda, Bernhard Schölkopf, Thomas Brox, Peter V. Gehler:
Towards Total Recall in Industrial Anomaly Detection. CVPR 2022: 14298-14308 - [c151]Leonhard Sommer, Philipp Schröppel, Thomas Brox:
SF2SE3: Clustering Scene Flow into SE(3)-Motions via Proposal and Selection. GCPR 2022: 215-229 - [c150]María Alejandra Bravo, Sudhanshu Mittal, Thomas Brox:
Localized Vision-Language Matching for Open-vocabulary Object Detection. GCPR 2022: 393-408 - [c149]Silvio Galesso, María Alejandra Bravo, Mehdi Naouar, Thomas Brox:
Probing Contextual Diversity for Dense Out-of-Distribution Detection. ECCV Workshops (5) 2022: 492-509 - [c148]Osama Makansi, Julius von Kügelgen, Francesco Locatello, Peter Vincent Gehler, Dominik Janzing, Thomas Brox, Bernhard Schölkopf:
You Mostly Walk Alone: Analyzing Feature Attribution in Trajectory Prediction. ICLR 2022 - [c147]Sergio Izquierdo, Max Argus, Thomas Brox:
Conditional Visual Servoing for Multi-Step Tasks. IROS 2022: 2190-2196 - [c146]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 - [i99]David T. Hoffmann, Nadine Behrmann, Juergen Gall, Thomas Brox, Mehdi Noroozi:
Ranking Info Noise Contrastive Estimation: Boosting Contrastive Learning via Ranked Positives. CoRR abs/2201.11736 (2022) - [i98]Thomas Elsken, Arber Zela, Jan Hendrik Metzen, Benedikt Staffler, Thomas Brox, Abhinav Valada, Frank Hutter:
Neural Architecture Search for Dense Prediction Tasks in Computer Vision. CoRR abs/2202.07242 (2022) - [i97]María Alejandra Bravo, Sudhanshu Mittal, Thomas Brox:
Localized Vision-Language Matching for Open-vocabulary Object Detection. CoRR abs/2205.06160 (2022) - [i96]Sergio Izquierdo, Max Argus, Thomas Brox:
Conditional Visual Servoing for Multi-Step Tasks. CoRR abs/2205.08441 (2022) - [i95]Yash Sharma, Yi Zhu, Chris Russell, Thomas Brox:
Pixel-level Correspondence for Self-Supervised Learning from Video. CoRR abs/2207.03866 (2022) - [i94]Andrii Zadaianchuk, Matthäus Kleindessner, Yi Zhu, Francesco Locatello, Thomas Brox:
Unsupervised Semantic Segmentation with Self-supervised Object-centric Representations. CoRR abs/2207.05027 (2022) - [i93]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) - [i92]Lukás Hermann, Max Argus, Adrian Röfer, Abhinav Valada, Thomas Brox, Wolfram Burgard:
RobotIO: A Python Library for Robot Manipulation Experiments. CoRR abs/2207.13591 (2022) - [i91]Silvio Galesso, María Alejandra Bravo, Mehdi Naouar, Thomas Brox:
Probing Contextual Diversity for Dense Out-of-Distribution Detection. CoRR abs/2208.14195 (2022) - [i90]Philipp Schröppel, Jan Bechtold, Artemij Amiranashvili, Thomas Brox:
A Benchmark and a Baseline for Robust Multi-view Depth Estimation. CoRR abs/2209.06681 (2022) - [i89]Leonhard Sommer, Philipp Schröppel, Thomas Brox:
SF2SE3: Clustering Scene Flow into SE(3)-Motions via Proposal and Selection. CoRR abs/2209.08532 (2022) - [i88]Maximilian Seitzer, Max Horn, Andrii Zadaianchuk, Dominik Zietlow, Tianjun Xiao, Carl-Johann Simon-Gabriel, Tong He, Zheng Zhang, Bernhard Schölkopf, Thomas Brox, Francesco Locatello:
Bridging the Gap to Real-World Object-Centric Learning. CoRR abs/2209.14860 (2022) - [i87]Simon Schrodi, Danny Stoll, Binxin Ru, Rhea Sukthanker, Thomas Brox, Frank Hutter:
Towards Discovering Neural Architectures from Scratch. CoRR abs/2211.01842 (2022) - [i86]Silvio Galesso, Max Argus, Thomas Brox:
Far Away in the Deep Space: Nearest-Neighbor-Based Dense Out-of-Distribution Detection. CoRR abs/2211.06660 (2022) - [i85]María Alejandra Bravo, Sudhanshu Mittal, Simon Ging, Thomas Brox:
Open-vocabulary Attribute Detection. CoRR abs/2211.12914 (2022) - 2021
- [j41]Juan León Alcázar, María Alejandra Bravo, Guillaume Jeanneret, Ali K. Thabet, Thomas Brox, Pablo Arbeláez, Bernard Ghanem:
MAIN: Multi-Attention Instance Network for video segmentation. Comput. Vis. Image Underst. 210: 103240 (2021) - [j40]Sudhanshu Mittal, Maxim Tatarchenko, Thomas Brox:
Semi-Supervised Semantic Segmentation With High- and Low-Level Consistency. IEEE Trans. Pattern Anal. Mach. Intell. 43(4): 1369-1379 (2021) - [c145]Andong Tan, Duc Tam Nguyen, Maximilian Dax, Matthias Nießner, Thomas Brox:
Explicitly Modeled Attention Maps for Image Classification. AAAI 2021: 9799-9807 - [c144]Sudhanshu Mittal, Silvio Galesso, Thomas Brox:
Essentials for Class Incremental Learning. CVPR Workshops 2021: 3513-3522 - [c143]Jan Bechtold, Maxim Tatarchenko, Volker Fischer, Thomas Brox:
Fostering Generalization in Single-View 3D Reconstruction by Learning a Hierarchy of Local and Global Shape Priors. CVPR 2021: 15880-15889 - [c142]Christian Zimmermann, Max Argus, Thomas Brox:
Contrastive Representation Learning for Hand Shape Estimation. GCPR 2021: 250-264 - [c141]Mohammadreza Zolfaghari, Yi Zhu, Peter V. Gehler, Thomas Brox:
CrossCLR: Cross-modal Contrastive Learning For Multi-modal Video Representations. ICCV 2021: 1430-1439 - [c140]Tonmoy Saikia, Cordelia Schmid, Thomas Brox:
Improving robustness against common corruptions with frequency biased models. ICCV 2021: 10191-10200 - [c139]Osama Makansi, Özgün Çiçek, Yassine Marrakchi, Thomas Brox:
On Exposing the Challenging Long Tail in Future Prediction of Traffic Actors. ICCV 2021: 13127-13137 - [c138]Yassine Marrakchi, Osama Makansi, Thomas Brox:
Fighting Class Imbalance with Contrastive Learning. MICCAI (3) 2021: 466-476 - [c137]Andrés Muñoz, Mohammadreza Zolfaghari, Max Argus, Thomas Brox:
Temporal Shift GAN for Large Scale Video Generation. WACV 2021: 3178-3187 - [i84]Sudhanshu Mittal, Silvio Galesso, Thomas Brox:
Essentials for Class Incremental Learning. CoRR abs/2102.09517 (2021) - [i83]Osama Makansi, Özgün Çiçek, Yassine Marrakchi, Thomas Brox:
On Exposing the Challenging Long Tail in Future Prediction of Traffic Actors. CoRR abs/2103.12474 (2021) - [i82]Tonmoy Saikia, Cordelia Schmid, Thomas Brox:
Improving robustness against common corruptions with frequency biased models. CoRR abs/2103.16241 (2021) - [i81]Simon Schrodi, Tonmoy Saikia, Thomas Brox:
What Causes Optical Flow Networks to be Vulnerable to Physical Adversarial Attacks. CoRR abs/2103.16255 (2021) - [i80]Jan Bechtold, Maxim Tatarchenko, Volker Fischer, Thomas Brox:
Fostering Generalization in Single-view 3D Reconstruction by Learning a Hierarchy of Local and Global Shape Priors. CoRR abs/2104.00476 (2021) - [i79]Artemij Amiranashvili, Max Argus, Lukás Hermann, Wolfram Burgard, Thomas Brox:
Pre-training of Deep RL Agents for Improved Learning under Domain Randomization. CoRR abs/2104.14386 (2021) - [i78]Julia Guerrero-Viu, Sergio Izquierdo, Philipp Schröppel, Thomas Brox:
Semi-Supervised Disparity Estimation with Deep Feature Reconstruction. CoRR abs/2106.00318 (2021) - [i77]Christian Zimmermann, Max Argus, Thomas Brox:
Contrastive Representation Learning for Hand Shape Estimation. CoRR abs/2106.04324 (2021) - [i76]Karsten Roth, Latha Pemula, Joaquin Zepeda, Bernhard Schölkopf, Thomas Brox, Peter V. Gehler:
Towards Total Recall in Industrial Anomaly Detection. CoRR abs/2106.08265 (2021) - [i75]Chaithanya Kumar Mummadi, Robin Hutmacher, Kilian Rambach, Evgeny Levinkov, Thomas Brox, Jan Hendrik Metzen:
Test-Time Adaptation to Distribution Shift by Confidence Maximization and Input Transformation. CoRR abs/2106.14999 (2021) - [i74]Ashwin Raaghav Narayanan, Arber Zela, Tonmoy Saikia, Thomas Brox, Frank Hutter:
Multi-headed Neural Ensemble Search. CoRR abs/2107.04369 (2021) - [i73]Mohammadreza Zolfaghari, Yi Zhu, Peter V. Gehler, Thomas Brox:
CrossCLR: Cross-modal Contrastive Learning For Multi-modal Video Representations. CoRR abs/2109.14910 (2021) - [i72]Osama Makansi, Julius von Kügelgen, Francesco Locatello, Peter V. Gehler, Dominik Janzing, Thomas Brox, Bernhard Schölkopf:
You Mostly Walk Alone: Analyzing Feature Attribution in Trajectory Prediction. CoRR abs/2110.05304 (2021) - [i71]Matthias Tangemann, Steffen Schneider, Julius von Kügelgen, Francesco Locatello, Peter V. Gehler, Thomas Brox, Matthias Kümmerer, Matthias Bethge, Bernhard Schölkopf:
Unsupervised Object Learning via Common Fate. CoRR abs/2110.06562 (2021) - [i70]Estibaliz Gómez-de-Mariscal, Hasini Jayatilaka, Özgün Çiçek, Thomas Brox, Denis Wirtz, Arrate Muñoz-Barrutia:
Search for temporal cell segmentation robustness in phase-contrast microscopy videos. CoRR abs/2112.08817 (2021) - 2020
- [j39]Huizhong Zhou, Benjamin Ummenhofer, Thomas Brox:
DeepTAM: Deep Tracking and Mapping with Convolutional Neural Networks. Int. J. Comput. Vis. 128(3): 756-769 (2020) - [j38]Thomas Brox, Mario Fritz:
Editor's Note. Int. J. Comput. Vis. 128(4): 969 (2020) - [j37]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) - [c136]Osama Makansi, Özgün Çiçek, Kevin Buchicchio, Thomas Brox:
Multimodal Future Localization and Emergence Prediction for Objects in Egocentric View With a Reachability Prior. CVPR 2020: 4353-4362 - [c135]Duc Tam Nguyen, Chaithanya Kumar Mummadi, Thi-Phuong-Nhung Ngo, Thi Hoai Phuong Nguyen, Laura Beggel, Thomas Brox:
SELF: Learning to Filter Noisy Labels with Self-Ensembling. ICLR 2020 - [c134]Arber Zela, Thomas Elsken, Tonmoy Saikia, Yassine Marrakchi, Thomas Brox, Frank Hutter:
Understanding and Robustifying Differentiable Architecture Search. ICLR 2020 - [c133]Lukás Hermann, Max Argus, Andreas Eitel, Artemij Amiranashvili, Wolfram Burgard, Thomas Brox:
Adaptive Curriculum Generation from Demonstrations for Sim-to-Real Visuomotor Control. ICRA 2020: 6498-6505 - [c132]Johannes Meyer, Andreas Eitel, Thomas Brox, Wolfram Burgard:
Improving Unimodal Object Recognition with Multimodal Contrastive Learning. IROS 2020: 5656-5663 - [c131]Max Argus, Lukás Hermann, Jon Long, Thomas Brox:
FlowControl: Optical Flow Based Visual Servoing. IROS 2020: 7534-7541 - [c130]Anton Böhm, Nikolaus Mayer, Thomas Brox:
Diskmask: Focusing Object Features for Accurate Instance Segmentation of Elongated or Overlapping Objects. ISBI 2020: 230-234 - [c129]Özgün Çiçek, Yassine Marrakchi, Enoch Boasiako Antwi, Barbara Di Ventura, Thomas Brox:
Recovering the Imperfect: Cell Segmentation in the Presence of Dynamically Localized Proteins. iMIMIC/MIL3ID/LABELS@MICCAI 2020: 85-93 - [c128]Simon Ging, Mohammadreza Zolfaghari, Hamed Pirsiavash, Thomas Brox:
COOT: Cooperative Hierarchical Transformer for Video-Text Representation Learning. NeurIPS 2020 - [e31]Andrea Vedaldi, Horst Bischof, Thomas Brox, Jan-Michael Frahm:
Computer Vision - ECCV 2020 - 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part I. Lecture Notes in Computer Science 12346, Springer 2020, ISBN 978-3-030-58451-1 [contents] - [e30]Andrea Vedaldi, Horst Bischof, Thomas Brox, Jan-Michael Frahm:
Computer Vision - ECCV 2020 - 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part II. Lecture Notes in Computer Science 12347, Springer 2020, ISBN 978-3-030-58535-8 [contents] - [e29]Andrea Vedaldi, Horst Bischof, Thomas Brox, Jan-Michael Frahm:
Computer Vision - ECCV 2020 - 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part III. Lecture Notes in Computer Science 12348, Springer 2020, ISBN 978-3-030-58579-2 [contents] - [e28]Andrea Vedaldi, Horst Bischof, Thomas Brox, Jan-Michael Frahm:
Computer Vision - ECCV 2020 - 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part IV. Lecture Notes in Computer Science 12349, Springer 2020, ISBN 978-3-030-58547-1 [contents] - [e27]Andrea Vedaldi, Horst Bischof, Thomas Brox, Jan-Michael Frahm:
Computer Vision - ECCV 2020 - 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part V. Lecture Notes in Computer Science 12350, Springer 2020, ISBN 978-3-030-58557-0 [contents] - [e26]Andrea Vedaldi, Horst Bischof, Thomas Brox, Jan-Michael Frahm:
Computer Vision - ECCV 2020 - 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part VI. Lecture Notes in Computer Science 12351, Springer 2020, ISBN 978-3-030-58538-9 [contents] - [e25]Andrea Vedaldi, Horst Bischof, Thomas Brox, Jan-Michael Frahm:
Computer Vision - ECCV 2020 - 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part VII. Lecture Notes in Computer Science 12352, Springer 2020, ISBN 978-3-030-58570-9 [contents] - [e24]Andrea Vedaldi, Horst Bischof, Thomas Brox, Jan-Michael Frahm:
Computer Vision - ECCV 2020 - 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part VIII. Lecture Notes in Computer Science 12353, Springer 2020, ISBN 978-3-030-58597-6 [contents] - [e23]Andrea Vedaldi, Horst Bischof, Thomas Brox, Jan-Michael Frahm:
Computer Vision - ECCV 2020 - 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part IX. Lecture Notes in Computer Science 12354, Springer 2020, ISBN 978-3-030-58544-0 [contents] - [e22]Andrea Vedaldi, Horst Bischof, Thomas Brox, Jan-Michael Frahm:
Computer Vision - ECCV 2020 - 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part X. Lecture Notes in Computer Science 12355, Springer 2020, ISBN 978-3-030-58606-5 [contents] - [e21]Andrea Vedaldi, Horst Bischof, Thomas Brox, Jan-Michael Frahm:
Computer Vision - ECCV 2020 - 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part XI. Lecture Notes in Computer Science 12356, Springer 2020, ISBN 978-3-030-58620-1 [contents] - [e20]Andrea Vedaldi, Horst Bischof, Thomas Brox, Jan-Michael Frahm:
Computer Vision - ECCV 2020 - 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part XII. Lecture Notes in Computer Science 12357, Springer 2020, ISBN 978-3-030-58609-6 [contents] - [e19]Andrea Vedaldi, Horst Bischof, Thomas Brox, Jan-Michael Frahm:
Computer Vision - ECCV 2020 - 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part XIII. Lecture Notes in Computer Science 12358, Springer 2020, ISBN 978-3-030-58600-3 [contents] - [e18]Andrea Vedaldi, Horst Bischof, Thomas Brox, Jan-Michael Frahm:
Computer Vision - ECCV 2020 - 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part XIV. Lecture Notes in Computer Science 12359, Springer 2020, ISBN 978-3-030-58567-9 [contents] - [e17]Andrea Vedaldi, Horst Bischof, Thomas Brox, Jan-Michael Frahm:
Computer Vision - ECCV 2020 - 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part XV. Lecture Notes in Computer Science 12360, Springer 2020, ISBN 978-3-030-58554-9 [contents] - [e16]Andrea Vedaldi, Horst Bischof, Thomas Brox, Jan-Michael Frahm:
Computer Vision - ECCV 2020 - 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part XVI. Lecture Notes in Computer Science 12361, Springer 2020, ISBN 978-3-030-58516-7 [contents] - [e15]Andrea Vedaldi, Horst Bischof, Thomas Brox, Jan-Michael Frahm:
Computer Vision - ECCV 2020 - 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part XVII. Lecture Notes in Computer Science 12362, Springer 2020, ISBN 978-3-030-58519-8 [contents] - [e14]Andrea Vedaldi, Horst Bischof, Thomas Brox, Jan-Michael Frahm:
Computer Vision - ECCV 2020 - 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part XVIII. Lecture Notes in Computer Science 12363, Springer 2020, ISBN 978-3-030-58522-8 [contents] - [e13]Andrea Vedaldi, Horst Bischof, Thomas Brox, Jan-Michael Frahm:
Computer Vision - ECCV 2020 - 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part XIX. Lecture Notes in Computer Science 12364, Springer 2020, ISBN 978-3-030-58528-0 [contents] - [e12]Andrea Vedaldi, Horst Bischof, Thomas Brox, Jan-Michael Frahm:
Computer Vision - ECCV 2020 - 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part XX. Lecture Notes in Computer Science 12365, Springer 2020, ISBN 978-3-030-58564-8 [contents] - [e11]Andrea Vedaldi, Horst Bischof, Thomas Brox, Jan-Michael Frahm:
Computer Vision - ECCV 2020 - 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part XXI. Lecture Notes in Computer Science 12366, Springer 2020, ISBN 978-3-030-58588-4 [contents] - [e10]Andrea Vedaldi, Horst Bischof, Thomas Brox, Jan-Michael Frahm:
Computer Vision - ECCV 2020 - 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part XXII. Lecture Notes in Computer Science 12367, Springer 2020, ISBN 978-3-030-58541-9 [contents] - [e9]Andrea Vedaldi, Horst Bischof, Thomas Brox, Jan-Michael Frahm:
Computer Vision - ECCV 2020 - 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part XXIII. Lecture Notes in Computer Science 12368, Springer 2020, ISBN 978-3-030-58591-4 [contents] - [e8]Andrea Vedaldi, Horst Bischof, Thomas Brox, Jan-Michael Frahm:
Computer Vision - ECCV 2020 - 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part XXIV. Lecture Notes in Computer Science 12369, Springer 2020, ISBN 978-3-030-58585-3 [contents] - [e7]Andrea Vedaldi, Horst Bischof, Thomas Brox, Jan-Michael Frahm:
Computer Vision - ECCV 2020 - 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part XXV. Lecture Notes in Computer Science 12370, Springer 2020, ISBN 978-3-030-58594-5 [contents] - [e6]Andrea Vedaldi, Horst Bischof, Thomas Brox, Jan-Michael Frahm:
Computer Vision - ECCV 2020 - 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part XXVI. Lecture Notes in Computer Science 12371, Springer 2020, ISBN 978-3-030-58573-0 [contents] - [e5]Andrea Vedaldi, Horst Bischof, Thomas Brox, Jan-Michael Frahm:
Computer Vision - ECCV 2020 - 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part XXVII. Lecture Notes in Computer Science 12372, Springer 2020, ISBN 978-3-030-58582-2 [contents] - [e4]Andrea Vedaldi, Horst Bischof, Thomas Brox, Jan-Michael Frahm:
Computer Vision - ECCV 2020 - 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part XXVIII. Lecture Notes in Computer Science 12373, Springer 2020, ISBN 978-3-030-58603-4 [contents] - [e3]Andrea Vedaldi, Horst Bischof, Thomas Brox, Jan-Michael Frahm:
Computer Vision - ECCV 2020 - 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part XXIX. Lecture Notes in Computer Science 12374, Springer 2020, ISBN 978-3-030-58525-9 [contents] - [e2]Andrea Vedaldi, Horst Bischof, Thomas Brox, Jan-Michael Frahm:
Computer Vision - ECCV 2020 - 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part XXX. Lecture Notes in Computer Science 12375, Springer 2020, ISBN 978-3-030-58576-1 [contents] - [i69]Tonmoy Saikia, Thomas Brox, Cordelia Schmid:
Optimized Generic Feature Learning for Few-shot Classification across Domains. CoRR abs/2001.07926 (2020) - [i68]Andrés Muñoz, Mohammadreza Zolfaghari, Max Argus, Thomas Brox:
Multi-Variate Temporal GAN for Large Scale Video Generation. CoRR abs/2004.01823 (2020) - [i67]Osama Makansi, Özgün Çiçek, Kevin Buchicchio, Thomas Brox:
Multimodal Future Localization and Emergence Prediction for Objects in Egocentric View with a Reachability Prior. CoRR abs/2006.04700 (2020) - [i66]Andong Tan, Duc Tam Nguyen, Maximilian Dax, Matthias Nießner, Thomas Brox:
Explicitly Modeled Attention Maps for Image Classification. CoRR abs/2006.07872 (2020) - [i65]Max Argus, Lukás Hermann, Jon Long, Thomas Brox:
FlowControl: Optical Flow Based Visual Servoing. CoRR abs/2007.00291 (2020) - [i64]Artemij Amiranashvili, Nicolai Dorka, Wolfram Burgard, Vladlen Koltun, Thomas Brox:
Scaling Imitation Learning in Minecraft. CoRR abs/2007.02701 (2020) - [i63]Gabriel L. Oliveira, Senthil Kumar Yogamani, Wolfram Burgard, Thomas Brox:
Beyond Single Stage Encoder-Decoder Networks: Deep Decoders for Semantic Image Segmentation. CoRR abs/2007.09746 (2020) - [i62]Simon Ging, Mohammadreza Zolfaghari, Hamed Pirsiavash, Thomas Brox:
COOT: Cooperative Hierarchical Transformer for Video-Text Representation Learning. CoRR abs/2011.00597 (2020) - [i61]Özgün Çiçek, Yassine Marrakchi, Enoch Boasiako Antwi, Barbara Di Ventura, Thomas Brox:
Recovering the Imperfect: Cell Segmentation in the Presence of Dynamically Localized Proteins. CoRR abs/2011.10486 (2020)
2010 – 2019
- 2019
- [j36]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) - [j35]Peter Ochs, Jalal Fadili, Thomas Brox:
Non-smooth Non-convex Bregman Minimization: Unification and New Algorithms. J. Optim. Theory Appl. 181(1): 244-278 (2019) - [c127]Maxim Tatarchenko, Stephan R. Richter, René Ranftl, Zhuwen Li, Vladlen Koltun, Thomas Brox:
What Do Single-View 3D Reconstruction Networks Learn? CVPR 2019: 3405-3414 - [c126]Osama Makansi, Eddy Ilg, Özgün Çiçek, Thomas Brox:
Overcoming Limitations of Mixture Density Networks: A Sampling and Fitting Framework for Multimodal Future Prediction. CVPR 2019: 7144-7153 - [c125]José M. Fácil, Benjamin Ummenhofer, Huizhong Zhou, Luis Montesano, Thomas Brox, Javier Civera:
CAM-Convs: Camera-Aware Multi-Scale Convolutions for Single-View Depth. CVPR 2019: 11826-11835 - [c124]Chaithanya Kumar Mummadi, Tim Genewein, Dan Zhang, Thomas Brox, Volker Fischer:
Group Pruning Using a Bounded-ℓp Norm for Group Gating and Regularization. GCPR 2019: 139-155 - [c123]Christian Zimmermann, Duygu Ceylan, Jimei Yang, Bryan C. Russell, Max J. Argus, Thomas Brox:
FreiHAND: A Dataset for Markerless Capture of Hand Pose and Shape From Single RGB Images. ICCV 2019: 813-822 - [c122]Tonmoy Saikia, Yassine Marrakchi, Arber Zela, Frank Hutter, Thomas Brox:
AutoDispNet: Improving Disparity Estimation With AutoML. ICCV 2019: 1812-1823 - [c121]Chaithanya Kumar Mummadi, Thomas Brox, Jan Hendrik Metzen:
Defending Against Universal Perturbations With Shared Adversarial Training. ICCV 2019: 4927-4936 - [c120]Duc Tam Nguyen, Zhongyu Lou, Michael Klar, Thomas Brox:
Anomaly Detection With Multiple-Hypotheses Predictions. ICML 2019: 4800-4809 - [c119]Dejan Kaljaca, Nikolaus Mayer, Bastiaan A. Vroegindeweij, Angelo Mencarelli, Eldert J. van Henten, Thomas Brox:
Automated Boxwood Topiary Trimming with a Robotic Arm and Integrated Stereo Vision*. IROS 2019: 5542-5549 - [c118]Oier Mees, Maxim Tatarchenko, Thomas Brox, Wolfram Burgard:
Self-supervised 3D Shape and Viewpoint Estimation from Single Images for Robotics. IROS 2019: 6083-6089 - [c117]Duc Tam Nguyen, Maximilian Dax, Chaithanya Kumar Mummadi, Thi-Phuong-Nhung Ngo, Thi Hoai Phuong Nguyen, Zhongyu Lou, Thomas Brox:
DeepUSPS: Deep Robust Unsupervised Saliency Prediction via Self-supervision. NeurIPS 2019: 204-214 - [e1]Thomas Brox, Andrés Bruhn, Mario Fritz:
Pattern Recognition - 40th German Conference, GCPR 2018, Stuttgart, Germany, October 9-12, 2018, Proceedings. Lecture Notes in Computer Science 11269, Springer 2019, ISBN 978-3-030-12938-5 [contents] - [i60]Artemij Amiranashvili, Alexey Dosovitskiy, Vladlen Koltun, Thomas Brox:
Motion Perception in Reinforcement Learning with Dynamic Objects. CoRR abs/1901.03162 (2019) - [i59]Aditya Bhatt, Daniel Palenicek, Boris Belousov, Max Argus, Artemij Amiranashvili, Thomas Brox, Jan Peters:
CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity. CoRR abs/1902.05605 (2019) - [i58]José M. Fácil, Benjamin Ummenhofer, Huizhong Zhou, Luis Montesano, Thomas Brox, Javier Civera:
CAM-Convs: Camera-Aware Multi-Scale Convolutions for Single-View Depth. CoRR abs/1904.02028 (2019) - [i57]Juan Leon Alcazar, María Alejandra Bravo, Ali K. Thabet, Guillaume Jeanneret, Thomas Brox, Pablo Arbeláez, Bernard Ghanem:
MAIN: Multi-Attention Instance Network for Video Segmentation. CoRR abs/1904.05847 (2019) - [i56]Mohammadreza Zolfaghari, Özgün Çiçek, Syed Mohsin Ali, Farzaneh Mahdisoltani, Can Zhang, Thomas Brox:
Learning Representations for Predicting Future Activities. CoRR abs/1905.03578 (2019) - [i55]Maxim Tatarchenko, Stephan R. Richter, René Ranftl, Zhuwen Li, Vladlen Koltun, Thomas Brox:
What Do Single-view 3D Reconstruction Networks Learn? CoRR abs/1905.03678 (2019) - [i54]Tonmoy Saikia, Yassine Marrakchi, Arber Zela, Frank Hutter, Thomas Brox:
AutoDispNet: Improving Disparity Estimation with AutoML. CoRR abs/1905.07443 (2019) - [i53]Duc Tam Nguyen, Thi-Phuong-Nhung Ngo, Zhongyu Lou, Michael Klar, Laura Beggel, Thomas Brox:
Robust Learning Under Label Noise With Iterative Noise-Filtering. CoRR abs/1906.00216 (2019) - [i52]Osama Makansi, Eddy Ilg, Özgün Çiçek, Thomas Brox:
Overcoming Limitations of Mixture Density Networks: A Sampling and Fitting Framework for Multimodal Future Prediction. CoRR abs/1906.03631 (2019) - [i51]Chaithanya Kumar Mummadi, Tim Genewein, Dan Zhang, Thomas Brox, Volker Fischer:
Group Pruning using a Bounded-Lp norm for Group Gating and Regularization. CoRR abs/1908.03463 (2019) - [i50]Sudhanshu Mittal, Maxim Tatarchenko, Thomas Brox:
Semi-Supervised Semantic Segmentation with High- and Low-level Consistency. CoRR abs/1908.05724 (2019) - [i49]Christian Zimmermann, Duygu Ceylan, Jimei Yang, Bryan C. Russell, Max Argus, Thomas Brox:
FreiHAND: A Dataset for Markerless Capture of Hand Pose and Shape from Single RGB Images. CoRR abs/1909.04349 (2019) - [i48]Arber Zela, Thomas Elsken, Tonmoy Saikia, Yassine Marrakchi, Thomas Brox, Frank Hutter:
Understanding and Robustifying Differentiable Architecture Search. CoRR abs/1909.09656 (2019) - [i47]Duc Tam Nguyen, Maximilian Dax, Chaithanya Kumar Mummadi, Thi-Phuong-Nhung Ngo, Thi Hoai Phuong Nguyen, Zhongyu Lou, Thomas Brox:
DeepUSPS: Deep Robust Unsupervised Saliency Prediction With Self-Supervision. CoRR abs/1909.13055 (2019) - [i46]Duc Tam Nguyen, Chaithanya Kumar Mummadi, Thi-Phuong-Nhung Ngo, Thi Hoai Phuong Nguyen, Laura Beggel, Thomas Brox:
SELF: Learning to Filter Noisy Labels with Self-Ensembling. CoRR abs/1910.01842 (2019) - [i45]Oier Mees, Maxim Tatarchenko, Thomas Brox, Wolfram Burgard:
Self-supervised 3D Shape and Viewpoint Estimation from Single Images for Robotics. CoRR abs/1910.07948 (2019) - [i44]Lukás Hermann, Max Argus, Andreas Eitel, Artemij Amiranashvili, Wolfram Burgard, Thomas Brox:
Adaptive Curriculum Generation from Demonstrations for Sim-to-Real Visuomotor Control. CoRR abs/1910.07972 (2019) - [i43]Sudhanshu Mittal, Maxim Tatarchenko, Özgün Çiçek, Thomas Brox:
Parting with Illusions about Deep Active Learning. CoRR abs/1912.05361 (2019) - 2018
- [j34]Nikolaus Mayer, Eddy Ilg, Philipp Fischer, Caner Hazirbas, Daniel Cremers, Alexey Dosovitskiy, Thomas Brox:
What Makes Good Synthetic Training Data for Learning Disparity and Optical Flow Estimation? Int. J. Comput. Vis. 126(9): 942-960 (2018) - [j33]Manuel Ruder, Alexey Dosovitskiy, Thomas Brox:
Artistic Style Transfer for Videos and Spherical Images. Int. J. Comput. Vis. 126(11): 1199-1219 (2018) - [j32]Gabriel L. Oliveira, Claas Bollen, Wolfram Burgard, Thomas Brox:
Efficient and robust deep networks for semantic segmentation. Int. J. Robotics Res. 37(4-5): 472-491 (2018) - [c116]Artemij Amiranashvili, Alexey Dosovitskiy, Vladlen Koltun, Thomas Brox:
Motion Perception in Reinforcement Learning with Dynamic Objects. CoRL 2018: 156-168 - [c115]Eddy Ilg, Tonmoy Saikia, Margret Keuper, Thomas Brox:
Occlusions, Motion and Depth Boundaries with a Generic Network for Disparity, Optical Flow or Scene Flow Estimation. ECCV (12) 2018: 626-643 - [c114]Radim Tylecek, Torsten Sattler, Hoang-An Le, Thomas Brox, Marc Pollefeys, Robert B. Fisher, Theo Gevers:
The Second Workshop on 3D Reconstruction Meets Semantics: Challenge Results Discussion. ECCV Workshops (3) 2018: 631-644 - [c113]Eddy Ilg, Özgün Çiçek, Silvio Galesso, Aaron Klein, Osama Makansi, Frank Hutter, Thomas Brox:
Uncertainty Estimates and Multi-hypotheses Networks for Optical Flow. ECCV (7) 2018: 677-693 - [c112]Denis Tananaev, Huizhong Zhou, Benjamin Ummenhofer, Thomas Brox:
Temporally Consistent Depth Estimation in Videos with Recurrent Architectures. ECCV Workshops (3) 2018: 689-701 - [c111]Mohammadreza Zolfaghari, Kamaljeet Singh, Thomas Brox:
ECO: Efficient Convolutional Network for Online Video Understanding. ECCV (2) 2018: 713-730 - [c110]Huizhong Zhou, Benjamin Ummenhofer, Thomas Brox:
DeepTAM: Deep Tracking and Mapping. ECCV (16) 2018: 851-868 - [c109]Artemij Amiranashvili, Alexey Dosovitskiy, Vladlen Koltun, Thomas Brox:
TD or not TD: Analyzing the Role of Temporal Differencing in Deep Reinforcement Learning. ICLR (Poster) 2018 - [c108]Christian Zimmermann, Tim Welschehold, Christian Dornhege, Wolfram Burgard, Thomas Brox:
3D Human Pose Estimation in RGBD Images for Robotic Task Learning. ICRA 2018: 1986-1992 - [c107]Gabriel L. Oliveira, Wolfram Burgard, Thomas Brox:
DPDB-Net: Exploiting Dense Connections for Convolutional Encoders. ICRA 2018: 4525-4531 - [c106]Jonas Uhrig, Eike Rehder, Björn Fröhlich, Uwe Franke, Thomas Brox:
Box2Pix: Single-Shot Instance Segmentation by Assigning Pixels to Object Boxes. Intelligent Vehicles Symposium 2018: 292-299 - [i42]Nikolaus Mayer, Eddy Ilg, Philipp Fischer, Caner Hazirbas, Daniel Cremers, Alexey Dosovitskiy, Thomas Brox:
What Makes Good Synthetic Training Data for Learning Disparity and Optical Flow Estimation? CoRR abs/1801.06397 (2018) - [i41]Eddy Ilg, Özgün Çiçek, Silvio Galesso, Aaron Klein, Osama Makansi, Frank Hutter, Thomas Brox:
Uncertainty Estimates for Optical Flow with Multi-Hypotheses Networks. CoRR abs/1802.07095 (2018) - [i40]Christian Zimmermann, Tim Welschehold, Christian Dornhege, Wolfram Burgard, Thomas Brox:
3D Human Pose Estimation in RGBD Images for Robotic Task Learning. CoRR abs/1803.02622 (2018) - [i39]Nicola Strisciuglio, Radim Tylecek, Nicolai Petkov, Peter Bieber, Jochen Hemming, Eldert J. van Henten, Torsten Sattler, Marc Pollefeys, Theo Gevers, Thomas Brox, Robert B. Fisher:
TrimBot2020: an outdoor robot for automatic gardening. CoRR abs/1804.01792 (2018) - [i38]Mohammadreza Zolfaghari, Kamaljeet Singh, Thomas Brox:
ECO: Efficient Convolutional Network for Online Video Understanding. CoRR abs/1804.09066 (2018) - [i37]Artemij Amiranashvili, Alexey Dosovitskiy, Vladlen Koltun, Thomas Brox:
TD or not TD: Analyzing the Role of Temporal Differencing in Deep Reinforcement Learning. CoRR abs/1806.01175 (2018) - [i36]Eddy Ilg, Tonmoy Saikia, Margret Keuper, Thomas Brox:
Occlusions, Motion and Depth Boundaries with a Generic Network for Disparity, Optical Flow or Scene Flow Estimation. CoRR abs/1808.01838 (2018) - [i35]Huizhong Zhou, Benjamin Ummenhofer, Thomas Brox:
DeepTAM: Deep Tracking and Mapping. CoRR abs/1808.01900 (2018) - [i34]Osama Makansi, Eddy Ilg, Thomas Brox:
FusionNet and AugmentedFlowNet: Selective Proxy Ground Truth for Training on Unlabeled Images. CoRR abs/1808.06389 (2018) - [i33]Duc Tam Nguyen, Zhongyu Lou, Michael Klar, Thomas Brox:
Consistency-based anomaly detection with adaptive multiple-hypotheses predictions. CoRR abs/1810.13292 (2018) - [i32]Chaithanya Kumar Mummadi, Thomas Brox, Jan Hendrik Metzen:
Defending against Universal Perturbations with Shared Adversarial Training. CoRR abs/1812.03705 (2018) - 2017
- [j31]Robert Bensch, Nico Scherf, Jan Huisken, Thomas Brox, Olaf Ronneberger:
Spatiotemporal Deformable Prototypes for Motion Anomaly Detection. Int. J. Comput. Vis. 122(3): 502-523 (2017) - [j30]Benjamin Ummenhofer, Thomas Brox:
Global, Dense Multiscale Reconstruction for a Billion Points. Int. J. Comput. Vis. 125(1-3): 82-94 (2017) - [j29]Alexey Dosovitskiy, Jost Tobias Springenberg, Maxim Tatarchenko, Thomas Brox:
Learning to Generate Chairs, Tables and Cars with Convolutional Networks. IEEE Trans. Pattern Anal. Mach. Intell. 39(4): 692-705 (2017) - [c105]Jonas Uhrig, Nick Schneider, Lukas Schneider, Uwe Franke, Thomas Brox, Andreas Geiger:
Sparsity Invariant CNNs. 3DV 2017: 11-20 - [c104]Nima Sedaghat, Mohammadreza Zolfaghari, Ehsan Amiri, Thomas Brox:
Orientation-boosted Voxel Nets for 3D Object Recognition. BMVC 2017 - [c103]Eddy Ilg, Nikolaus Mayer, Tonmoy Saikia, Margret Keuper, Alexey Dosovitskiy, Thomas Brox:
FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks. CVPR 2017: 1647-1655 - [c102]Evgeny Levinkov, Jonas Uhrig, Siyu Tang, Mohamed Omran, Eldar Insafutdinov, Alexander Kirillov, Carsten Rother, Thomas Brox, Bernt Schiele, Bjoern Andres:
Joint Graph Decomposition & Node Labeling: Problem, Algorithms, Applications. CVPR 2017: 1904-1912 - [c101]Benjamin Ummenhofer, Huizhong Zhou, Jonas Uhrig, Nikolaus Mayer, Eddy Ilg, Alexey Dosovitskiy, Thomas Brox:
DeMoN: Depth and Motion Network for Learning Monocular Stereo. CVPR 2017: 5622-5631 - [c100]Osama Makansi, Eddy Ilg, Thomas Brox:
End-to-End Learning of Video Super-Resolution with Motion Compensation. GCPR 2017: 203-214 - [c99]Maxim Tatarchenko, Alexey Dosovitskiy, Thomas Brox:
Octree Generating Networks: Efficient Convolutional Architectures for High-resolution 3D Outputs. ICCV 2017: 2107-2115 - [c98]Jan Hendrik Metzen, Mummadi Chaithanya Kumar, Thomas Brox, Volker Fischer:
Universal Adversarial Perturbations Against Semantic Image Segmentation. ICCV 2017: 2774-2783 - [c97]Mohammadreza Zolfaghari, Gabriel L. Oliveira, Nima Sedaghat, Thomas Brox:
Chained Multi-stream Networks Exploiting Pose, Motion, and Appearance for Action Classification and Detection. ICCV 2017: 2923-2932 - [c96]Christian Zimmermann, Thomas Brox:
Learning to Estimate 3D Hand Pose from Single RGB Images. ICCV 2017: 4913-4921 - [c95]Volker Fischer, Mummadi Chaithanya Kumar, Jan Hendrik Metzen, Thomas Brox:
Adversarial Examples for Semantic Image Segmentation. ICLR (Workshop) 2017 - [c94]Tayyab Naseer, Gabriel L. Oliveira, Thomas Brox, Wolfram Burgard:
Semantics-aware visual localization under challenging perceptual conditions. ICRA 2017: 2614-2620 - [c93]Gabriel L. Oliveira, Noha Radwan, Wolfram Burgard, Thomas Brox:
Topometric Localization with Deep Learning. ISRR 2017: 505-520 - [i31]Volker Fischer, Mummadi Chaithanya Kumar, Jan Hendrik Metzen, Thomas Brox:
Adversarial Examples for Semantic Image Segmentation. CoRR abs/1703.01101 (2017) - [i30]Maxim Tatarchenko, Alexey Dosovitskiy, Thomas Brox:
Octree Generating Networks: Efficient Convolutional Architectures for High-resolution 3D Outputs. CoRR abs/1703.09438 (2017) - [i29]Anna Khoreva, Rodrigo Benenson, Eddy Ilg, Thomas Brox, Bernt Schiele:
Lucid Data Dreaming for Object Tracking. CoRR abs/1703.09554 (2017) - [i28]Mohammadreza Zolfaghari, Gabriel L. Oliveira, Nima Sedaghat, Thomas Brox:
Chained Multi-stream Networks Exploiting Pose, Motion, and Appearance for Action Classification and Detection. CoRR abs/1704.00616 (2017) - [i27]Jan Hendrik Metzen, Mummadi Chaithanya Kumar, Thomas Brox, Volker Fischer:
Universal Adversarial Perturbations Against Semantic Image Segmentation. CoRR abs/1704.05712 (2017) - [i26]Christian Zimmermann, Thomas Brox:
Learning to Estimate 3D Hand Pose from Single RGB Images. CoRR abs/1705.01389 (2017) - [i25]Gabriel L. Oliveira, Noha Radwan, Wolfram Burgard, Thomas Brox:
Topometric Localization with Deep Learning. CoRR abs/1706.08775 (2017) - [i24]Osama Makansi, Eddy Ilg, Thomas Brox:
End-to-End Learning of Video Super-Resolution with Motion Compensation. CoRR abs/1707.00471 (2017) - [i23]Peter Ochs, Jalal Fadili, Thomas Brox:
Non-smooth Non-convex Bregman Minimization: Unification and new Algorithms. CoRR abs/1707.02278 (2017) - [i22]Manuel Ruder, Alexey Dosovitskiy, Thomas Brox:
Artistic style transfer for videos and spherical images. CoRR abs/1708.04538 (2017) - [i21]Jonas Uhrig, Nick Schneider, Lukas Schneider, Uwe Franke, Thomas Brox, Andreas Geiger:
Sparsity Invariant CNNs. CoRR abs/1708.06500 (2017) - 2016
- [j28]Peter Ochs, René Ranftl, Thomas Brox, Thomas Pock:
Techniques for Gradient-Based Bilevel Optimization with Non-smooth Lower Level Problems. J. Math. Imaging Vis. 56(2): 175-194 (2016) - [j27]Alexey Dosovitskiy, Philipp Fischer, Jost Tobias Springenberg, Martin A. Riedmiller, Thomas Brox:
Discriminative Unsupervised Feature Learning with Exemplar Convolutional Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 38(9): 1734-1747 (2016) - [j26]Vladimir Golkov, Alexey Dosovitskiy, Jonathan I. Sperl, Marion I. Menzel, Michael Czisch, Philipp G. Sämann, Thomas Brox, Daniel Cremers:
q-Space Deep Learning: Twelve-Fold Shorter and Model-Free Diffusion MRI Scans. IEEE Trans. Medical Imaging 35(5): 1344-1351 (2016) - [j25]Maddalena Strumia, Frank R. Schmidt, Constantinos Anastasopoulos, Cristina Granziera, Gunnar Krueger, Thomas Brox:
White Matter MS-Lesion Segmentation Using a Geometric Brain Model. IEEE Trans. Medical Imaging 35(7): 1636-1646 (2016) - [c92]Malte Schilling, Stefan Kopp, Sven Wachsmuth, Britta Wrede, Helge J. Ritter, Thomas Brox, Bernhard Nebel, Wolfram Burgard:
Towards A Multidimensional Perspective on Shared Autonomy. AAAI Fall Symposia 2016 - [c91]Nikolaus Mayer, Eddy Ilg, Philip Häusser, Philipp Fischer, Daniel Cremers, Alexey Dosovitskiy, Thomas Brox:
A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation. CVPR 2016: 4040-4048 - [c90]Alexey Dosovitskiy, Thomas Brox:
Inverting Visual Representations with Convolutional Networks. CVPR 2016: 4829-4837 - [c89]Jonas Uhrig, Marius Cordts, Uwe Franke, Thomas Brox:
Pixel-Level Encoding and Depth Layering for Instance-Level Semantic Labeling. GCPR 2016: 14-25 - [c88]Manuel Ruder, Alexey Dosovitskiy, Thomas Brox:
Artistic Style Transfer for Videos. GCPR 2016: 26-36 - [c87]Maxim Tatarchenko, Alexey Dosovitskiy, Thomas Brox:
Multi-view 3D Models from Single Images with a Convolutional Network. ECCV (7) 2016: 322-337 - [c86]Margret Keuper, Thomas Brox:
Point-Wise Mutual Information-Based Video Segmentation with High Temporal Consistency. ECCV Workshops (3) 2016: 789-803 - [c85]Gabriel L. Oliveira, Abhinav Valada, Claas Bollen, Wolfram Burgard, Thomas Brox:
Deep learning for human part discovery in images. ICRA 2016: 1634-1641 - [c84]Gabriel L. Oliveira, Wolfram Burgard, Thomas Brox:
Efficient deep models for monocular road segmentation. IROS 2016: 4885-4891 - [c83]Abhinav Valada, Gabriel L. Oliveira, Thomas Brox, Wolfram Burgard:
Deep Multispectral Semantic Scene Understanding of Forested Environments Using Multimodal Fusion. ISER 2016: 465-477 - [c82]Özgün Çiçek, Ahmed Abdulkadir, Soeren S. Lienkamp, Thomas Brox, Olaf Ronneberger:
3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation. MICCAI (2) 2016: 424-432 - [c81]Alexey Dosovitskiy, Thomas Brox:
Generating Images with Perceptual Similarity Metrics based on Deep Networks. NIPS 2016: 658-666 - [c80]Anh Mai Nguyen, Alexey Dosovitskiy, Jason Yosinski, Thomas Brox, Jeff Clune:
Synthesizing the preferred inputs for neurons in neural networks via deep generator networks. NIPS 2016: 3387-3395 - [c79]Vladimir Golkov, Marcin J. Skwark, Antonij Golkov, Alexey Dosovitskiy, Thomas Brox, Jens Meiler, Daniel Cremers:
Protein contact prediction from amino acid co-evolution using convolutional networks for graph-valued images. NIPS 2016: 4215-4223 - [p5]Frank R. Schmidt, Lena Gorelick, Ismail Ben Ayed, Yuri Boykov, Thomas Brox:
Shape Distances for Binary Image Segmentation. Perspectives in Shape Analysis 2016: 137-154 - [p4]Margret Keuper, Thomas Brox:
Segmentation in Point Clouds from RGB-D Using Spectral Graph Reduction. Perspectives in Shape Analysis 2016: 155-168 - [i20]Alexey Dosovitskiy, Thomas Brox:
Generating Images with Perceptual Similarity Metrics based on Deep Networks. CoRR abs/1602.02644 (2016) - [i19]Nima Sedaghat, Mohammadreza Zolfaghari, Thomas Brox:
Orientation-boosted Voxel Nets for 3D Object Recognition. CoRR abs/1604.03351 (2016) - [i18]Jonas Uhrig, Marius Cordts, Uwe Franke, Thomas Brox:
Pixel-level Encoding and Depth Layering for Instance-level Semantic Labeling. CoRR abs/1604.05096 (2016) - [i17]Manuel Ruder, Alexey Dosovitskiy, Thomas Brox:
Artistic style transfer for videos. CoRR abs/1604.08610 (2016) - [i16]Anh Mai Nguyen, Alexey Dosovitskiy, Jason Yosinski, Thomas Brox, Jeff Clune:
Synthesizing the preferred inputs for neurons in neural networks via deep generator networks. CoRR abs/1605.09304 (2016) - [i15]Margret Keuper, Thomas Brox:
Point-wise mutual information-based video segmentation with high temporal consistency. CoRR abs/1606.02467 (2016) - [i14]Özgün Çiçek, Ahmed Abdulkadir, Soeren S. Lienkamp, Thomas Brox, Olaf Ronneberger:
3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation. CoRR abs/1606.06650 (2016) - [i13]Margret Keuper, Siyu Tang, Zhongjie Yu, Bjoern Andres, Thomas Brox, Bernt Schiele:
A Multi-cut Formulation for Joint Segmentation and Tracking of Multiple Objects. CoRR abs/1607.06317 (2016) - [i12]Benjamin Drayer, Thomas Brox:
Object Detection, Tracking, and Motion Segmentation for Object-level Video Segmentation. CoRR abs/1608.03066 (2016) - [i11]Eddy Ilg, Nikolaus Mayer, Tonmoy Saikia, Margret Keuper, Alexey Dosovitskiy, Thomas Brox:
FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks. CoRR abs/1612.01925 (2016) - [i10]Benjamin Ummenhofer, Huizhong Zhou, Jonas Uhrig, Nikolaus Mayer, Eddy Ilg, Alexey Dosovitskiy, Thomas Brox:
DeMoN: Depth and Motion Network for Learning Monocular Stereo. CoRR abs/1612.02401 (2016) - 2015
- [j24]Peter Ochs, Thomas Brox, Thomas Pock:
iPiasco: Inertial Proximal Algorithm for Strongly Convex Optimization. J. Math. Imaging Vis. 53(2): 171-181 (2015) - [j23]Peter Ochs, Alexey Dosovitskiy, Thomas Brox, Thomas Pock:
On Iteratively Reweighted Algorithms for Nonsmooth Nonconvex Optimization in Computer Vision. SIAM J. Imaging Sci. 8(1): 331-372 (2015) - [c78]Benjamin Drayer, Thomas Brox:
Combinatorial Regularization of Descriptor Matching for Optical Flow Estimation. BMVC 2015: 42.1-42.12 - [c77]Robert Bensch, Thomas Brox, Olaf Ronneberger:
Spatiotemporal Deformable Prototypes for Motion Anomaly Detection. BMVC 2015: 189.1-189.12 - [c76]Alexey Dosovitskiy, Jost Tobias Springenberg, Thomas Brox:
Learning to generate chairs with convolutional neural networks. CVPR 2015: 1538-1546 - [c75]Philipp Fischer, Alexey Dosovitskiy, Thomas Brox:
Image Orientation Estimation with Convolutional Networks. GCPR 2015: 368-378 - [c74]Nima Sedaghat, Thomas Brox:
Unsupervised Generation of a View Point Annotated Car Dataset from Videos. ICCV 2015: 1314-1322 - [c73]Benjamin Ummenhofer, Thomas Brox:
Global, Dense Multiscale Reconstruction for a Billion Points. ICCV 2015: 1341-1349 - [c72]Margret Keuper, Evgeny Levinkov, Nicolas Bonneel, Guillaume Lavoué, Thomas Brox, Bjoern Andres:
Efficient Decomposition of Image and Mesh Graphs by Lifted Multicuts. ICCV 2015: 1751-1759 - [c71]Alexey Dosovitskiy, Philipp Fischer, Eddy Ilg, Philip Häusser, Caner Hazirbas, Vladimir Golkov, Patrick van der Smagt, Daniel Cremers, Thomas Brox:
FlowNet: Learning Optical Flow with Convolutional Networks. ICCV 2015: 2758-2766 - [c70]Naveen Shankar Nagaraja, Frank R. Schmidt, Thomas Brox:
Video Segmentation with Just a Few Strokes. ICCV 2015: 3235-3243 - [c69]Margret Keuper, Bjoern Andres, Thomas Brox:
Motion Trajectory Segmentation via Minimum Cost Multicuts. ICCV 2015: 3271-3279 - [c68]Vladimir Golkov, Alexey Dosovitskiy, Philipp G. Sämann, Jonathan I. Sperl, Tim Sprenger, Michael Czisch, Marion I. Menzel, Pedro A. Gómez, Axel Haase, Thomas Brox, Daniel Cremers:
q-Space Deep Learning for Twelve-Fold Shorter and Model-Free Diffusion MRI Scans. MICCAI (1) 2015: 37-44 - [c67]Olaf Ronneberger, Philipp Fischer, Thomas Brox:
U-Net: Convolutional Networks for Biomedical Image Segmentation. MICCAI (3) 2015: 234-241 - [c66]Peter Ochs, René Ranftl, Thomas Brox, Thomas Pock:
Bilevel Optimization with Nonsmooth Lower Level Problems. SSVM 2015: 654-665 - [c65]Jost Tobias Springenberg, Alexey Dosovitskiy, Thomas Brox, Martin A. Riedmiller:
Striving for Simplicity: The All Convolutional Net. ICLR (Workshop) 2015 - [i9]Philipp Fischer, Alexey Dosovitskiy, Eddy Ilg, Philip Häusser, Caner Hazirbas, Vladimir Golkov, Patrick van der Smagt, Daniel Cremers, Thomas Brox:
FlowNet: Learning Optical Flow with Convolutional Networks. CoRR abs/1504.06852 (2015) - [i8]Olaf Ronneberger, Philipp Fischer, Thomas Brox:
U-Net: Convolutional Networks for Biomedical Image Segmentation. CoRR abs/1505.04597 (2015) - [i7]Margret Keuper, Evgeny Levinkov, Nicolas Bonneel, Guillaume Lavoué, Thomas Brox, Bjoern Andres:
Efficient Decomposition of Image and Mesh Graphs by Lifted Multicuts. CoRR abs/1505.06973 (2015) - [i6]Alexey Dosovitskiy, Thomas Brox:
Inverting Convolutional Networks with Convolutional Networks. CoRR abs/1506.02753 (2015) - [i5]Maxim Tatarchenko, Alexey Dosovitskiy, Thomas Brox:
Single-view to Multi-view: Reconstructing Unseen Views with a Convolutional Network. CoRR abs/1511.06702 (2015) - [i4]Nikolaus Mayer, Eddy Ilg, Philip Häusser, Philipp Fischer, Daniel Cremers, Alexey Dosovitskiy, Thomas Brox:
A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation. CoRR abs/1512.02134 (2015) - 2014
- [j22]Kun Liu, Henrik Skibbe, Thorsten Schmidt, Thomas Blein, Klaus Palme, Thomas Brox, Olaf Ronneberger:
Rotation-Invariant HOG Descriptors Using Fourier Analysis in Polar and Spherical Coordinates. Int. J. Comput. Vis. 106(3): 342-364 (2014) - [j21]Peter Ochs, Jitendra Malik, Thomas Brox:
Segmentation of Moving Objects by Long Term Video Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 36(6): 1187-1200 (2014) - [j20]Peter Ochs, Yunjin Chen, Thomas Brox, Thomas Pock:
iPiano: Inertial Proximal Algorithm for Nonconvex Optimization. SIAM J. Imaging Sci. 7(2): 1388-1419 (2014) - [c64]Erwin Kraft, Thomas Brox:
Motion Based Foreground Detection and Poselet Motion Features for Action Recognition. ACCV (5) 2014: 350-365 - [c63]Fabio Galasso, Margret Keuper, Thomas Brox, Bernt Schiele:
Spectral Graph Reduction for Efficient Image and Streaming Video Segmentation. CVPR 2014: 49-56 - [c62]Philipp Fischer, Thomas Brox:
Image Descriptors Based on Curvature Histograms. GCPR 2014: 239-249 - [c61]Thomas Brox, Fabio Galasso, Fuxin Li, James Matthew Rehg, Bernt Schiele:
First International Workshop on Video Segmentation - Panel Discussion. ECCV Workshops (4) 2014: 383-388 - [c60]Benjamin Drayer, Thomas Brox:
Training Deformable Object Models for Human Detection Based on Alignment and Clustering. ECCV (5) 2014: 406-420 - [c59]Julian Quiroga, Thomas Brox, Frédéric Devernay, James L. Crowley:
Dense Semi-rigid Scene Flow Estimation from RGBD Images. ECCV (7) 2014: 567-582 - [c58]Eddy Ilg, Rainer Kümmerle, Wolfram Burgard, Thomas Brox:
Reconstruction of rigid body models from motion distorted laser range data using optical flow. ICRA 2014: 4627-4632 - [c57]Alexey Dosovitskiy, Jost Tobias Springenberg, Martin A. Riedmiller, Thomas Brox:
Discriminative Unsupervised Feature Learning with Convolutional Neural Networks. NIPS 2014: 766-774 - [c56]Alexey Dosovitskiy, Jost Tobias Springenberg, Thomas Brox:
Unsupervised feature learning by augmenting single images. ICLR (Workshop Poster) 2014 - [r3]Thomas Brox:
Diffusion Filtering. Computer Vision, A Reference Guide 2014: 210-212 - [r2]Thomas Brox:
Maximum Likelihood Estimation. Computer Vision, A Reference Guide 2014: 481-482 - [r1]Thomas Brox:
Optical Flow. Computer Vision, A Reference Guide 2014: 565-569 - [i3]Peter Ochs, Yunjin Chen, Thomas Brox, Thomas Pock:
iPiano: Inertial Proximal Algorithm for Non-Convex Optimization. CoRR abs/1404.4805 (2014) - [i2]Alexey Dosovitskiy, Jost Tobias Springenberg, Martin A. Riedmiller, Thomas Brox:
Discriminative Unsupervised Feature Learning with Convolutional Neural Networks. CoRR abs/1406.6909 (2014) - [i1]Alexey Dosovitskiy, Jost Tobias Springenberg, Thomas Brox:
Learning to Generate Chairs with Convolutional Neural Networks. CoRR abs/1411.5928 (2014) - 2013
- [c55]Peter Ochs, Alexey Dosovitskiy, Thomas Brox, Thomas Pock:
An Iterated L1 Algorithm for Non-smooth Non-convex Optimization in Computer Vision. CVPR 2013: 1759-1766 - [c54]Margret Keuper, Thorsten Schmidt, Maja Temerinac-Ott, Jan Padeken, Patrick Heun, Olaf Ronneberger, Thomas Brox:
Blind Deconvolution of Widefield Fluorescence Microscopic Data by Regularization of the Optical Transfer Function (OTF). CVPR 2013: 2179-2186 - [c53]Dominic Mai, Philipp Fischer, Thomas Blein, Jasmin Dürr, Klaus Palme, Thomas Brox, Olaf Ronneberger:
Discriminative Detection and Alignment in Volumetric Data. GCPR 2013: 205-214 - [c52]Benjamin Drayer, Thomas Brox:
Distances Based on Non-rigid Alignment for Comparison of Different Object Instances. GCPR 2013: 215-224 - [c51]Benjamin Ummenhofer, Thomas Brox:
Point-Based 3D Reconstruction of Thin Objects. ICCV 2013: 969-976 - [c50]Fabio Galasso, Naveen Shankar Nagaraja, Tatiana Jimenez Cardenas, Thomas Brox, Bernt Schiele:
A Unified Video Segmentation Benchmark: Annotation, Metrics and Analysis. ICCV 2013: 3527-3534 - 2012
- [j19]Christian Schmaltz, Bodo Rosenhahn, Thomas Brox, Joachim Weickert:
Region-based pose tracking with occlusions using 3D models. Mach. Vis. Appl. 23(3): 557-577 (2012) - [j18]Kalin Kolev, Thomas Brox, Daniel Cremers:
Fast Joint Estimation of Silhouettes and Dense 3D Geometry from Multiple Images. IEEE Trans. Pattern Anal. Mach. Intell. 34(3): 493-505 (2012) - [j17]Henrik Skibbe, Marco Reisert, Thorsten Schmidt, Thomas Brox, Olaf Ronneberger, Hans Burkhardt:
Fast Rotation Invariant 3D Feature Computation Utilizing Efficient Local Neighborhood Operators. IEEE Trans. Pattern Anal. Mach. Intell. 34(8): 1563-1575 (2012) - [j16]Maja Temerinac-Ott, Olaf Ronneberger, Peter Ochs, Wolfgang Driever, Thomas Brox, Hans Burkhardt:
Multiview Deblurring for 3-D Images from Light-Sheet-Based Fluorescence Microscopy. IEEE Trans. Image Process. 21(4): 1863-1873 (2012) - [c49]Peter Ochs, Thomas Brox:
Higher order motion models and spectral clustering. CVPR 2012: 614-621 - [c48]Naveen Shankar Nagaraja, Peter Ochs, Kun Liu, Thomas Brox:
Hierarchy of Localized Random Forests for Video Annotation. DAGM/OAGM Symposium 2012: 21-30 - [c47]Benjamin Ummenhofer, Thomas Brox:
Dense 3D Reconstruction with a Hand-Held Camera. DAGM/OAGM Symposium 2012: 103-112 - [c46]Margret Keuper, Maja Temerinac-Ott, Jan Padeken, Patrick Heun, Thomas Brox, Hans Burkhardt, Olaf Ronneberger:
Blind deconvolution with PSF regularization for wide-field microscopy. ISBI 2012: 1292-1295 - 2011
- [j15]Andreas Wedel, Thomas Brox, Tobi Vaudrey, Clemens Rabe, Uwe Franke, Daniel Cremers:
Stereoscopic Scene Flow Computation for 3D Motion Understanding. Int. J. Comput. Vis. 95(1): 29-51 (2011) - [j14]Thomas Brox, Jitendra Malik:
Large Displacement Optical Flow: Descriptor Matching in Variational Motion Estimation. IEEE Trans. Pattern Anal. Mach. Intell. 33(3): 500-513 (2011) - [c45]Thomas Brox, Lubomir D. Bourdev, Subhransu Maji, Jitendra Malik:
Object segmentation by alignment of poselet activations to image contours. CVPR 2011: 2225-2232 - [c44]Patrik Sundberg, Thomas Brox, Michael Maire, Pablo Arbeláez, Jitendra Malik:
Occlusion boundary detection and figure/ground assignment from optical flow. CVPR 2011: 2233-2240 - [c43]Peter Ochs, Thomas Brox:
Object segmentation in video: A hierarchical variational approach for turning point trajectories into dense regions. ICCV 2011: 1583-1590 - [c42]Margret Keuper, Thorsten Schmidt, Marta Rodriguez-Franco, Wolfgang Schamel, Thomas Brox, Hans Burkhardt, Olaf Ronneberger:
Hierarchical Markov Random Fields for mast cell segmentation in electron microscopic recordings. ISBI 2011: 973-978 - 2010
- [j13]Juergen Gall, Bodo Rosenhahn, Thomas Brox, Hans-Peter Seidel:
Optimization and Filtering for Human Motion Capture. Int. J. Comput. Vis. 87(1-2): 75-92 (2010) - [j12]Thomas Brox, Mikaël Rousson, Rachid Deriche, Joachim Weickert:
Colour, texture, and motion in level set based segmentation and tracking. Image Vis. Comput. 28(3): 376-390 (2010) - [j11]Thomas Brox, Bodo Rosenhahn, Juergen Gall, Daniel Cremers:
Combined Region and Motion-Based 3D Tracking of Rigid and Articulated Objects. IEEE Trans. Pattern Anal. Mach. Intell. 32(3): 402-415 (2010) - [c41]Lubomir D. Bourdev, Subhransu Maji, Thomas Brox, Jitendra Malik:
Detecting People Using Mutually Consistent Poselet Activations. ECCV (6) 2010: 168-181 - [c40]Thomas Brox, Jitendra Malik:
Object Segmentation by Long Term Analysis of Point Trajectories. ECCV (5) 2010: 282-295 - [c39]Narayanan Sundaram, Thomas Brox, Kurt Keutzer:
Dense Point Trajectories by GPU-Accelerated Large Displacement Optical Flow. ECCV (1) 2010: 438-451
2000 – 2009
- 2009
- [j10]Kalin Kolev, Maria Klodt, Thomas Brox, Daniel Cremers:
Continuous Global Optimization in Multiview 3D Reconstruction. Int. J. Comput. Vis. 84(1): 80-96 (2009) - [j9]Thomas Brox, Daniel Cremers:
On Local Region Models and a Statistical Interpretation of the Piecewise Smooth Mumford-Shah Functional. Int. J. Comput. Vis. 84(2): 184-193 (2009) - [c38]Thomas Brox, Christoph Bregler, Jitendra Malik:
Large displacement optical flow. CVPR 2009: 41-48 - [c37]Christian Schmaltz, Bodo Rosenhahn, Thomas Brox, Joachim Weickert:
Localised Mixture Models in Region-Based Tracking. DAGM-Symposium 2009: 21-30 - 2008
- [j8]Thomas Brox, Oliver Kleinschmidt, Daniel Cremers:
Efficient Nonlocal Means for Denoising of Textural Patterns. IEEE Trans. Image Process. 17(7): 1083-1092 (2008) - [c36]Christian Schmaltz, Bodo Rosenhahn, Thomas Brox, Joachim Weickert, Lennart Wietzke, Gerald Sommer:
Dealing with Self-occlusion in Region Based Motion Capture by Means of Internal Regions. AMDO 2008: 102-111 - [c35]Bodo Rosenhahn, Christian Schmaltz, Thomas Brox, Joachim Weickert, Daniel Cremers, Hans-Peter Seidel:
Markerless motion capture of man-machine interaction. CVPR 2008 - [c34]Bodo Rosenhahn, Christian Schmaltz, Thomas Brox, Joachim Weickert, Hans-Peter Seidel:
Staying Well Grounded in Markerless Motion Capture. DAGM-Symposium 2008: 385-395 - [c33]Andreas Wedel, Tobi Vaudrey, Annemarie Meißner, Clemens Rabe, Thomas Brox, Uwe Franke, Daniel Cremers:
An Evaluation Approach for Scene Flow with Decoupled Motion and Position. Statistical and Geometrical Approaches to Visual Motion Analysis 2008: 46-69 - [c32]Andreas Wedel, Clemens Rabe, Tobi Vaudrey, Thomas Brox, Uwe Franke, Daniel Cremers:
Efficient Dense Scene Flow from Sparse or Dense Stereo Data. ECCV (1) 2008: 739-751 - [c31]Bodo Rosenhahn, Thomas Brox, Daniel Cremers, Hans-Peter Seidel:
Modeling and Tracking Line-Constrained Mechanical Systems. RobVis 2008: 98-110 - 2007
- [j7]Bodo Rosenhahn, Thomas Brox, Joachim Weickert:
Three-Dimensional Shape Knowledge for Joint Image Segmentation and Pose Tracking. Int. J. Comput. Vis. 73(3): 243-262 (2007) - [c30]Bodo Rosenhahn, Thomas Brox, Hans-Peter Seidel:
Scaled Motion Dynamics for Markerless Motion Capture. CVPR 2007 - [c29]Bodo Rosenhahn, Thomas Brox, Daniel Cremers, Hans-Peter Seidel:
Online Smoothing for Markerless Motion Capture. DAGM-Symposium 2007: 163-172 - [c28]Christian Schmaltz, Bodo Rosenhahn, Thomas Brox, Joachim Weickert, Daniel Cremers, Lennart Wietzke, Gerald Sommer:
Occlusion Modeling by Tracking Multiple Objects. DAGM-Symposium 2007: 173-183 - [c27]Andreas Wedel, Thomas Schoenemann, Thomas Brox, Daniel Cremers:
WarpCut - Fast Obstacle Segmentation in Monocular Video. DAGM-Symposium 2007: 264-273 - [c26]Kalin Kolev, Maria Klodt, Thomas Brox, Selim Esedoglu, Daniel Cremers:
Continuous Global Optimization in Multiview 3D Reconstruction. EMMCVPR 2007: 441-452 - [c25]Thomas Brox, Bodo Rosenhahn, Daniel Cremers, Hans-Peter Seidel:
Nonparametric Density Estimation with Adaptive, Anisotropic Kernels for Human Motion Tracking. Workshop on Human Motion 2007: 152-165 - [c24]Christian Schmaltz, Bodo Rosenhahn, Thomas Brox, Daniel Cremers, Joachim Weickert, Lennart Wietzke, Gerald Sommer:
Region-Based Pose Tracking. IbPRIA (2) 2007: 56-63 - [c23]Thomas Brox, Daniel Cremers:
Iterated Nonlocal Means for Texture Restoration. SSVM 2007: 13-24 - [c22]Thomas Brox, Daniel Cremers:
On the Statistical Interpretation of the Piecewise Smooth Mumford-Shah Functional. SSVM 2007: 203-213 - 2006
- [j6]Nils Papenberg, Andrés Bruhn, Thomas Brox, Stephan Didas, Joachim Weickert:
Highly Accurate Optic Flow Computation with Theoretically Justified Warping. Int. J. Comput. Vis. 67(2): 141-158 (2006) - [j5]Thomas Brox, Joachim Weickert, Bernhard Burgeth, Pavel Mrázek:
Nonlinear structure tensors. Image Vis. Comput. 24(1): 41-55 (2006) - [j4]Thomas Brox, Joachim Weickert:
A TV flow based local scale estimate and its application to texture discrimination. J. Vis. Commun. Image Represent. 17(5): 1053-1073 (2006) - [j3]Michael Breuß, Andrea Bürgel, Thomas Brox, Thomas Sonar, Joachim Weickert:
Numerical aspects of TV flow. Numer. Algorithms 41(1): 79-101 (2006) - [j2]Thomas Brox, Joachim Weickert:
Level Set Segmentation With Multiple Regions. IEEE Trans. Image Process. 15(10): 3213-3218 (2006) - [c21]Thomas Brox, Yoo-Jin Kim, Joachim Weickert, Wolfgang Feiden:
Fully-Automated Analysis of Muscle Fiber Images with Combined Region and Edge-Based Active Contours. Bildverarbeitung für die Medizin 2006: 86-90 - [c20]Andreas Wedel, Uwe Franke, Jens Klappstein, Thomas Brox, Daniel Cremers:
Realtime Depth Estimation and Obstacle Detection from Monocular Video. DAGM-Symposium 2006: 475-484 - [c19]Thomas Brox, Bodo Rosenhahn, Uwe G. Kersting, Daniel Cremers:
Nonparametric Density Estimation for Human Pose Tracking. DAGM-Symposium 2006: 546-555 - [c18]Kalin Kolev, Thomas Brox, Daniel Cremers:
Robust Variational Segmentation of 3D Objects from Multiple Views. DAGM-Symposium 2006: 688-697 - [c17]Thomas Brox, Bodo Rosenhahn, Daniel Cremers:
Contours, Optic Flow, and Prior Knowledge: Cues for Capturing 3D Human Motion in Videos. Human Motion 2006: 265-293 - [c16]Bodo Rosenhahn, Uwe G. Kersting, Katie Powell, Thomas Brox, Hans-Peter Seidel:
Tracking Clothed People. Human Motion 2006: 295-317 - [c15]Thomas Brox, Bodo Rosenhahn, Daniel Cremers, Hans-Peter Seidel:
High Accuracy Optical Flow Serves 3-D Pose Tracking: Exploiting Contour and Flow Based Constraints. ECCV (2) 2006: 98-111 - [c14]Thomas Brox, Andrés Bruhn, Joachim Weickert:
Variational Motion Segmentation with Level Sets. ECCV (1) 2006: 471-483 - [c13]Juergen Gall, Bodo Rosenhahn, Thomas Brox, Hans-Peter Seidel:
Learning for Multi-view 3D Tracking in the Context of Particle Filters. ISVC (2) 2006: 59-69 - [c12]Bodo Rosenhahn, Thomas Brox, Daniel Cremers, Hans-Peter Seidel:
A Comparison of Shape Matching Methods for Contour Based Pose Estimation. IWCIA 2006: 263-276 - [p3]Joachim Weickert, Gabriele Steidl, Pavel Mrázek, Martin Welk, Thomas Brox:
Diffusion Filters and Wavelets: What Can They Learn from Each Other? Handbook of Mathematical Models in Computer Vision 2006: 1-16 - [p2]Thomas Brox, Rein van den Boomgaard, François Lauze, Joost van de Weijer, Joachim Weickert, Pavel Mrázek, Pierre Kornprobst:
Adaptive Structure Tensors and their Applications. Visualization and Processing of Tensor Fields 2006: 17-47 - [p1]Joachim Weickert, Christian Feddern, Martin Welk, Bernhard Burgeth, Thomas Brox:
PDEs for Tensor Image Processing. Visualization and Processing of Tensor Fields 2006: 399-414 - 2005
- [b1]Thomas Brox:
Von Pixeln zu Regionen: partielle Differentialgleichungen in der Bildanalyse. Saarland University, 2005 - [c11]Thomas Brox, Bodo Rosenhahn, Joachim Weickert:
Three-Dimensional Shape Knowledge for Joint Image Segmentation and Pose Estimation. DAGM-Symposium 2005: 109-116 - [c10]Bodo Rosenhahn, Uwe G. Kersting, Andrew W. Smith, Jason K. Gurney, Thomas Brox, Reinhard Klette:
A System for Marker-Less Human Motion Estimation. DAGM-Symposium 2005: 230-237 - [c9]Michael Breuß, Thomas Brox, Thomas Sonar, Joachim Weickert:
Stabilised Nonlinear Inverse Diffusion for Approximating Hyperbolic PDEs. Scale-Space 2005: 536-547 - [c8]Martin Welk, David Theis, Thomas Brox, Joachim Weickert:
PDE-Based Deconvolution with Forward-Backward Diffusivities and Diffusion Tensors. Scale-Space 2005: 585-597 - 2004
- [j1]Gabriele Steidl, Joachim Weickert, Thomas Brox, Pavel Mrázek, Martin Welk:
On the Equivalence of Soft Wavelet Shrinkage, Total Variation Diffusion, Total Variation Regularization, and SIDEs. SIAM J. Numer. Anal. 42(2): 686-713 (2004) - [c7]Thomas Brox, Joachim Weickert:
Level Set Based Image Segmentation with Multiple Regions. DAGM-Symposium 2004: 415-423 - [c6]Thomas Brox, Andrés Bruhn, Nils Papenberg, Joachim Weickert:
High Accuracy Optical Flow Estimation Based on a Theory for Warping. ECCV (4) 2004: 25-36 - [c5]Thomas Brox, Joachim Weickert:
A TV Flow Based Local Scale Measure for Texture Discrimination. ECCV (2) 2004: 578-590 - 2003
- [c4]Thomas Brox, Mikaël Rousson, Rachid Deriche, Joachim Weickert:
Unsupervised Segmentation Incorporating Colour, Texture, and Motion. CAIP 2003: 353-360 - [c3]Mikaël Rousson, Thomas Brox, Rachid Deriche:
Active Unsupervised Texture Segmentation on a Diffusion Based Feature Space. CVPR (2) 2003: 699-706 - [c2]Thomas Brox, Martin Welk, Gabriele Steidl, Joachim Weickert:
Equivalence Results for TV Diffusion and TV Regularisation. Scale-Space 2003: 86-100 - 2002
- [c1]Thomas Brox, Joachim Weickert:
Nonlinear Matrix Diffusion for Optic Flow Estimation. DAGM-Symposium 2002: 446-453
Coauthor Index
Max Argus
aka: Max J. Argus
aka: Max J. Argus
Peter V. Gehler
aka: Peter Vincent Gehler
aka: Peter Vincent Gehler
Chaithanya Kumar Mummadi
aka: Mummadi Chaithanya Kumar
aka: Mummadi Chaithanya Kumar
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-21 21:30 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
