Thomas Brox - RankMe

413 papers A* 71A 13B 1C 3Misc 2Journal 183Unranked 100

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Assessing Multimodal Chronic Wound Embeddings with Expert Triplet Agreement. CoRR Fabian Kabus, Julia Hindel, Jelena Bratulic, Meropi Karakioulaki, Ayush Gupta, Cristina Has, Thomas Brox, Abhinav Valada, Harald Binder
2026	J	`jnl`	Embedding interpretable ℓ CoRR Fabian Kabus, Maren Hackenberg, Julia Hindel, Thibault Cholvin, Antje Kilias, Thomas Brox, Abhinav Valada, Marlene Bartos, Harald Binder
2026	J	`jnl`	Learning to Read Where to Look: Disease-Aware Vision-Language Pretraining for 3D CT. CoRR Simon Ging, Philipp Arnold, Sebastian Walter, Hani Alnahas, Hannah Bast, Elmar Kotter, Jiancheng Yang, Behzad Bozorgtabar, Thomas Brox
2026	J	`jnl`	Simple LLM Baselines are Competitive for Model Diffing. CoRR Elias Kempf, Simon Schrodi, Bartosz Cywinski, Thomas Brox, Neel Nanda, Arthur Conmy
2025	A*	`conf`	Bridging Information Asymmetry in Text-video Retrieval: A Data-centric Approach. ICLR Zechen Bai, Tianjun Xiao, Tong He, Pichao Wang, Zheng Zhang, Thomas Brox, Mike Zheng Shou
2025	J	`jnl`	CLIP Won't Learn Object-Attribute Binding from Natural Data and Here is Why. CoRR Bijay Gurung, David T. Hoffmann, Thomas Brox
2025	—	`conf`	Common Data Properties Limit Object-Attribute Binding in CLIP. DAGM GCPR Bijay Gurung, David T. Hoffmann, Thomas Brox
2025	J	`jnl`	Constrained Reinforcement Learning with Smoothed Log Barrier Function. Trans. Mach. Learn. Res. Baohe Zhang, Yuan Zhang, Hao Zhu, Shengchao Yan, Thomas Brox, Joschka Boedecker
2025	—	`conf`	Detect, Classify, Act: Categorizing Industrial Anomalies with Multi-Modal Large Language Models. CVPR Workshops Sassan Mokhtar, Arian Mousakhan, Silvio Galesso, Jawad Tayyub, Thomas Brox
2025	J	`jnl`	Detect, Classify, Act: Categorizing Industrial Anomalies with Multi-Modal Large Language Models. CoRR Sassan Mokhtar, Arian Mousakhan, Silvio Galesso, Jawad Tayyub, Thomas Brox
2025	A	`conf`	Label-Efficient LiDAR Semantic Segmentation with 2D-3D Vision Transformer Adapters. IROS Julia Hindel, Rohit Mohan, Jelena Bratulic, Daniele Cattaneo, Thomas Brox, Abhinav Valada
2025	J	`jnl`	Label-Efficient LiDAR Semantic Segmentation with 2D-3D Vision Transformer Adapters. CoRR Julia Hindel, Rohit Mohan, Jelena Bratulic, Daniele Cattaneo, Thomas Brox, Abhinav Valada
2025	—	`conf`	Legend-Informed Symbol Recognition in Engineering Diagrams with Self-supervised Learning. ECML/PKDD (8) Antonia Hain, Simon Gölzhäuser, Nicolas Réhault, Thomas Brox, Matthias Demant
2025	J	`jnl`	On Geometric Understanding and Learned Data Priors in VGGT. CoRR Jelena Bratulic, Sudhanshu Mittal, Thomas Brox, Christian Rupprecht
2025	J	`jnl`	Orbis: Overcoming Challenges of Long-Horizon Prediction in Driving World Models. CoRR Arian Mousakhan, Sudhanshu Mittal, Silvio Galesso, Karim Farid, Thomas Brox
2025	J	`jnl`	Realistic Evaluation of Deep Active Learning for Image Classification and Semantic Segmentation. Int. J. Comput. Vis. Sudhanshu Mittal, Joshua Niemeijer, Özgün Çiçek, Maxim Tatarchenko, Jan Ehrhardt, Jörg P. Schäfer, Heinz Handels, Thomas Brox
2025	A	`conf`	SEED4D: A Synthetic Ego-Exo Dynamic 4D Data Generator, Driving Dataset and Benchmark. WACV Marius Kästingschäfer, Théo Gieruc, Sebastian Bernhard, Dylan Campbell, Eldar Insafutdinov, Eyvaz Najafli, Thomas Brox
2025	J	`jnl`	Selective Concept Bottleneck Models Without Predefined Concepts. Trans. Mach. Learn. Res. Simon Schrodi, Julian Schur, Max Argus, Thomas Brox
2025	—	`conf`	SshELF: Single-Shot Hierarchical Extrapolation of Latent Features for 3D Reconstruction from Sparse-Views. DAGM GCPR Eyvaz Najafli, Marius Kästingschäfer, Sebastian Bernhard, Thomas Brox, Andreas Geiger
2025	J	`jnl`	StorySync: Training-Free Subject Consistency in Text-to-Image Generation via Region Harmonization. CoRR Gopalji Gaur, Mohammadreza Zolfaghari, Thomas Brox
2025	—	`conf`	StorySync: Training-Free Subject Consistency via Region Harmonization. DAGM GCPR Gopalji Gaur, Mohammadreza Zolfaghari, Thomas Brox
2025	J	`jnl`	Towards Understanding Subliminal Learning: When and How Hidden Biases Transfer. CoRR Simon Schrodi, Elias Kempf, Fazl Barez, Thomas Brox
2025	A*	`conf`	Two Effects, One Trigger: On the Modality Gap, Object Bias, and Information Imbalance in Contrastive Vision-Language Models. ICLR Simon Schrodi, David T. Hoffmann, Max Argus, Volker Fischer, Thomas Brox
2025	—	`conf`	Unlocking In-Context Learning for Natural Datasets Beyond Language Modelling. DAGM GCPR Jelena Bratulic, Sudhanshu Mittal, David T. Hoffmann, Samuel Böhm, Robin Tibor Schirrmeister, Tonio Ball, Christian Rupprecht, Thomas Brox
2025	—	`conf`	Using Knowledge Graphs to Harvest Datasets for Efficient CLIP Model Training. DAGM GCPR Simon Ging, Sebastian Walter, Jelena Bratulic, Johannes Dienert, Hannah Bast, Thomas Brox
2025	J	`jnl`	Using Knowledge Graphs to harvest datasets for efficient CLIP model training. CoRR Simon Ging, Sebastian Walter, Jelena Bratulic, Johannes Dienert, Hannah Bast, Thomas Brox
2025	J	`jnl`	What Drives Compositional Generalization in Visual Generative Models? CoRR Karim Farid, Rajat Sahay, Yumna Ali Alnaggar, Simon Schrodi, Volker Fischer, Cordelia Schmid, Thomas Brox
2025	J	`jnl`	What Matters for In-Context Learning: A Balancing Act of Look-up and In-Weight Learning. CoRR Jelena Bratulic, Sudhanshu Mittal, Christian Rupprecht, Thomas Brox
2025	A*	`conf`	When and How Does CLIP Enable Domain and Compositional Generalization? ICML Elias Kempf, Simon Schrodi, Max Argus, Thomas Brox
2025	J	`jnl`	When and How Does CLIP Enable Domain and Compositional Generalization? CoRR Elias Kempf, Simon Schrodi, Max Argus, Thomas Brox
2025	J	`jnl`	cVLA: Towards Efficient Camera-Space VLAs. CoRR Max Argus, Jelena Bratulic, Houman Masnavi, Maxim Velikanov, Nick Heppert, Abhinav Valada, Thomas Brox
2025	J	`jnl`	sshELF: Single-Shot Hierarchical Extrapolation of Latent Features for 3D Reconstruction from Sparse-Views. CoRR Eyvaz Najafli, Marius Kästingschäfer, Sebastian Bernhard, Thomas Brox, Andreas Geiger
2024	A*	`conf`	Amodal Optical Flow. ICRA Maximilian Luz, Rohit Mohan, Ahmed Rida Sekkat, Oliver Sawade, Elmar Matthes, Thomas Brox, Abhinav Valada
2024	—	`conf`	Anomaly Detection with Conditioned Denoising Diffusion Models. GCPR (1) Arian Mousakhan, Thomas Brox, Jawad Tayyub
2024	A*	`conf`	Compositional Servoing by Recombining Demonstrations. ICRA Max Argus, Abhijeet Nayak, Martin Büchner, Silvio Galesso, Abhinav Valada, Thomas Brox
2024	J	`jnl`	Concept Bottleneck Models Without Predefined Concepts. CoRR Simon Schrodi, Julian Schur, Max Argus, Thomas Brox
2024	J	`jnl`	Constrained Reinforcement Learning for Safe Heat Pump Control. CoRR Baohe Zhang, Lilli Frison, Thomas Brox, Joschka Bödecker
2024	J	`jnl`	Constrained Reinforcement Learning with Smoothed Log Barrier Function. CoRR Baohe Zhang, Yuan Zhang, Lilli Frison, Thomas Brox, Joschka Bödecker
2024	A*	`conf`	CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity. ICLR Aditya Bhatt, Daniel Palenicek, Boris Belousov, Max Argus, Artemij Amiranashvili, Thomas Brox, Jan Peters
2024	A	`conf`	DITTO: Demonstration Imitation by Trajectory Transformation. IROS Nick Heppert, Max Argus, Tim Welschehold, Thomas Brox, Abhinav Valada
2024	J	`jnl`	DITTO: Demonstration Imitation by Trajectory Transformation. CoRR Nick Heppert, Max Argus, Tim Welschehold, Thomas Brox, Abhinav Valada
2024	—	`conf`	Diffusion for Out-of-Distribution Detection on Road Scenes and Beyond. ECCV (74) Silvio Galesso, Philipp Schröppel, Hssan Driss, Thomas Brox
2024	J	`jnl`	Diffusion for Out-of-Distribution Detection on Road Scenes and Beyond. CoRR Silvio Galesso, Philipp Schröppel, Hssan Driss, Thomas Brox
2024	A*	`conf`	Eureka-Moments in Transformers: Multi-Step Tasks Reveal Softmax Induced Optimization Problems. ICML David T. Hoffmann, Simon Schrodi, Jelena Bratulic, Nadine Behrmann, Volker Fischer, Thomas Brox
2024	J	`jnl`	GQE: Generalized Query Expansion for Enhanced Text-Video Retrieval. CoRR Zechen Bai, Tianjun Xiao, Tong He, Pichao Wang, Zheng Zhang, Thomas Brox, Mike Zheng Shou
2024	—	`conf`	Is Mamba Capable of In-Context Learning? AutoML Riccardo Grazzi, Julien Niklas Siems, Simon Schrodi, Thomas Brox, Frank Hutter
2024	J	`jnl`	Is Mamba Capable of In-Context Learning? CoRR Riccardo Grazzi, Julien Siems, Simon Schrodi, Thomas Brox, Frank Hutter
2024	—	`conf`	Latent Diffusion Counterfactual Explanations. GCPR (1) Simon Schrodi, Karim Farid, Max Argus, Thomas Brox
2024	Misc	`conf`	Learning Robotic Manipulation Policies from Point Clouds with Conditional Flow Matching. CoRL Eugenio Chisari, Nick Heppert, Max Argus, Tim Welschehold, Thomas Brox, Abhinav Valada
2024	J	`jnl`	Learning Robotic Manipulation Policies from Point Clouds with Conditional Flow Matching. CoRR Eugenio Chisari, Nick Heppert, Max Argus, Tim Welschehold, Thomas Brox, Abhinav Valada
2024	A*	`conf`	Neural Point Cloud Diffusion for Disentangled 3D Shape and Appearance Generation. CVPR Philipp Schröppel, Christopher Wewer, Jan Eric Lenssen, Eddy Ilg, Thomas Brox
2024	A*	`conf`	Open-ended VQA benchmarking of Vision-Language models by exploiting Classification datasets and their semantic hierarchy. ICLR Simon Ging, María Alejandra Bravo, Thomas Brox
2024	J	`jnl`	Open-ended VQA benchmarking of Vision-Language models by exploiting Classification datasets and their semantic hierarchy. CoRR Simon Ging, María Alejandra Bravo, Thomas Brox
2024	—	`conf`	Revisiting SMoE Language Models by Evaluating Inefficiencies with Task Specific Expert Pruning. ENLSP Soumajyoti Sarkar, Leonard Lausen, Volkan Cevher, Thomas Brox, Sheng Zha, George Karypis
2024	J	`jnl`	Revisiting SMoE Language Models by Evaluating Inefficiencies with Task Specific Expert Pruning. CoRR Soumajyoti Sarkar, Leonard Lausen, Volkan Cevher, Sheng Zha, Thomas Brox, George Karypis
2024	J	`jnl`	SEED4D: A Synthetic Ego-Exo Dynamic 4D Data Generator, Driving Dataset and Benchmark. CoRR Marius Kästingschäfer, Théo Gieruc, Sebastian Bernhard, Dylan Campbell, Eldar Insafutdinov, Eyvaz Najafli, Thomas Brox
2024	J	`jnl`	Two Effects, One Trigger: On the Modality Gap, Object Bias, and Information Imbalance in Contrastive Vision-Language Representation Learning. CoRR Simon Schrodi, David T. Hoffmann, Max Argus, Volker Fischer, Thomas Brox
2023	J	`jnl`	Amodal Optical Flow. CoRR Maximilian Luz, Rohit Mohan, Ahmed Rida Sekkat, Oliver Sawade, Elmar Matthes, Thomas Brox, Abhinav Valada
2023	J	`jnl`	Anomaly Detection with Conditioned Denoising Diffusion Models. CoRR Arian Mousakhan, Thomas Brox, Jawad Tayyub
2023	—	`conf`	Best Practices in Active Learning for Semantic Segmentation. DAGM Sudhanshu Mittal, Joshua Niemeijer, Jörg P. Schäfer, Thomas Brox
2023	A*	`conf`	Bridging the Gap to Real-World Object-Centric Learning. ICLR Maximilian Seitzer, Max Horn, Andrii Zadaianchuk, Dominik Zietlow, Tianjun Xiao, Carl-Johann Simon-Gabriel, Tong He, Zheng Zhang, Bernhard Schölkopf, Thomas Brox, Francesco Locatello
2023	J	`jnl`	Climate-sensitive Urban Planning through Optimization of Tree Placements. CoRR Simon Schrodi, Ferdinand Briegel, Max Argus, Andreas Christen, Thomas Brox
2023	J	`jnl`	Compositional Servoing by Recombining Demonstrations. CoRR Max Argus, Abhijeet Nayak, Martin Büchner, Silvio Galesso, Abhinav Valada, Thomas Brox
2023	A*	`conf`	Construction of Hierarchical Neural Architecture Search Spaces based on Context-free Grammars. NeurIPS Simon Schrodi, Danny Stoll, Binxin Ru, Rhea Sanjay Sukthanker, Thomas Brox, Frank Hutter
2023	J	`jnl`	Eureka-Moments in Transformers: Multi-Step Tasks Reveal Softmax Induced Optimization Problems. CoRR David T. Hoffmann, Simon Schrodi, Nadine Behrmann, Volker Fischer, Thomas Brox
2023	—	`conf`	Far Away in the Deep Space: Dense Nearest-Neighbor-Based Out-of-Distribution Detection. ICCV (Workshops) Silvio Galesso, Max Argus, Thomas Brox
2023	J	`jnl`	Latent Diffusion Counterfactual Explanations. CoRR Karim Farid, Simon Schrodi, Max Argus, Thomas Brox
2023	J	`jnl`	Neural Architecture Search for Dense Prediction Tasks in Computer Vision. Int. J. Comput. Vis. Rohit Mohan, Thomas Elsken, Arber Zela, Jan Hendrik Metzen, Benedikt Staffler, Thomas Brox, Abhinav Valada, Frank Hutter
2023	J	`jnl`	Neural Point Cloud Diffusion for Disentangled 3D Shape and Appearance Generation. CoRR Philipp Schröppel, Christopher Wewer, Jan Eric Lenssen, Eddy Ilg, Thomas Brox
2023	A*	`conf`	Object-Centric Multiple Object Tracking. ICCV 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
2023	J	`jnl`	Object-Centric Multiple Object Tracking. CoRR 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
2023	A*	`conf`	Open-vocabulary Attribute Detection. CVPR María Alejandra Bravo, Sudhanshu Mittal, Simon Ging, Thomas Brox
2023	J	`jnl`	Revisiting Deep Active Learning for Semantic Segmentation. CoRR Sudhanshu Mittal, Joshua Niemeijer, Jörg P. Schäfer, Thomas Brox
2023	—	`conf`	Synthetic Dataset Acquisition for a Specific Target Domain. ICCV (Workshops) Joshua Niemeijer, Sudhanshu Mittal, Thomas Brox
2023	—	`conf`	Unsupervised Object Learning via Common Fate. CLeaR Matthias Tangemann, Steffen Schneider, Julius von Kügelgen, Francesco Locatello, Peter Vincent Gehler, Thomas Brox, Matthias Kümmerer, Matthias Bethge, Bernhard Schölkopf
2023	A*	`conf`	Unsupervised Open-Vocabulary Object Localization in Videos. ICCV 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
2023	J	`jnl`	Unsupervised Open-Vocabulary Object Localization in Videos. CoRR 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
2023	A*	`conf`	Unsupervised Semantic Segmentation with Self-supervised Object-centric Representations. ICLR Andrii Zadaianchuk, Matthäus Kleindessner, Yi Zhu, Francesco Locatello, Thomas Brox
2022	—	`conf`	A Benchmark and a Baseline for Robust Multi-view Depth Estimation. 3DV Philipp Schröppel, Jan Bechtold, Artemij Amiranashvili, Thomas Brox
2022	J	`jnl`	A Benchmark and a Baseline for Robust Multi-view Depth Estimation. CoRR Philipp Schröppel, Jan Bechtold, Artemij Amiranashvili, Thomas Brox
2022	A*	`conf`	Assaying Out-Of-Distribution Generalization in Transfer Learning. NeurIPS 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
2022	J	`jnl`	Assaying Out-Of-Distribution Generalization in Transfer Learning. CoRR 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
2022	J	`jnl`	Bridging the Gap to Real-World Object-Centric Learning. CoRR Maximilian Seitzer, Max Horn, Andrii Zadaianchuk, Dominik Zietlow, Tianjun Xiao, Carl-Johann Simon-Gabriel, Tong He, Zheng Zhang, Bernhard Schölkopf, Thomas Brox, Francesco Locatello
2022	A	`conf`	Conditional Visual Servoing for Multi-Step Tasks. IROS Sergio Izquierdo, Max Argus, Thomas Brox
2022	J	`jnl`	Conditional Visual Servoing for Multi-Step Tasks. CoRR Sergio Izquierdo, Max Argus, Thomas Brox
2022	J	`jnl`	Far Away in the Deep Space: Nearest-Neighbor-Based Dense Out-of-Distribution Detection. CoRR Silvio Galesso, Max Argus, Thomas Brox
2022	—	`conf`	Localized Vision-Language Matching for Open-vocabulary Object Detection. GCPR María Alejandra Bravo, Sudhanshu Mittal, Thomas Brox
2022	J	`jnl`	Localized Vision-Language Matching for Open-vocabulary Object Detection. CoRR María Alejandra Bravo, Sudhanshu Mittal, Thomas Brox
2022	J	`jnl`	Neural Architecture Search for Dense Prediction Tasks in Computer Vision. CoRR Thomas Elsken, Arber Zela, Jan Hendrik Metzen, Benedikt Staffler, Thomas Brox, Abhinav Valada, Frank Hutter
2022	J	`jnl`	Open-vocabulary Attribute Detection. CoRR María Alejandra Bravo, Sudhanshu Mittal, Simon Ging, Thomas Brox
2022	J	`jnl`	Pixel-level Correspondence for Self-Supervised Learning from Video. CoRR Yash Sharma, Yi Zhu, Chris Russell, Thomas Brox
2022	—	`conf`	Probing Contextual Diversity for Dense Out-of-Distribution Detection. ECCV Workshops (5) Silvio Galesso, María Alejandra Bravo, Mehdi Naouar, Thomas Brox
2022	J	`jnl`	Probing Contextual Diversity for Dense Out-of-Distribution Detection. CoRR Silvio Galesso, María Alejandra Bravo, Mehdi Naouar, Thomas Brox
2022	A*	`conf`	Ranking Info Noise Contrastive Estimation: Boosting Contrastive Learning via Ranked Positives. AAAI David T. Hoffmann, Nadine Behrmann, Juergen Gall, Thomas Brox, Mehdi Noroozi
2022	J	`jnl`	Ranking Info Noise Contrastive Estimation: Boosting Contrastive Learning via Ranked Positives. CoRR David T. Hoffmann, Nadine Behrmann, Juergen Gall, Thomas Brox, Mehdi Noroozi
2022	J	`jnl`	RobotIO: A Python Library for Robot Manipulation Experiments. CoRR Lukás Hermann, Max Argus, Adrian Röfer, Abhinav Valada, Thomas Brox, Wolfram Burgard
2022	—	`conf`	SF2SE3: Clustering Scene Flow into SE(3)-Motions via Proposal and Selection. GCPR Leonhard Sommer, Philipp Schröppel, Thomas Brox
2022	J	`jnl`	SF2SE3: Clustering Scene Flow into SE(3)-Motions via Proposal and Selection. CoRR Leonhard Sommer, Philipp Schröppel, Thomas Brox
2022	J	`jnl`	Towards Discovering Neural Architectures from Scratch. CoRR Simon Schrodi, Danny Stoll, Binxin Ru, Rhea Sanjay Sukthanker, Thomas Brox, Frank Hutter
2022	A*	`conf`	Towards Total Recall in Industrial Anomaly Detection. CVPR Karsten Roth, Latha Pemula, Joaquin Zepeda, Bernhard Schölkopf, Thomas Brox, Peter V. Gehler
2022	A*	`conf`	Towards Understanding Adversarial Robustness of Optical Flow Networks. CVPR Simon Schrodi, Tonmoy Saikia, Thomas Brox
2022	J	`jnl`	Unsupervised Semantic Segmentation with Self-supervised Object-centric Representations. CoRR Andrii Zadaianchuk, Matthäus Kleindessner, Yi Zhu, Francesco Locatello, Thomas Brox
2022	A*	`conf`	You Mostly Walk Alone: Analyzing Feature Attribution in Trajectory Prediction. ICLR Osama Makansi, Julius von Kügelgen, Francesco Locatello, Peter Vincent Gehler, Dominik Janzing, Thomas Brox, Bernhard Schölkopf
2021	—	`conf`	Contrastive Representation Learning for Hand Shape Estimation. GCPR Christian Zimmermann, Max Argus, Thomas Brox
2021	J	`jnl`	Contrastive Representation Learning for Hand Shape Estimation. CoRR Christian Zimmermann, Max Argus, Thomas Brox
2021	A*	`conf`	CrossCLR: Cross-modal Contrastive Learning For Multi-modal Video Representations. ICCV Mohammadreza Zolfaghari, Yi Zhu, Peter V. Gehler, Thomas Brox
2021	J	`jnl`	CrossCLR: Cross-modal Contrastive Learning For Multi-modal Video Representations. CoRR Mohammadreza Zolfaghari, Yi Zhu, Peter V. Gehler, Thomas Brox
2021	—	`conf`	Essentials for Class Incremental Learning. CVPR Workshops Sudhanshu Mittal, Silvio Galesso, Thomas Brox
2021	J	`jnl`	Essentials for Class Incremental Learning. CoRR Sudhanshu Mittal, Silvio Galesso, Thomas Brox
2021	A*	`conf`	Explicitly Modeled Attention Maps for Image Classification. AAAI Andong Tan, Duc Tam Nguyen, Maximilian Dax, Matthias Nießner, Thomas Brox
2021	—	`conf`	Fighting Class Imbalance with Contrastive Learning. MICCAI (3) Yassine Marrakchi, Osama Makansi, Thomas Brox
2021	A*	`conf`	Fostering Generalization in Single-View 3D Reconstruction by Learning a Hierarchy of Local and Global Shape Priors. CVPR Jan Bechtold, Maxim Tatarchenko, Volker Fischer, Thomas Brox
2021	J	`jnl`	Fostering Generalization in Single-view 3D Reconstruction by Learning a Hierarchy of Local and Global Shape Priors. CoRR Jan Bechtold, Maxim Tatarchenko, Volker Fischer, Thomas Brox
2021	A*	`conf`	Improving robustness against common corruptions with frequency biased models. ICCV Tonmoy Saikia, Cordelia Schmid, Thomas Brox
2021	J	`jnl`	Improving robustness against common corruptions with frequency biased models. CoRR Tonmoy Saikia, Cordelia Schmid, Thomas Brox
2021	J	`jnl`	MAIN: Multi-Attention Instance Network for video segmentation. Comput. Vis. Image Underst. Juan León Alcázar, María Alejandra Bravo, Guillaume Jeanneret, Ali K. Thabet, Thomas Brox, Pablo Arbeláez, Bernard Ghanem
2021	J	`jnl`	Multi-headed Neural Ensemble Search. CoRR Ashwin Raaghav Narayanan, Arber Zela, Tonmoy Saikia, Thomas Brox, Frank Hutter
2021	A*	`conf`	On Exposing the Challenging Long Tail in Future Prediction of Traffic Actors. ICCV Osama Makansi, Özgün Çiçek, Yassine Marrakchi, Thomas Brox
2021	J	`jnl`	On Exposing the Challenging Long Tail in Future Prediction of Traffic Actors. CoRR Osama Makansi, Özgün Çiçek, Yassine Marrakchi, Thomas Brox
2021	J	`jnl`	Pre-training of Deep RL Agents for Improved Learning under Domain Randomization. CoRR Artemij Amiranashvili, Max Argus, Lukás Hermann, Wolfram Burgard, Thomas Brox
2021	J	`jnl`	Search for temporal cell segmentation robustness in phase-contrast microscopy videos. CoRR Estibaliz Gómez-de-Mariscal, Hasini Jayatilaka, Özgün Çiçek, Thomas Brox, Denis Wirtz, Arrate Muñoz-Barrutia
2021	J	`jnl`	Semi-Supervised Disparity Estimation with Deep Feature Reconstruction. CoRR Julia Guerrero-Viu, Sergio Izquierdo, Philipp Schröppel, Thomas Brox
2021	J	`jnl`	Semi-Supervised Semantic Segmentation With High- and Low-Level Consistency. IEEE Trans. Pattern Anal. Mach. Intell. Sudhanshu Mittal, Maxim Tatarchenko, Thomas Brox
2021	A	`conf`	Temporal Shift GAN for Large Scale Video Generation. WACV Andrés Muñoz, Mohammadreza Zolfaghari, Max Argus, Thomas Brox
2021	J	`jnl`	Test-Time Adaptation to Distribution Shift by Confidence Maximization and Input Transformation. CoRR Chaithanya Kumar Mummadi, Robin Hutmacher, Kilian Rambach, Evgeny Levinkov, Thomas Brox, Jan Hendrik Metzen
2021	J	`jnl`	Towards Total Recall in Industrial Anomaly Detection. CoRR Karsten Roth, Latha Pemula, Joaquin Zepeda, Bernhard Schölkopf, Thomas Brox, Peter V. Gehler
2021	J	`jnl`	Unsupervised Object Learning via Common Fate. CoRR Matthias Tangemann, Steffen Schneider, Julius von Kügelgen, Francesco Locatello, Peter V. Gehler, Thomas Brox, Matthias Kümmerer, Matthias Bethge, Bernhard Schölkopf
2021	J	`jnl`	What Causes Optical Flow Networks to be Vulnerable to Physical Adversarial Attacks. CoRR Simon Schrodi, Tonmoy Saikia, Thomas Brox
2021	J	`jnl`	You Mostly Walk Alone: Analyzing Feature Attribution in Trajectory Prediction. CoRR Osama Makansi, Julius von Kügelgen, Francesco Locatello, Peter V. Gehler, Dominik Janzing, Thomas Brox, Bernhard Schölkopf
2020	A*	`conf`	Adaptive Curriculum Generation from Demonstrations for Sim-to-Real Visuomotor Control. ICRA Lukás Hermann, Max Argus, Andreas Eitel, Artemij Amiranashvili, Wolfram Burgard, Thomas Brox
2020	J	`jnl`	Beyond Single Stage Encoder-Decoder Networks: Deep Decoders for Semantic Image Segmentation. CoRR Gabriel L. Oliveira, Senthil Kumar Yogamani, Wolfram Burgard, Thomas Brox
2020	A*	`conf`	COOT: Cooperative Hierarchical Transformer for Video-Text Representation Learning. NeurIPS Simon Ging, Mohammadreza Zolfaghari, Hamed Pirsiavash, Thomas Brox
2020	J	`jnl`	COOT: Cooperative Hierarchical Transformer for Video-Text Representation Learning. CoRR Simon Ging, Mohammadreza Zolfaghari, Hamed Pirsiavash, Thomas Brox
2020	—	`ed.`	Computer Vision - ECCV 2020 - 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part I ECCV (1) Andrea Vedaldi, Horst Bischof, Thomas Brox, Jan-Michael Frahm
2020	—	`ed.`	Computer Vision - ECCV 2020 - 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part II ECCV (2) Andrea Vedaldi, Horst Bischof, Thomas Brox, Jan-Michael Frahm
2020	—	`ed.`	Computer Vision - ECCV 2020 - 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part III ECCV (3) Andrea Vedaldi, Horst Bischof, Thomas Brox, Jan-Michael Frahm
2020	—	`ed.`	Computer Vision - ECCV 2020 - 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part IV ECCV (4) Andrea Vedaldi, Horst Bischof, Thomas Brox, Jan-Michael Frahm
2020	—	`ed.`	Computer Vision - ECCV 2020 - 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part IX ECCV (9) Andrea Vedaldi, Horst Bischof, Thomas Brox, Jan-Michael Frahm
2020	—	`ed.`	Computer Vision - ECCV 2020 - 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part V ECCV (5) Andrea Vedaldi, Horst Bischof, Thomas Brox, Jan-Michael Frahm
2020	—	`ed.`	Computer Vision - ECCV 2020 - 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part VI ECCV (6) Andrea Vedaldi, Horst Bischof, Thomas Brox, Jan-Michael Frahm
2020	—	`ed.`	Computer Vision - ECCV 2020 - 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part VII ECCV (7) Andrea Vedaldi, Horst Bischof, Thomas Brox, Jan-Michael Frahm
2020	—	`ed.`	Computer Vision - ECCV 2020 - 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part VIII ECCV (8) Andrea Vedaldi, Horst Bischof, Thomas Brox, Jan-Michael Frahm
2020	—	`ed.`	Computer Vision - ECCV 2020 - 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part X ECCV (10) Andrea Vedaldi, Horst Bischof, Thomas Brox, Jan-Michael Frahm
2020	—	`ed.`	Computer Vision - ECCV 2020 - 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part XI ECCV (11) Andrea Vedaldi, Horst Bischof, Thomas Brox, Jan-Michael Frahm
2020	—	`ed.`	Computer Vision - ECCV 2020 - 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part XII ECCV (12) Andrea Vedaldi, Horst Bischof, Thomas Brox, Jan-Michael Frahm
2020	—	`ed.`	Computer Vision - ECCV 2020 - 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part XIII ECCV (13) Andrea Vedaldi, Horst Bischof, Thomas Brox, Jan-Michael Frahm
2020	—	`ed.`	Computer Vision - ECCV 2020 - 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part XIV ECCV (14) Andrea Vedaldi, Horst Bischof, Thomas Brox, Jan-Michael Frahm
2020	—	`ed.`	Computer Vision - ECCV 2020 - 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part XIX ECCV (19) Andrea Vedaldi, Horst Bischof, Thomas Brox, Jan-Michael Frahm
2020	—	`ed.`	Computer Vision - ECCV 2020 - 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part XV ECCV (15) Andrea Vedaldi, Horst Bischof, Thomas Brox, Jan-Michael Frahm
2020	—	`ed.`	Computer Vision - ECCV 2020 - 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part XVI ECCV (16) Andrea Vedaldi, Horst Bischof, Thomas Brox, Jan-Michael Frahm
2020	—	`ed.`	Computer Vision - ECCV 2020 - 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part XVII ECCV (17) Andrea Vedaldi, Horst Bischof, Thomas Brox, Jan-Michael Frahm
2020	—	`ed.`	Computer Vision - ECCV 2020 - 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part XVIII ECCV (18) Andrea Vedaldi, Horst Bischof, Thomas Brox, Jan-Michael Frahm
2020	—	`ed.`	Computer Vision - ECCV 2020 - 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part XX ECCV (20) Andrea Vedaldi, Horst Bischof, Thomas Brox, Jan-Michael Frahm
2020	—	`ed.`	Computer Vision - ECCV 2020 - 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part XXI ECCV (21) Andrea Vedaldi, Horst Bischof, Thomas Brox, Jan-Michael Frahm
2020	—	`ed.`	Computer Vision - ECCV 2020 - 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part XXII ECCV (22) Andrea Vedaldi, Horst Bischof, Thomas Brox, Jan-Michael Frahm
2020	—	`ed.`	Computer Vision - ECCV 2020 - 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part XXIII ECCV (23) Andrea Vedaldi, Horst Bischof, Thomas Brox, Jan-Michael Frahm
2020	—	`ed.`	Computer Vision - ECCV 2020 - 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part XXIV ECCV (24) Andrea Vedaldi, Horst Bischof, Thomas Brox, Jan-Michael Frahm
2020	—	`ed.`	Computer Vision - ECCV 2020 - 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part XXIX ECCV (29) Andrea Vedaldi, Horst Bischof, Thomas Brox, Jan-Michael Frahm
2020	—	`ed.`	Computer Vision - ECCV 2020 - 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part XXV ECCV (25) Andrea Vedaldi, Horst Bischof, Thomas Brox, Jan-Michael Frahm
2020	—	`ed.`	Computer Vision - ECCV 2020 - 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part XXVI ECCV (26) Andrea Vedaldi, Horst Bischof, Thomas Brox, Jan-Michael Frahm
2020	—	`ed.`	Computer Vision - ECCV 2020 - 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part XXVII ECCV (27) Andrea Vedaldi, Horst Bischof, Thomas Brox, Jan-Michael Frahm
2020	—	`ed.`	Computer Vision - ECCV 2020 - 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part XXVIII ECCV (28) Andrea Vedaldi, Horst Bischof, Thomas Brox, Jan-Michael Frahm
2020	—	`ed.`	Computer Vision - ECCV 2020 - 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part XXX ECCV (30) Andrea Vedaldi, Horst Bischof, Thomas Brox, Jan-Michael Frahm
2020	J	`jnl`	DeepTAM: Deep Tracking and Mapping with Convolutional Neural Networks. Int. J. Comput. Vis. Huizhong Zhou, Benjamin Ummenhofer, Thomas Brox
2020	—	`conf`	Diskmask: Focusing Object Features for Accurate Instance Segmentation of Elongated or Overlapping Objects. ISBI Anton Böhm, Nikolaus Mayer, Thomas Brox
2020	J	`jnl`	Editor's Note. Int. J. Comput. Vis. Thomas Brox, Mario Fritz
2020	J	`jnl`	Explicitly Modeled Attention Maps for Image Classification. CoRR Andong Tan, Duc Tam Nguyen, Maximilian Dax, Matthias Nießner, Thomas Brox
2020	A	`conf`	FlowControl: Optical Flow Based Visual Servoing. IROS Max Argus, Lukás Hermann, Jon Long, Thomas Brox
2020	J	`jnl`	FlowControl: Optical Flow Based Visual Servoing. CoRR Max Argus, Lukás Hermann, Jon Long, Thomas Brox
2020	A	`conf`	Improving Unimodal Object Recognition with Multimodal Contrastive Learning. IROS Johannes Meyer, Andreas Eitel, Thomas Brox, Wolfram Burgard
2020	J	`jnl`	Motion Segmentation & Multiple Object Tracking by Correlation Co-Clustering. IEEE Trans. Pattern Anal. Mach. Intell. Margret Keuper, Siyu Tang, Bjoern Andres, Thomas Brox, Bernt Schiele
2020	J	`jnl`	Multi-Variate Temporal GAN for Large Scale Video Generation. CoRR Andrés Muñoz, Mohammadreza Zolfaghari, Max Argus, Thomas Brox
2020	A*	`conf`	Multimodal Future Localization and Emergence Prediction for Objects in Egocentric View With a Reachability Prior. CVPR Osama Makansi, Özgün Çiçek, Kevin Buchicchio, Thomas Brox
2020	J	`jnl`	Multimodal Future Localization and Emergence Prediction for Objects in Egocentric View with a Reachability Prior. CoRR Osama Makansi, Özgün Çiçek, Kevin Buchicchio, Thomas Brox
2020	J	`jnl`	Optimized Generic Feature Learning for Few-shot Classification across Domains. CoRR Tonmoy Saikia, Thomas Brox, Cordelia Schmid
2020	—	`conf`	Recovering the Imperfect: Cell Segmentation in the Presence of Dynamically Localized Proteins. iMIMIC/MIL3ID/LABELS@MICCAI Özgün Çiçek, Yassine Marrakchi, Enoch Boasiako Antwi, Barbara Di Ventura, Thomas Brox
2020	J	`jnl`	Recovering the Imperfect: Cell Segmentation in the Presence of Dynamically Localized Proteins. CoRR Özgün Çiçek, Yassine Marrakchi, Enoch Boasiako Antwi, Barbara Di Ventura, Thomas Brox
2020	A*	`conf`	SELF: Learning to Filter Noisy Labels with Self-Ensembling. ICLR Duc Tam Nguyen, Chaithanya Kumar Mummadi, Thi-Phuong-Nhung Ngo, Thi Hoai Phuong Nguyen, Laura Beggel, Thomas Brox
2020	J	`jnl`	Scaling Imitation Learning in Minecraft. CoRR Artemij Amiranashvili, Nicolai Dorka, Wolfram Burgard, Vladlen Koltun, Thomas Brox
2020	A*	`conf`	Understanding and Robustifying Differentiable Architecture Search. ICLR Arber Zela, Thomas Elsken, Tonmoy Saikia, Yassine Marrakchi, Thomas Brox, Frank Hutter
2019	J	`jnl`	Adaptive Curriculum Generation from Demonstrations for Sim-to-Real Visuomotor Control. CoRR Lukás Hermann, Max Argus, Andreas Eitel, Artemij Amiranashvili, Wolfram Burgard, Thomas Brox
2019	A*	`conf`	Anomaly Detection With Multiple-Hypotheses Predictions. ICML Duc Tam Nguyen, Zhongyu Lou, Michael Klar, Thomas Brox
2019	A*	`conf`	AutoDispNet: Improving Disparity Estimation With AutoML. ICCV Tonmoy Saikia, Yassine Marrakchi, Arber Zela, Frank Hutter, Thomas Brox
2019	J	`jnl`	AutoDispNet: Improving Disparity Estimation with AutoML. CoRR Tonmoy Saikia, Yassine Marrakchi, Arber Zela, Frank Hutter, Thomas Brox
2019	A	`conf`	Automated Boxwood Topiary Trimming with a Robotic Arm and Integrated Stereo Vision IROS Dejan Kaljaca, Nikolaus Mayer, Bastiaan A. Vroegindeweij, Angelo Mencarelli, Eldert J. van Henten, Thomas Brox
2019	A*	`conf`	CAM-Convs: Camera-Aware Multi-Scale Convolutions for Single-View Depth. CVPR José M. Fácil, Benjamin Ummenhofer, Huizhong Zhou, Luis Montesano, Thomas Brox, Javier Civera
2019	J	`jnl`	CAM-Convs: Camera-Aware Multi-Scale Convolutions for Single-View Depth. CoRR José M. Fácil, Benjamin Ummenhofer, Huizhong Zhou, Luis Montesano, Thomas Brox, Javier Civera
2019	J	`jnl`	CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity. CoRR Aditya Bhatt, Daniel Palenicek, Boris Belousov, Max Argus, Artemij Amiranashvili, Thomas Brox, Jan Peters
2019	J	`jnl`	DeepUSPS: Deep Robust Unsupervised Saliency Prediction With Self-Supervision. CoRR Duc Tam Nguyen, Maximilian Dax, Chaithanya Kumar Mummadi, Thi-Phuong-Nhung Ngo, Thi Hoai Phuong Nguyen, Zhongyu Lou, Thomas Brox
2019	A*	`conf`	DeepUSPS: Deep Robust Unsupervised Saliency Prediction via Self-supervision. NeurIPS Duc Tam Nguyen, Maximilian Dax, Chaithanya Kumar Mummadi, Thi-Phuong-Nhung Ngo, Thi Hoai Phuong Nguyen, Zhongyu Lou, Thomas Brox
2019	A*	`conf`	Defending Against Universal Perturbations With Shared Adversarial Training. ICCV Chaithanya Kumar Mummadi, Thomas Brox, Jan Hendrik Metzen
2019	A*	`conf`	FreiHAND: A Dataset for Markerless Capture of Hand Pose and Shape From Single RGB Images. ICCV Christian Zimmermann, Duygu Ceylan, Jimei Yang, Bryan C. Russell, Max J. Argus, Thomas Brox
2019	J	`jnl`	FreiHAND: A Dataset for Markerless Capture of Hand Pose and Shape from Single RGB Images. CoRR Christian Zimmermann, Duygu Ceylan, Jimei Yang, Bryan C. Russell, Max Argus, Thomas Brox
2019	—	`conf`	Group Pruning Using a Bounded-ℓ GCPR Chaithanya Kumar Mummadi, Tim Genewein, Dan Zhang, Thomas Brox, Volker Fischer
2019	J	`jnl`	Group Pruning using a Bounded-Lp norm for Group Gating and Regularization. CoRR Chaithanya Kumar Mummadi, Tim Genewein, Dan Zhang, Thomas Brox, Volker Fischer
2019	J	`jnl`	Learning Representations for Predicting Future Activities. CoRR Mohammadreza Zolfaghari, Özgün Çiçek, Syed Mohsin Ali, Farzaneh Mahdisoltani, Can Zhang, Thomas Brox
2019	J	`jnl`	Lucid Data Dreaming for Video Object Segmentation. Int. J. Comput. Vis. Anna Khoreva, Rodrigo Benenson, Eddy Ilg, Thomas Brox, Bernt Schiele
2019	J	`jnl`	MAIN: Multi-Attention Instance Network for Video Segmentation. CoRR Juan Leon Alcazar, María Alejandra Bravo, Ali K. Thabet, Guillaume Jeanneret, Thomas Brox, Pablo Arbeláez, Bernard Ghanem
2019	J	`jnl`	Motion Perception in Reinforcement Learning with Dynamic Objects. CoRR Artemij Amiranashvili, Alexey Dosovitskiy, Vladlen Koltun, Thomas Brox
2019	J	`jnl`	Non-smooth Non-convex Bregman Minimization: Unification and New Algorithms. J. Optim. Theory Appl. Peter Ochs, Jalal Fadili, Thomas Brox
2019	A*	`conf`	Overcoming Limitations of Mixture Density Networks: A Sampling and Fitting Framework for Multimodal Future Prediction. CVPR Osama Makansi, Eddy Ilg, Özgün Çiçek, Thomas Brox
2019	J	`jnl`	Overcoming Limitations of Mixture Density Networks: A Sampling and Fitting Framework for Multimodal Future Prediction. CoRR Osama Makansi, Eddy Ilg, Özgün Çiçek, Thomas Brox
2019	J	`jnl`	Parting with Illusions about Deep Active Learning. CoRR Sudhanshu Mittal, Maxim Tatarchenko, Özgün Çiçek, Thomas Brox
2019	—	`ed.`	Pattern Recognition - 40th German Conference, GCPR 2018, Stuttgart, Germany, October 9-12, 2018, Proceedings GCPR Thomas Brox, Andrés Bruhn, Mario Fritz
2019	J	`jnl`	Robust Learning Under Label Noise With Iterative Noise-Filtering. CoRR Duc Tam Nguyen, Thi-Phuong-Nhung Ngo, Zhongyu Lou, Michael Klar, Laura Beggel, Thomas Brox
2019	J	`jnl`	SELF: Learning to Filter Noisy Labels with Self-Ensembling. CoRR Duc Tam Nguyen, Chaithanya Kumar Mummadi, Thi-Phuong-Nhung Ngo, Thi Hoai Phuong Nguyen, Laura Beggel, Thomas Brox
2019	A	`conf`	Self-supervised 3D Shape and Viewpoint Estimation from Single Images for Robotics. IROS Oier Mees, Maxim Tatarchenko, Thomas Brox, Wolfram Burgard
2019	J	`jnl`	Self-supervised 3D Shape and Viewpoint Estimation from Single Images for Robotics. CoRR Oier Mees, Maxim Tatarchenko, Thomas Brox, Wolfram Burgard
2019	J	`jnl`	Semi-Supervised Semantic Segmentation with High- and Low-level Consistency. CoRR Sudhanshu Mittal, Maxim Tatarchenko, Thomas Brox
2019	J	`jnl`	Understanding and Robustifying Differentiable Architecture Search. CoRR Arber Zela, Thomas Elsken, Tonmoy Saikia, Yassine Marrakchi, Thomas Brox, Frank Hutter
2019	A*	`conf`	What Do Single-View 3D Reconstruction Networks Learn? CVPR Maxim Tatarchenko, Stephan R. Richter, René Ranftl, Zhuwen Li, Vladlen Koltun, Thomas Brox
2019	J	`jnl`	What Do Single-view 3D Reconstruction Networks Learn? CoRR Maxim Tatarchenko, Stephan R. Richter, René Ranftl, Zhuwen Li, Vladlen Koltun, Thomas Brox
2018	A*	`conf`	3D Human Pose Estimation in RGBD Images for Robotic Task Learning. ICRA Christian Zimmermann, Tim Welschehold, Christian Dornhege, Wolfram Burgard, Thomas Brox
2018	J	`jnl`	3D Human Pose Estimation in RGBD Images for Robotic Task Learning. CoRR Christian Zimmermann, Tim Welschehold, Christian Dornhege, Wolfram Burgard, Thomas Brox
2018	J	`jnl`	Artistic Style Transfer for Videos and Spherical Images. Int. J. Comput. Vis. Manuel Ruder, Alexey Dosovitskiy, Thomas Brox
2018	B	`conf`	Box2Pix: Single-Shot Instance Segmentation by Assigning Pixels to Object Boxes. Intelligent Vehicles Symposium Jonas Uhrig, Eike Rehder, Björn Fröhlich, Uwe Franke, Thomas Brox
2018	J	`jnl`	Consistency-based anomaly detection with adaptive multiple-hypotheses predictions. CoRR Duc Tam Nguyen, Zhongyu Lou, Michael Klar, Thomas Brox
2018	A*	`conf`	DPDB-Net: Exploiting Dense Connections for Convolutional Encoders. ICRA Gabriel L. Oliveira, Wolfram Burgard, Thomas Brox
2018	—	`conf`	DeepTAM: Deep Tracking and Mapping. ECCV (16) Huizhong Zhou, Benjamin Ummenhofer, Thomas Brox
2018	J	`jnl`	DeepTAM: Deep Tracking and Mapping. CoRR Huizhong Zhou, Benjamin Ummenhofer, Thomas Brox
2018	J	`jnl`	Defending against Universal Perturbations with Shared Adversarial Training. CoRR Chaithanya Kumar Mummadi, Thomas Brox, Jan Hendrik Metzen
2018	—	`conf`	ECO: Efficient Convolutional Network for Online Video Understanding. ECCV (2) Mohammadreza Zolfaghari, Kamaljeet Singh, Thomas Brox
2018	J	`jnl`	ECO: Efficient Convolutional Network for Online Video Understanding. CoRR Mohammadreza Zolfaghari, Kamaljeet Singh, Thomas Brox
2018	J	`jnl`	Efficient and robust deep networks for semantic segmentation. Int. J. Robotics Res. Gabriel L. Oliveira, Claas Bollen, Wolfram Burgard, Thomas Brox
2018	J	`jnl`	FusionNet and AugmentedFlowNet: Selective Proxy Ground Truth for Training on Unlabeled Images. CoRR Osama Makansi, Eddy Ilg, Thomas Brox
2018	Misc	`conf`	Motion Perception in Reinforcement Learning with Dynamic Objects. CoRL Artemij Amiranashvili, Alexey Dosovitskiy, Vladlen Koltun, Thomas Brox
2018	—	`conf`	Occlusions, Motion and Depth Boundaries with a Generic Network for Disparity, Optical Flow or Scene Flow Estimation. ECCV (12) Eddy Ilg, Tonmoy Saikia, Margret Keuper, Thomas Brox
2018	J	`jnl`	Occlusions, Motion and Depth Boundaries with a Generic Network for Disparity, Optical Flow or Scene Flow Estimation. CoRR Eddy Ilg, Tonmoy Saikia, Margret Keuper, Thomas Brox
2018	—	`conf`	TD or not TD: Analyzing the Role of Temporal Differencing in Deep Reinforcement Learning. ICLR (Poster) Artemij Amiranashvili, Alexey Dosovitskiy, Vladlen Koltun, Thomas Brox
2018	J	`jnl`	TD or not TD: Analyzing the Role of Temporal Differencing in Deep Reinforcement Learning. CoRR Artemij Amiranashvili, Alexey Dosovitskiy, Vladlen Koltun, Thomas Brox
2018	—	`conf`	Temporally Consistent Depth Estimation in Videos with Recurrent Architectures. ECCV Workshops (3) Denis Tananaev, Huizhong Zhou, Benjamin Ummenhofer, Thomas Brox
2018	—	`conf`	The Second Workshop on 3D Reconstruction Meets Semantics: Challenge Results Discussion. ECCV Workshops (3) Radim Tylecek, Torsten Sattler, Hoang-An Le, Thomas Brox, Marc Pollefeys, Robert B. Fisher, Theo Gevers
2018	J	`jnl`	TrimBot2020: an outdoor robot for automatic gardening. CoRR 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
2018	—	`conf`	Uncertainty Estimates and Multi-hypotheses Networks for Optical Flow. ECCV (7) Eddy Ilg, Özgün Çiçek, Silvio Galesso, Aaron Klein, Osama Makansi, Frank Hutter, Thomas Brox
2018	J	`jnl`	Uncertainty Estimates for Optical Flow with Multi-Hypotheses Networks. CoRR Eddy Ilg, Özgün Çiçek, Silvio Galesso, Aaron Klein, Osama Makansi, Frank Hutter, Thomas Brox
2018	J	`jnl`	What Makes Good Synthetic Training Data for Learning Disparity and Optical Flow Estimation? CoRR Nikolaus Mayer, Eddy Ilg, Philipp Fischer, Caner Hazirbas, Daniel Cremers, Alexey Dosovitskiy, Thomas Brox
2018	J	`jnl`	What Makes Good Synthetic Training Data for Learning Disparity and Optical Flow Estimation? Int. J. Comput. Vis. Nikolaus Mayer, Eddy Ilg, Philipp Fischer, Caner Hazirbas, Daniel Cremers, Alexey Dosovitskiy, Thomas Brox
2017	—	`conf`	Adversarial Examples for Semantic Image Segmentation. ICLR (Workshop) Volker Fischer, Mummadi Chaithanya Kumar, Jan Hendrik Metzen, Thomas Brox
2017	J	`jnl`	Adversarial Examples for Semantic Image Segmentation. CoRR Volker Fischer, Mummadi Chaithanya Kumar, Jan Hendrik Metzen, Thomas Brox
2017	J	`jnl`	Artistic style transfer for videos and spherical images. CoRR Manuel Ruder, Alexey Dosovitskiy, Thomas Brox
2017	A*	`conf`	Chained Multi-stream Networks Exploiting Pose, Motion, and Appearance for Action Classification and Detection. ICCV Mohammadreza Zolfaghari, Gabriel L. Oliveira, Nima Sedaghat, Thomas Brox
2017	J	`jnl`	Chained Multi-stream Networks Exploiting Pose, Motion, and Appearance for Action Classification and Detection. CoRR Mohammadreza Zolfaghari, Gabriel L. Oliveira, Nima Sedaghat, Thomas Brox
2017	A*	`conf`	DeMoN: Depth and Motion Network for Learning Monocular Stereo. CVPR Benjamin Ummenhofer, Huizhong Zhou, Jonas Uhrig, Nikolaus Mayer, Eddy Ilg, Alexey Dosovitskiy, Thomas Brox
2017	—	`conf`	End-to-End Learning of Video Super-Resolution with Motion Compensation. GCPR Osama Makansi, Eddy Ilg, Thomas Brox
2017	J	`jnl`	End-to-End Learning of Video Super-Resolution with Motion Compensation. CoRR Osama Makansi, Eddy Ilg, Thomas Brox
2017	A*	`conf`	FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks. CVPR Eddy Ilg, Nikolaus Mayer, Tonmoy Saikia, Margret Keuper, Alexey Dosovitskiy, Thomas Brox
2017	J	`jnl`	Global, Dense Multiscale Reconstruction for a Billion Points. Int. J. Comput. Vis. Benjamin Ummenhofer, Thomas Brox
2017	A*	`conf`	Joint Graph Decomposition & Node Labeling: Problem, Algorithms, Applications. CVPR Evgeny Levinkov, Jonas Uhrig, Siyu Tang, Mohamed Omran, Eldar Insafutdinov, Alexander Kirillov, Carsten Rother, Thomas Brox, Bernt Schiele, Bjoern Andres
2017	A*	`conf`	Learning to Estimate 3D Hand Pose from Single RGB Images. ICCV Christian Zimmermann, Thomas Brox
2017	J	`jnl`	Learning to Estimate 3D Hand Pose from Single RGB Images. CoRR Christian Zimmermann, Thomas Brox
2017	J	`jnl`	Learning to Generate Chairs, Tables and Cars with Convolutional Networks. IEEE Trans. Pattern Anal. Mach. Intell. Alexey Dosovitskiy, Jost Tobias Springenberg, Maxim Tatarchenko, Thomas Brox
2017	J	`jnl`	Lucid Data Dreaming for Object Tracking. CoRR Anna Khoreva, Rodrigo Benenson, Eddy Ilg, Thomas Brox, Bernt Schiele
2017	J	`jnl`	Non-smooth Non-convex Bregman Minimization: Unification and new Algorithms. CoRR Peter Ochs, Jalal Fadili, Thomas Brox
2017	A*	`conf`	Octree Generating Networks: Efficient Convolutional Architectures for High-resolution 3D Outputs. ICCV Maxim Tatarchenko, Alexey Dosovitskiy, Thomas Brox
2017	J	`jnl`	Octree Generating Networks: Efficient Convolutional Architectures for High-resolution 3D Outputs. CoRR Maxim Tatarchenko, Alexey Dosovitskiy, Thomas Brox
2017	A	`conf`	Orientation-boosted Voxel Nets for 3D Object Recognition. BMVC Nima Sedaghat, Mohammadreza Zolfaghari, Ehsan Amiri, Thomas Brox
2017	A*	`conf`	Semantics-aware visual localization under challenging perceptual conditions. ICRA Tayyab Naseer, Gabriel L. Oliveira, Thomas Brox, Wolfram Burgard
2017	—	`conf`	Sparsity Invariant CNNs. 3DV Jonas Uhrig, Nick Schneider, Lukas Schneider, Uwe Franke, Thomas Brox, Andreas Geiger
2017	J	`jnl`	Sparsity Invariant CNNs. CoRR Jonas Uhrig, Nick Schneider, Lukas Schneider, Uwe Franke, Thomas Brox, Andreas Geiger
2017	J	`jnl`	Spatiotemporal Deformable Prototypes for Motion Anomaly Detection. Int. J. Comput. Vis. Robert Bensch, Nico Scherf, Jan Huisken, Thomas Brox, Olaf Ronneberger
2017	C	`conf`	Topometric Localization with Deep Learning. ISRR Gabriel L. Oliveira, Noha Radwan, Wolfram Burgard, Thomas Brox
2017	J	`jnl`	Topometric Localization with Deep Learning. CoRR Gabriel L. Oliveira, Noha Radwan, Wolfram Burgard, Thomas Brox
2017	A*	`conf`	Universal Adversarial Perturbations Against Semantic Image Segmentation. ICCV Jan Hendrik Metzen, Mummadi Chaithanya Kumar, Thomas Brox, Volker Fischer
2017	J	`jnl`	Universal Adversarial Perturbations Against Semantic Image Segmentation. CoRR Jan Hendrik Metzen, Mummadi Chaithanya Kumar, Thomas Brox, Volker Fischer
2016	—	`conf`	3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation. MICCAI (2) Özgün Çiçek, Ahmed Abdulkadir, Soeren S. Lienkamp, Thomas Brox, Olaf Ronneberger
2016	J	`jnl`	3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation. CoRR Özgün Çiçek, Ahmed Abdulkadir, Soeren S. Lienkamp, Thomas Brox, Olaf Ronneberger
2016	A*	`conf`	A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation. CVPR Nikolaus Mayer, Eddy Ilg, Philip Häusser, Philipp Fischer, Daniel Cremers, Alexey Dosovitskiy, Thomas Brox
2016	J	`jnl`	A Multi-cut Formulation for Joint Segmentation and Tracking of Multiple Objects. CoRR Margret Keuper, Siyu Tang, Zhongjie Yu, Bjoern Andres, Thomas Brox, Bernt Schiele
2016	—	`conf`	Artistic Style Transfer for Videos. GCPR Manuel Ruder, Alexey Dosovitskiy, Thomas Brox
2016	J	`jnl`	Artistic style transfer for videos. CoRR Manuel Ruder, Alexey Dosovitskiy, Thomas Brox
2016	J	`jnl`	DeMoN: Depth and Motion Network for Learning Monocular Stereo. CoRR Benjamin Ummenhofer, Huizhong Zhou, Jonas Uhrig, Nikolaus Mayer, Eddy Ilg, Alexey Dosovitskiy, Thomas Brox
2016	—	`conf`	Deep Multispectral Semantic Scene Understanding of Forested Environments Using Multimodal Fusion. ISER Abhinav Valada, Gabriel L. Oliveira, Thomas Brox, Wolfram Burgard
2016	A*	`conf`	Deep learning for human part discovery in images. ICRA Gabriel L. Oliveira, Abhinav Valada, Claas Bollen, Wolfram Burgard, Thomas Brox
2016	J	`jnl`	Discriminative Unsupervised Feature Learning with Exemplar Convolutional Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. Alexey Dosovitskiy, Philipp Fischer, Jost Tobias Springenberg, Martin A. Riedmiller, Thomas Brox
2016	A	`conf`	Efficient deep models for monocular road segmentation. IROS Gabriel L. Oliveira, Wolfram Burgard, Thomas Brox
2016	J	`jnl`	FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks. CoRR Eddy Ilg, Nikolaus Mayer, Tonmoy Saikia, Margret Keuper, Alexey Dosovitskiy, Thomas Brox
2016	—	`conf`	Generating Images with Perceptual Similarity Metrics based on Deep Networks. NIPS Alexey Dosovitskiy, Thomas Brox
2016	J	`jnl`	Generating Images with Perceptual Similarity Metrics based on Deep Networks. CoRR Alexey Dosovitskiy, Thomas Brox
2016	A*	`conf`	Inverting Visual Representations with Convolutional Networks. CVPR Alexey Dosovitskiy, Thomas Brox
2016	—	`conf`	Multi-view 3D Models from Single Images with a Convolutional Network. ECCV (7) Maxim Tatarchenko, Alexey Dosovitskiy, Thomas Brox
2016	J	`jnl`	Object Detection, Tracking, and Motion Segmentation for Object-level Video Segmentation. CoRR Benjamin Drayer, Thomas Brox
2016	J	`jnl`	Orientation-boosted Voxel Nets for 3D Object Recognition. CoRR Nima Sedaghat, Mohammadreza Zolfaghari, Thomas Brox
2016	—	`conf`	Pixel-Level Encoding and Depth Layering for Instance-Level Semantic Labeling. GCPR Jonas Uhrig, Marius Cordts, Uwe Franke, Thomas Brox
2016	J	`jnl`	Pixel-level Encoding and Depth Layering for Instance-level Semantic Labeling. CoRR Jonas Uhrig, Marius Cordts, Uwe Franke, Thomas Brox
2016	—	`conf`	Point-Wise Mutual Information-Based Video Segmentation with High Temporal Consistency. ECCV Workshops (3) Margret Keuper, Thomas Brox
2016	J	`jnl`	Point-wise mutual information-based video segmentation with high temporal consistency. CoRR Margret Keuper, Thomas Brox
2016	—	`conf`	Protein contact prediction from amino acid co-evolution using convolutional networks for graph-valued images. NIPS Vladimir Golkov, Marcin J. Skwark, Antonij Golkov, Alexey Dosovitskiy, Thomas Brox, Jens Meiler, Daniel Cremers
2016	—	`ch.`	Segmentation in Point Clouds from RGB-D Using Spectral Graph Reduction. Perspectives in Shape Analysis Margret Keuper, Thomas Brox
2016	—	`ch.`	Shape Distances for Binary Image Segmentation. Perspectives in Shape Analysis Frank R. Schmidt, Lena Gorelick, Ismail Ben Ayed, Yuri Boykov, Thomas Brox
2016	—	`conf`	Synthesizing the preferred inputs for neurons in neural networks via deep generator networks. NIPS Anh Mai Nguyen, Alexey Dosovitskiy, Jason Yosinski, Thomas Brox, Jeff Clune
2016	J	`jnl`	Synthesizing the preferred inputs for neurons in neural networks via deep generator networks. CoRR Anh Mai Nguyen, Alexey Dosovitskiy, Jason Yosinski, Thomas Brox, Jeff Clune
2016	J	`jnl`	Techniques for Gradient-Based Bilevel Optimization with Non-smooth Lower Level Problems. J. Math. Imaging Vis. Peter Ochs, René Ranftl, Thomas Brox, Thomas Pock
2016	—	`conf`	Towards A Multidimensional Perspective on Shared Autonomy. AAAI Fall Symposia Malte Schilling, Stefan Kopp, Sven Wachsmuth, Britta Wrede, Helge J. Ritter, Thomas Brox, Bernhard Nebel, Wolfram Burgard
2016	J	`jnl`	White Matter MS-Lesion Segmentation Using a Geometric Brain Model. IEEE Trans. Medical Imaging Maddalena Strumia, Frank R. Schmidt, Constantinos Anastasopoulos, Cristina Granziera, Gunnar Krueger, Thomas Brox
2016	J	`jnl`	q-Space Deep Learning: Twelve-Fold Shorter and Model-Free Diffusion MRI Scans. IEEE Trans. Medical Imaging Vladimir Golkov, Alexey Dosovitskiy, Jonathan I. Sperl, Marion I. Menzel, Michael Czisch, Philipp G. Sämann, Thomas Brox, Daniel Cremers
2015	J	`jnl`	A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation. CoRR Nikolaus Mayer, Eddy Ilg, Philip Häusser, Philipp Fischer, Daniel Cremers, Alexey Dosovitskiy, Thomas Brox
2015	—	`conf`	Bilevel Optimization with Nonsmooth Lower Level Problems. SSVM Peter Ochs, René Ranftl, Thomas Brox, Thomas Pock
2015	A	`conf`	Combinatorial Regularization of Descriptor Matching for Optical Flow Estimation. BMVC Benjamin Drayer, Thomas Brox
2015	A*	`conf`	Efficient Decomposition of Image and Mesh Graphs by Lifted Multicuts. ICCV Margret Keuper, Evgeny Levinkov, Nicolas Bonneel, Guillaume Lavoué, Thomas Brox, Bjoern Andres
2015	J	`jnl`	Efficient Decomposition of Image and Mesh Graphs by Lifted Multicuts. CoRR Margret Keuper, Evgeny Levinkov, Nicolas Bonneel, Guillaume Lavoué, Thomas Brox, Bjoern Andres
2015	A*	`conf`	FlowNet: Learning Optical Flow with Convolutional Networks. ICCV Alexey Dosovitskiy, Philipp Fischer, Eddy Ilg, Philip Häusser, Caner Hazirbas, Vladimir Golkov, Patrick van der Smagt, Daniel Cremers, Thomas Brox
2015	J	`jnl`	FlowNet: Learning Optical Flow with Convolutional Networks. CoRR Philipp Fischer, Alexey Dosovitskiy, Eddy Ilg, Philip Häusser, Caner Hazirbas, Vladimir Golkov, Patrick van der Smagt, Daniel Cremers, Thomas Brox
2015	A*	`conf`	Global, Dense Multiscale Reconstruction for a Billion Points. ICCV Benjamin Ummenhofer, Thomas Brox
2015	—	`conf`	Image Orientation Estimation with Convolutional Networks. GCPR Philipp Fischer, Alexey Dosovitskiy, Thomas Brox
2015	J	`jnl`	Inverting Convolutional Networks with Convolutional Networks. CoRR Alexey Dosovitskiy, Thomas Brox
2015	A*	`conf`	Learning to generate chairs with convolutional neural networks. CVPR Alexey Dosovitskiy, Jost Tobias Springenberg, Thomas Brox
2015	A*	`conf`	Motion Trajectory Segmentation via Minimum Cost Multicuts. ICCV Margret Keuper, Bjoern Andres, Thomas Brox
2015	J	`jnl`	On Iteratively Reweighted Algorithms for Nonsmooth Nonconvex Optimization in Computer Vision. SIAM J. Imaging Sci. Peter Ochs, Alexey Dosovitskiy, Thomas Brox, Thomas Pock
2015	J	`jnl`	Single-view to Multi-view: Reconstructing Unseen Views with a Convolutional Network. CoRR Maxim Tatarchenko, Alexey Dosovitskiy, Thomas Brox
2015	A	`conf`	Spatiotemporal Deformable Prototypes for Motion Anomaly Detection. BMVC Robert Bensch, Thomas Brox, Olaf Ronneberger
2015	—	`conf`	Striving for Simplicity: The All Convolutional Net. ICLR (Workshop) Jost Tobias Springenberg, Alexey Dosovitskiy, Thomas Brox, Martin A. Riedmiller
2015	—	`conf`	U-Net: Convolutional Networks for Biomedical Image Segmentation. MICCAI (3) Olaf Ronneberger, Philipp Fischer, Thomas Brox
2015	J	`jnl`	U-Net: Convolutional Networks for Biomedical Image Segmentation. CoRR Olaf Ronneberger, Philipp Fischer, Thomas Brox
2015	A*	`conf`	Unsupervised Generation of a View Point Annotated Car Dataset from Videos. ICCV Nima Sedaghat, Thomas Brox
2015	A*	`conf`	Video Segmentation with Just a Few Strokes. ICCV Naveen Shankar Nagaraja, Frank R. Schmidt, Thomas Brox
2015	J	`jnl`	iPiasco: Inertial Proximal Algorithm for Strongly Convex Optimization. J. Math. Imaging Vis. Peter Ochs, Thomas Brox, Thomas Pock
2015	—	`conf`	q-Space Deep Learning for Twelve-Fold Shorter and Model-Free Diffusion MRI Scans. MICCAI (1) 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
2014	—	`conf`	Dense Semi-rigid Scene Flow Estimation from RGBD Images. ECCV (7) Julian Quiroga, Thomas Brox, Frédéric Devernay, James L. Crowley
2014	—	`ch.`	Diffusion Filtering. Computer Vision, A Reference Guide Thomas Brox
2014	—	`conf`	Discriminative Unsupervised Feature Learning with Convolutional Neural Networks. NIPS Alexey Dosovitskiy, Jost Tobias Springenberg, Martin A. Riedmiller, Thomas Brox
2014	J	`jnl`	Discriminative Unsupervised Feature Learning with Convolutional Neural Networks. CoRR Alexey Dosovitskiy, Jost Tobias Springenberg, Martin A. Riedmiller, Thomas Brox
2014	—	`conf`	First International Workshop on Video Segmentation - Panel Discussion. ECCV Workshops (4) Thomas Brox, Fabio Galasso, Fuxin Li, James Matthew Rehg, Bernt Schiele
2014	—	`conf`	Image Descriptors Based on Curvature Histograms. GCPR Philipp Fischer, Thomas Brox
2014	J	`jnl`	Learning to Generate Chairs with Convolutional Neural Networks. CoRR Alexey Dosovitskiy, Jost Tobias Springenberg, Thomas Brox
2014	—	`ch.`	Maximum Likelihood Estimation. Computer Vision, A Reference Guide Thomas Brox
2014	—	`conf`	Motion Based Foreground Detection and Poselet Motion Features for Action Recognition. ACCV (5) Erwin Kraft, Thomas Brox
2014	—	`ch.`	Optical Flow. Computer Vision, A Reference Guide Thomas Brox
2014	A*	`conf`	Reconstruction of rigid body models from motion distorted laser range data using optical flow. ICRA Eddy Ilg, Rainer Kümmerle, Wolfram Burgard, Thomas Brox
2014	J	`jnl`	Rotation-Invariant HOG Descriptors Using Fourier Analysis in Polar and Spherical Coordinates. Int. J. Comput. Vis. Kun Liu, Henrik Skibbe, Thorsten Schmidt, Thomas Blein, Klaus Palme, Thomas Brox, Olaf Ronneberger
2014	J	`jnl`	Segmentation of Moving Objects by Long Term Video Analysis. IEEE Trans. Pattern Anal. Mach. Intell. Peter Ochs, Jitendra Malik, Thomas Brox
2014	A*	`conf`	Spectral Graph Reduction for Efficient Image and Streaming Video Segmentation. CVPR Fabio Galasso, Margret Keuper, Thomas Brox, Bernt Schiele
2014	—	`conf`	Training Deformable Object Models for Human Detection Based on Alignment and Clustering. ECCV (5) Benjamin Drayer, Thomas Brox
2014	—	`conf`	Unsupervised feature learning by augmenting single images. ICLR (Workshop Poster) Alexey Dosovitskiy, Jost Tobias Springenberg, Thomas Brox
2014	J	`jnl`	iPiano: Inertial Proximal Algorithm for Non-Convex Optimization. CoRR Peter Ochs, Yunjin Chen, Thomas Brox, Thomas Pock
2014	J	`jnl`	iPiano: Inertial Proximal Algorithm for Nonconvex Optimization. SIAM J. Imaging Sci. Peter Ochs, Yunjin Chen, Thomas Brox, Thomas Pock
2013	A*	`conf`	A Unified Video Segmentation Benchmark: Annotation, Metrics and Analysis. ICCV Fabio Galasso, Naveen Shankar Nagaraja, Tatiana Jimenez Cardenas, Thomas Brox, Bernt Schiele
2013	A*	`conf`	An Iterated L1 Algorithm for Non-smooth Non-convex Optimization in Computer Vision. CVPR Peter Ochs, Alexey Dosovitskiy, Thomas Brox, Thomas Pock
2013	A*	`conf`	Blind Deconvolution of Widefield Fluorescence Microscopic Data by Regularization of the Optical Transfer Function (OTF). CVPR Margret Keuper, Thorsten Schmidt, Maja Temerinac-Ott, Jan Padeken, Patrick Heun, Olaf Ronneberger, Thomas Brox
2013	—	`conf`	Discriminative Detection and Alignment in Volumetric Data. GCPR Dominic Mai, Philipp Fischer, Thomas Blein, Jasmin Dürr, Klaus Palme, Thomas Brox, Olaf Ronneberger
2013	—	`conf`	Distances Based on Non-rigid Alignment for Comparison of Different Object Instances. GCPR Benjamin Drayer, Thomas Brox
2013	A*	`conf`	Point-Based 3D Reconstruction of Thin Objects. ICCV Benjamin Ummenhofer, Thomas Brox
2012	—	`conf`	Blind deconvolution with PSF regularization for wide-field microscopy. ISBI Margret Keuper, Maja Temerinac-Ott, Jan Padeken, Patrick Heun, Thomas Brox, Hans Burkhardt, Olaf Ronneberger
2012	—	`conf`	Dense 3D Reconstruction with a Hand-Held Camera. DAGM/OAGM Symposium Benjamin Ummenhofer, Thomas Brox
2012	J	`jnl`	Fast Joint Estimation of Silhouettes and Dense 3D Geometry from Multiple Images. IEEE Trans. Pattern Anal. Mach. Intell. Kalin Kolev, Thomas Brox, Daniel Cremers
2012	J	`jnl`	Fast Rotation Invariant 3D Feature Computation Utilizing Efficient Local Neighborhood Operators. IEEE Trans. Pattern Anal. Mach. Intell. Henrik Skibbe, Marco Reisert, Thorsten Schmidt, Thomas Brox, Olaf Ronneberger, Hans Burkhardt
2012	—	`conf`	Hierarchy of Localized Random Forests for Video Annotation. DAGM/OAGM Symposium Naveen Shankar Nagaraja, Peter Ochs, Kun Liu, Thomas Brox
2012	A*	`conf`	Higher order motion models and spectral clustering. CVPR Peter Ochs, Thomas Brox
2012	J	`jnl`	Multiview Deblurring for 3-D Images from Light-Sheet-Based Fluorescence Microscopy. IEEE Trans. Image Process. Maja Temerinac-Ott, Olaf Ronneberger, Peter Ochs, Wolfgang Driever, Thomas Brox, Hans Burkhardt
2012	J	`jnl`	Region-based pose tracking with occlusions using 3D models. Mach. Vis. Appl. Christian Schmaltz, Bodo Rosenhahn, Thomas Brox, Joachim Weickert
2011	—	`conf`	Hierarchical Markov Random Fields for mast cell segmentation in electron microscopic recordings. ISBI Margret Keuper, Thorsten Schmidt, Marta Rodriguez-Franco, Wolfgang Schamel, Thomas Brox, Hans Burkhardt, Olaf Ronneberger
2011	J	`jnl`	Large Displacement Optical Flow: Descriptor Matching in Variational Motion Estimation. IEEE Trans. Pattern Anal. Mach. Intell. Thomas Brox, Jitendra Malik
2011	A*	`conf`	Object segmentation by alignment of poselet activations to image contours. CVPR Thomas Brox, Lubomir D. Bourdev, Subhransu Maji, Jitendra Malik
2011	A*	`conf`	Object segmentation in video: A hierarchical variational approach for turning point trajectories into dense regions. ICCV Peter Ochs, Thomas Brox
2011	A*	`conf`	Occlusion boundary detection and figure/ground assignment from optical flow. CVPR Patrik Sundberg, Thomas Brox, Michael Maire, Pablo Arbeláez, Jitendra Malik
2011	J	`jnl`	Stereoscopic Scene Flow Computation for 3D Motion Understanding. Int. J. Comput. Vis. Andreas Wedel, Thomas Brox, Tobi Vaudrey, Clemens Rabe, Uwe Franke, Daniel Cremers
2010	J	`jnl`	Colour, texture, and motion in level set based segmentation and tracking. Image Vis. Comput. Thomas Brox, Mikaël Rousson, Rachid Deriche, Joachim Weickert
2010	J	`jnl`	Combined Region and Motion-Based 3D Tracking of Rigid and Articulated Objects. IEEE Trans. Pattern Anal. Mach. Intell. Thomas Brox, Bodo Rosenhahn, Juergen Gall, Daniel Cremers
2010	—	`conf`	Dense Point Trajectories by GPU-Accelerated Large Displacement Optical Flow. ECCV (1) Narayanan Sundaram, Thomas Brox, Kurt Keutzer
2010	—	`conf`	Detecting People Using Mutually Consistent Poselet Activations. ECCV (6) Lubomir D. Bourdev, Subhransu Maji, Thomas Brox, Jitendra Malik
2010	—	`conf`	Object Segmentation by Long Term Analysis of Point Trajectories. ECCV (5) Thomas Brox, Jitendra Malik
2010	J	`jnl`	Optimization and Filtering for Human Motion Capture. Int. J. Comput. Vis. Juergen Gall, Bodo Rosenhahn, Thomas Brox, Hans-Peter Seidel
2009	J	`jnl`	Continuous Global Optimization in Multiview 3D Reconstruction. Int. J. Comput. Vis. Kalin Kolev, Maria Klodt, Thomas Brox, Daniel Cremers
2009	A*	`conf`	Large displacement optical flow. CVPR Thomas Brox, Christoph Bregler, Jitendra Malik
2009	—	`conf`	Localised Mixture Models in Region-Based Tracking. DAGM-Symposium Christian Schmaltz, Bodo Rosenhahn, Thomas Brox, Joachim Weickert
2009	J	`jnl`	On Local Region Models and a Statistical Interpretation of the Piecewise Smooth Mumford-Shah Functional. Int. J. Comput. Vis. Thomas Brox, Daniel Cremers
2008	—	`conf`	An Evaluation Approach for Scene Flow with Decoupled Motion and Position. Statistical and Geometrical Approaches to Visual Motion Analysis Andreas Wedel, Tobi Vaudrey, Annemarie Meißner, Clemens Rabe, Thomas Brox, Uwe Franke, Daniel Cremers
2008	—	`conf`	Dealing with Self-occlusion in Region Based Motion Capture by Means of Internal Regions. AMDO Christian Schmaltz, Bodo Rosenhahn, Thomas Brox, Joachim Weickert, Lennart Wietzke, Gerald Sommer
2008	—	`conf`	Efficient Dense Scene Flow from Sparse or Dense Stereo Data. ECCV (1) Andreas Wedel, Clemens Rabe, Tobi Vaudrey, Thomas Brox, Uwe Franke, Daniel Cremers
2008	J	`jnl`	Efficient Nonlocal Means for Denoising of Textural Patterns. IEEE Trans. Image Process. Thomas Brox, Oliver Kleinschmidt, Daniel Cremers
2008	A*	`conf`	Markerless motion capture of man-machine interaction. CVPR Bodo Rosenhahn, Christian Schmaltz, Thomas Brox, Joachim Weickert, Daniel Cremers, Hans-Peter Seidel
2008	—	`conf`	Modeling and Tracking Line-Constrained Mechanical Systems. RobVis Bodo Rosenhahn, Thomas Brox, Daniel Cremers, Hans-Peter Seidel
2008	—	`conf`	Staying Well Grounded in Markerless Motion Capture. DAGM-Symposium Bodo Rosenhahn, Christian Schmaltz, Thomas Brox, Joachim Weickert, Hans-Peter Seidel
2007	—	`conf`	Continuous Global Optimization in Multiview 3D Reconstruction. EMMCVPR Kalin Kolev, Maria Klodt, Thomas Brox, Selim Esedoglu, Daniel Cremers
2007	—	`conf`	Iterated Nonlocal Means for Texture Restoration. SSVM Thomas Brox, Daniel Cremers
2007	—	`conf`	Nonparametric Density Estimation with Adaptive, Anisotropic Kernels for Human Motion Tracking. Workshop on Human Motion Thomas Brox, Bodo Rosenhahn, Daniel Cremers, Hans-Peter Seidel
2007	—	`conf`	Occlusion Modeling by Tracking Multiple Objects. DAGM-Symposium Christian Schmaltz, Bodo Rosenhahn, Thomas Brox, Joachim Weickert, Daniel Cremers, Lennart Wietzke, Gerald Sommer
2007	—	`conf`	On the Statistical Interpretation of the Piecewise Smooth Mumford-Shah Functional. SSVM Thomas Brox, Daniel Cremers
2007	—	`conf`	Online Smoothing for Markerless Motion Capture. DAGM-Symposium Bodo Rosenhahn, Thomas Brox, Daniel Cremers, Hans-Peter Seidel
2007	—	`conf`	Region-Based Pose Tracking. IbPRIA (2) Christian Schmaltz, Bodo Rosenhahn, Thomas Brox, Daniel Cremers, Joachim Weickert, Lennart Wietzke, Gerald Sommer
2007	A*	`conf`	Scaled Motion Dynamics for Markerless Motion Capture. CVPR Bodo Rosenhahn, Thomas Brox, Hans-Peter Seidel
2007	J	`jnl`	Three-Dimensional Shape Knowledge for Joint Image Segmentation and Pose Tracking. Int. J. Comput. Vis. Bodo Rosenhahn, Thomas Brox, Joachim Weickert
2007	—	`conf`	WarpCut - Fast Obstacle Segmentation in Monocular Video. DAGM-Symposium Andreas Wedel, Thomas Schoenemann, Thomas Brox, Daniel Cremers
2006	C	`conf`	A Comparison of Shape Matching Methods for Contour Based Pose Estimation. IWCIA Bodo Rosenhahn, Thomas Brox, Daniel Cremers, Hans-Peter Seidel
2006	J	`jnl`	A TV flow based local scale estimate and its application to texture discrimination. J. Vis. Commun. Image Represent. Thomas Brox, Joachim Weickert
2006	—	`ch.`	Adaptive Structure Tensors and their Applications. Visualization and Processing of Tensor Fields Thomas Brox, Rein van den Boomgaard, François Lauze, Joost van de Weijer, Joachim Weickert, Pavel Mrázek, Pierre Kornprobst
2006	—	`conf`	Contours, Optic Flow, and Prior Knowledge: Cues for Capturing 3D Human Motion in Videos. Human Motion Thomas Brox, Bodo Rosenhahn, Daniel Cremers
2006	—	`ch.`	Diffusion Filters and Wavelets: What Can They Learn from Each Other? Handbook of Mathematical Models in Computer Vision Joachim Weickert, Gabriele Steidl, Pavel Mrázek, Martin Welk, Thomas Brox
2006	—	`conf`	Fully-Automated Analysis of Muscle Fiber Images with Combined Region and Edge-Based Active Contours. Bildverarbeitung für die Medizin Thomas Brox, Yoo-Jin Kim, Joachim Weickert, Wolfgang Feiden
2006	—	`conf`	High Accuracy Optical Flow Serves 3-D Pose Tracking: Exploiting Contour and Flow Based Constraints. ECCV (2) Thomas Brox, Bodo Rosenhahn, Daniel Cremers, Hans-Peter Seidel
2006	J	`jnl`	Highly Accurate Optic Flow Computation with Theoretically Justified Warping. Int. J. Comput. Vis. Nils Papenberg, Andrés Bruhn, Thomas Brox, Stephan Didas, Joachim Weickert
2006	—	`conf`	Learning for Multi-view 3D Tracking in the Context of Particle Filters. ISVC (2) Juergen Gall, Bodo Rosenhahn, Thomas Brox, Hans-Peter Seidel
2006	J	`jnl`	Level Set Segmentation With Multiple Regions. IEEE Trans. Image Process. Thomas Brox, Joachim Weickert
2006	J	`jnl`	Nonlinear structure tensors. Image Vis. Comput. Thomas Brox, Joachim Weickert, Bernhard Burgeth, Pavel Mrázek
2006	—	`conf`	Nonparametric Density Estimation for Human Pose Tracking. DAGM-Symposium Thomas Brox, Bodo Rosenhahn, Uwe G. Kersting, Daniel Cremers
2006	J	`jnl`	Numerical aspects of TV flow. Numer. Algorithms Michael Breuß, Andrea Bürgel, Thomas Brox, Thomas Sonar, Joachim Weickert
2006	—	`ch.`	PDEs for Tensor Image Processing. Visualization and Processing of Tensor Fields Joachim Weickert, Christian Feddern, Martin Welk, Bernhard Burgeth, Thomas Brox
2006	—	`conf`	Realtime Depth Estimation and Obstacle Detection from Monocular Video. DAGM-Symposium Andreas Wedel, Uwe Franke, Jens Klappstein, Thomas Brox, Daniel Cremers
2006	—	`conf`	Robust Variational Segmentation of 3D Objects from Multiple Views. DAGM-Symposium Kalin Kolev, Thomas Brox, Daniel Cremers
2006	—	`conf`	Tracking Clothed People. Human Motion Bodo Rosenhahn, Uwe G. Kersting, Katie Powell, Thomas Brox, Hans-Peter Seidel
2006	—	`conf`	Variational Motion Segmentation with Level Sets. ECCV (1) Thomas Brox, Andrés Bruhn, Joachim Weickert
2005	—	`conf`	A System for Marker-Less Human Motion Estimation. DAGM-Symposium Bodo Rosenhahn, Uwe G. Kersting, Andrew W. Smith, Jason K. Gurney, Thomas Brox, Reinhard Klette
2005	—	`conf`	PDE-Based Deconvolution with Forward-Backward Diffusivities and Diffusion Tensors. Scale-Space Martin Welk, David Theis, Thomas Brox, Joachim Weickert
2005	—	`conf`	Stabilised Nonlinear Inverse Diffusion for Approximating Hyperbolic PDEs. Scale-Space Michael Breuß, Thomas Brox, Thomas Sonar, Joachim Weickert
2005	—	`conf`	Three-Dimensional Shape Knowledge for Joint Image Segmentation and Pose Estimation. DAGM-Symposium Thomas Brox, Bodo Rosenhahn, Joachim Weickert
2005	—	`—`	Von Pixeln zu Regionen: partielle Differentialgleichungen in der Bildanalyse. Thomas Brox
2004	—	`conf`	A TV Flow Based Local Scale Measure for Texture Discrimination. ECCV (2) Thomas Brox, Joachim Weickert
2004	—	`conf`	High Accuracy Optical Flow Estimation Based on a Theory for Warping. ECCV (4) Thomas Brox, Andrés Bruhn, Nils Papenberg, Joachim Weickert
2004	—	`conf`	Level Set Based Image Segmentation with Multiple Regions. DAGM-Symposium Thomas Brox, Joachim Weickert
2004	J	`jnl`	On the Equivalence of Soft Wavelet Shrinkage, Total Variation Diffusion, Total Variation Regularization, and SIDEs. SIAM J. Numer. Anal. Gabriele Steidl, Joachim Weickert, Thomas Brox, Pavel Mrázek, Martin Welk
2003	—	`conf`	Active Unsupervised Texture Segmentation on a Diffusion Based Feature Space. CVPR (2) Mikaël Rousson, Thomas Brox, Rachid Deriche
2003	—	`conf`	Equivalence Results for TV Diffusion and TV Regularisation. Scale-Space Thomas Brox, Martin Welk, Gabriele Steidl, Joachim Weickert
2003	C	`conf`	Unsupervised Segmentation Incorporating Colour, Texture, and Motion. CAIP Thomas Brox, Mikaël Rousson, Rachid Deriche, Joachim Weickert
2002	—	`conf`	Nonlinear Matrix Diffusion for Optic Flow Estimation. DAGM-Symposium Thomas Brox, Joachim Weickert