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Point Transformer

Dec 16, 2020
Hengshuang Zhao, Li Jiang, Jiaya Jia, Philip Torr, Vladlen Koltun


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Stable View Synthesis

Nov 14, 2020
Gernot Riegler, Vladlen Koltun

* https://youtu.be/gqgXIY09htI 

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Rearrangement: A Challenge for Embodied AI

Nov 03, 2020
Dhruv Batra, Angel X. Chang, Sonia Chernova, Andrew J. Davison, Jia Deng, Vladlen Koltun, Sergey Levine, Jitendra Malik, Igor Mordatch, Roozbeh Mottaghi, Manolis Savva, Hao Su

* Authors are listed in alphabetical order 

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Learning Quadrupedal Locomotion over Challenging Terrain

Oct 21, 2020
Joonho Lee, Jemin Hwangbo, Lorenz Wellhausen, Vladlen Koltun, Marco Hutter

* Science Robotics 2020 Vol. 5, Issue 47, eabc5986 

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NeRF++: Analyzing and Improving Neural Radiance Fields

Oct 21, 2020
Kai Zhang, Gernot Riegler, Noah Snavely, Vladlen Koltun

* Code is available at https://github.com/Kai-46/nerfplusplus; fix a minor formatting issue in Fig. 4 

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OpenBot: Turning Smartphones into Robots

Aug 24, 2020
Matthias Müller, Vladlen Koltun


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Free View Synthesis

Aug 12, 2020
Gernot Riegler, Vladlen Koltun

* published at ECCV 2020, https://youtu.be/JDJPn3ZtfZs 

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Drinking from a Firehose: Continual Learning with Web-scale Natural Language

Jul 18, 2020
Hexiang Hu, Ozan Sener, Fei Sha, Vladlen Koltun

* Source Code: https://github.com/firehose-dataset/congrad 

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Dynamic Low-light Imaging with Quanta Image Sensors

Jul 16, 2020
Yiheng Chi, Abhiram Gnanasambandam, Vladlen Koltun, Stanley H. Chan

* Published in the 16th European Conference on Computer Vision (ECCV) 2020 

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Scaling Imitation Learning in Minecraft

Jul 06, 2020
Artemij Amiranashvili, Nicolai Dorka, Wolfram Burgard, Vladlen Koltun, Thomas Brox


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Scalable Differentiable Physics for Learning and Control

Jul 04, 2020
Yi-Ling Qiao, Junbang Liang, Vladlen Koltun, Ming C. Lin

* Proceedings of the 37th International Conference on Machine Learning, ICML 2020 

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Sample Factory: Egocentric 3D Control from Pixels at 100000 FPS with Asynchronous Reinforcement Learning

Jun 23, 2020
Aleksei Petrenko, Zhehui Huang, Tushar Kumar, Gaurav Sukhatme, Vladlen Koltun

* Paper published in ICML2020. Visualizations of trained policies can be found at https://sites.google.com/view/sample-factory 

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Multiscale Deep Equilibrium Models

Jun 15, 2020
Shaojie Bai, Vladlen Koltun, J. Zico Kolter


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Deep Drone Acrobatics

Jun 11, 2020
Elia Kaufmann, Antonio Loquercio, René Ranftl, Matthias Müller, Vladlen Koltun, Davide Scaramuzza

* Robotics, Science, and Systems (RSS), 2020 
* 8 pages + 2 pages references. Video: https://youtu.be/2N_wKXQ6MXA. Code: https://github.com/uzh-rpg/deep_drone_acrobatics 

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Auto-decoding Graphs

Jun 04, 2020
Sohil Atul Shah, Vladlen Koltun


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High-dimensional Convolutional Networks for Geometric Pattern Recognition

May 17, 2020
Christopher Choy, Junha Lee, Rene Ranftl, Jaesik Park, Vladlen Koltun

* Accepted for CVPR 2020 oral presentation 

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Deep Global Registration

May 08, 2020
Christopher Choy, Wei Dong, Vladlen Koltun

* Accepted for CVPR'20 oral presentation 

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Exploring Self-attention for Image Recognition

Apr 28, 2020
Hengshuang Zhao, Jiaya Jia, Vladlen Koltun

* CVPR 2020, Code available at https://github.com/hszhao/SAN 

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Learning to Guide Random Search

Apr 25, 2020
Ozan Sener, Vladlen Koltun

* Published at ICLR 2020, Code is available at: https://github.com/intel-isl/LMRS 

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Tracking Objects as Points

Apr 02, 2020
Xingyi Zhou, Vladlen Koltun, Philipp Krähenbühl

* Code available at https://github.com/xingyizhou/CenterTrack 

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Learning to Control PDEs with Differentiable Physics

Jan 21, 2020
Philipp Holl, Vladlen Koltun, Nils Thuerey

* Published as a conference paper at ICLR 2020. Main text: 10 pages, 6 figures, 3 tables. Total: 28 pages, 18 figures 

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Learning by Cheating

Dec 27, 2019
Dian Chen, Brady Zhou, Vladlen Koltun, Philipp Krähenbühl

* Paper published in CoRL2019 

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Deep Equilibrium Models

Sep 03, 2019
Shaojie Bai, J. Zico Kolter, Vladlen Koltun

* NeurIPS 2019 Spotlight 

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Consensus Maximization Tree Search Revisited

Aug 25, 2019
Zhipeng Cai, Tat-Jun Chin, Vladlen Koltun

* Accepted as oral presentation to ICCV'19 

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Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-Shot Cross-Dataset Transfer

Jul 02, 2019
Katrin Lasinger, René Ranftl, Konrad Schindler, Vladlen Koltun


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The Limited Multi-Label Projection Layer

Jun 22, 2019
Brandon Amos, Vladlen Koltun, J. Zico Kolter


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