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Vision Transformers for Dense Prediction


Mar 24, 2021
René Ranftl, Alexey Bochkovskiy, Vladlen Koltun

* 15 pages 

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Probabilistic two-stage detection


Mar 12, 2021
Xingyi Zhou, Vladlen Koltun, Philipp KrĂ€henbĂŒhl

* Code is available at https://github.com/xingyizhou/CenterNet2 

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Large Batch Simulation for Deep Reinforcement Learning


Mar 12, 2021
Brennan Shacklett, Erik Wijmans, Aleksei Petrenko, Manolis Savva, Dhruv Batra, Vladlen Koltun, Kayvon Fatahalian

* Published as a conference paper at ICLR 2021 

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Self-supervised Geometric Perception


Mar 04, 2021
Heng Yang, Wei Dong, Luca Carlone, Vladlen Koltun

* CVPR 2021, Oral presentation. 8 pages main results, 19 pages in total, including references and supplementary 

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Simple multi-dataset detection


Feb 25, 2021
Xingyi Zhou, Vladlen Koltun, Philipp KrĂ€henbĂŒhl

* code is available at https://github.com/xingyizhou/UniDet 

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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 MĂŒller, 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, RenĂ© Ranftl, Matthias MĂŒller, 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 KrĂ€henbĂŒhl

* 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 KrĂ€henbĂŒhl

* 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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