Koltun, Vladlen

Multi-scale context aggregation by dilated convolutions

Yu, F., & Koltun, V. (2015) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 7,738

An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling

Bai, S., Kolter, J. Z., & Koltun, V. (2018) · arXiv

Speech Recognition and SynthesisTopic Modeling

Cited by 4,655

CARLA: An open urban driving simulator

Dosovitskiy, A., Ros, G., Codevilla, F., Lopez, A., & Koltun, V. (2017) · arXiv

Autonomous Vehicle Technology and SafetyReinforcement Learning in Robotics

Cited by 3,718

Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials

Krähenbühl, P., & Koltun, V. (2012) · arXiv

Advanced Neural Network ApplicationsMedical Image Segmentation Techniques

Cited by 2,908

Vision Transformers for Dense Prediction

Ranftl, R., Bochkovskiy, A., & Koltun, V. (2021) · 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 2,373

Learning agile and dynamic motor skills for legged robots

Hwangbo, J., Lee, J., Dosovitskiy, A., Bellicoso, D., Tsounis, V., Koltun, V., & Hutter, M. (2019) · Science Robotics

Robotic Locomotion and ControlReinforcement Learning in Robotics

Cited by 1,482

Tracking Objects as Points

Zhou, X., Koltun, V., & Krähenbühl, P. (2020) · Lecture Notes in Computer Science

Video Surveillance and Tracking MethodsAutonomous Vehicle Technology and Safety

Cited by 1,428

Habitat: A Platform for Embodied AI Research

Savva, M., Kadian, A., Maksymets, O., Zhao, Y., Wijmans, E., Jain, B., Straub, J., Liu, J., Koltun, V., Malik, J., et al. (2019) · 2019 IEEE/CVF International Conference on Computer Vision (ICCV)

Reinforcement Learning in RoboticsRobotics and Sensor-Based Localization

Cited by 1,237

Learning quadrupedal locomotion over challenging terrain

Lee, J., Hwangbo, J., Wellhausen, L., Koltun, V., & Hutter, M. (2020) · Science Robotics

Robotic Locomotion and ControlReinforcement Learning in Robotics

Cited by 1,156

Exploring Self-Attention for Image Recognition

Zhao, H., Jia, J., & Koltun, V. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsVisual Attention and Saliency Detection

Cited by 1,002

Photographic Image Synthesis with Cascaded Refinement Networks

Chen, Q., & Koltun, V. (2017) · 2017 IEEE International Conference on Computer Vision (ICCV)

Generative Adversarial Networks and Image SynthesisComputer Graphics and Visualization Techniques

Cited by 887

Multi-Task Learning as Multi-Objective Optimization

Sener, O., & Koltun, V. (2018) · arXiv

Advanced Multi-Objective Optimization AlgorithmsAdvanced Neural Network Applications

Cited by 852

On evaluation of embodied navigation agents

Anderson, P., Chang, A., Chaplot, D. S., Dosovitskiy, A., Gupta, S., Koltun, V., Kosecka, J., Malik, J., Mottaghi, R., Savva, M., et al. (2018) · arXiv

Reinforcement Learning in RoboticsRobotic Path Planning Algorithms

Cited by 622

Deep Equilibrium Models

Bai, S., Kolter, J. Z., & Koltun, V. (2019) · arXiv

Topic ModelingNeural Networks and Applications

Cited by 338

Language-driven Semantic Segmentation

Li, B., Weinberger, K. Q., Belongie, S., Koltun, V., & Ranftl, R. (2022) · arXiv

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 316

Habitat 2.0: Training home assistants to rearrange their habitat

Szot, A., Clegg, A., Undersander, E., Wijmans, E., Zhao, Y., Turner, J., Maestre, N., Mukadam, M., Chaplot, D., Maksymets, O., et al. (2021) · arXiv

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 143

End-to-End Driving Via Conditional Imitation Learning

Codevilla, F., Muller, M., Lopez, A., Koltun, V., & Dosovitskiy, A. (2018) · 2018 IEEE International Conference on Robotics and Automation (ICRA)

Autonomous Vehicle Technology and SafetyReinforcement Learning in Robotics

Cited by 129

Assessing Generalization in Deep Reinforcement Learning

Packer, C., Gao, K., Kos, J., Krähenbühl, P., Koltun, V., & Song, D. (2018) · arXiv

Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning

Cited by 114

Rearrangement: A Challenge for Embodied AI

Batra, D., Chang, A. X., Chernova, S., Davison, A. J., Deng, J., Koltun, V., Levine, S., Malik, J., Mordatch, I., Mottaghi, R., et al. (2020) · arXiv

Robot Manipulation and LearningReinforcement Learning in Robotics

Cited by 109

On Offline Evaluation of Vision-Based Driving Models

Codevilla, F., López, A. M., Koltun, V., & Dosovitskiy, A. (2018) · Lecture Notes in Computer Science

Autonomous Vehicle Technology and SafetyAdvanced Neural Network Applications

Cited by 103

High Speed and High Dynamic Range Video with an Event Camera

Rebecq, H., Ranftl, R., Koltun, V., & Scaramuzza, D. (2021) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Advanced Vision and ImagingAdvanced Image Processing Techniques

Cited by 50

Does Spatial Cognition Emerge in Frontier Models?

Ramakrishnan, S. K., Wijmans, E., Kraehenbuehl, P., & Koltun, V. (2024) · arXiv

Spatial Cognition and NavigationMultimodal Machine Learning Applications

Cited by 49