| Detecting the unexpected via image resynthesis K Lis, K Nakka, P Fua, M Salzmann Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 148 | 2019 |
| Segmentmeifyoucan: A benchmark for anomaly segmentation R Chan, K Lis, S Uhlemeyer, H Blum, S Honari, R Siegwart, P Fua, ... arXiv preprint arXiv:2104.14812, 2021 | 96 | 2021 |
| Geometric and physical constraints for drone-based head plane crowd density estimation W Liu, K Lis, M Salzmann, P Fua 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019 | 47 | 2019 |
| Detecting road obstacles by erasing them K Lis, S Honari, P Fua, M Salzmann IEEE transactions on pattern analysis and machine intelligence, 2023 | 29 | 2023 |
| Comparing python, go, and c++ on the n-queens problem P Fua, K Lis arXiv preprint arXiv:2001.02491, 2020 | 13 | 2020 |
| Geometric and physical constraints for head plane crowd density estimation in videos W Liu, K Lis, M Salzmann, P Fua arXiv preprint arXiv:1803.08805, 2018 | 12 | 2018 |
| Sina Honari, Pascal Fua, and Mathieu Salzmann K Lis Detecting Road Obstacles by Erasing Them 105, 2020 | 6 | 2020 |
| Perspective Aware Road Obstacle Detection K Lis, S Honari, P Fua, M Salzmann IEEE Robotics and Automation Letters 8 (4), 2150-2157, 2023 | 4 | 2023 |
| Quadrotor pilot training using augmented reality K Lis | 1 | 2016 |
| Detecting Anomalies and Obstacles in Road Scenes KM Lis EPFL, 2023 | | 2023 |
| AttEntropy: Segmenting Unknown Objects in Complex Scenes using the Spatial Attention Entropy of Semantic Segmentation Transformers K Lis, M Rottmann, S Honari, P Fua, M Salzmann arXiv preprint arXiv:2212.14397, 2022 | | 2022 |
| Kinect 3D Editor K Lis | | 2016 |
| Compressive sensing methods in nuclear magnetic resonance K Lis Faculty of Physics, University of Warsaw, 2015 | | 2015 |
| Road Extraction from Aerial Images K Lis, I Roesch | | |
| Detecting the Unexpected via Image Resynthesis Supplementary Material K Lis, K Nakka, P Fua, M Salzmann Image 1024, 512, 0 | | |
| Design and evaluation of viewpoint invariant feature descriptors using convolutional neural networks K Lis, M Havlena, A Locher | | |
Pascal FuaProfessor Computer Science, EPFLVerified email at epfl.ch
