Don’t forget the past: Recurrent depth estimation from monocular video V Patil, W Van Gansbeke, D Dai, L Van Gool IEEE Robotics and Automation Letters 5 (4), 6813-6820, 2020 | 123 | 2020 |
P3depth: Monocular depth estimation with a piecewise planarity prior V Patil, C Sakaridis, A Liniger, L Van Gool Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 104 | 2022 |
Self-supervised object motion and depth estimation from video Q Dai, V Patil, S Hecker, D Dai, L Van Gool, K Schindler Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 50 | 2020 |
ICGNet: A Unified Approach for Instance-Centric Grasping R Zurbrügg, Y Liu, F Engelmann, S Kumar, M Hutter, V Patil, F Yu arXiv preprint arXiv:2401.09939, 2024 | 6 | 2024 |
Don’t forget the past: Recurrent depth estimation from monocular video P Vaishakh, W Van Gansbeke, D Dai, L Van Gool IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020 | 6 | 2020 |
Improving depth estimation using map-based depth priors V Patil, A Liniger, D Dai, L Van Gool IEEE Robotics and Automation Letters 7 (2), 3640-3647, 2022 | 3 | 2022 |
Depth maps prediction system and training method for such a system N Vignard, DAI Dengxin, V Patil, L Van Gool US Patent 12,026,899, 2024 | 2 | 2024 |
Lidar Line Selection with Spatially-Aware Shapley Value for Cost-Efficient Depth Completion K Adamczewski, C Sakaridis, V Patil, L Van Gool Conference on Robot Learning, 561-570, 2023 | 1 | 2023 |
Radiance Fields for Robotic Teleoperation V Patil, M Hutter arXiv preprint arXiv:2407.20194, 2024 | | 2024 |
TULIP: Transformer for Upsampling of LiDAR Point Clouds B Yang, P Pfreundschuh, R Siegwart, M Hutter, P Moghadam, V Patil Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | | 2024 |
A method for determining the 6d pose of a camera used to acquire an image of a scene using a point cloud of the scene and features W Abbeloos, D Emtsev, DP Paudel, V Patil, O Anton, L Van Gool | | 2023 |
Systems and methods for monocular depth estimation W Abbeloos, V Patil, C Sakaridis, A Liniger, L Van Gool EP Patent 4239579A1, 2023 | | 2023 |
Improving depth learning with scene priors V Patil ETH Zurich, 2022 | | 2022 |
Depth maps prediction system and training method for such a system WO Patent WO2021013334A1, 2021 | | 2021 |
Radiance Fields for Robotic Teleoperation V Patil, M Hutter | | |
TULIP: Transformer for Upsampling of LiDAR Point Clouds (Supplementary Material) B Yang, P Pfreundschuh, R Siegwart, M Hutter, P Moghadam, V Patil | | |
P3Depth: Monocular Depth Estimation with a Piecewise Planarity Prior (Supplementary Material) V Patil, C Sakaridis, A Liniger, L Van Gool | | |