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Vaishakh Patil
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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
1142020
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
762022
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
462020
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
52020
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
32022
Depth maps prediction system and training method for such a system
N Vignard, DAI Dengxin, V Patil, L Van Gool
US Patent App. 17/597,752, 2022
22022
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
2024
TULIP: Transformer for Upsampling of LiDAR Point Cloud
B Yang, P Pfreundschuh, R Siegwart, M Hutter, P Moghadam, V Patil
arXiv preprint arXiv:2312.06733, 2023
2023
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
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
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
P3Depth: Monocular Depth Estimation with a Piecewise Planarity Prior (Supplementary Material)
V Patil, C Sakaridis, A Liniger, L Van Gool
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