Theo dõi
Vaishakh Patil
Vaishakh Patil
ETH Zurich
Email được xác minh tại ethz.ch
Tiêu đề
Trích dẫn bởi
Trích dẫn bởi
Năm
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
1532020
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
1472022
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
562020
ICGNet: a unified approach for instance-centric grasping
R Zurbrügg, Y Liu, F Engelmann, S Kumar, M Hutter, V Patil, F Yu
2024 IEEE International Conference on Robotics and Automation (ICRA), 4140-4146, 2024
92024
Radiance Fields for Robotic Teleoperation
V Patil, M Hutter
2024 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2024
42024
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
42024
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 12,026,899, 2024
22024
Tag Map: A Text-Based Map for Spatial Reasoning and Navigation with Large Language Models
M Zhang, K Qu, V Patil, C Cadena, M Hutter
arXiv preprint arXiv:2409.15451, 2024
12024
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
12023
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
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
Hệ thống không thể thực hiện thao tác ngay bây giờ. Hãy thử lại sau.
Bài viết 1–16