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2020 – today
- 2024
[c7]Mike Zhang, Kaixian Qu, Vaishakh Patil, Cesar Cadena, Marco Hutter:
Tag Map: A Text-Based Map for Spatial Reasoning and Navigation with Large Language Models. CoRL 2024: 2120-2146- [c6]Bin Yang, Patrick Pfreundschuh, Roland Siegwart, Marco Hutter, Peyman Moghadam, Vaishakh Patil:
TULIP: Transformer for Upsampling of LiDAR Point Clouds. CVPR 2024: 15354-15364 - [c5]René Zurbrügg, Yifan Liu, Francis Engelmann
, Suryansh Kumar, Marco Hutter, Vaishakh Patil, Fisher Yu:
ICGNet: A Unified Approach for Instance-Centric Grasping. ICRA 2024: 4140-4146 - [c4]Maximum Wilder-Smith, Vaishakh Patil, Marco Hutter:
Radiance Fields for Robotic Teleoperation. IROS 2024: 13861-13868 - [i8]René Zurbrügg, Yifan Liu, Francis Engelmann, Suryansh Kumar, Marco Hutter, Vaishakh Patil, Fisher Yu:
ICGNet: A Unified Approach for Instance-Centric Grasping. CoRR abs/2401.09939 (2024) - [i7]Maximum Wilder-Smith, Vaishakh Patil, Marco Hutter:
Radiance Fields for Robotic Teleoperation. CoRR abs/2407.20194 (2024) - [i6]Mike Zhang, Kaixian Qu, Vaishakh Patil, César Cadena, Marco Hutter:
Tag Map: A Text-Based Map for Spatial Reasoning and Navigation with Large Language Models. CoRR abs/2409.15451 (2024) - 2023
- [i5]Kamil Adamczewski, Christos Sakaridis, Vaishakh Patil, Luc Van Gool:
Lidar Line Selection with Spatially-Aware Shapley Value for Cost-Efficient Depth Completion. CoRR abs/2303.11720 (2023) - [i4]Bin Yang, Patrick Pfreundschuh, Roland Siegwart, Marco Hutter, Peyman Moghadam, Vaishakh Patil:
TULIP: Transformer for Upsampling of LiDAR Point Cloud. CoRR abs/2312.06733 (2023) - 2022
- [b1]Vaishakh Patil:
Improving depth learning with scene priors. ETH Zurich, Zürich, Switzerland, 2022 - [j2]Vaishakh Patil, Alexander Liniger, Dengxin Dai, Luc Van Gool:
Improving Depth Estimation Using Map-Based Depth Priors. IEEE Robotics Autom. Lett. 7(2): 3640-3647 (2022) - [c3]Kamil Adamczewski, Christos Sakaridis, Vaishakh Patil, Luc Van Gool:
Lidar Line Selection with Spatially-Aware Shapley Value for Cost-Efficient Depth Completion. CoRL 2022: 561-570 - [c2]Vaishakh Patil, Christos Sakaridis, Alexander Liniger, Luc Van Gool:
P3Depth: Monocular Depth Estimation with a Piecewise Planarity Prior. CVPR 2022: 1600-1611 - [i3]Vaishakh Patil, Christos Sakaridis, Alexander Liniger, Luc Van Gool:
P3Depth: Monocular Depth Estimation with a Piecewise Planarity Prior. CoRR abs/2204.02091 (2022) - 2020
- [j1]Vaishakh Patil, Wouter Van Gansbeke, Dengxin Dai, Luc Van Gool:
Don't Forget The Past: Recurrent Depth Estimation from Monocular Video. IEEE Robotics Autom. Lett. 5(4): 6813-6820 (2020) - [c1]Qi Dai, Vaishakh Patil, Simon Hecker, Dengxin Dai, Luc Van Gool, Konrad Schindler:
Self-supervised Object Motion and Depth Estimation from Video. CVPR Workshops 2020: 4326-4334 - [i2]Vaishakh Patil, Wouter Van Gansbeke, Dengxin Dai, Luc Van Gool:
Don't Forget The Past: Recurrent Depth Estimation from Monocular Video. CoRR abs/2001.02613 (2020)
2010 – 2019
- 2019
- [i1]Qi Dai, Vaishakh Patil, Simon Hecker, Dengxin Dai, Luc Van Gool, Konrad Schindler:
Self-supervised Object Motion and Depth Estimation from Video. CoRR abs/1912.04250 (2019)
Coauthor Index
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