Vaishakh Patil

According to our database, Vaishakh Patil authored at least 15 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

DiskChunGS: Large-Scale 3D Gaussian SLAM Through Chunk-Based Memory Management.

Casimir Feldmann, Maximum Wilder-Smith, Vaishakh Patil, Michael Oechsle, Michael Niemeyer, Keisuke Tateno, Marco Hutter

IEEE Robotics Autom. Lett., April, 2026

ViserDex: Visual Sim-to-Real for Robust Dexterous In-hand Reorientation.

Arjun Bhardwaj, Maximum Wilder-Smith, Mayank Mittal, Vaishakh Patil, Marco Hutter

CoRR, April, 2026

MOSAIC-GS: Monocular Scene Reconstruction via Advanced Initialization for Complex Dynamic Environments.

Svitlana Morkva, Maximum Wilder-Smith, Michael Oechsle, Alessio Tonioni, Marco Hutter, Vaishakh Patil

CoRR, January, 2026

2025

FOCI: Trajectory Optimization on Gaussian Splats.

Mario Gomez Andreu, Maximum Wilder-Smith, Victor Klemm, Vaishakh Patil, Jesus Tordesillas, Marco Hutter

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025

2024

Radiance Fields for Robotic Teleoperation.

Maximum Wilder-Smith, Vaishakh Patil, Marco Hutter

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

ICGNet: A Unified Approach for Instance-Centric Grasping.

René Zurbrügg, Yifan Liu, Francis Engelmann, Suryansh Kumar, Marco Hutter, Vaishakh Patil, Fisher Yu

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

TULIP: Transformer for Upsampling of LiDAR Point Clouds.

Bin Yang, Patrick Pfreundschuh, Roland Siegwart, Marco Hutter, Peyman Moghadam, Vaishakh Patil

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Tag Map: A Text-Based Map for Spatial Reasoning and Navigation with Large Language Models.

Mike Zhang, Kaixian Qu, Vaishakh Patil, Cesar Cadena, Marco Hutter

Proceedings of the Conference on Robot Learning, 6-9 November 2024, Munich, Germany., 2024

2023

TULIP: Transformer for Upsampling of LiDAR Point Cloud.

Bin Yang, Patrick Pfreundschuh, Roland Siegwart, Marco Hutter, Peyman Moghadam, Vaishakh Patil

CoRR, 2023

2022

Improving depth learning with scene priors.

Vaishakh Patil

PhD thesis, 2022

Improving Depth Estimation Using Map-Based Depth Priors.

Vaishakh Patil, Alexander Liniger, Dengxin Dai, Luc Van Gool

IEEE Robotics Autom. Lett., 2022

P3Depth: Monocular Depth Estimation with a Piecewise Planarity Prior.

Vaishakh Patil, Christos Sakaridis, Alexander Liniger, Luc Van Gool

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Lidar Line Selection with Spatially-Aware Shapley Value for Cost-Efficient Depth Completion.

Kamil Adamczewski, Christos Sakaridis, Vaishakh Patil, Luc Van Gool

Proceedings of the Conference on Robot Learning, 2022

2020

Don't Forget The Past: Recurrent Depth Estimation from Monocular Video.

Vaishakh Patil, Wouter Van Gansbeke, Dengxin Dai, Luc Van Gool

IEEE Robotics Autom. Lett., 2020

Self-supervised Object Motion and Depth Estimation from Video.

Qi Dai, Vaishakh Patil, Simon Hecker, Dengxin Dai, Luc Van Gool, Konrad Schindler

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020