Self-supervised Object Motion and Depth Estimation from Video. - Qi Dai; Vaishakh Patil; Simon Hecker; Dengxin Dai; Luc Van Gool; Konrad Schindler (CVPR Workshops, 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)

Lidar Line Selection with Spatially-Aware Shapley Value for Cost-Efficient Depth Completion. - Kamil Adamczewski; Christos Sakaridis; Vaishakh Patil; Luc Van Gool (CoRL, 2022)

P3Depth: Monocular Depth Estimation with a Piecewise Planarity Prior. - Vaishakh Patil; Christos Sakaridis; Alexander Liniger; Luc Van Gool (CVPR, 2022)

Improving Depth Estimation Using Map-Based Depth Priors. - Vaishakh Patil; Alexander Liniger; Dengxin Dai; Luc Van Gool (IEEE Robotics Autom. Lett., 2022)

Improving depth learning with scene priors. - Vaishakh Patil (2022)

TULIP: Transformer for Upsampling of LiDAR Point Cloud. - Bin Yang; Patrick Pfreundschuh; Roland Siegwart; Marco Hutter 001; Peyman Moghadam; Vaishakh Patil (CoRR, 2023)

Tag Map: A Text-Based Map for Spatial Reasoning and Navigation with Large Language Models. - Mike Zhang; Kaixian Qu; Vaishakh Patil; Cesar Cadena 001; Marco Hutter 001 (CoRL, 2024)

TULIP: Transformer for Upsampling of LiDAR Point Clouds. - Bin Yang; Patrick Pfreundschuh; Roland Siegwart; Marco Hutter 001; Peyman Moghadam; Vaishakh Patil (CVPR, 2024)

ICGNet: A Unified Approach for Instance-Centric Grasping. - René Zurbrügg; Yifan Liu 001; Francis Engelmann; Suryansh Kumar 001; Marco Hutter 001; Vaishakh Patil; Fisher Yu 001 (ICRA, 2024)

Radiance Fields for Robotic Teleoperation. - Maximum Wilder-Smith; Vaishakh Patil; Marco Hutter 001 (IROS, 2024)

FOCI: Trajectory Optimization on Gaussian Splats. - Mario Gomez Andreu; Maximum Wilder-Smith; Victor Klemm; Vaishakh Patil; Jesus Tordesillas; Marco Hutter 001 (CoRR, 2025)