Vaishakh Patil

23 papers A* 3A 2Misc 2Journal 14Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	DiskChunGS: Large-Scale 3D Gaussian SLAM Through Chunk-Based Memory Management. IEEE Robotics Autom. Lett. Casimir Feldmann, Maximum Wilder-Smith, Vaishakh Patil, Michael Oechsle, Michael Niemeyer, Keisuke Tateno, Marco Hutter
2026	J	`jnl`	MOSAIC-GS: Monocular Scene Reconstruction via Advanced Initialization for Complex Dynamic Environments. CoRR Svitlana Morkva, Maximum Wilder-Smith, Michael Oechsle, Alessio Tonioni, Marco Hutter, Vaishakh Patil
2025	J	`jnl`	DiskChunGS: Large-Scale 3D Gaussian SLAM Through Chunk-Based Memory Management. CoRR Casimir Feldmann, Maximum Wilder-Smith, Vaishakh Patil, Michael Oechsle, Michael Niemeyer, Keisuke Tateno, Marco Hutter
2025	A	`conf`	FOCI: Trajectory Optimization on Gaussian Splats. IROS Mario Gomez Andreu, Maximum Wilder-Smith, Victor Klemm, Vaishakh Patil, Jesus Tordesillas, Marco Hutter
2025	J	`jnl`	FOCI: Trajectory Optimization on Gaussian Splats. CoRR Mario Gomez Andreu, Maximum Wilder-Smith, Victor Klemm, Vaishakh Patil, Jesus Tordesillas, Marco Hutter
2024	A*	`conf`	ICGNet: A Unified Approach for Instance-Centric Grasping. ICRA René Zurbrügg, Yifan Liu, Francis Engelmann, Suryansh Kumar, Marco Hutter, Vaishakh Patil, Fisher Yu
2024	J	`jnl`	ICGNet: A Unified Approach for Instance-Centric Grasping. CoRR René Zurbrügg, Yifan Liu, Francis Engelmann, Suryansh Kumar, Marco Hutter, Vaishakh Patil, Fisher Yu
2024	A	`conf`	Radiance Fields for Robotic Teleoperation. IROS Maximum Wilder-Smith, Vaishakh Patil, Marco Hutter
2024	J	`jnl`	Radiance Fields for Robotic Teleoperation. CoRR Maximum Wilder-Smith, Vaishakh Patil, Marco Hutter
2024	A*	`conf`	TULIP: Transformer for Upsampling of LiDAR Point Clouds. CVPR Bin Yang, Patrick Pfreundschuh, Roland Siegwart, Marco Hutter, Peyman Moghadam, Vaishakh Patil
2024	Misc	`conf`	Tag Map: A Text-Based Map for Spatial Reasoning and Navigation with Large Language Models. CoRL Mike Zhang, Kaixian Qu, Vaishakh Patil, Cesar Cadena, Marco Hutter
2024	J	`jnl`	Tag Map: A Text-Based Map for Spatial Reasoning and Navigation with Large Language Models. CoRR Mike Zhang, Kaixian Qu, Vaishakh Patil, César Cadena, Marco Hutter
2023	J	`jnl`	Lidar Line Selection with Spatially-Aware Shapley Value for Cost-Efficient Depth Completion. CoRR Kamil Adamczewski, Christos Sakaridis, Vaishakh Patil, Luc Van Gool
2023	J	`jnl`	TULIP: Transformer for Upsampling of LiDAR Point Cloud. CoRR Bin Yang, Patrick Pfreundschuh, Roland Siegwart, Marco Hutter, Peyman Moghadam, Vaishakh Patil
2022	J	`jnl`	Improving Depth Estimation Using Map-Based Depth Priors. IEEE Robotics Autom. Lett. Vaishakh Patil, Alexander Liniger, Dengxin Dai, Luc Van Gool
2022	—	`—`	Improving depth learning with scene priors. Vaishakh Patil
2022	Misc	`conf`	Lidar Line Selection with Spatially-Aware Shapley Value for Cost-Efficient Depth Completion. CoRL Kamil Adamczewski, Christos Sakaridis, Vaishakh Patil, Luc Van Gool
2022	A*	`conf`	P3Depth: Monocular Depth Estimation with a Piecewise Planarity Prior. CVPR Vaishakh Patil, Christos Sakaridis, Alexander Liniger, Luc Van Gool
2022	J	`jnl`	P3Depth: Monocular Depth Estimation with a Piecewise Planarity Prior. CoRR Vaishakh Patil, Christos Sakaridis, Alexander Liniger, Luc Van Gool
2020	J	`jnl`	Don't Forget The Past: Recurrent Depth Estimation from Monocular Video. CoRR Vaishakh Patil, Wouter Van Gansbeke, Dengxin Dai, Luc Van Gool
2020	J	`jnl`	Don't Forget The Past: Recurrent Depth Estimation from Monocular Video. IEEE Robotics Autom. Lett. Vaishakh Patil, Wouter Van Gansbeke, Dengxin Dai, Luc Van Gool
2020	—	`conf`	Self-supervised Object Motion and Depth Estimation from Video. CVPR Workshops Qi Dai, Vaishakh Patil, Simon Hecker, Dengxin Dai, Luc Van Gool, Konrad Schindler
2019	J	`jnl`	Self-supervised Object Motion and Depth Estimation from Video. CoRR Qi Dai, Vaishakh Patil, Simon Hecker, Dengxin Dai, Luc Van Gool, Konrad Schindler