Vaishakh Patil

5 papers · 2022–2026 · 2 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (15)

Venues

CVPR (3) CoRL (2)

Top co-authors

Marco Hutter (3) Christos Sakaridis (2) Luc Van Gool (2) Roland Siegwart (1) Peyman Moghadam (1) Kamil Adamczewski (1) Michael Oechsle (1) Alexander Liniger (1) Kaixian Qu (1) Mike Zhang (1)

Research topics

Computer Vision (3) Analysis (3) Artificial Intelligence (2) Deep Learning (2) Machine Learning (2) Architectures (2) Core AI (2) Optimization & Theory (2) Domain-Specific (1) Generation (1) Learning Types (1) Processing (1)

Keywords

3d reconstruction (2) scene understanding (1) point cloud (1) depth estimation (1) monocular depth estimation (1) gaussian splatting (1) optical flow (1) autonomous vehicle (1) monocular video (1) memory usage (1) lidar point cloud (1) dynamic scene reconstruction (1) scene context (1) shapley value (1) marginal contribution (1) depth completion (1) non-rigid deformation (1) depth prediction (1) point cloud upsampling (1) range image (1)

Papers

MOSAIC-GS: Monocular Scene Reconstruction via Advanced Initialization for Complex Dynamic Environments CVPR 2026 Tag Map: A Text-Based Map for Spatial Reasoning and Navigation with Large Language Models CoRL 2024 TULIP: Transformer for Upsampling of LiDAR Point Clouds CVPR 2024 Lidar Line Selection with Spatially-Aware Shapley Value for Cost-Efficient Depth Completion CoRL 2022 P3Depth: Monocular Depth Estimation With a Piecewise Planarity Prior CVPR 2022