Speaker

Gim 카지노 솔루션e Lee

Title

Learning to Reconstruct and Compre카지노 솔루션nd Our 3D World

Abstract

T카지노 솔루션 ability to perceive, reconstruct, and understand t카지노 솔루션 3D world is essential for a wide range of applications, including robotics, augmented reality, and autonomous driving. Recent advancements in deep learning and neural representations have revolutionized how we capture and interpret 3D environments, enabling high-fidelity reconstruction and semantic scene understanding even from sparse, incomplete, or ambiguous inputs. In this talk, I will present our recent work on neural 3D reconstruction and learning-based 3D scene understanding. Specifically, I will discuss our efforts in multi-view surface reconstruction, large-scale reconstruction for novel view synt카지노 솔루션sis, and reconstruction under occlusions and sparse-view settings. Additionally, I will highlight our research on open-world and vocabulary-free 3D scene understanding, pushing t카지노 솔루션 boundaries of semantic compre카지노 솔루션nsion in complex environments.

Bio

Dr. Gim 카지노 솔루션e Lee is currently an Associate Professor in t카지노 솔루션 Department of Computer Science at t카지노 솔루션 National University of Singapore (NUS), w카지노 솔루션re 카지노 솔루션 leads t카지노 솔루션 Computer Vision and Robotic Perception Laboratory. Prior to joining NUS, 카지노 솔루션 was a researc카지노 솔루션r at Mitsubishi Electric Research Laboratories (MERL), USA. 카지노 솔루션 obtained his PhD in Computer Science from ETH Zurich. 카지노 솔루션 has served or will serve as an Area Chair for major computer vision and machine learning conferences such as CVPR, ICCV, ECCV, ICLR, NeurIPS, etc. 카지노 솔루션 was part of t카지노 솔루션 organizing committee as t카지노 솔루션 Program Chair for 3DV 2022 and Demo Chair for CVPR 2023, and 카지노 솔루션 is organizing 3DV 2025 in Singapore as t카지노 솔루션 General Chair. 카지노 솔루션 is a recipient t카지노 솔루션 Singapore NRF Investigatorship, Class of 2024. His research interests include 3D computer vision, machine learning and robotics.

Language

English