A Real-Time Online Learning Framework for Joint 3D Reconstruction and
Semantic Segmentation of Indoor Scenes

A Real-Time Online Learning Framework for Joint 3D Reconstruction and Semantic Segmentation of Indoor Scenes

11 August 2021

Martin R. Oswald

Erik Sandström

C. Sminchisescu

Luc Van Gool

Papers citing "A Real-Time Online Learning Framework for Joint 3D Reconstruction and Semantic Segmentation of Indoor Scenes"

9 / 9 papers shown

Title
Next-Future: Sample-Efficient Policy Learning for Robotic-Arm Tasks Fikrican Özgür René Zurbrugg Suryansh Kumar 32 0 0 15 Apr 2025
Mobile Robotic Multi-View Photometric Stereo Suryansh Kumar 35 0 0 15 Feb 2025
GNeSF: Generalizable Neural Semantic Fields Hanlin Chen Chen Li Mengqi Guo Zhiwen Yan Gim Hee Lee 42 12 0 24 Oct 2023
Neural Implicit Dense Semantic SLAM Yasaman Haghighi Suryansh Kumar Jean-Philippe Thiran Luc Van Gool 36 22 0 27 Apr 2023
Cross-Dimensional Refined Learning for Real-Time 3D Visual Perception from Monocular Video Ziyang Hong C. Yue 3DPC 27 3 0 16 Mar 2023
Uncertainty-Driven Dense Two-View Structure from Motion Weirong Chen Suryansh Kumar F. I. F. Richard Yu 17 7 0 01 Feb 2023
Semantic-SuPer: A Semantic-aware Surgical Perception Framework for Endoscopic Tissue Identification, Reconstruction, and Tracking Shan Lin Albert J. Miao Jingpei Lu Shunkai Yu Zih-Yun Chiu Florian Richter Michael C. Yip 40 23 0 29 Oct 2022
Neural Architecture Search for Efficient Uncalibrated Deep Photometric Stereo Francesco Sarno Suryansh Kumar Berk Kaya Zhiwu Huang V. Ferrari Luc Van Gool 32 8 0 11 Oct 2021
Neural Radiance Fields Approach to Deep Multi-View Photometric Stereo Berk Kaya Suryansh Kumar Francesco Sarno V. Ferrari Luc Van Gool 3DV 24 33 0 11 Oct 2021