Media Summary: This is a presentation video of our recent research on Authors: Chen, Xingyu; Zhang, Ruonan; Jiang, Ji; Wang, Yan; Li, Ge; Li, Thomas H* Description: Authors: Vitor Guizilini, Rareș Ambruș, Sudeep Pillai, Allan Raventos, Adrien Gaidon Description: Although cameras are ...

Convdepth Self Supervised Monocular Depth - Detailed Analysis & Overview

This is a presentation video of our recent research on Authors: Chen, Xingyu; Zhang, Ruonan; Jiang, Ji; Wang, Yan; Li, Ge; Li, Thomas H* Description: Authors: Vitor Guizilini, Rareș Ambruș, Sudeep Pillai, Allan Raventos, Adrien Gaidon Description: Although cameras are ... Authors: Petrovai, Andra*; Nedevschi, Sergiu Description: Authors: Chen, Xingyu; Li, Thomas H; Zhang, Ruonan; Li, Ge* Description: We present two versatile methods to generally ... MaLGa Seminar Series - Machine Learning and Vision. Speaker: Junhwa Hur Affiliation: TU-Darmstadt Title:

Authors: Junhwa Hur, Stefan Roth Description: Scene flow estimation has been receiving increasing attention for 3D environment ... Authors: Feitong Tan, Hao Zhu, Zhaopeng Cui, Siyu Zhu, Marc Pollefeys, Ping Tan Description: Previous methods on estimating ... Authors: Shin, Ukcheol*; Park, Kwanyong; Lee, Byeong-Uk; Lee, Kyunghyun; Kweon, In So Description: Recently, thermal image ... [CVPR2024 ]Mining Supervision for Dynamic Regions in Self-Supervised Monocular Depth Estimation

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ConvDepth: Self Supervised Monocular Depth Estimation for Autonomous Driving
Self-Supervised Monocular Depth Estimation: Solving the Edge-Fattening Problem
[CVPR 2021] The Temporal Opportunist: Self-Supervised Multi-Frame Monocular Depth
3D Packing for Self-Supervised Monocular Depth Estimation
Self-supervised Monocular Depth Estimation: Let's Talk About The Weather
MonoDVPS: A Self-Supervised Monocular Depth Estimation Approach to Depth-aware Video Panoptic Segme
Frequency-Aware Self-Supervised Monocular Depth Estimation
Junhwa Hur (TU-Darmstadt) - Self-supervised learning of depth and motion from monocular images
Self-Supervised Monocular Scene Flow Estimation
Self-supervised Monocular Underwater Depth Recovery, Image Restoration, and a Real-sea Video Datase
Self-Supervised Human Depth Estimation From Monocular Videos
Self-supervised Monocular Depth Estimation from Thermal Images via Adversarial Multi-spectral Adapt
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ConvDepth: Self Supervised Monocular Depth Estimation for Autonomous Driving

ConvDepth: Self Supervised Monocular Depth Estimation for Autonomous Driving

This is a presentation video of our recent research on

Self-Supervised Monocular Depth Estimation: Solving the Edge-Fattening Problem

Self-Supervised Monocular Depth Estimation: Solving the Edge-Fattening Problem

Authors: Chen, Xingyu; Zhang, Ruonan; Jiang, Ji; Wang, Yan; Li, Ge; Li, Thomas H* Description:

[CVPR 2021] The Temporal Opportunist: Self-Supervised Multi-Frame Monocular Depth

[CVPR 2021] The Temporal Opportunist: Self-Supervised Multi-Frame Monocular Depth

The Temporal Opportunist:

3D Packing for Self-Supervised Monocular Depth Estimation

3D Packing for Self-Supervised Monocular Depth Estimation

Authors: Vitor Guizilini, Rareș Ambruș, Sudeep Pillai, Allan Raventos, Adrien Gaidon Description: Although cameras are ...

Self-supervised Monocular Depth Estimation: Let's Talk About The Weather

Self-supervised Monocular Depth Estimation: Let's Talk About The Weather

Self

MonoDVPS: A Self-Supervised Monocular Depth Estimation Approach to Depth-aware Video Panoptic Segme

MonoDVPS: A Self-Supervised Monocular Depth Estimation Approach to Depth-aware Video Panoptic Segme

Authors: Petrovai, Andra*; Nedevschi, Sergiu Description:

Frequency-Aware Self-Supervised Monocular Depth Estimation

Frequency-Aware Self-Supervised Monocular Depth Estimation

Authors: Chen, Xingyu; Li, Thomas H; Zhang, Ruonan; Li, Ge* Description: We present two versatile methods to generally ...

Junhwa Hur (TU-Darmstadt) - Self-supervised learning of depth and motion from monocular images

Junhwa Hur (TU-Darmstadt) - Self-supervised learning of depth and motion from monocular images

MaLGa Seminar Series - Machine Learning and Vision. Speaker: Junhwa Hur Affiliation: TU-Darmstadt Title:

Self-Supervised Monocular Scene Flow Estimation

Self-Supervised Monocular Scene Flow Estimation

Authors: Junhwa Hur, Stefan Roth Description: Scene flow estimation has been receiving increasing attention for 3D environment ...

Self-supervised Monocular Underwater Depth Recovery, Image Restoration, and a Real-sea Video Datase

Self-supervised Monocular Underwater Depth Recovery, Image Restoration, and a Real-sea Video Datase

Self

Self-Supervised Human Depth Estimation From Monocular Videos

Self-Supervised Human Depth Estimation From Monocular Videos

Authors: Feitong Tan, Hao Zhu, Zhaopeng Cui, Siyu Zhu, Marc Pollefeys, Ping Tan Description: Previous methods on estimating ...

Self-supervised Monocular Depth Estimation from Thermal Images via Adversarial Multi-spectral Adapt

Self-supervised Monocular Depth Estimation from Thermal Images via Adversarial Multi-spectral Adapt

Authors: Shin, Ukcheol*; Park, Kwanyong; Lee, Byeong-Uk; Lee, Kyunghyun; Kweon, In So Description: Recently, thermal image ...

[CVPR2024 ]Mining Supervision for Dynamic Regions in Self-Supervised Monocular Depth Estimation

[CVPR2024 ]Mining Supervision for Dynamic Regions in Self-Supervised Monocular Depth Estimation

[CVPR2024 ]Mining Supervision for Dynamic Regions in Self-Supervised Monocular Depth Estimation