Media Summary: Authors: Junhwa Hur, Stefan Roth Description: Video presentation of our CVPR 2023 paper: Video presentation for our paper "DeepLiDARFlow: A Deep Learning Architecture For

Self Supervised Monocular Scene Flow Estimation - Detailed Analysis & Overview

Authors: Junhwa Hur, Stefan Roth Description: Video presentation of our CVPR 2023 paper: Video presentation for our paper "DeepLiDARFlow: A Deep Learning Architecture For Authors: Himangi Mittal, Brian Okorn, David Held Description: When interacting with highly dynamic environments, Learn all the ways Microsoft is a part of CVPR 2020: MaLGa Seminar Series - Machine Learning and Vision. Speaker: Junhwa Hur Affiliation: TU-Darmstadt Title:

We developed a state-of-the-art approach to adverse weather and image degradation. In this video, we will be discussing the MiDAS paper, Depth Anything V1, and the latest Depth Anything V2 paper! We are going to ... Authors: Chen, Xingyu; Li, Thomas H; Zhang, Ruonan; Li, Ge* Description: We present two versatile methods to generally ... Lorenzo Andraghetti, Panteleimon Myriokefalitakis, Pier Luigi Dovesi, Belen Luque, Matteo Poggi, Alessandro Pieropan, Stefano ... Meet MOSAIC-GS: the novel framework for efficient Dynamic Vignesh Prasad, Brojeshwar Bhowmick, IEEE Winter Conference on Applications of Computer Vision (WACV), 2019 Abstract: ...

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Self-Supervised Monocular Scene Flow Estimation
[CVPR 2020] Self-Supervised Monocular Scene Flow Estimation (1 min teaser)
[CVPR 2023] Self-Supervised 3D Scene Flow Estimation Guided by Superpoints
[CVPR 2021] Self-Supervised Multi-Frame Monocular Scene Flow
DeepLiDARFlow: Deep Scene Flow Estimation Using a Monocular Camera and a Sparse LiDAR - IROS 2020
Just Go With the Flow: Self-Supervised Scene Flow Estimation
Self Supervised Human Depth Estimation From Monocular Videos
RealMonoDepth: Self-Supervised Monocular Depth Estimation for General Scenes
Junhwa Hur (TU-Darmstadt) - Self-supervised learning of depth and motion from monocular images
Robust Depth (Self-supervised Monocular Depth Estimation: Let's Talk About The Weather) ICCV'23
How Neural Nets estimate depth from 2D images? Monocular Depth Estimation Explained!
Frequency-Aware Self-Supervised Monocular Depth Estimation
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Self-Supervised Monocular Scene Flow Estimation

Self-Supervised Monocular Scene Flow Estimation

Authors: Junhwa Hur, Stefan Roth Description:

[CVPR 2020] Self-Supervised Monocular Scene Flow Estimation (1 min teaser)

[CVPR 2020] Self-Supervised Monocular Scene Flow Estimation (1 min teaser)

Title:

[CVPR 2023] Self-Supervised 3D Scene Flow Estimation Guided by Superpoints

[CVPR 2023] Self-Supervised 3D Scene Flow Estimation Guided by Superpoints

Video presentation of our CVPR 2023 paper:

[CVPR 2021] Self-Supervised Multi-Frame Monocular Scene Flow

[CVPR 2021] Self-Supervised Multi-Frame Monocular Scene Flow

Title:

DeepLiDARFlow: Deep Scene Flow Estimation Using a Monocular Camera and a Sparse LiDAR - IROS 2020

DeepLiDARFlow: Deep Scene Flow Estimation Using a Monocular Camera and a Sparse LiDAR - IROS 2020

https://av.dfki.de/ Video presentation for our paper "DeepLiDARFlow: A Deep Learning Architecture For

Just Go With the Flow: Self-Supervised Scene Flow Estimation

Just Go With the Flow: Self-Supervised Scene Flow Estimation

Authors: Himangi Mittal, Brian Okorn, David Held Description: When interacting with highly dynamic environments,

Self Supervised Human Depth Estimation From Monocular Videos

Self Supervised Human Depth Estimation From Monocular Videos

Learn all the ways Microsoft is a part of CVPR 2020: https://www.microsoft.com/en-us/research/event/cvpr-2020/

RealMonoDepth: Self-Supervised Monocular Depth Estimation for General Scenes

RealMonoDepth: Self-Supervised Monocular Depth Estimation for General Scenes

Paper: https://arxiv.org/abs/2004.06267.

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:

Robust Depth (Self-supervised Monocular Depth Estimation: Let's Talk About The Weather) ICCV'23

Robust Depth (Self-supervised Monocular Depth Estimation: Let's Talk About The Weather) ICCV'23

We developed a state-of-the-art approach to adverse weather and image degradation.

How Neural Nets estimate depth from 2D images? Monocular Depth Estimation Explained!

How Neural Nets estimate depth from 2D images? Monocular Depth Estimation Explained!

In this video, we will be discussing the MiDAS paper, Depth Anything V1, and the latest Depth Anything V2 paper! We are going to ...

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 ...

Enhancing self-supervised monocular depth estimation with traditional visual odometry

Enhancing self-supervised monocular depth estimation with traditional visual odometry

Lorenzo Andraghetti, Panteleimon Myriokefalitakis, Pier Luigi Dovesi, Belen Luque, Matteo Poggi, Alessandro Pieropan, Stefano ...

Self-Supervised Scale Recovery for Monocular Depth and Egomotion Estimation (IROS'21)

Self-Supervised Scale Recovery for Monocular Depth and Egomotion Estimation (IROS'21)

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Efficient All-Pairs Correlation Volume Sampling for Optical Flow Estimation

Efficient All-Pairs Correlation Volume Sampling for Optical Flow Estimation

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FMPose3D: Monocular 3D Pose Estimation via Flow Matching | CVPR 2026

FMPose3D: Monocular 3D Pose Estimation via Flow Matching | CVPR 2026

FMPose3D:

MOSAIC-GS: Monocular Scene Reconstruction for Complex Dynamic Environments

MOSAIC-GS: Monocular Scene Reconstruction for Complex Dynamic Environments

Meet MOSAIC-GS: the novel framework for efficient Dynamic

SfMLearner++: Learning Monocular Depth & Ego-Motion using Meaningful Geometric Constraints

SfMLearner++: Learning Monocular Depth & Ego-Motion using Meaningful Geometric Constraints

Vignesh Prasad, Brojeshwar Bhowmick, IEEE Winter Conference on Applications of Computer Vision (WACV), 2019 Abstract: ...