Media Summary: Check the following link, and stay tuned with us! code: Video presentation of our CVPR 2023 paper: Authors: Himangi Mittal, Brian Okorn, David Held Description: When interacting with highly dynamic environments,

Seflow A Self Supervised Scene - Detailed Analysis & Overview

Check the following link, and stay tuned with us! code: Video presentation of our CVPR 2023 paper: Authors: Himangi Mittal, Brian Okorn, David Held Description: When interacting with highly dynamic environments, Itai Lang, Dror Aiger, Forrester Cole, Shai Avidan, Michael Rubinstein. SCOOP: Vincent Sitzmann from MIT, presented a talk in the MERL Seminar Series on March 30, 2022. Abstract: Given only a single picture, ...

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SeFlow: A Self-Supervised Scene Flow Method in Autonomous Driving [ECCV'24]
[CVPR 2020] Self-Supervised Monocular Scene Flow Estimation (5-min talk)
[CVPR 2023] Self-Supervised 3D Scene Flow Estimation Guided by Superpoints
[CVPR 2021] Self-Supervised Multi-Frame Monocular Scene Flow
Just Go With the Flow: Self-Supervised Scene Flow Estimation
CVPR 2020 oral paper "Self-Supervised Scene De-occlusion" (click CC for subtitles)
[CVPR 2023] SCOOP: Self-Supervised Correspondence and Optimization-Based Scene Flow
Self-Supervised Learning of Remote Sensing Scene Representations Using Contrastive Multiview Coding
[MERL Seminar Series Spring 2022] Self-Supervised Scene Representation Learning
SLIM: Self-Supervised LiDAR Scene Flow and Motion Segmentation
SLIM: Self-Supervised LiDAR Scene Flow and Motion Segmentation
[CVPR 2023] Self-supervised AutoFlow
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SeFlow: A Self-Supervised Scene Flow Method in Autonomous Driving [ECCV'24]

SeFlow: A Self-Supervised Scene Flow Method in Autonomous Driving [ECCV'24]

Check the following link, and stay tuned with us! code: https://github.com/KTH-RPL/

[CVPR 2020] Self-Supervised Monocular Scene Flow Estimation (5-min talk)

[CVPR 2020] Self-Supervised Monocular Scene Flow Estimation (5-min talk)

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:

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,

CVPR 2020 oral paper "Self-Supervised Scene De-occlusion" (click CC for subtitles)

CVPR 2020 oral paper "Self-Supervised Scene De-occlusion" (click CC for subtitles)

This work defines and solves the

[CVPR 2023] SCOOP: Self-Supervised Correspondence and Optimization-Based Scene Flow

[CVPR 2023] SCOOP: Self-Supervised Correspondence and Optimization-Based Scene Flow

Itai Lang, Dror Aiger, Forrester Cole, Shai Avidan, Michael Rubinstein. SCOOP:

Self-Supervised Learning of Remote Sensing Scene Representations Using Contrastive Multiview Coding

Self-Supervised Learning of Remote Sensing Scene Representations Using Contrastive Multiview Coding

Self

[MERL Seminar Series Spring 2022] Self-Supervised Scene Representation Learning

[MERL Seminar Series Spring 2022] Self-Supervised Scene Representation Learning

Vincent Sitzmann from MIT, presented a talk in the MERL Seminar Series on March 30, 2022. Abstract: Given only a single picture, ...

SLIM: Self-Supervised LiDAR Scene Flow and Motion Segmentation

SLIM: Self-Supervised LiDAR Scene Flow and Motion Segmentation

Recently, several frameworks for

SLIM: Self-Supervised LiDAR Scene Flow and Motion Segmentation

SLIM: Self-Supervised LiDAR Scene Flow and Motion Segmentation

Recently, several frameworks for

[CVPR 2023] Self-supervised AutoFlow

[CVPR 2023] Self-supervised AutoFlow

[CVPR 2023]

[RA-L & IROS 2022] Self-Supervised Scene Flow Estimation with 4-D Automotive Radar

[RA-L & IROS 2022] Self-Supervised Scene Flow Estimation with 4-D Automotive Radar

The video presents our work "