Media Summary: Introduction to ICCV 2025 paper We introduce a novel approach for simultaneous The reconstruction of dense 3D models of face geometry and appearance from a single image is highly challenging and ill-posed. Min-Hung Chen, Baopu Li, Yingze Bao, Ghassan AlRegib, and Zsolt Kira, “Action Segmentation with

Joint Self Supervised Video Alignment - Detailed Analysis & Overview

Introduction to ICCV 2025 paper We introduce a novel approach for simultaneous The reconstruction of dense 3D models of face geometry and appearance from a single image is highly challenging and ill-posed. Min-Hung Chen, Baopu Li, Yingze Bao, Ghassan AlRegib, and Zsolt Kira, “Action Segmentation with Itai Lang, Dror Aiger, Forrester Cole, Shai Avidan, Michael Rubinstein. SCOOP:

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Joint Self Supervised Video Alignment and Action Segmentation
Learning by Aligning Videos in Time (CVPR 2021)
Self-Supervised Motion Learning from Static Images (MoSI) explained
Self-Supervised Learning: Why Joint-Embedding Beats Reconstruction in Real-World Data
Self-supervised Face Model Learning for Monocular Reconstruction at 250 Hz (CVPR 2018 Oral)
Cross-Architecture Self-supervised Video Representation Learning
Action Segmentation with Joint Self-Supervised Temporal Domain Adaptation
Neural Congealing: Aligning Images to a Joint Semantic Atlas (CVPR 2023)
#300 Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture
Harel Cain - Self-supervised facial alignment using CNNs
Online Learning of Object Representations by Appearance Space Feature Alignment
[CVPR 2023] SCOOP: Self-Supervised Correspondence and Optimization-Based Scene Flow
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Joint Self Supervised Video Alignment and Action Segmentation

Joint Self Supervised Video Alignment and Action Segmentation

Introduction to ICCV 2025 paper We introduce a novel approach for simultaneous

Learning by Aligning Videos in Time (CVPR 2021)

Learning by Aligning Videos in Time (CVPR 2021)

We present a

Self-Supervised Motion Learning from Static Images (MoSI) explained

Self-Supervised Motion Learning from Static Images (MoSI) explained

This

Self-Supervised Learning: Why Joint-Embedding Beats Reconstruction in Real-World Data

Self-Supervised Learning: Why Joint-Embedding Beats Reconstruction in Real-World Data

In this

Self-supervised Face Model Learning for Monocular Reconstruction at 250 Hz (CVPR 2018 Oral)

Self-supervised Face Model Learning for Monocular Reconstruction at 250 Hz (CVPR 2018 Oral)

The reconstruction of dense 3D models of face geometry and appearance from a single image is highly challenging and ill-posed.

Cross-Architecture Self-supervised Video Representation Learning

Cross-Architecture Self-supervised Video Representation Learning

Paper Link: ...

Action Segmentation with Joint Self-Supervised Temporal Domain Adaptation

Action Segmentation with Joint Self-Supervised Temporal Domain Adaptation

Min-Hung Chen, Baopu Li, Yingze Bao, Ghassan AlRegib, and Zsolt Kira, “Action Segmentation with

Neural Congealing: Aligning Images to a Joint Semantic Atlas (CVPR 2023)

Neural Congealing: Aligning Images to a Joint Semantic Atlas (CVPR 2023)

Video

#300 Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture

#300 Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture

The Image-based

Harel Cain - Self-supervised facial alignment using CNNs

Harel Cain - Self-supervised facial alignment using CNNs

Harel Cain -

Online Learning of Object Representations by Appearance Space Feature Alignment

Online Learning of Object Representations by Appearance Space Feature Alignment

We propose a

[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:

[CVPR 2025] ArticulatedGS: Self-supervised Digital Twin Modeling of Articulated Objects using 3DGS

[CVPR 2025] ArticulatedGS: Self-supervised Digital Twin Modeling of Articulated Objects using 3DGS

ArticulatedGS: