Media Summary: We address the simulation-to-real domain gap in six degree-of-freedom Authors: Shunkai Li, Xin Wang, Yingdian Cao, Fei Xue, Zike Yan, Hongbin Zha Description: Authors: Muller, Bruce*; Smith, William Description: We propose a

Self Supervised Deep Pose Corrections - Detailed Analysis & Overview

We address the simulation-to-real domain gap in six degree-of-freedom Authors: Shunkai Li, Xin Wang, Yingdian Cao, Fei Xue, Zike Yan, Hongbin Zha Description: Authors: Muller, Bruce*; Smith, William Description: We propose a This is the presentation video of OSSID: Online Authors: Adrian Spurr*, Aneesh Dahiya*, Xi Wang, Xucong Zhang, Otmar Hilliges *denotes equal contribution Project page: ... Video for our ICCV 2023 paper "HaMuCo: Hand

Our framework disentangles factors of variation in human-centric images via a joint-anchored puppet model without accessing ... Supplementary video submission. Project website: Abstract: Warehouse automation ... PT4AL: Using Self-Supervised Pretext Tasks for Active Learning (ECCV 2022) Authors: Tomas Jakab, Ankush Gupta, Hakan Bilen, Andrea Vedaldi Description: We propose a new method for recognizing the ... Authors: Jogendra Nath Kundu, Siddharth Seth, Varun Jampani, Mugalodi Rakesh, R. Venkatesh Babu, Anirban Chakraborty ... Authors: Wang Zhao, Shaohui Liu, Yezhi Shu, Yong-Jin Liu Description: In this work, we tackle the essential problem of scale ...

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Self-Supervised Deep Pose Corrections for Robust Visual Odometry (ICRA'20)
BOSS: Self-supervised box pose and shape estimation
ECCV24 - RKHSPose: Pseudo-keypoint RKHS Learning for Self-supervised 6DoF Pose Estimation
Self-Supervised Deep Visual Odometry With Online Adaptation
Self-supervised Relative Pose with Homography Model-fitting in the Loop
[ICLR'23] Self-Supervised Category-Level Articulated Pose Estimation with Part-Level Equivariance
OSSID: Online Self-Supervised Instance Detection (and for) Pose Estimation
CVPR2025_ONDA-Pose
PeCLR: Self-Supervised 3D Hand Pose Estimation from monocular RGB via Contrastive Learning
HaMuCo: Hand Pose Estimation via Multiview Collaborative Self-Supervised Learning.
Self-Supervised Keypoint Discovery in Behavioral Videos (CVPR 2022)
[CVPR'20 Oral]Self-Supervised 3D Human Pose Estimation via Part Guided Novel Image Synthesis (1 min)
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Self-Supervised Deep Pose Corrections for Robust Visual Odometry (ICRA'20)

Self-Supervised Deep Pose Corrections for Robust Visual Odometry (ICRA'20)

"

BOSS: Self-supervised box pose and shape estimation

BOSS: Self-supervised box pose and shape estimation

Video attachment for the paper "Box

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ECCV24 - RKHSPose: Pseudo-keypoint RKHS Learning for Self-supervised 6DoF Pose Estimation

ECCV24 - RKHSPose: Pseudo-keypoint RKHS Learning for Self-supervised 6DoF Pose Estimation

We address the simulation-to-real domain gap in six degree-of-freedom

Self-Supervised Deep Visual Odometry With Online Adaptation

Self-Supervised Deep Visual Odometry With Online Adaptation

Authors: Shunkai Li, Xin Wang, Yingdian Cao, Fei Xue, Zike Yan, Hongbin Zha Description:

Self-supervised Relative Pose with Homography Model-fitting in the Loop

Self-supervised Relative Pose with Homography Model-fitting in the Loop

Authors: Muller, Bruce*; Smith, William Description: We propose a

Sponsored
[ICLR'23] Self-Supervised Category-Level Articulated Pose Estimation with Part-Level Equivariance

[ICLR'23] Self-Supervised Category-Level Articulated Pose Estimation with Part-Level Equivariance

Project page: https://equi-articulated-

OSSID: Online Self-Supervised Instance Detection (and for) Pose Estimation

OSSID: Online Self-Supervised Instance Detection (and for) Pose Estimation

This is the presentation video of OSSID: Online

CVPR2025_ONDA-Pose

CVPR2025_ONDA-Pose

ONDA-

PeCLR: Self-Supervised 3D Hand Pose Estimation from monocular RGB via Contrastive Learning

PeCLR: Self-Supervised 3D Hand Pose Estimation from monocular RGB via Contrastive Learning

Authors: Adrian Spurr*, Aneesh Dahiya*, Xi Wang, Xucong Zhang, Otmar Hilliges *denotes equal contribution Project page: ...

HaMuCo: Hand Pose Estimation via Multiview Collaborative Self-Supervised Learning.

HaMuCo: Hand Pose Estimation via Multiview Collaborative Self-Supervised Learning.

Video for our ICCV 2023 paper "HaMuCo: Hand

Self-Supervised Keypoint Discovery in Behavioral Videos (CVPR 2022)

Self-Supervised Keypoint Discovery in Behavioral Videos (CVPR 2022)

Project page: https://sites.google.com/view/b-kind Paper: https://arxiv.org/abs/2112.05121 Code: ...

[CVPR'20 Oral]Self-Supervised 3D Human Pose Estimation via Part Guided Novel Image Synthesis (1 min)

[CVPR'20 Oral]Self-Supervised 3D Human Pose Estimation via Part Guided Novel Image Synthesis (1 min)

Our framework disentangles factors of variation in human-centric images via a joint-anchored puppet model without accessing ...

Multi-view Self-supervised Deep Learning for 6D Pose Estimation in the Amazon Picking Challenge

Multi-view Self-supervised Deep Learning for 6D Pose Estimation in the Amazon Picking Challenge

Supplementary video submission. Project website: http://www.cs.princeton.edu/~andyz/apc2016 Abstract: Warehouse automation ...

cvpr23 video SMOC-Net

cvpr23 video SMOC-Net

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PT4AL: Using Self-Supervised Pretext Tasks for Active Learning (ECCV 2022)

PT4AL: Using Self-Supervised Pretext Tasks for Active Learning (ECCV 2022)

PT4AL: Using Self-Supervised Pretext Tasks for Active Learning (ECCV 2022)

Self-Supervised Learning of Interpretable Keypoints From Unlabelled Videos

Self-Supervised Learning of Interpretable Keypoints From Unlabelled Videos

Authors: Tomas Jakab, Ankush Gupta, Hakan Bilen, Andrea Vedaldi Description: We propose a new method for recognizing the ...

Self-Supervised 3D Human Pose Estimation via Part Guided Novel Image Synthesis

Self-Supervised 3D Human Pose Estimation via Part Guided Novel Image Synthesis

Authors: Jogendra Nath Kundu, Siddharth Seth, Varun Jampani, Mugalodi Rakesh, R. Venkatesh Babu, Anirban Chakraborty ...

Towards Better Generalization: Joint Depth-Pose Learning Without PoseNet

Towards Better Generalization: Joint Depth-Pose Learning Without PoseNet

Authors: Wang Zhao, Shaohui Liu, Yezhi Shu, Yong-Jin Liu Description: In this work, we tackle the essential problem of scale ...

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