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Authors: Xiaohang Zhan, Xingang Pan, Bo Dai, Ziwei Liu, Dahua Lin, Chen Change Loy Description: Natural We present a deep line detector and descriptor able to detect repeatable line segments and match them, even under partial ... This is the video of the following work: Chengxuan Zhu, Renjie Wan, Yunkai Tang, and Boxin Shi, CVPR 2020 (Oral) - Just Go with the Flow: Self-Supervised Scene Flow Estimation We propose a new method for recognizing the pose of objects from a single image that for learning uses only unlabelled videos ... Title: 4D Visualization of Dynamic Events from Unconstrained Multi-View Videos Abstract: We present a data-driven approach for ...

CVPR 2020 (Oral) - Just Go with the Flow: Self-Supervised Scene Flow Estimation - Teaser Video I can start with one with a maybe a higher level question first so i mean the the challenge in Reliable markerless motion tracking of multiple people participating in complex group activity from multiple moving cameras is ... We present STaR, a novel method that performs spatial-temporal novel view synthesis and unseen motion animation of dynamic ...

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Self-Supervised Scene De-Occlusion
VIDEO

Self-Supervised Scene De-Occlusion

292 views Live Report

Authors: Xiaohang Zhan, Xingang Pan, Bo Dai, Ziwei Liu, Dahua Lin, Chen Change Loy Description: Natural

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

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

10,346 views Live Report

This work defines and solves the

[CVPR 2021] SOLD²: Self-supervised Occlusion-aware Line Description and Detection (Oral)
VIDEO

[CVPR 2021] SOLD²: Self-supervised Occlusion-aware Line Description and Detection (Oral)

2,929 views Live Report

We present a deep line detector and descriptor able to detect repeatable line segments and match them, even under partial ...

CVPR23 - Occlusion-Free Scene Recovery via Neural Radiance Fields
VIDEO

CVPR23 - Occlusion-Free Scene Recovery via Neural Radiance Fields

155 views Live Report

This is the video of the following work: Chengxuan Zhu, Renjie Wan, Yunkai Tang, and Boxin Shi,

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Last Updated: May 26, 2026

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