Next
Livestream will start soon!
Livestream has already ended.
Presentation has not been recorded yet!
  • title: Action-guided 3D Human Motion Prediction
      0:00 / 0:00
      • Report Issue
      • Settings
      • Playlists
      • Bookmarks
      • Subtitles Off
      • Playback rate
      • Quality
      • Settings
      • Debug information
      • Server sl-yoda-v3-stream-012-alpha.b-cdn.net
      • Subtitles size Medium
      • Bookmarks
      • Server
      • sl-yoda-v3-stream-012-alpha.b-cdn.net
      • sl-yoda-v3-stream-012-beta.b-cdn.net
      • 1338956956.rsc.cdn77.org
      • 1656830687.rsc.cdn77.org
      • Subtitles
      • Off
      • English
      • Playback rate
      • Quality
      • Subtitles size
      • Large
      • Medium
      • Small
      • Mode
      • Video Slideshow
      • Audio Slideshow
      • Slideshow
      • Video
      My playlists
        Bookmarks
          00:00:00
            Action-guided 3D Human Motion Prediction
            • Settings
            • Sync diff
            • Quality
            • Settings
            • Server
            • Quality
            • Server

            Action-guided 3D Human Motion Prediction

            Dec 6, 2021

            Speakers

            JS

            Jiangxin Sun

            Speaker · 0 followers

            ZL

            Zihang Lin

            Speaker · 0 followers

            XH

            Xintong Han

            Speaker · 0 followers

            About

            The ability of forecasting future human motion is important for human-machine interaction systems to understand human behaviors and make interaction. In this work, we focus on developing models to predict future human motion from past observed video frames. Motivated by the observation that human motion is closely related to the action being performed, we propose to explore action context to guide motion prediction. Specifically, we construct an action-specific memory bank to store representativ…

            Organizer

            N2
            N2

            NeurIPS 2021

            Account · 1.9k followers

            About NeurIPS 2021

            Neural Information Processing Systems (NeurIPS) is a multi-track machine learning and computational neuroscience conference that includes invited talks, demonstrations, symposia and oral and poster presentations of refereed papers. Following the conference, there are workshops which provide a less formal setting.

            Like the format? Trust SlidesLive to capture your next event!

            Professional recording and live streaming, delivered globally.

            Sharing

            Recommended Videos

            Presentations on similar topic, category or speaker

            Understanding Training-Data Leakage from Gradients in Neural Networks for Image Classifications
            03:05

            Understanding Training-Data Leakage from Gradients in Neural Networks for Image Classifications

            Cangxiong Chen, …

            N2
            N2
            NeurIPS 2021 3 years ago

            Total of 0 viewers voted for saving the presentation to eternal vault which is 0.0%

            Chasing Sparsity in Vision Transformers: An End-to-End Exploration
            11:29

            Chasing Sparsity in Vision Transformers: An End-to-End Exploration

            Tianlong Chen, …

            N2
            N2
            NeurIPS 2021 3 years ago

            Total of 0 viewers voted for saving the presentation to eternal vault which is 0.0%

            Revisiting Graph Neural Networks for Link Prediction
            14:56

            Revisiting Graph Neural Networks for Link Prediction

            Muhan Zhang, …

            N2
            N2
            NeurIPS 2021 3 years ago

            Total of 0 viewers voted for saving the presentation to eternal vault which is 0.0%

            Is Robustness Driven by Invariant Neural Representations?
            21:52

            Is Robustness Driven by Invariant Neural Representations?

            Xavier Boix

            N2
            N2
            NeurIPS 2021 3 years ago

            Total of 0 viewers voted for saving the presentation to eternal vault which is 0.0%

            Topographic VAEs Learn Equivariant Capsules
            09:58

            Topographic VAEs Learn Equivariant Capsules

            T. Anderson Keller, …

            N2
            N2
            NeurIPS 2021 3 years ago

            Total of 0 viewers voted for saving the presentation to eternal vault which is 0.0%

            Learning Student-Friendly Teacher Networks for Knowledge Distillation
            13:41

            Learning Student-Friendly Teacher Networks for Knowledge Distillation

            Dae Young Park, …

            N2
            N2
            NeurIPS 2021 3 years ago

            Total of 0 viewers voted for saving the presentation to eternal vault which is 0.0%

            Interested in talks like this? Follow NeurIPS 2021