Today we’re joined by Nikos Athanasiou, Muhammed Kocabas, Ph.D. students, and Michael Black, Director of the Max Planck Institute for Intelligent Systems.
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We caught up with the group to explore their paper VIBE: Video Inference for Human Body Pose and Shape Estimation, which they submitted to CVPR 2020. In our conversation, we explore the problem that they’re trying to solve through an adversarial learning framework, the datasets (AMASS) that they’re building upon, the core elements that separate this work from its predecessors in this area of research, and the results they’ve seen through their experiments and testing.
Connect with Nikos!
Connect with Muhammed!
Connect with Michael!
- Paper: VIBE: Video Inference for Human Body Pose and Shape Estimation
- VIBE Video Demo
- Official Implementation of VIBE: Video Inference for Human Body Pose and Shape Estimation
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“More On That Later” by Lee Rosevere licensed under CC By 4.0