Learning multi-human optical flow

DOI10.1007/s11263-019-01279-wzbMath1477.68412arXiv1910.11667OpenAlexW3105244967WikidataQ126418926 ScholiaQ126418926MaRDI QIDQ2193569

Anurag Ranjan, Michael J. Black, Javier Romero, David T. Hoffmann, Siyu Tang, Dimitrios Tzionas

Publication date: 20 August 2020

Published in: International Journal of Computer Vision (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1910.11667

zbMATH Keywords

optical flowdeep learninghuman bodiessynthetic dataset

Mathematics Subject Classification ID

Artificial neural networks and deep learning (68T07) Machine vision and scene understanding (68T45)

Uses Software

• TensorFlow
• HumanEva
• Adam
• GitHub
• SMPL
• KITTI
• FlowNet
• EpicFlow
• UCF101
• PWC-Net
• MOT16
• LSUN
• AMASS
• MoSh
• Human3.6M

Cites Work

• Learning low-level vision
• Unnamed Item

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