SLAMB: Accelerated Large Batch Training with Sparse Communication

1 code implementation • The International Conference on Machine Learning (ICML) 2023 • Hang Xu, Wenxuan Zhang, Jiawei Fei, Yuzhe Wu, Tingwen Xie, Jun Huang, Yuchen Xie, Mohamed Elhoseiny, Panos Kalnis

Distributed training of large deep neural networks requires frequent exchange of massive data between machines, thus communication efficiency is a major concern.

Perceptual Quality Assessment for Digital Human Heads

1 code implementation • 20 Sep 2022 • ZiCheng Zhang, Yingjie Zhou, Wei Sun, Xiongkuo Min, Yuzhe Wu, Guangtao Zhai

Digital humans are attracting more and more research interest during the last decade, the generation, representation, rendering, and animation of which have been put into large amounts of effort.

Mining Cross-Person Cues for Body-Part Interactiveness Learning in HOI Detection

1 code implementation • 28 Jul 2022 • Xiaoqian Wu, Yong-Lu Li, Xinpeng Liu, Junyi Zhang, Yuzhe Wu, Cewu Lu

Though significant progress has been made, interactiveness learning remains a challenging problem in HOI detection: existing methods usually generate redundant negative H-O pair proposals and fail to effectively extract interactive pairs.

Human-Object Interaction Detection