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12/31/2020
3D Human motion anticipation and classification
Human motion prediction and understanding is a challenging problem. Due ...
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06/04/2020
Scaling Distributed Training with Adaptive Summation
Stochastic gradient descent (SGD) is an inherently sequential training a...
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10/01/2019
NGEMM: Optimizing GEMM for Deep Learning via Compiler-based Techniques
Quantization has emerged to be an effective way to significantly boost t...
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05/20/2018
Object Localization and Motion Transfer learning with Capsules
Inspired by CapsNet's routing-by-agreement mechanism, with its ability t...
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11/27/2017
HP-GAN: Probabilistic 3D human motion prediction via GAN
Predicting and understanding human motion dynamics has many applications...
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08/03/2016
Training Deep Networks for Facial Expression Recognition with Crowd-Sourced Label Distribution
Crowd sourcing has become a widely adopted scheme to collect ground trut...
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04/21/2016
