Mohammad Tavakolian

2 accepted papers

2019

AWSD: Adaptive Weighted Spatiotemporal Distillation for Video Representation

Mohammad Tavakolian, Hamed R. Tavakoli, Abdenour Hadid

ICCV 2019poster

We propose an Adaptive Weighted Spatiotemporal Distillation (AWSD) technique for video representation by encoding the appearance and dynamics of the videos into a single RGB image map. This is obtained by adaptively dividing the videos into small segments and comparing two consecutive segments. This…

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2018

Deep Discriminative Model for Video Classification

Mohammad Tavakolian, Abdenour Hadid

ECCV 2018poster

This paper presents a new deep learning approach for video-based scene classification. We design a Heterogeneous Deep Discriminative Model (HDDM) whose parameters are initialized by performing an unsupervised pre-training in a layer-wise fashion using Gaussian Restricted Boltzmann Machines (GRBM). I…

Cited by 9 Source ↗PDF ↗Scholar ↗