Deep Learning for Scene Classification: A Survey

no code implementations • 26 Jan 2021 • Delu Zeng, Minyu Liao, Mohammad Tavakolian, Yulan Guo, Bolei Zhou, Dewen Hu, Matti Pietikäinen, Li Liu

Scene classification, aiming at classifying a scene image to one of the predefined scene categories by comprehending the entire image, is a longstanding, fundamental and challenging problem in computer vision.

Classification General Classification +1

AWSD: Adaptive Weighted Spatiotemporal Distillation for Video Representation

no code implementations • ICCV 2019 • Mohammad Tavakolian, Hamed R. Tavakoli, Abdenour Hadid

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.

General Classification Video Classification

AVD: Adversarial Video Distillation

no code implementations • 12 Jul 2019 • Mohammad Tavakolian, Mohammad Sabokrou, Abdenour Hadid

The key idea is to represent videos by compressing them in the form of realistic images, which can be used in a variety of video-based scene analysis applications.

Activity Recognition General Classification +1

Deep Discriminative Model for Video Classification

no code implementations • ECCV 2018 • Mohammad Tavakolian, Abdenour Hadid

This paper presents a new deep learning approach for video-based scene classification.

Action Recognition Classification +5

Deep Spatiotemporal Representation of the Face for Automatic Pain Intensity Estimation

no code implementations • 18 Jun 2018 • Mohammad Tavakolian, Abdenour Hadid

Automatic pain intensity assessment has a high value in disease diagnosis applications.