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03/17/2023
Leaping Into Memories: Space-Time Deep Feature Synthesis
The success of deep learning models has led to their adaptation and adop...
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10/20/2022
Play It Back: Iterative Attention for Audio Recognition
A key function of auditory cognition is the association of characteristi...
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04/28/2022
Temporal Progressive Attention for Early Action Prediction
Early action prediction deals with inferring the ongoing action from par...
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11/01/2021
AdaPool: Exponential Adaptive Pooling for Information-Retaining Downsampling
Pooling layers are essential building blocks of Convolutional Neural Net...
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10/05/2021
Efficient Modelling Across Time of Human Actions and Interactions
This thesis focuses on video understanding for human action and interact...
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01/29/2021
The Mind's Eye: Visualizing Class-Agnostic Features of CNNs
Visual interpretability of Convolutional Neural Networks (CNNs) has gain...
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11/08/2020
Right on Time: Multi-Temporal Convolutions for Human Action Recognition in Videos
The variations in the temporal performance of human actions observed in ...
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06/15/2020
Learn to cycle: Time-consistent feature discovery for action recognition
Temporal motion has been one of the essential components for effectively...
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02/07/2020
Learning Class Regularized Features for Action Recognition
Training Deep Convolutional Neural Networks (CNNs) is based on the notio...
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09/30/2019
Spatio-Temporal FAST 3D Convolutions for Human Action Recognition
Effective processing of video input is essential for the recognition of ...
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09/18/2019
Class Feature Pyramids for Video Explanation
Deep convolutional networks are widely used in video action recognition....
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02/04/2019
Saliency Tubes: Visual Explanations for Spatio-Temporal Convolutions
Deep learning approaches have been established as the main methodology f...
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07/31/2018
