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08/17/2023
Learning Through Guidance: Knowledge Distillation for Endoscopic Image Classification
Endoscopy plays a major role in identifying any underlying abnormalities...
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05/19/2023
Remembering What Is Important: A Factorised Multi-Head Retrieval and Auxiliary Memory Stabilisation Scheme for Human Motion Prediction
Humans exhibit complex motions that vary depending on the task that they...
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08/08/2022
Vision-Based Activity Recognition in Children with Autism-Related Behaviors
Advances in machine learning and contactless sensors have enabled the un...
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04/05/2022
Towards On-Board Panoptic Segmentation of Multispectral Satellite Images
With tremendous advancements in low-power embedded computing devices and...
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02/26/2022
Continuous Human Action Recognition for Human-Machine Interaction: A Review
With advances in data-driven machine learning research, a wide variety o...
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08/09/2021
Multi-Slice Net: A novel light weight framework for COVID-19 Diagnosis
This paper presents a novel lightweight COVID-19 diagnosis framework usi...
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12/04/2020
Deep Learning for Medical Anomaly Detection – A Survey
Machine learning-based medical anomaly detection is an important problem...
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11/10/2020
Multi-modal Fusion for Single-Stage Continuous Gesture Recognition
Gesture recognition is a much studied research area which has myriad rea...
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07/12/2020
Two-Stream Deep Feature Modelling for Automated Video Endoscopy Data Analysis
Automating the analysis of imagery of the Gastrointestinal (GI) tract ca...
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05/07/2020
Hierarchical Attention Network for Action Segmentation
The temporal segmentation of events is an essential task and a precursor...
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12/16/2019
Predicting the Future: A Jointly Learnt Model for Action Anticipation
Inspired by human neurological structures for action anticipation, we pr...
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09/20/2019
Coupled Generative Adversarial Network for Continuous Fine-grained Action Segmentation
We propose a novel conditional GAN (cGAN) model for continuous fine-grai...
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09/20/2019
Forecasting Future Action Sequences with Neural Memory Networks
We propose a novel neural memory network based framework for future acti...
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09/20/2019
Fine-grained Action Segmentation using the Semi-Supervised Action GAN
In this paper we address the problem of continuous fine-grained action s...
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12/18/2018
Multi-Level Sequence GAN for Group Activity Recognition
We propose a novel semi-supervised, Multi-Level Sequential Generative Ad...
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04/04/2017