Harshala Gammulle

Orcid: 0000-0003-0670-0406

According to our database1, Harshala Gammulle authored at least 19 papers between 2015 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
Toward On-Board Panoptic Segmentation of Multispectral Satellite Images.
IEEE Trans. Geosci. Remote. Sens., 2023

Continuous Human Action Recognition for Human-machine Interaction: A Review.
ACM Comput. Surv., 2023

Learning Through Guidance: Knowledge Distillation for Endoscopic Image Classification.
CoRR, 2023

Remembering What Is Important: A Factorised Multi-Head Retrieval and Auxiliary Memory Stabilisation Scheme for Human Motion Prediction.
CoRR, 2023

2022
Deep Learning for Medical Anomaly Detection - A Survey.
ACM Comput. Surv., 2022

Vision-Based Activity Recognition in Children with Autism-Related Behaviors.
CoRR, 2022

Towards On-Board Panoptic Segmentation of Multispectral Satellite Images.
CoRR, 2022

2021
TMMF: Temporal Multi-Modal Fusion for Single-Stage Continuous Gesture Recognition.
IEEE Trans. Image Process., 2021

Multi-Slice Net: A novel light weight framework for COVID-19 Diagnosis.
CoRR, 2021

2020
Hierarchical Attention Network for Action Segmentation.
Pattern Recognit. Lett., 2020

Fine-grained action segmentation using the semi-supervised action GAN.
Pattern Recognit., 2020

Multi-modal Fusion for Single-Stage Continuous Gesture Recognition.
CoRR, 2020

Two-Stream Deep Feature Modelling for Automated Video Endoscopy Data Analysis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019
Coupled Generative Adversarial Network for Continuous Fine-Grained Action Segmentation.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Predicting the Future: A Jointly Learnt Model for Action Anticipation.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Forecasting Future Action Sequences with Neural Memory Networks.
Proceedings of the 30th British Machine Vision Conference 2019, 2019

2018
Multi-level Sequence GAN for Group Activity Recognition.
Proceedings of the Computer Vision - ACCV 2018, 2018

2017
Two Stream LSTM: A Deep Fusion Framework for Human Action Recognition.
Proceedings of the 2017 IEEE Winter Conference on Applications of Computer Vision, 2017

2015
Fuzzy logic based mobile robot target tracking in dynamic hostile environment.
Proceedings of the IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, 2015


  Loading...