Lecturer
- About
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Biography
I am a Lecturer (US equivalent Assistant Professor) in the Natural and Computing School of the University of Aberdeen and head of the Multimodal Learning Lab. My research interests are machine learning, computer vision, and medical image analysis.
Before this, I was a Senior Research Fellow at the Computer Science Department of University College London, UK, till December 2022. I also worked as a Postdoctoral Research Associate at Imperial College London, UK, from December 2017 to July 2021. I obtained a PhD in Computer Science from Universite de Caen, France.
Potential PhD candidates: If you are interested in doing PhD at the University of Aberdeen, UK, please get in touch with me at binod.bhattarai@abdn.ac.uk
Selected Publications:
1. Poudel, P., Amgain, S., Shrestha, P., Shrestha, YR, Gyawali P., Bhattarai, B. CAR-MFL: Cross-Modal Augmentation by Retrieval for Multimodal Federated Learning with Missing Modalities MICCAI 2024
2. Bodur R., Bhattarai, B., Kim, T-K "Prompt Augmentation for Self-supervised Text-guided Image Manipulation" CVPR 2024
3. Bhattarai, B., Subedi, R., Gaire, RR, Vazquez, E., Stoyanov, D. "Histogram of Oriented Gradients Meet Deep Learning: A Novel Multi-task Deep Network for 2D Surgical Image Semantic Segmentation", Medical Image Analysis (MedIA) 2023
4. Rau, A., Bhattarai, B., Agapito, L., & Stoyanov, D. "Bimodal camera pose prediction for endoscopy" Transactions on Medical Robotics and Bionics 2023
5. Caramalau, R. Bhattarai, B. and Kim, T-K "Sequential Graph Convolutional Network for Active Learning" CVPR 2021
6. Bhattarai, B. and Kim, T-K "Inducing Optimal Attributes Representations for Conditional GANs" ECCV 2020
7. Gecer, B. Bhattarai, B. Kittler, J. Kim, TK "Semi-supervised Adversarial Learning to Generate Photorealistic Face Images of New Identities from 3D Morphable Model" ECCV 2018
For the details in the publication, visit https://scholar.google.com/citations?hl=en&user=PDEi58sAAAAJ
- Research
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Research Areas
Accepting PhDs
I am currently accepting PhDs in Computing Science.
Please get in touch if you would like to discuss your research ideas further.
Computing Science
Accepting PhDsResearch Specialisms
- Computer Vision
- Machine Learning
- Biomedical Engineering
Our research specialisms are based on the Higher Education Classification of Subjects (HECoS) which is HESA open data, published under the Creative Commons Attribution 4.0 International licence.
- Teaching
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Teaching Responsibilities
- Principles and Practice of Database Systems
- Foundations in Artificial Intelligence
- Publications
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Page 5 of 6 Results 41 to 50 of 54
Active Learning for Bayesian 3D Hand Pose Estimation
Chapters in Books, Reports and Conference Proceedings: Conference ProceedingsInducing optimal attribute representations for conditional GANs
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE] DOI: https://doi.org/10.1007/978-3-030-58571-6_5
Additive Angular Margin for Few Shot Learning to Classify Clinical Endoscopy Images
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE] DOI: https://doi.org/10.1007/978-3-030-59861-7_50
MatchGAN: A Self-Supervised Semi-Supervised Conditional Generative Adversarial Network
Chapters in Books, Reports and Conference Proceedings: Conference ProceedingsSampling Strategies for GAN Synthetic Data
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE] DOI: https://doi.org/10.1109/ICASSP40776.2020.9054677
AugLabel: Exploiting Word Representations to Augment Labels for Face Attribute Classification
Working Papers: Preprint PapersSemi-supervised adversarial learning to generate photorealistic face images of new identities from 3D morphable model
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE] DOI: https://doi.org/10.1007/978-3-030-01252-6_14
A joint learning approach for cross domain age estimation
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE] DOI: https://doi.org/10.1109/ICASSP.2016.7472007
Cp-mtml: Coupled projection multi-task metric learning for large scale face retrieval
Chapters in Books, Reports and Conference Proceedings: Conference ProceedingsDeep fusion of visual signatures for client-server facial analysis
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE] https://hal.science/hal-01390001v2
