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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SeCGAN: Parallel Conditional Generative Adversarial Networks for Face Editing via Semantic Consistency
The Computer Vision and Pattern Recognition ConferenceContributions to Conferences: Posters- [ONLINE] DOI: https://doi.org/10.48550/arXiv.2111.09298
- [ONLINE] Conference website
Task-Aware Active Learning for Endoscopic Image Analysis
Working Papers: Working Papers- [ONLINE] DOI: https://doi.org/10.48550/arXiv.2204.03440
A Unified Architecture of Semantic Segmentation and Hierarchical Generative Adversarial Networks for Expression Manipulation
Working Papers: Working Papers- [ONLINE] DOI: https://doi.org/10.48550/arXiv.2112.04603
Sequential Graph Convolutional Network for Active Learning
Chapters in Books, Reports and Conference Proceedings: Conference ProceedingsBrand Label Albedo Extraction of eCommerce Products using Generative Adversarial Network
Contributions to Conferences: PapersFace Parsing from RGB and Depth Using Cross-Domain Mutual Learning
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE] DOI: https://doi.org/10.1109/CVPRW53098.2021.00166
Input Invex Neural Network
Working Papers: Preprint Papers- [ONLINE] DOI: https://doi.org/10.48550/arXiv.2106.08748
3D Dense Geometry-Guided Facial Expression Synthesis by Adversarial Learning
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE] DOI: https://doi.org/10.1109/WACV48630.2021.00244
Visual Transformer for Task-aware Active Learning
Working Papers: Preprint Papers- [ONLINE] https://arxiv.org/abs/2106.03801
Active Learning for Bayesian 3D Hand Pose Estimation
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings
