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 1 of 2 Results 1 to 25 of 49
Active Label Refinement for Robust Training of Imbalanced Medical Image Classification Tasks in the Presence of High Label Noise
Contributions to Conferences: PapersCAR-MFL: Cross-Modal Augmentation by Retrieval for Multimodal Federated Learning with Missing Modalities
Contributions to Conferences: PapersTE-SSL: Time and Event-aware Self Supervised Learning for Alzheimer’s Disease Progression Analysis
Contributions to Conferences: PapersPrompt Augmentation for Self-supervised Text-guided Image Manipulation
Chapters in Books, Reports and Conference Proceedings: Conference ProceedingsT2FNorm: Train-time Feature Normalization for OOD Detection in Image Classification
Chapters in Books, Reports and Conference Proceedings: Conference ProceedingsTextAug: Test Time Text Augmentation for Multimodal Person Re-Identification
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE] DOI: https://doi.org/10.1109/WACVW60836.2024.00040
- [ONLINE] View publication in Scopus
Placental vessel segmentation and registration in fetoscopy: Literature review and MICCAI FetReg2021 challenge findings
Medical Image Analysis, vol. 92, pp. 103066Contributions to Journals: Review articlesM-VAAL: Multimodal Variational Adversarial Active Learning for Downstream Medical Image Analysis Tasks
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE] DOI: https://doi.org/10.1007/978-3-031-48593-0_4
- [ONLINE] View publication in Scopus
Neural Network Pruning for Real-Time Polyp Segmentation
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE] DOI: https://doi.org/10.1007/978-3-031-48593-0_22
- [ONLINE] View publication in Scopus
Bimodal Camera Pose Prediction for Endoscopy
IEEE Transactions on Medical Robotics and Bionics, vol. 5, no. 4, pp. 978-989Contributions to Journals: Articles- [ONLINE] DOI: https://doi.org/10.1109/TMRB.2023.3320267
Task-Guided Domain Gap Reduction for Monocular Depth Prediction in Endoscopy
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE] DOI: https://doi.org/10.1007/978-3-031-44992-5_11
- [ONLINE] View publication in Scopus
- [ONLINE] AM at UCL Repository
A Client-Server Deep Federated Learning for Cross-Domain Surgical Image Segmentation
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE] https://arxiv.org/abs/2306.08720
- [ONLINE] DOI: https://doi.org/10.1007/978-3-031-44992-5_3
- [ONLINE] View publication in Scopus
Improving Medical Image Classification in Noisy Labels Using only Self-supervised Pretraining
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE] DOI: https://doi.org/10.1007/978-3-031-44992-5_8
- [ONLINE] View publication in Scopus
CholecTriplet2022: Show me a tool and tell me the triplet — An endoscopic vision challenge for surgical action triplet detection
Contributions to Journals: Short Survey- [ONLINE] DOI: https://doi.org/10.1016/j.media.2023.102888
- [ONLINE] View publication in Scopus
Preface DEMI 2023: Data Engineering in Medical Imaging
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE] DOI: https://doi.org/10.1007/978-3-031-44992-5
- [ONLINE] View publication in Scopus
Why is the Winner the Best?
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE] DOI: https://doi.org/10.1109/CVPR52729.2023.01911
- [ONLINE] View publication in Scopus
Joint Training of Hierarchical GANs and Semantic Segmentation for Expression Translation
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE] DOI: https://doi.org/10.1109/ICASSP49357.2023.10097243
- [ONLINE] View publication in Scopus
Histogram of Oriented Gradients Meet Deep Learning: A Novel Multi-task Deep Network for Medical Image Semantic Segmentation
Medical Image Analysis, vol. 85, 102747Contributions to Journals: ArticlesWhy is the winner the best?
Working Papers: Preprint Papers- [ONLINE] DOI: https://doi.org/10.48550/arXiv.2303.17719
Dimension mixture model: Group Mixing of Input Dimensions for Efficient Function Approximation
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE] Stream of presentation
UNet-eVAE: Iterative Refinement Using VAE Embodied Learning for Endoscopic Image Segmentation
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE] DOI: https://doi.org/10.1007/978-3-031-21014-3_17
- [ONLINE] View publication in Scopus
Label Geometry Aware Discriminator for Conditional GAN
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE] DOI: https://doi.org/10.1109/ICPR56361.2022.9956292
MoBYv2AL: Self-supervised Active Learning for Image Classification
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE] https://bmvc2022.mpi-inf.mpg.de/674/
- [ONLINE] DOI: https://doi.org/10.48550/arXiv.2301.01531
NepBERTa: Nepali Language Model Trained in a Large Corpus
Chapters in Books, Reports and Conference Proceedings: Conference ProceedingsGeneralized Product of Experts for Learning Multimodal Representations in Noisy Environments
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE] DOI: https://doi.org/10.1145/3536221.3556596