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.Khanal, B.; Pokhrel, S.; Bhandari S., Rana, R.; Shrestha, N.; Gurung, RB; Linte Cristian, Watson A.; Shrestha YR; Bhattarai, B. "Hallucination-aware Multimodal Benchmark for Gastrointestinal Image Analysis with Large Vision-Language Models", MICCAI 2025 (Top 9% of 3,667 papers)
2. 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
3. Bodur R., Bhattarai, B., Kim, T-K "Prompt Augmentation for Self-supervised Text-guided Image Manipulation" CVPR 2024
4. 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
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
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.
Research 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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ReweightOOD: Loss Reweighting for Distance-based OOD Detection
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 Proceedings- [ONLINE] https://openaccess.thecvf.com/content/CVPR2024W/TCV2024/papers/Regmi_T2FNorm_Train-time_Feature_Normalization_for_OOD_Detection_in_Image_Classification_CVPRW_2024_paper.pdf
- [ONLINE] DOI: https://doi.org/10.1109/CVPRW63382.2024.00020
- [OPEN ACCESS] https://aura.abdn.ac.uk/bitstreams/299c5a55-c239-4ce5-b0df-9c56cd2d6bf9/download
- [ONLINE] View publication in Scopus
Prompt Augmentation for Self-supervised Text-guided Image Manipulation
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
- [ONLINE] AAM in UCL Repository
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
Dimension Mixer: A Generalized Method for Structured Sparsity in Deep Neural Networks
Working Papers: Preprint Papers- [ONLINE] DOI: https://doi.org/10.48550/arXiv.2311.18735
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
