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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Page 1 of 3 Results 1 to 25 of 69
Estimating 2D Keypoints of Surgical Tools Using Vision-Language Models with Low-Rank Adaptation
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE] DOI: https://doi.org/10.1007/978-3-032-08009-7_20
- [ONLINE] View publication in Scopus
A Benchmark for Hallucination Detection in VLMs for Gastrointestinal Endoscopy
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE] DOI: https://doi.org/10.48550/arXiv.2606.24115
FlexiAvatar: Unified 3D Gaussian Human Avatars Under Arbitrary Body Visibility
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE] DOI: https://doi.org/10.48550/arXiv.2607.19100
ProMoE-FL: Prototype-conditioned Mixture of Experts for Multimodal Federated Learning with Missing Modalities
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE] DOI: https://doi.org/10.48550/arXiv.2607.06633
SAGE: An Expert-Annotated South Asian GI Endoscopy Dataset for Multimodal Learning and Hallucination Analysis
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE] DOI: https://doi.org/10.48550/arXiv.2606.22144
FedVG: Gradient-Guided Aggregation for Enhanced Federated Learning
Contributions to Conferences: PapersHandVQA: Diagnosing and Improving Fine-Grained Spatial Reasoning about Hands in Vision-Language Models
Contributions to Conferences: Papers- [ONLINE] DOI: https://doi.org/10.48550/arXiv.2603.26362
- [ONLINE] https://arxiv.org/abs/2603.26362
Out-of-Distribution Detection in Gastrointestinal Vision by Estimating Nearest Centroid Distance Deficit
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE] DOI: https://doi.org/10.1007/978-3-031-98691-8_14
- [ONLINE] View publication in Scopus
NERO: Explainable Out-of-Distribution Detection with Neuron-level Relevance in Gastrointestinal Imaging
Contributions to Conferences: Papers- [ONLINE] DOI: https://doi.org/10.48550/arXiv.2506.15404
- [OPEN ACCESS] https://aura.abdn.ac.uk/bitstreams/14793565-22c1-4fc8-9929-c1aefbc54efa/download
- [ONLINE] Conference home page
Hallucination-Aware Multimodal Benchmark for Gastrointestinal Image Analysis with Large Vision-Language Models
Contributions to Conferences: Papers- [ONLINE] DOI: https://doi.org/10.48550/arXiv.2505.07001
- [OPEN ACCESS] https://aura.abdn.ac.uk/bitstreams/02b011ac-c634-459a-8f31-6ca38536b5af/download
- [ONLINE] Conference webpage
Hallucination-Aware Multimodal Benchmark for Gastrointestinal Image Analysis with Large Vision-Language Models
Working Papers: Preprint PapersDimension Mixer: Group Mixing of Input Dimensions for Efficient Function Approximation
The Second Conference on Parsimony and LearningContributions to Conferences: PostersMultimodal Federated Learning With Missing Modalities through Feature Imputation Network
Chapters in Books, Reports and Conference Proceedings: Conference ProceedingsGuide3D: A Bi-planar X-ray Dataset for 3D Shape Reconstruction
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE] DOI: https://doi.org/10.1007/978-981-96-0917-8_21
- [ONLINE] View publication in Scopus
NCDD: Nearest Centroid Distance Deficit for Out-Of-Distribution Detection in Gastrointestinal Vision
Working Papers: Preprint PapersTask-Aware Active Learning for Endoscopic Polyp Segmentation
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE] DOI: https://doi.org/10.1007/978-3-031-73748-0_16
TE-SSL: Time and Event-aware Self Supervised Learning for Alzheimer’s Disease Progression Analysis
Chapters in Books, Reports and Conference Proceedings: Conference ProceedingsActive 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
Chapters in Books, Reports and Conference Proceedings: Conference ProceedingsiEdit: Localised Text-guided Image Editing with Weak Supervision
Chapters in Books, Reports and Conference Proceedings: Conference ProceedingsReweightOOD: 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 articles
