Binod Bhattarai, PhD
Lecturer, University of Aberdeen, Aberdeen, UK
Honorary Lecturer, University College London, UK
Email: binod.bhattarai@abdn.ac.uk
I am a Lecturer (equivalent to Assistant Professor in the US) in the Natural and Computing School at the University of Aberdeen , and I am also a Co-founder and an Adjunct Research Scientist at NAAMII, Nepal. My research interests include machine learning, computer vision, and medical image analysis.
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
Short CV:
Dec 2022 - Now, Lecturer (Assistant Professor), University of Aberdeen, UK
Dec 2022 - Now, Honoarary Lecturer, University College London, UK
July 2021 - Dec 2022, Senior Research Fellow, University College London, UK
July 2021 - July 2022, Visiting Researcher, Imperial College London, UK
Dec. 2017 - July 2021, Research Associate, Imperial College London, UK
Aug. 2016 - Dec. 2017, Data Scientist, Telenor Group, Norway
May 2013 - Aug. 2016, PhD Student, Normandie Universite, France
Research Interests:
Machine Learning
Computer Vision
Medical Image Analysis
Natural Language Processing
Professional Activities :
Program Chair, MIUA 2025
Lead organizer, Workshop on "Data Engineering in Medical Imaging (DEMI)" at MICCAI 2024
Lead organizer, Workshop on "Data Engineering in Medical Imaging (DEMI)" at MICCAI 2023
Program Co-chair Fourth Nepal Winter School in AI, 2021
General Co-chair Third Nepal Winter School in AI, 2021
General Co-chair Second Nepal Winter School in AI, 2019
Program Chair First Nepal Winter School in AI, 2018
Paper Selection Chair: BMVC (2023)
Senior Program Committee: AAAI (2023, 2024)
Reviewer: IJCV (2016, 2018) , T-PAMI (2020)
CVPR (2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023) , NeurIPS (2020, 2021), ICML (2021, 2022 ,2023)
ICCV (2017, 2019, 2021, 2023) , ECCV (2016, 2018, 2020), ICLR (2021, 2022, 2023)
AAAI (2020, 2021, 2022), BMVC (2018, 2019, 2020, 2021,2022) , ACCV (2018, 2020)
MVA (2016), CVIU (2019), ICPR (2020), WACV (2021, 2022)
Teaching:
Principles and Practice of Database Systems, University of Aberdeen, UK, 2023/ 2024
Foundations in Artificial Intelligence, University of Aberdeen, UK, 2023/2024
Principles and Practice of Database Systems, University of Aberdeen, UK, 2022/ 2023
Speaker at Fourth Nepal Winter School in AI, Dec, 2019, Pokhara, Nepal
Speaker at Second Nepal Winter School in AI, Dec, 2019, Pokhara, Nepal
Teaching Assistant, Selected Topics in Computer Vision at EEE Department, Imperial College London, 2019
Speaker at First Nepal Winter School in AI, Dec, 2018, Kathmandu, Nepal
Teaching Assistant, Machine Learning for Computer Vision at EEE Department, Imperial College London, 2018
Grants:
Co-PI, Non-constrast CT Head Image Analysis, The Ronald Sutton Academic Trust, 30.8K GBP, 2024-27
Co-PI, SimUP funded by SULSA Pooling Network, 4K GBP, 2024-2025
Co-PI, Cor-AI funded by SERI, Switzerland 35K CHF, 2024-2025
PI, Frontiers Seed Funding by the Royal Academy of Engineering, 20K GBP, 2023-2024
5K + 5K USD Google Cloud Platform Research Credits
DAAD Postdoc Net-AI-Fellow, 2020 (top 22 out of 192)
Awards:
Runner-up, ARCADE Challenge, MICCAI 2023
Google Cloud Research Innovator, 2022
Outstanding Reviewer Award, BMVC, 2021
Winner (2K USD) FetReg Endoscopic Vision Challenge at MICCAI 2021
Outstanding Reviewer Award, BMVC, 2019
Best Student Paper Award of Image, Video and Multidimensional Signal Processing, ICASSP, 2016
Best Paper Award Runner up, ACM ICVGIP, 2016
Pre-prints:
Thrasher, Jacob, Alina Devkota, Prasiddha Siwakotai, Rohit Chivukula, Pranav Poudel, Chaunbo Hu, Binod Bhattarai, and Prashnna Gyawali. "Multimodal Federated Learning in Healthcare: a review." arXiv preprint arXiv:2310.09650 (2023).
Caramalau, R. Bhattarai, B. and Kim, T-K Visual Transformer for Task-Aware Active Learning [arXiv] 2021 [Code]
Sapkota, S. Bhattarai, B. Input Invex Neural Network [Arxiv] 2021 [Code]
Publications: (* indicates corresponding author)
2024
Bodur R., Bhattarai, B., Kim, T-K "Prompt Augmentation for Self-supervised Text-guided Image Manipulation" CVPR 2024
Bodur, R., Gundogdu, E., Bhattarai, B., Kim, T-K, Bazzani, L., iEdit: Localilised Text-guided Image Editing with Weak Supervision, Generative Models for Computer Vision CVPR 2024
Regmi, S., Panthi, B., Dotel, S., Gyawali, PK, Stoyanov, D. Bhattarai, B. ReweightOOD: Loss Reweighting for Distance-based OOD Detection Fair, Data-efficient and Trusted CV CVPR 2024
Regmi, S., Panthi, B., Ming, Y., Gyawali, PK, Stoyanov, D. Bhattarai, B. T2FNorm: Extremely Simple Scaled Train-time Feature Normalization for OOD Detection Fair, Data-efficient and Trusted CV CVPR 2024
Jianu, T., Huang, B., Cong, H., Bhattarai, B., Do. T., Tjiputra E., Tran, Q., P., Berthet-Rayene, Le, N., Fichera, S., Nguyen, A., Guide3D: A bi-planar X-ray Dataset for Guidewire Segmentation and 3D Reconstruction, ACCV 2024
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
Khanal, B., Dai, T., Bhattarai B., Linte, C. Active Label Refinement for Robust Training of Imbalanced Medical Image Classification Tasks in the Presence of High Label Noise MICCAI 2024 (Joint senior co-author)
Thrasher J., Devkota A., Tafti A., Bhattarai, B., Gyawali P. TE-SSL: Time and Event-aware Self-Supervised Learning for Alzheimer's disease progression analysis MICCAI 2024
Thapa, S. K., Poudel, P., Regmi, S., Bhattarai*, B., & Stoyanov, D. Task-Aware Active Learning for Endoscopic Polyp Segmentation, Data Engineering in Medical Imaging, MICCAI 2024
Kang, J., Jianu, T., Huang, B., Bhattarai, B., Le, N., Coenen, F., & Nguyen, A. Translating Simulation Images to X-ray Images via Multi-Scale Semantic Matching. Data Engineering in Medical Imaging, MICCAI 2024
Pokhrel, S., Bhandari, S., Vasquez, E., Lambrou, T., Gyawali, P., Bhattarai, B. TTA-OOD: Test-time Augmentation for Improving Out-of-Distribution Detection in Gastrointestinal Vision, Data Engineering in Medical Imaging, MICCAI 2024
Pokhrel, S., Bhandari, S., Vasquez, E., Shrestha, YR, Bhattarai, B. Cross-task Data Augmentation by Pseudo-label Generation for Region-based Coronary Artery Instance Segmentation, Data Engineering in Medical Imaging, MICCAI 2024
Khanal, B., Shrestha P., Amgain, S., Khanal B., Bhattarai, B., Linte, C. Investigating the Robustness of Vision Transformers against Label Noise in Medical Image Classification IEEE EMBC 2024
Fawakherji M., Vasquez E., Giampa P., Bhattarai, B. TextAug: Test-Time Text Augmentation for Multimodal Person Re-identification WACV Workshops 2024
Amgain, S., Shrestha P., Bano S., Torres IV., Cunniffe, M., Hernandez V., Beales P., Bhattarai, B. Investigation of Federated Learning Algorithms for Retinal Optical Coherence Tomography Image Classification with Statistical Heterogeny IPCAI 2024
2023
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 (IF 13.83), 2023 [Code]
Chinedu Innocent Nwoye, Tong Yu, Saurav Sharma, Aditya Murali, Deepak Alapatt, Armine Vardazaryan, Kun Yuan, Jonas Hajek, Wolfgang Reiter, Amine Yamlahi, Finn-Henri Smidt, Xiaoyang Zou, Guoyan Zheng, Bruno Oliveira, Helena R Torres, Satoshi Kondo, Satoshi Kasai, Felix Holm, Ege Özsoy, Shuangchun Gui, Han Li, Sista Raviteja, Rachana Sathish, Pranav Poudel, Binod Bhattarai, Ziheng Wang, Guo Rui, Melanie Schellenberg, João L Vilaça, Tobias Czempiel, Zhenkun Wang, Debdoot Sheet, Shrawan Kumar Thapa, Max Berniker, Patrick Godau, Pedro Morais, Sudarshan Regmi, Thuy Nuong Tran, Jaime Fonseca, Jan-Hinrich Nölke, Estevão Lima, Eduard Vazquez, Lena Maier-Hein, Nassir Navab, Pietro Mascagni, Barbara Seeliger, Cristians Gonzalez, Didier Mutter, Nicolas Padoy CholecTriplet2022: Show me a tool and tell me the triplet--an endoscopic vision challenge for surgical action triplet detection Medical Image Analysis (IF 13.83), 2023
Sophia Bano, Alessandro Casella, Francisco Vasconcelos, Abdul Qayyum, Abdesslam Benzinou, Moona Mazher, Fabrice Meriaudeau, Chiara Lena, Ilaria Anita Cintorrino, Gaia Romana De Paolis, Jessica Biagioli, Daria Grechishnikova, Jing Jiao, Bizhe Bai, Yanyan Qiao, Binod Bhattarai, Rebati Raman Gaire, Ronast Subedi, Eduard Vazquez, Szymon Płotka, Aneta Lisowska, Arkadiusz Sitek, George Attilakos, Ruwan Wimalasundera, Anna L David, Dario Paladini, Jan Deprest, Elena De Momi, Leonardo S Mattos, Sara Moccia, Danail Stoyanov Placental Vessel Segmentation and Registration in Fetoscopy: Literature Review and MICCAI FetReg2021 Challenge Findings Medical Image Analysis (IF 13.83), 2023
Rau, A., Bhattarai, B., Agapito, L., & Stoyanov, D. Bimodal camera pose prediction for endoscopy Transactions on Medical Robotics and Bionics (IF 3.98), 2023.
Eisenmann, A., Reinke, A., Weru, Vivienn, ..... Bhattarai, B. ...... Maier-hein, A. Why is the winner the best? CVPR, 2023
Sapkota, S., Regmi, S., Poudel, P., Panthi, B., Bhattarai, B. Neural Network Prunning for Real-time Polyp Segmentation MIUA 2023 (Oral)
Khanal, B., Bhattarai, B., Khanal, B., Stoyanov, D., Linte, C. M-VAAL: Multimodal Variational Adversarial Active Learning for Downstream Medical Image Analysis Tasks MIUA 2023 (Oral)
Subedi, R., Gaire, R., Ali, S., Nguyen, A., Stoyanov, D., Bhattarai, B., A Client-server Deep Federated Learning for Cross-domain Surgical Image Segmentation, DEMI MICCAI 2023
Khanal, B., Bhattarai, B., Khanal, B., Linte, C., Improving Medical Image Classification in Noisy Labels Using Only Self-supervised Pretraining, DEMI MICCAI 2023
Rau, A., Bhattarai, B. , Lourdes, A., Stoyanov, D. Task-guided Domain Gap Reduction for Monocolular Depth Prediction in Endoscopy, DEMI MICCAI 2023
Bodur R., Bhattarai, B., Kim, T-K Joint Training of Hierarchical GANs and Semantic Segmentation for Expression Translation, ICCASP 2023
Sapkota, S., Bhattarai, B. Importance Estimation with Random Gradient for Neural Network Pruning, ICLR Workshops 2023
Sapkota, S. Bhattarai, B. Dimension mixture model: Group Mixing of Input Dimensions for Efficient Function Approximation, Workshop on Seeking Low-Dimensionality in Deep Neural Networks (Slow-DNN), Abu Dhabi, 2023
2022
Caramalau, R.; Bhattarai, B. ; Stoyanov, D., Kim, T-K; MoBYv2AL: Self-supervised Active Learning for Image Classification BMVC, 2022
Joshi, A., Gupta, N., Shah, J., Bhattarai*, B., Modi, A., Stoyanov, D., Generalized Product of Experts for Learning Multimodal Representations in Noisy Environments ACM ICMI, 2022 (Oral presentation)
Timilsina, S., Gautam, M., Bhattarai, B., NepBERTa: Nepali Language Model Trained on a Large Corpus, Asian Chapter of the Association of Computational Linguistics (AACL), 2022
Gupta, S., Ali, S., Xu, Z., Bhattarai, B., Turney, B., Rittscher, J. UNet-eVAE: Iterative Refinement Using VAE Embodied Learning for Endoscopic Image Segmentation MLMI- MICCAI, 2022
Sapkota, S. Bhattarai, B. Noisy Heuristics NAS: A Network Morphism based Neural Architecture Search using Heuristics, ICML Workshops 2022 [pdf]
Sun, J. Bhattarai, B. Chen Z. and Kim, T-K SeCGAN: Parallel Conditional Generative Adversarial Networks for Face Editing via Semantic Consistency, AI for Content Creation CVPR June 2022 [pdf],
Sapkota, S. , Khanal, B., Bhattarai*, B., Khanal, B., Kim, T-K Label Geometry Aware Discriminator for Conditional Generative Networks ICPR 2022 [Arxiv]
2021
Caramalau, R. Bhattarai, B. and Kim, T-K Sequential Graph Convolutional Network for Active Learning CVPR 2021 [Arxiv] [Code]
Lee, J., Bhattarai, B. and Kim, T-K Face Parsing from RGB and Depth Using Cross-Domain Mutual Learning AMFG CVPR 2021 [Pdf] [Code]
Caramalau, R. Bhattarai, B. and Kim, T-K Active Learning for Bayesian 3D Hand Pose Estimation WACV 2021 [Pdf] [Code]
Bodur R., Bhattarai, B., Kim, T-K 3D Dense Geometry-Guided Facial Expression Synthesis by Adversarial Learning WACV 2021 [Pdf][Code]
2020
Bhattarai, B. and Kim, T-K Inducing Optimal Attributes Representations for Conditional GANs ECCV, Aug., 2020 [pdf]
Sun, J. Bhattarai, B. and Kim, T-K MatchGAN: A Self-supervised Semi-supervised Conditional Generative Adversarial Network ACCV Nov. 2020 [pdf], [Code]
Ali, S., Bhattarai, B. , Kim, T-K, Rittscher, J. Additive Angular Margin for Few Shot Learning to Classify Clinical Endoscopy Images, MLMI-MICCAI Oct . 2020 [Arxiv]
Bhattarai, B*., Bodur R.*, Kim, T-K AugLabel: Exploiting Word Representations to Augment Labels for Face Attribute Classification, ICASSP, May, 2020 [pdf]
Bhattarai, B., Baek, S., Bodur, R., Kim, T-K Sampling Strategies for GAN Synthetic Data, ICASSP, May, 2020, [pdf]
2020--
Gecer, B. Bhattarai, B. Kittler, J. Kim, TK Semi-supervised Adversarial Learning to Generate Photorealistic Face Images of New Identities from 3D Morphable Model In European conference on Computer Vision (ECCV), Sept. 2018, Munich Germany [pdf] [Project page]
Bhattarai, B. Sharma, G. and Jurie, F. CP-mtML: Coupled Projection multi-task Metric Learning for Large Scale Face Retrieval CVPR, July 2016, Las Vegas, USA [pdf]
Bhattarai, B. Sharma, G. and Jurie, F. Deep fusion of visual signatures for client-server facial analysis (Best Paper Award runner up) ACM ICVGIP, Dec. 2016, Guwahati India [pdf]
Bhattarai, B. Sharma, G. Lechervy, A. and Jurie, F. A Joint Learning Approach for Cross Domain Age Estimation (Best Student Paper Award of Image, Video and Multidimensional Signal Processing) ICASSP, April 2016, Shanghai, China [pdf]
Bhattarai, B. Sharma, G. Jurie, F. and Perez, P. Some faces are more equal than others: Hierarchical organization for accurate and efficient large-scale identity-based face retrieval LBP ECCV, 2014, Zurich, Switzerland [pdf]
Bhattarai, B. Mignon, A. Jurie, F. and Furon, T. Puzzling Face Verification Algorithms for Privacy Protection IEEE WIFS, Dec 2014, Atlanta, USA [pdf]
Klementiev, A. Titov, I. and Bhattarai, B. Inducing Crosslingual Distributed Representations of Words, In International Conference on Computational Linguistics (COLING), Dec. 2012, Mumbai, India [pdf]
Klementiev, A. Titov, I. and Bhattarai, B. Crosslingual Distributed Representations of Words, Deep Learning NIPS, 2012, Tahoe Lake, USA [pdf]
Bhattarai, B. Development of face analysis approximation methods by machine learning , PhD Thesis, Dec. 2016 (Normandie University, France) [pdf]
Bhattarai, B. Inducing cross-lingual word representations, Masters Thesis, Jan. 2013 (Saarland University, Germany) [pdf]