I am a Lecturer (US equivalent Assistant Professor) in the Natural and Computing School of the University of Aberdeen and Co-founder and an Adjunct Research Scientist at NAAMII, Nepal. My research interests are 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 :

• 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:

• 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

Awards:

• Runner-up, ARCADE Challenge, MICCAI 2023

• 20K GBP Frontiers Seed Funding (PI), Royal Academy of Engineering, 2023

• Google Cloud Research Innovator, 2022

• Outstanding Reviewer Award, BMVC, 2021

• Winner (2K USD) FetReg Endoscopic Vision Challenge  at MICCAI 2021

• 5K + 5K USD Google Cloud Platform Research Credits

• DAAD Postdoc Net-AI-Fellow,  2020  (top 22 out of 192)

• 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). 

• Thapa, S. K., Poudel, P., Regmi, S., Bhattarai*, B., & Stoyanov, D. Task-Aware Active Learning for Endoscopic Polyp Segmentation, arXiv 2023

• 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. arXiv  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

• 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

• 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

• 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]