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Dr Binod Bhattarai

Dr Binod Bhattarai
Dr Binod Bhattarai
Dr Binod Bhattarai

Lecturer

Accepting PhDs

About
School/Department
School of Natural and Computing Sciences
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ResearchGate
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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

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 PhDs
View Research Area

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

Teaching Responsibilities

  • Principles and Practice of Database Systems
  • Foundations in Artificial Intelligence
Publications

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  • Task-Aware Active Learning for Endoscopic Polyp Segmentation

    Poudel, P., Thapa, S. K., Regmi, S., Bhattarai, B., Stoyanov, D.
    Chapters in Books, Reports and Conference Proceedings: Conference Proceedings

  • T2FNorm: Train-time Feature Normalization for OOD Detection in Image Classification

    Regmi, S., Panthi, B., Dotel, S., Gyawali, P. K., Stoyanov, D., Bhattarai, B.
    Chapters in Books, Reports and Conference Proceedings: Conference Proceedings

  • IEdit: Localised Text-guided Image Editing with Weak Supervision

    Bodur, R., Gundogdu, E., Bhattarai, B., Kim, T. K., Donoser, M., Bazzani, L.
    Chapters in Books, Reports and Conference Proceedings: Conference Proceedings

  • ReweightOOD: Loss Reweighting for Distance-based OOD Detection

    Regmi, S., Panthi, B., Ming, Y., Gyawali, P. K., Stoyanov, D., Bhattarai, B.
    Chapters in Books, Reports and Conference Proceedings: Conference Proceedings

  • Active Label Refinement for Robust Training of Imbalanced Medical Image Classification Tasks in the Presence of High Label Noise

    Khanal, B., Dai, T., Bhattarai, B., Linte, C. A.
    Contributions to Conferences: Papers

  • CAR-MFL: Cross-Modal Augmentation by Retrieval for Multimodal Federated Learning with Missing Modalities

    Poudel, P., Shrestha, P., Amgain, S., Shrestha, Y. R., Gyawali, P., Bhattarai, B.
    Contributions to Conferences: Papers

  • TE-SSL: Time and Event-aware Self Supervised Learning for Alzheimer’s Disease Progression Analysis

    Thrasher, J., Devkota, A., Tafti, A. P., Bhattarai, B., Gyawali, P.
    Contributions to Conferences: Papers

  • Prompt Augmentation for Self-supervised Text-guided Image Manipulation

    Bodur, R., Bhattarai, B., Kim, T.
    Chapters in Books, Reports and Conference Proceedings: Conference Proceedings

  • TextAug: Test Time Text Augmentation for Multimodal Person Re-Identification

    Fawakherji, M., Vazquez, E., Giampa, P., Bhattarai, B.
    Chapters in Books, Reports and Conference Proceedings: Conference Proceedings

  • Placental vessel segmentation and registration in fetoscopy: Literature review and MICCAI FetReg2021 challenge findings

    Bano, S., Casella, A., Vasconcelos, F., Qayyum, A., Benzinou, A., Mazher, M., Meriaudeau, F., Lena, C., Cintorrino, I. A., De Paolis, G. R., Biagioli, J., Grechishnikova, D., Jiao, J., Bai, B., Qiao, Y., Bhattarai, B., Gaire, R. R., Subedi, R., Vazquez, E., Płotka, S., Lisowska, A., Sitek, A., Attilakos, G., Wimalasundera, R., David, A. L., Paladini, D., Deprest, J., De Momi, E., Mattos, L. S., Moccia, S., Stoyanov, D.
    Medical Image Analysis, vol. 92, pp. 103066
    Contributions to Journals: Review articles

  • M-VAAL: Multimodal Variational Adversarial Active Learning for Downstream Medical Image Analysis Tasks

    Khanal, B., Bhattarai, B., Khanal, B., Stoyanov, D., Linte, C. A.
    Chapters in Books, Reports and Conference Proceedings: Conference Proceedings

  • Neural Network Pruning for Real-Time Polyp Segmentation

    Sapkota, S., Poudel, P., Regmi, S., Panthi, B., Bhattarai, B.
    Chapters in Books, Reports and Conference Proceedings: Conference Proceedings

  • Dimension Mixer: A Generalized Method for Structured Sparsity in Deep Neural Networks

    Sapkota, S., Bhattarai, B.
    Working Papers: Preprint Papers

  • Bimodal Camera Pose Prediction for Endoscopy

    Rau, A., Bhattarai, B., Agapito, L., Stoyanov, D.
    IEEE Transactions on Medical Robotics and Bionics, vol. 5, no. 4, pp. 978-989
    Contributions to Journals: Articles

  • Task-Guided Domain Gap Reduction for Monocular Depth Prediction in Endoscopy

    Rau, A., Bhattarai, B., Agapito, L., Stoyanov, D.
    Chapters in Books, Reports and Conference Proceedings: Conference Proceedings

  • A Client-Server Deep Federated Learning for Cross-Domain Surgical Image Segmentation

    Subedi, R., Gaire, R. R., Ali, S., Nguyen, A., Stoyanov, D., Bhattarai, B.
    Chapters in Books, Reports and Conference Proceedings: Conference Proceedings

  • Improving Medical Image Classification in Noisy Labels Using only Self-supervised Pretraining

    Khanal, B., Bhattarai, B., Khanal, B., Linte, C. A.
    Chapters in Books, Reports and Conference Proceedings: Conference Proceedings

  • CholecTriplet2022: Show me a tool and tell me the triplet — An endoscopic vision challenge for surgical action triplet detection

    Nwoye, C. I., Yu, T., Sharma, S., Murali, A., Alapatt, D., Vardazaryan, A., Yuan, K., Hajek, J., Reiter, W., Yamlahi, A., Smidt, F. H., Zou, X., Zheng, G., Oliveira, B., Torres, H. R., Kondo, S., Kasai, S., Holm, F., Özsoy, E., Gui, S., Li, H., Raviteja, S., Sathish, R., Poudel, P., Bhattarai, B., Wang, Z., Rui, G., Schellenberg, M., Vilaça, J. L., Czempiel, T., Wang, Z., Sheet, D., Thapa, S. K., Berniker, M., Godau, P., Morais, P., Regmi, S., Tran, T. N., Fonseca, J., Nölke, J. H., Lima, E., Vazquez, E., Maier-Hein, L., Navab, N., Mascagni, P., Seeliger, B., Gonzalez, C., Mutter, D., Padoy, N.
    Contributions to Journals: Short Survey

  • Preface DEMI 2023: Data Engineering in Medical Imaging

    Bhattarai, B., Ali, S., Rau, A., Nguyen, A., Namburete, A., Caramalau, R., Stoyanov, D.
    Chapters in Books, Reports and Conference Proceedings: Conference Proceedings

  • Why is the Winner the Best?

    Eisenmann, M., Reinke, A., Weru, V., Tizabi, M. D., Isensee, F., Adler, T. J., Ali, S., Andrearczyk, V., Aubreville, M., Baid, U., Bakas, S., Balu, N., Bano, S., Bernal, J., Bodenstedt, S., Casella, A., Cheplygina, V., Daum, M., De Bruijne, M., Depeursinge, A., Dorent, R., Egger, J., Ellis, D. G., Engelhardt, S., Ganz, M., Ghatwary, N., Girard, G., Godau, P., Gupta, A., Hansen, L., Harada, K., Heinrich, M., Heller, N., Hering, A., Huaulmé, A., Jannin, P., Kavur, A. E., Kodym, O., Kozubek, M., Li, J., Li, H., Ma, J., Martín-Isla, C., Menze, B., Noble, A., Oreiller, V., Padoy, N., Pati, S., Payette, K., Rädsch, T., Rafael-Patiño, J., Bawa, V. S., Speidel, S., Sudre, C. H., Van Wijnen, K., Wagner, M., Wei, D., Yamlahi, A., Yap, M. H., Yuan, C., Zenk, M., Zia, A., Zimmerer, D., Aydogan, D., Bhattarai, B., Bloch, L., Brüngel, R., Cho, J., Choi, C., Dou, Q., Ezhov, I., Friedrich, C. M., Fuller, C., Gaire, R. R., Galdran, A., García Faura, A., Grammatikopoulou, M., Hong, S., Jahanifar, M., Jang, I., Kadkhodamohammadi, A., Kang, I., Kofler, F., Kondo, S., Kuijf, H., Li, M., Luu, M., Martinčič, T., Morais, P., Naser, M. A., Oliveira, B., Owen, D., Pang, S., Park, J., Park, S., Płotka, S., Puybareau, E., Rajpoot, N., Ryu, K., Saeed, N., Shephard, A., Shi, P., Štepec, D., Subedi, R., Tochon, G., Torres, H. R., Urien, H., Vilaça, J. L., Wahid, K. A., Wang, H., Wang, J., Wang, L., Wang, X., Wiestler, B., Wodzinski, M., Xia, F., Xie, J., Xiong, Z., Yang, S., Yang, Y., Zhao, Z., Maier-Hein, K., Jäger, P. F., Kopp-Schneider, A., Maier-Hein, L.
    Chapters in Books, Reports and Conference Proceedings: Conference Proceedings

  • Task-Aware Active Learning for Endoscopic Polyp Segmentation

    Thapa, S. K., Poudel, P., Regmi, S., Bhattarai, B., Stoyanov, D.
    Working Papers: Preprint Papers

  • Joint Training of Hierarchical GANs and Semantic Segmentation for Expression Translation

    Bodur, R., Bhattarai, B., Kim, T. K.
    Chapters in Books, Reports and Conference Proceedings: Conference Proceedings

  • Histogram of Oriented Gradients Meet Deep Learning: A Novel Multi-task Deep Network for Medical Image Semantic Segmentation

    Bhattarai, B., Subedi, R., Gaire, R. R., Vazquez, E., Stoyanov, D.
    Medical Image Analysis, vol. 85, 102747
    Contributions to Journals: Articles

  • Why is the winner the best?

    Eisenmann, M., Reinke, A., Weru, V., Tizabi, M. D., Isensee, F., Adler, T. J., Ali, S., Andrearczyk, V., Aubreville, M., Baid, U., Bakas, S., Balu, N., Bano, S., Bernal, J., Bodenstedt, S., Casella, A., Cheplygina, V., Daum, M., Bruijne, M. d., Depeursinge, A., Dorent, R., Egger, J., Ellis, D. G., Engelhardt, S., Ganz, M., Ghatwary, N., Girard, G., Godau, P., Gupta, A., Hansen, L., Harada, K., Heinrich, M., Heller, N., Hering, A., Huaulmé, A., Jannin, P., Kavur, A. E., Kodym, O., Kozubek, M., Li, J., Li, H., Ma, J., Martín-Isla, C., Menze, B., Noble, A., Oreiller, V., Padoy, N., Pati, S., Payette, K., Rädsch, T., Rafael-Patiño, J., Bawa, V. S., Speidel, S., Sudre, C. H., Wijnen, K. v., Wagner, M., Wei, D., Yamlahi, A., Yap, M. H., Yuan, C., Zenk, M., Zia, A., Zimmerer, D., Aydogan, D. B., Bhattarai, B., Bloch, L., Brüngel, R., Cho, J., Choi, C., Dou, Q., Ezhov, I., Friedrich, C. M., Fuller, C., Gaire, R. R., Galdran, A., Faura, ?. G., Grammatikopoulou, M., Hong, S., Jahanifar, M., Jang, I., Kadkhodamohammadi, A., Kang, I., Kofler, F., Kondo, S., Kuijf, H., Li, M., Luu, M. H., Martinčič, T., Morais, P., Naser, M. A., Oliveira, B., Owen, D., Pang, S., Park, J., Park, S., Płotka, S., Puybareau, E., Rajpoot, N., Ryu, K., Saeed, N., Shephard, A., Shi, P., Štepec, D., Subedi, R., Tochon, G., Torres, H. R., Urien, H., Vilaça, J. L., Wahid, K. A., Wang, H., Wang, J., Wang, L., Wang, X., Wiestler, B., Wodzinski, M., Xia, F., Xie, J., Xiong, Z., Yang, S., Yang, Y., Zhao, Z., Maier-Hein, K., Jäger, P. F., Kopp-Schneider, A., Maier-Hein, L.
    Working Papers: Preprint Papers

  • Dimension mixture model: Group Mixing of Input Dimensions for Efficient Function Approximation

    Sapkota, S., Bhattarai, B.
    Chapters in Books, Reports and Conference Proceedings: Conference Proceedings

  • UNet-eVAE: Iterative Refinement Using VAE Embodied Learning for Endoscopic Image Segmentation

    Gupta, S., Ali, S., Zhang, X., Bhattarai, B., Rittscher, J., Turney, B.
    Chapters in Books, Reports and Conference Proceedings: Conference Proceedings

  • Label Geometry Aware Discriminator for Conditional GAN

    Sapkota, S., Khanal, B., Bhattarai*, B., Khanal, B., Kim, T.
    Chapters in Books, Reports and Conference Proceedings: Conference Proceedings

  • MoBYv2AL: Self-supervised Active Learning for Image Classification

    Caramalau, R., Bhattarai, B., Stoyanov, D., Kim, T.
    Chapters in Books, Reports and Conference Proceedings: Conference Proceedings

  • NepBERTa: Nepali Language Model Trained in a Large Corpus

    Timilsina, S., Gautam, M., Bhattarai, B.
    Chapters in Books, Reports and Conference Proceedings: Conference Proceedings

  • Generalized Product of Experts for Learning Multimodal Representations in Noisy Environments

    Joshi, A., Gupta, N., Shah, J., Bhattarai*, B., Modi, A., Stoyanov, D.
    Chapters in Books, Reports and Conference Proceedings: Conference Proceedings

  • Noisy Heuristics NAS: A Network Morphism based Neural Architecture Search using Heuristics

    Sapkota, S., Bhattarai, B.
    Contributions to Conferences: Papers

  • SeCGAN: Parallel Conditional Generative Adversarial Networks for Face Editing via Semantic Consistency

    Sun, J., Bhattarai, B., Chen, Z., Kim, T.
    The Computer Vision and Pattern Recognition Conference
    Contributions to Conferences: Posters

  • Task-Aware Active Learning for Endoscopic Image Analysis

    Thapa, S. K., Poudel, P., Bhattarai, B., Stoyanov, D.
    Working Papers: Working Papers

  • A Unified Architecture of Semantic Segmentation and Hierarchical Generative Adversarial Networks for Expression Manipulation

    Bodur, R., Bhattarai, B., Kim, T.
    Working Papers: Working Papers

  • Sequential Graph Convolutional Network for Active Learning

    Caramalau, R., Bhattarai, B., Kim, T.
    Chapters in Books, Reports and Conference Proceedings: Conference Proceedings

  • Brand Label Albedo Extraction of eCommerce Products using Generative Adversarial Network

    Sapkota, S., Juneja, M., Keleras, L., Kotwal, P., Bhattarai, B.
    Contributions to Conferences: Papers

  • Face Parsing from RGB and Depth Using Cross-Domain Mutual Learning

    Lee, J., Bhattarai, B., Kim, T.
    Chapters in Books, Reports and Conference Proceedings: Conference Proceedings

  • Input Invex Neural Network

    Sapkota, S., Bhattarai, B.
    Working Papers: Preprint Papers

  • 3D Dense Geometry-Guided Facial Expression Synthesis by Adversarial Learning

    Bodur, R., Bhattarai, B., Kim, T.
    Chapters in Books, Reports and Conference Proceedings: Conference Proceedings

  • Visual Transformer for Task-aware Active Learning

    Caramalau, R., Bhattarai, B., Kim, T.
    Working Papers: Preprint Papers

  • Active Learning for Bayesian 3D Hand Pose Estimation

    Caramalau, R., Bhattarai, B., Kim, T.
    Chapters in Books, Reports and Conference Proceedings: Conference Proceedings

  • Inducing optimal attribute representations for conditional GANs

    Bhattarai, B., Kim, T.
    Chapters in Books, Reports and Conference Proceedings: Conference Proceedings

  • Additive Angular Margin for Few Shot Learning to Classify Clinical Endoscopy Images

    Ali, S., Bhattarai, B., Kim, T., Rittscher, J.
    Chapters in Books, Reports and Conference Proceedings: Conference Proceedings

  • MatchGAN: A Self-Supervised Semi-Supervised Conditional Generative Adversarial Network

    Sun, J., Bhattarai, B., Kim, T.
    Chapters in Books, Reports and Conference Proceedings: Conference Proceedings

  • Sampling Strategies for GAN Synthetic Data

    Bhattarai, B., Baek, S., Bodur, R., Kim, T.
    Chapters in Books, Reports and Conference Proceedings: Conference Proceedings

  • AugLabel: Exploiting Word Representations to Augment Labels for Face Attribute Classification

    Bhattarai, B., Bodur, R., Kim, T.
    Working Papers: Preprint Papers

  • Semi-supervised adversarial learning to generate photorealistic face images of new identities from 3D morphable model

    Gecer, B., Bhattarai, B., Kittler, J., Kim, T.
    Chapters in Books, Reports and Conference Proceedings: Conference Proceedings

  • A joint learning approach for cross domain age estimation

    Bhattarai, B., Sharma, G., Lechervy, A., Jurie, F.
    Chapters in Books, Reports and Conference Proceedings: Conference Proceedings

  • Cp-mtml: Coupled projection multi-task metric learning for large scale face retrieval

    Bhattarai, B., Sharma, G., Jurie, F.
    Chapters in Books, Reports and Conference Proceedings: Conference Proceedings

  • Deep fusion of visual signatures for client-server facial analysis

    Bhattarai, B., Sharma, G., Jurie, F.
    Chapters in Books, Reports and Conference Proceedings: Conference Proceedings

  • Some faces are more equal than others: Hierarchical organization for accurate and efficient large-scale identity-based face retrieval

    Bhattarai, B., Sharma, G., Jurie, F., Pérez, P.
    Chapters in Books, Reports and Conference Proceedings: Conference Proceedings

  • Puzzling face verification algorithms for privacy protection

    Bhattarai, B., Mignon, A., Jurie, F., Furon, T.
    Chapters in Books, Reports and Conference Proceedings: Conference Proceedings

  • Crosslingual Distributed Representations of Words

    Klementiev, A., Titov, I., Bhattarai, B.
    NIPS 2012 Workshop on Deep Learning
    Contributions to Conferences: Posters

  • Inducing crosslingual distributed representations of words

    Klementiev, A., Titov, I., Bhattarai, B.
    Chapters in Books, Reports and Conference Proceedings: Conference Proceedings

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