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Binod Bhattarai

Dr

 https://orcid.org/0000-0001-7171-6469
    • 454
      Citations
    20122023

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    • 2023

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

      Khanal, B., Bhattarai, B., Khanal, B., Stoyanov, D. & Linte, C. A., 2 Dec 2023, Medical Image Understanding and Analysis - 27th Annual Conference, MIUA 2023, Proceedings. Waiter, G., Leontidis, G., Morris, T., Lambrou, T., Oren, N. & Gordon, S. (eds.). Springer Science and Business Media Deutschland GmbH, p. 48-63 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14122 LNCS).

      Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

    • Neural Network Pruning for Real-Time Polyp Segmentation

      Sapkota, S., Poudel, P., Regmi, S., Panthi, B. & Bhattarai, B., 2 Dec 2023, Medical Image Understanding and Analysis - 27th Annual Conference, MIUA 2023, Proceedings. Waiter, G., Leontidis, G., Morris, T., Lambrou, T., Oren, N. & Gordon, S. (eds.). Springer Science and Business Media Deutschland GmbH, p. 298-309 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14122 LNCS).

      Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

    • 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., 1 Oct 2023, Data Engineering in Medical Imaging: First MICCAI Workshop, DEMI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings. Bhattarai, B., Ali, S., Rau, A., Nguyen, A., Namburete, A., Caramalau, R. & Stoyanov, D. (eds.). Cham: Springer , p. 21-33 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14314 LNCS).

      Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

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

      Khanal, B., Bhattarai, B., Khanal, B. & Linte, C. A., 1 Oct 2023, DEMI 2023: Data Engineering in Medical Imaging. Bhattarai, B., Ali, S., Rau, A., Nguyen, A., Namburete, A., Caramalau, R. & Stoyanov, D. (eds.). Springer Science and Business Media Deutschland GmbH, p. 78-90 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14314 LNCS).

      Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

      1 Citation (Scopus)

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

      Rau, A., Bhattarai, B., Agapito, L. & Stoyanov, D., 1 Oct 2023, Data Engineering in Medical Imaging: First MICCAI Workshop, DEMI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings. Bhattarai, B., Ali, S., Rau, A., Nguyen, A., Namburete, A., Caramalau, R. & Stoyanov, D. (eds.). Springer Science and Business Media Deutschland GmbH, p. 111-122 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14314 LNCS).

      Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

    • Preface DEMI 2023: Data Engineering in Medical Imaging

      Bhattarai, B., Ali, S., Rau, A., Nguyen, A., Namburete, A., Caramalau, R. & Stoyanov, D., Oct 2023, Data Engineering in Medical Imaging: First MICCAI Workshop, DEMI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings. Springer , p. v 1 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14314).

      Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

    • 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., & 105 othersDorent, 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., 22 Aug 2023, Proceedings - 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2023. IEEE Computer Society, p. 19955-19966 12 p.

      Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

      6 Citations (Scopus)

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

      Bodur, R., Bhattarai, B. & Kim, T. K., 5 May 2023, ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing. IEEE Computer Society, 5 p. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings).

      Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

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

      Sapkota, S. & Bhattarai, B., 5 Jan 2023, (E-pub ahead of print) Workshop on Seeking Low-Dimensionality in Deep Neural Networks.

      Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

    • 2022

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

      Gupta, S., Ali, S., Zhang, X., Bhattarai, B. & Rittscher, J., 16 Dec 2022, Machine Learning in Medical Imaging: 13th International Workshop, MLMI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings. Springer Nature, p. 161-170 10 p. (Lecture Notes in Computer Science).

      Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

    • Label Geometry Aware Discriminator for Conditional GAN

      Sapkota, S., Khanal, B., Bhattarai*, B., Khanal, B. & Kim, T-K., 29 Nov 2022, 2022 26th International Conference on Pattern Recognition (ICPR). IEEE Computer Society, 7 p. (Proceedings of ICPR).

      Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

    • MoBYv2AL: Self-supervised Active Learning for Image Classification

      Caramalau, R., Bhattarai, B., Stoyanov, D. & Kim, T-K., 24 Nov 2022, 33rd British Machine Vision Conference 2022: (BMVC) 2022, London, UK, November 21-24, 2022. BMVA, 13 p.

      Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

      Open Access

    • NepBERTa: Nepali Language Model Trained in a Large Corpus

      Timilsina, S., Gautam, M. & Bhattarai, B., 20 Nov 2022, Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing: (Volume 2: Short Papers). Association for Computational Linguistics (ACL), Vol. 2. p. 273-284 12 p.

      Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

      Open Access
      File

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

      Joshi, A., Gupta, N., Shah, J., Bhattarai*, B., Modi, A. & Stoyanov, D., 7 Nov 2022, ICMI '22: Proceedings of the 2022 International Conference on Multimodal Interaction. ACM, p. 83-93 11 p.

      Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

      2 Citations (Scopus)
    • 2021

      Sequential Graph Convolutional Network for Active Learning

      Caramalau, R., Bhattarai, B. & Kim, T-K., 2 Nov 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE Explore, p. 9578-9587 10 p. (Conference on Computer Vision and Pattern Recognition (CVPR)).

      Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

      Open Access
      55 Citations (Scopus)

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

      Lee, J., Bhattarai, B. & Kim, T-K., 1 Sept 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). IEEE Explore, p. 1501-1510 10 p. (IEEE Computer Society Conference on Computer Vision and Pattern Recognition workshops).

      Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

      3 Citations (Scopus)

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

      Bodur, R., Bhattarai, B. & Kim, T-K., 14 Jun 2021, 2021 IEEE Winter Conference on Applications of Computer Vision (WACV). IEEE Explore, 10 p. (IEEE Workshop on Applications of Computer Vision).

      Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

      3 Citations (Scopus)

    • Active Learning for Bayesian 3D Hand Pose Estimation

      Caramalau, R., Bhattarai, B. & Kim, T-K., 14 Jan 2021, 2021 IEEE Winter Conference on Applications of Computer Vision (WACV): 03-08 January 2021. IEEE Explore, p. 3418-3427 10 p. (IEEE Workshop on Applications of Computer Vision).

      Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

      Open Access
      10 Citations (Scopus)
    • 2020

      Inducing optimal attribute representations for conditional GANs

      Bhattarai, B. & Kim, T-K., 9 Nov 2020, European Conference on Computer Vision (ECCV 2020). Springer , p. 69-85 17 p. (Lecture Notes in Computer Science; vol. 12352).

      Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

      5 Citations (Scopus)

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

      Ali, S., Bhattarai, B., Kim, T-K. & Rittscher, J., 29 Sept 2020, Machine Learning in Medical Imaging. MLMI 2020. Springer , p. 494-503 9 p. (Lecture Notes in Computer Science; vol. 12436).

      Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

      5 Citations (Scopus)

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

      Sun, J., Bhattarai, B. & Kim, T-K., 2020, Computer Vision - ACCV 2020. Springer , 16 p. (Lecture Notes in Computer Science; vol. 12625).

      Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

      1 Citation (Scopus)

    • Sampling Strategies for GAN Synthetic Data

      Bhattarai, B., Baek, S., Bodur, R. & Kim, T-K., 2020, 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). p. 2303-2307 5 p.

      Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

      18 Citations (Scopus)
    • 2018

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

      Gecer, B., Bhattarai, B., Kittler, J. & Kim, T-K., 2018, ECCV 2018; European Conference on Computer Vision. Springer , p. 230-248 18 p. (Lecture Notes in Computer Science; vol. 11215).

      Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

      11 Citations (Scopus)
    • 2016

      A joint learning approach for cross domain age estimation

      Bhattarai, B., Sharma, G., Lechervy, A. & Jurie, F., 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE Explore, p. 1901-1905 5 p.

      Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

      6 Citations (Scopus)

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

      Bhattarai, B., Sharma, G. & Jurie, F., 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Computer Vision Foundation (CVF), p. 4226-4235 10 p.

      Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

      Open Access
      40 Citations (Scopus)

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

      Bhattarai, B., Sharma, G. & Jurie, F., 2016, Tenth Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP 2016).

      Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

      Open Access
    • 2015

      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., 2015, Computer Vision - ECCV 2014 Workshops . Agapito, L., Bronstein, M. & Rother, C. (eds.). Springer , p. 160-172 13 p. (Lecture Notes in Computer Scienc; vol. 8926).

      Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

      9 Citations (Scopus)
    • 2014

      Puzzling face verification algorithms for privacy protection

      Bhattarai, B., Mignon, A., Jurie, F. & Furon, T., 2014, 2014 IEEE International Workshop on Information Forensics and Security (WIFS). IEEE Explore, p. 66-71 6 p.

      Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

      12 Citations (Scopus)
    • 2012

      Inducing crosslingual distributed representations of words

      Klementiev, A., Titov, I. & Bhattarai, B., 2012, Proceedings of COLING 2012. p. 1459-1474 16 p.

      Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

      255 Citations (Scopus)