Binod Bhattarai
Orcid: 0000-0001-7171-6469Affiliations:
- Imperial College London, UK
According to our database1,
Binod Bhattarai
authored at least 71 papers
between 2012 and 2024.
Collaborative distances:
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Bibliography
2024
Placental vessel segmentation and registration in fetoscopy: Literature review and MICCAI FetReg2021 challenge findings.
Medical Image Anal., February, 2024
TE-SSL: Time and Event-aware Self Supervised Learning for Alzheimer's Disease Progression Analysis.
CoRR, 2024
Investigating the Robustness of Vision Transformers against Label Noise in Medical Image Classification.
CoRR, 2024
Investigation of Federated Learning Algorithms for Retinal Optical Coherence Tomography Image Classification with Statistical Heterogeneity.
CoRR, 2024
How does self-supervised pretraining improve robustness against noisy labels across various medical image classification datasets?
CoRR, 2024
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2024
TE-SSL: Time and Event-Aware Self Supervised Learning for Alzheimer's Disease Progression Analysis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Proceedings of the Data Engineering in Medical Imaging - Second MICCAI Workshop, 2024
CAR-MFL: Cross-Modal Augmentation by Retrieval for Multimodal Federated Learning with Missing Modalities.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Cross-Task Data Augmentation by Pseudo-Label Generation for Region Based Coronary Artery Instance Segmentation.
Proceedings of the Data Engineering in Medical Imaging - Second MICCAI Workshop, 2024
TTA-OOD: Test-Time Augmentation for Improving Out-of-Distribution Detection in Gastrointestinal Vision.
Proceedings of the Data Engineering in Medical Imaging - Second MICCAI Workshop, 2024
Active Label Refinement for Robust Training of Imbalanced Medical Image Classification Tasks in the Presence of High Label Noise.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Proceedings of the Data Engineering in Medical Imaging - Second MICCAI Workshop, 2024
Improving NeRF Representation with No Pose Prior for Novel View Synthesis in Colonoscopy.
Proceedings of the Data Engineering in Medical Imaging - Second MICCAI Workshop, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
2023
CholecTriplet2022: Show me a tool and tell me the triplet - An endoscopic vision challenge for surgical action triplet detection.
Medical Image Anal., October, 2023
Histogram of Oriented Gradients meet deep learning: A novel multi-task deep network for 2D surgical image semantic segmentation.
Medical Image Anal., April, 2023
Dimension Mixer: A Generalized Method for Structured Sparsity in Deep Neural Networks.
CoRR, 2023
Data Augmentation through Pseudolabels in Automatic Region Based Coronary Artery Segmentation for Disease Diagnosis.
CoRR, 2023
ConvNeXtv2 Fusion with Mask R-CNN for Automatic Region Based Coronary Artery Stenosis Detection for Disease Diagnosis.
CoRR, 2023
CoRR, 2023
Proceedings of the Medical Image Understanding and Analysis - 27th Annual Conference, 2023
M-VAAL: Multimodal Variational Adversarial Active Learning for Downstream Medical Image Analysis Tasks.
Proceedings of the Medical Image Understanding and Analysis - 27th Annual Conference, 2023
A Client-Server Deep Federated Learning for Cross-Domain Surgical Image Segmentation.
Proceedings of the Data Engineering in Medical Imaging - First MICCAI Workshop, 2023
Proceedings of the Data Engineering in Medical Imaging - First MICCAI Workshop, 2023
Improving Medical Image Classification in Noisy Labels Using only Self-supervised Pretraining.
Proceedings of the Data Engineering in Medical Imaging - First MICCAI Workshop, 2023
Proceedings of the First Tiny Papers Track at ICLR 2023, 2023
Joint Training of Hierarchical GANs and Semantic Segmentation for Expression Translation.
Proceedings of the IEEE International Conference on Acoustics, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
Noisy Heuristics NAS: A Network Morphism based Neural Architecture Search using Heuristics.
CoRR, 2022
FetReg2021: A Challenge on Placental Vessel Segmentation and Registration in Fetoscopy.
CoRR, 2022
Histogram of Oriented Gradients Meet Deep Learning: A Novel Multi-task Deep Network for Medical Image Semantic Segmentation.
CoRR, 2022
UNet-eVAE: Iterative Refinement Using VAE Embodied Learning for Endoscopic Image Segmentation.
Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 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, 2022
Proceedings of the 26th International Conference on Pattern Recognition, 2022
Generalized Product-of-Experts for Learning Multimodal Representations in Noisy Environments.
Proceedings of the International Conference on Multimodal Interaction, 2022
Proceedings of the 33rd British Machine Vision Conference 2022, 2022
2021
A Unified Architecture of Semantic Segmentation and Hierarchical Generative Adversarial Networks for Expression Manipulation.
CoRR, 2021
SeCGAN: Parallel Conditional Generative Adversarial Networks for Face Editing via Semantic Consistency.
CoRR, 2021
Brand Label Albedo Extraction of eCommerce Products using Generative Adversarial Network.
CoRR, 2021
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
2020
Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020
Auglabel: Exploiting Word Representations to Augment Labels for Face Attribute Classification.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
Proceedings of the Computer Vision - ECCV 2020, 2020
MatchGAN: A Self-supervised Semi-supervised Conditional Generative Adversarial Network.
Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020
2018
Semi-supervised Adversarial Learning to Generate Photorealistic Face Images of New Identities from 3D Morphable Model.
Proceedings of the Computer Vision - ECCV 2018, 2018
2016
Development of face analysis approximation methods by machine learning. (Développement de méthodes de rapprochement physionomique par apprentissage machine).
PhD thesis, 2016
Proceedings of the Tenth Indian Conference on Computer Vision, 2016
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016
CP-mtML: Coupled Projection Multi-Task Metric Learning for Large Scale Face Retrieval.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016
2014
Proceedings of the 2014 IEEE International Workshop on Information Forensics and Security, 2014
Some Faces are More Equal than Others: Hierarchical Organization for Accurate and Efficient Large-Scale Identity-Based Face Retrieval.
Proceedings of the Computer Vision - ECCV 2014 Workshops, 2014
2012
Proceedings of the COLING 2012, 2012