Binod Bhattarai

Orcid: 0000-0001-7171-6469

Affiliations:
  • Imperial College London, UK


According to our database1, Binod Bhattarai authored at least 58 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
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Article 
PhD thesis 
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Online presence:

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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

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

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

Medical Vision Language Pretraining: A survey.
CoRR, 2023

Federated Active Learning for Target Domain Generalisation.
CoRR, 2023

TextAug: Test time Text Augmentation for Multimodal Person Re-identification.
CoRR, 2023

Dimension Mixer: A Generalized Method for Structured Sparsity in Deep Neural Networks.
CoRR, 2023

Importance Estimation with Random Gradient for Neural Network Pruning.
CoRR, 2023

Multimodal Federated Learning in Healthcare: a review.
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

T2FNorm: Extremely Simple Scaled Train-time Feature Normalization for OOD Detection.
CoRR, 2023

iEdit: Localised Text-guided Image Editing with Weak Supervision.
CoRR, 2023

Translating Simulation Images to X-ray Images via Multi-Scale Semantic Matching.
CoRR, 2023

Neural Network Pruning for Real-Time Polyp Segmentation.
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

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

Metric Transform: Exploring beyond Affine Transform for Neural Networks.
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

Why is the Winner the Best?
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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

Bimodal Camera Pose Prediction for Endoscopy.
CoRR, 2022

Task-Aware Active Learning for Endoscopic Image Analysis.
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

NepBERTa: Nepali Language Model Trained in a Large Corpus.
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

Label Geometry Aware Discriminator for Conditional Generative Adversarial Networks.
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

MoBYv2AL: Self-supervised Active Learning for Image Classification.
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

Input Invex Neural Network.
CoRR, 2021

Visual Transformer for Task-aware Active Learning.
CoRR, 2021

Label Geometry Aware Discriminator for Conditional Generative Networks.
CoRR, 2021

Active Learning for Bayesian 3D Hand Pose Estimation.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

3D Dense Geometry-Guided Facial Expression Synthesis by Adversarial Learning.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Face Parsing From RGB and Depth Using Cross-Domain Mutual Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

Sequential Graph Convolutional Network for Active Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Additive Angular Margin for Few Shot Learning to Classify Clinical Endoscopy Images.
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

Sampling Strategies for GAN Synthetic Data.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Inducing Optimal Attribute Representations for Conditional GANs.
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

Deep fusion of visual signatures for client-server facial analysis.
Proceedings of the Tenth Indian Conference on Computer Vision, 2016

A joint learning approach for cross domain age estimation.
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
Puzzling face verification algorithms for privacy protection.
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
Inducing Crosslingual Distributed Representations of Words.
Proceedings of the COLING 2012, 2012


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