Binod Bhattarai

ORCID

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 77

Top Venues

Normandy University, France (PHD)

Education History

Normandy University, France

PHD

Publications

Jacob Thrasher, Alina Devkota, Ahmed Tafti, Binod Bhattarai, Prashnna K. Gyawali
TE-SSL: Time and Event-aware Self Supervised Learning for Alzheimer's Disease Progression Analysis. CoRR (2024)
Mulham Fawakherji, Eduard Vazquez, Pasquale Giampa, Binod Bhattarai
TextAug: Test Time Text Augmentation for Multimodal Person Re-Identification. WACV (Workshops) (2024)
Sanskar Amgain, Prashant Shrestha, Sophia Bano, Ignacio del Valle Torres, Michael Cunniffe, Victor Hernandez, Phil Beales, Binod Bhattarai
Investigation of Federated Learning Algorithms for Retinal Optical Coherence Tomography Image Classification with Statistical Heterogeneity. CoRR (2024)
Pranav Poudel, Prashant Shrestha, Sanskar Amgain, Yash Raj Shrestha, Prashnna K. Gyawali, Binod Bhattarai
CAR-MFL: Cross-Modal Augmentation by Retrieval for Multimodal Federated Learning with Missing Modalities. CoRR (2024)
Sandesh Pokhrel, Sanjay Bhandari, Eduard Vazquez, Tryphon Lambrou, Prashnna K. Gyawali, Binod Bhattarai
TTA-OOD: Test-time Augmentation for Improving Out-of-Distribution Detection in Gastrointestinal Vision. CoRR (2024)
Bidur Khanal, Binod Bhattarai, Bishesh Khanal, Cristian A. Linte
How does self-supervised pretraining improve robustness against noisy labels across various medical image classification datasets? CoRR (2024)
Sophia Bano, Alessandro Casella, Francisco Vasconcelos, Abdul Qayyum, Abdesslam Benzinou, Moona Mazher, Fabrice Mériaudeau, 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 Plotka, 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 Anal. 92 (2024)
Bidur Khanal, Tianhong Dai, Binod Bhattarai, Cristian A. Linte
Active Label Refinement for Robust Training of Imbalanced Medical Image Classification Tasks in the Presence of High Label Noise. CoRR (2024)
Bidur Khanal, Prashant Shrestha, Sanskar Amgain, Bishesh Khanal, Binod Bhattarai, Cristian A. Linte
Investigating the Robustness of Vision Transformers against Label Noise in Medical Image Classification. CoRR (2024)
Suman Sapkota, Binod Bhattarai
Metric Transform: Exploring beyond Affine Transform for Neural Networks. Tiny Papers @ ICLR (2023)
Suman Sapkota, Binod Bhattarai
Dimension Mixer: A Generalized Method for Structured Sparsity in Deep Neural Networks. CoRR (2023)
Razvan Caramalau, Binod Bhattarai, Danail Stoyanov, Tae-Kyun Kim
MoBYv2AL: Self-supervised Active Learning for Image Classification. CoRR (2023)
Binod Bhattarai, Ronast Subedi, Rebati Raman Gaire, Eduard Vazquez, Danail Stoyanov
Histogram of Oriented Gradients meet deep learning: A novel multi-task deep network for 2D surgical image semantic segmentation. Medical Image Anal. 85 (2023)
Jingxuan Kang, Tudor Jianu, Baoru Huang, Binod Bhattarai, Ngan Le, Frans Coenen, Anh Nguyen
Translating Simulation Images to X-ray Images via Multi-Scale Semantic Matching. CoRR (2023)
Sudarshan Regmi, Bibek Panthi, Sakar Dotel, Prashnna K. Gyawali, Danail Stoyanov, Binod Bhattarai
T2FNorm: Extremely Simple Scaled Train-time Feature Normalization for OOD Detection. CoRR (2023)
Suman Sapkota, Pranav Poudel, Sudarshan Regmi, Bibek Panthi, Binod Bhattarai
Neural Network Pruning for Real-Time Polyp Segmentation. MIUA (2023)
Suman Sapkota, Binod Bhattarai
Importance Estimation with Random Gradient for Neural Network Pruning. CoRR (2023)
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 C. 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 Anal. 89 (2023)
Bidur Khanal, Binod Bhattarai, Bishesh Khanal, Danail Stoyanov, Cristian A. Linte
M-VAAL: Multimodal Variational Adversarial Active Learning for Downstream Medical Image Analysis Tasks. CoRR (2023)
Sandesh Pokhrel, Sanjay Bhandari, Eduard Vazquez, Yash Raj Shrestha, Binod Bhattarai
ConvNeXtv2 Fusion with Mask R-CNN for Automatic Region Based Coronary Artery Stenosis Detection for Disease Diagnosis. CoRR (2023)
Razvan Caramalau, Binod Bhattarai, Danail Stoyanov
Federated Active Learning for Target Domain Generalisation. CoRR (2023)
Sandesh Pokhrel, Sanjay Bhandari, Eduard Vazquez, Yash Raj Shrestha, Binod Bhattarai
Data Augmentation through Pseudolabels in Automatic Region Based Coronary Artery Segmentation for Disease Diagnosis. CoRR (2023)
Anita Rau, Binod Bhattarai, Lourdes Agapito, Danail Stoyanov
Task-guided Domain Gap Reduction for Monocular Depth Prediction in Endoscopy. CoRR (2023)
Suman Sapkota, Pranav Poudel, Sudarshan Regmi, Bibek Panthi, Binod Bhattarai
Neural Network Pruning for Real-time Polyp Segmentation. CoRR (2023)
Bidur Khanal, Binod Bhattarai, Bishesh Khanal, Danail Stoyanov, Cristian A. Linte
M-VAAL: Multimodal Variational Adversarial Active Learning for Downstream Medical Image Analysis Tasks. MIUA (2023)
Bidur Khanal, Binod Bhattarai, Bishesh Khanal, Cristian A. Linte
Improving Medical Image Classification in Noisy Labels Using only Self-supervised Pretraining. DEMI@MICCAI (2023)
Prashant Shrestha, Sanskar Amgain, Bidur Khanal, Cristian A. Linte, Binod Bhattarai
Medical Vision Language Pretraining: A survey. CoRR (2023)
Ronast Subedi, Rebati Raman Gaire, Sharib Ali, Anh Nguyen, Danail Stoyanov, Binod Bhattarai
A Client-Server Deep Federated Learning for Cross-Domain Surgical Image Segmentation. DEMI@MICCAI (2023)
Bidur Khanal, Binod Bhattarai, Bishesh Khanal, Cristian A. Linte
Improving Medical Image Classification in Noisy Labels Using Only Self-supervised Pretraining. CoRR (2023)
Rumeysa Bodur, Erhan Gundogdu, Binod Bhattarai, Tae-Kyun Kim, Michael Donoser, Loris Bazzani
iEdit: Localised Text-guided Image Editing with Weak Supervision. CoRR (2023)
Mulham Fawakherji, Eduard Vazquez, Pasquale Giampa, Binod Bhattarai
TextAug: Test time Text Augmentation for Multimodal Person Re-identification. CoRR (2023)
Jacob Thrasher, Alina Devkota, Prasiddha Siwakotai, Rohit Chivukula, Pranav Poudel, Chaunbo Hu, Binod Bhattarai, Prashnna K. Gyawali
Multimodal Federated Learning in Healthcare: a review. CoRR (2023)
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 C. 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. CoRR (2023)
Ronast Subedi, Rebati Raman Gaire, Sharib Ali, Anh Nguyen, Danail Stoyanov, Binod Bhattarai
A Client-server Deep Federated Learning for Cross-domain Surgical Image Segmentation. CoRR (2023)
Rumeysa Bodur, Binod Bhattarai, Tae-Kyun Kim
Joint Training of Hierarchical GANs and Semantic Segmentation for Expression Translation. ICASSP (2023)
Anita Rau, Binod Bhattarai, Lourdes Agapito, Danail Stoyanov
Task-Guided Domain Gap Reduction for Monocular Depth Prediction in Endoscopy. DEMI@MICCAI (2023)
Suman Sapkota, Bidur Khanal, Binod Bhattarai, Bishesh Khanal, Tae-Kyun Kim
Label Geometry Aware Discriminator for Conditional Generative Adversarial Networks. ICPR (2022)
Soumya Gupta, Sharib Ali, Ziang Xu, Binod Bhattarai, Ben Turney, Jens Rittscher
UNet-eVAE: Iterative Refinement Using VAE Embodied Learning for Endoscopic Image Segmentation. MLMI@MICCAI (2022)
Shrawan Kumar Thapa, Pranav Poudel, Binod Bhattarai, Danail Stoyanov
Task-Aware Active Learning for Endoscopic Image Analysis. CoRR (2022)
Binod Bhattarai, Ronast Subedi, Rebati Raman Gaire, Eduard Vazquez, Danail Stoyanov
Histogram of Oriented Gradients Meet Deep Learning: A Novel Multi-task Deep Network for Medical Image Semantic Segmentation. CoRR (2022)
Abhinav Joshi, Naman Gupta, Jinang Shah, Binod Bhattarai, Ashutosh Modi, Danail Stoyanov
Generalized Product-of-Experts for Learning Multimodal Representations in Noisy Environments. CoRR (2022)
Anita Rau, Binod Bhattarai, Lourdes Agapito, Danail Stoyanov
Bimodal Camera Pose Prediction for Endoscopy. CoRR (2022)
Abhinav Joshi, Naman Gupta, Jinang Shah, Binod Bhattarai, Ashutosh Modi, Danail Stoyanov
Generalized Product-of-Experts for Learning Multimodal Representations in Noisy Environments. ICMI (2022)
Suman Sapkota, Binod Bhattarai
Noisy Heuristics NAS: A Network Morphism based Neural Architecture Search using Heuristics. CoRR (2022)
Sulav Timilsina, Milan Gautam, Binod Bhattarai
NepBERTa: Nepali Language Model Trained in a Large Corpus. AACL/IJCNLP (2) (2022)
Razvan Caramalau, Binod Bhattarai, Danail Stoyanov, Tae-Kyun Kim
MoBYv2AL: Self-supervised Active Learning for Image Classification. BMVC (2022)
Sophia Bano, Alessandro Casella, Francisco Vasconcelos, Abdul Qayyum, Abdesslam Benzinou, Moona Mazher, Fabrice Mériaudeau, 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 Plotka, 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
FetReg2021: A Challenge on Placental Vessel Segmentation and Registration in Fetoscopy. CoRR (2022)
Rumeysa Bodur, Binod Bhattarai, Tae-Kyun Kim
A Unified Architecture of Semantic Segmentation and Hierarchical Generative Adversarial Networks for Expression Manipulation. CoRR (2021)
Razvan Caramalau, Binod Bhattarai, Tae-Kyun Kim
Active Learning for Bayesian 3D Hand Pose Estimation. WACV (2021)
Razvan Caramalau, Binod Bhattarai, Tae-Kyun Kim
Visual Transformer for Task-aware Active Learning. CoRR (2021)
Suman Sapkota, Bidur Khanal, Binod Bhattarai, Bishesh Khanal, Tae-Kyun Kim
Label Geometry Aware Discriminator for Conditional Generative Networks. CoRR (2021)
Razvan Caramalau, Binod Bhattarai, Tae-Kyun Kim
Sequential Graph Convolutional Network for Active Learning. CVPR (2021)
Rumeysa Bodur, Binod Bhattarai, Tae-Kyun Kim
3D Dense Geometry-Guided Facial Expression Synthesis by Adversarial Learning. WACV (2021)
Jihyun Lee, Binod Bhattarai, Tae-Kyun Kim
Face Parsing From RGB and Depth Using Cross-Domain Mutual Learning. CVPR Workshops (2021)
Suman Sapkota, Binod Bhattarai
Input Invex Neural Network. CoRR (2021)
Jiaze Sun, Binod Bhattarai, Zhixiang Chen, Tae-Kyun Kim
SeCGAN: Parallel Conditional Generative Adversarial Networks for Face Editing via Semantic Consistency. CoRR (2021)
Suman Sapkota, Manish Juneja, Laurynas Keleras, Pranav Kotwal, Binod Bhattarai
Brand Label Albedo Extraction of eCommerce Products using Generative Adversarial Network. CoRR (2021)
Binod Bhattarai, Tae-Kyun Kim
Inducing Optimal Attribute Representations for Conditional GANs. ECCV (7) (2020)
Jiaze Sun, Binod Bhattarai, Tae-Kyun Kim
MatchGAN: A Self-Supervised Semi-Supervised Conditional Generative Adversarial Network. CoRR (2020)
Binod Bhattarai, Tae-Kyun Kim
Inducing Optimal Attribute Representations for Conditional GANs. CoRR (2020)
Binod Bhattarai, Rumeysa Bodur, Tae-Kyun Kim
Auglabel: Exploiting Word Representations to Augment Labels for Face Attribute Classification. ICASSP (2020)
Razvan Caramalau, Binod Bhattarai, Tae-Kyun Kim
Active Learning for Bayesian 3D Hand Pose Estimation. CoRR (2020)
Razvan Caramalau, Binod Bhattarai, Tae-Kyun Kim
Sequential Graph Convolutional Network for Active Learning. CoRR (2020)
Jiaze Sun, Binod Bhattarai, Tae-Kyun Kim
MatchGAN: A Self-supervised Semi-supervised Conditional Generative Adversarial Network. ACCV (4) (2020)
Binod Bhattarai, Seungryul Baek, Rumeysa Bodur, Tae-Kyun Kim
Sampling Strategies for GAN Synthetic Data. ICASSP (2020)
Sharib Ali, Binod Bhattarai, Tae-Kyun Kim, Jens Rittscher
Additive Angular Margin for Few Shot Learning to Classify Clinical Endoscopy Images. MLMI@MICCAI (2020)
Sharib Ali, Binod Bhattarai, Tae-Kyun Kim, Jens Rittscher
Additive Angular Margin for Few Shot Learning to Classify Clinical Endoscopy Images. CoRR (2020)
Rumeysa Bodur, Binod Bhattarai, Tae-Kyun Kim
3D Dense Geometry-Guided Facial Expression Synthesis by Adversarial Learning. CoRR (2020)
Binod Bhattarai, Seungryul Baek, Rumeysa Bodur, Tae-Kyun Kim
Sampling Strategies for GAN Synthetic Data. CoRR (2019)
Binod Bhattarai, Rumeysa Bodur, Tae-Kyun Kim
AugLabel: Exploiting Word Representations to Augment Labels for Face Attribute Classification. CoRR (2019)
Baris Gecer, Binod Bhattarai, Josef Kittler, Tae-Kyun Kim
Semi-supervised Adversarial Learning to Generate Photorealistic Face Images of New Identities from 3D Morphable Model. CoRR (2018)
Baris Gecer, Binod Bhattarai, Josef Kittler, Tae-Kyun Kim
Semi-supervised Adversarial Learning to Generate Photorealistic Face Images of New Identities from 3D Morphable Model. ECCV (11) (2018)
Binod Bhattarai, Gaurav Sharma, Frédéric Jurie
Deep fusion of visual signatures for client-server facial analysis. CoRR (2016)
Binod Bhattarai, Gaurav Sharma, Alexis Lechervy, Frédéric Jurie
A joint learning approach for cross domain age estimation. ICASSP (2016)
Binod Bhattarai, Gaurav Sharma, Frédéric Jurie
Deep fusion of visual signatures for client-server facial analysis. ICVGIP (2016)
Binod Bhattarai, Gaurav Sharma, Frédéric Jurie
CP-mtML: Coupled Projection multi-task Metric Learning for Large Scale Face Retrieval. CoRR (2016)
Binod Bhattarai, Gaurav Sharma, Frédéric Jurie
CP-mtML: Coupled Projection Multi-Task Metric Learning for Large Scale Face Retrieval. CVPR (2016)
Binod Bhattarai, Gaurav Sharma, Frédéric Jurie, Patrick Pérez
Some Faces are More Equal than Others: Hierarchical Organization for Accurate and Efficient Large-Scale Identity-Based Face Retrieval. ECCV Workshops (2) (2014)
Binod Bhattarai, Alexis Mignon, Frédéric Jurie, Teddy Furon
Puzzling face verification algorithms for privacy protection. WIFS (2014)
Alexandre Klementiev, Ivan Titov, Binod Bhattarai
Inducing Crosslingual Distributed Representations of Words. COLING (2012)

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Publication Activity (10 Years)

Top Topics

Top Venues

Binod Bhattarai