Binod Bhattarai

125 papers A* 4A 3B 3Misc 4Journal 67Unranked 40
YearRankTypeTitle / Venue / Authors
2026 — ed.
Data Engineering in Medical Imaging - Third MICCAI Workshop, DEMI 2025, Held in Conjunction with MICCAI 2025, Daejeon, South Korea, September 27, 2025, Proceedings
DEMI@MICCAI
Binod Bhattarai, Anita Rau, Razvan Caramalau, Annika Reinke, Anh Nguyen, Ana Namburete, Prashnna K. Gyawali, Danail Stoyanov
2026 J jnl
FedVG: Gradient-Guided Aggregation for Enhanced Federated Learning.
CoRR
Alina Devkota, Jacob Thrasher, Donald Adjeroh, Binod Bhattarai, Prashnna K. Gyawali
2026 J jnl
HandVQA: Diagnosing and Improving Fine-Grained Spatial Reasoning about Hands in Vision-Language Models.
CoRR
MD Khalequzzaman Chowdhury Sayem, Mubarrat Tajoar Chowdhury, Yihalem Yimolal Tiruneh, Muneeb Ahmed Khan, Muhammad Salman Ali, Binod Bhattarai, Seungryul Baek
2026 J jnl
Med-MMFL: A Multimodal Federated Learning Benchmark in Healthcare.
CoRR
Aavash Chhetri, Bibek Niroula, Pratik Shrestha, Yash Raj Shrestha, Lesley A. Anderson, Prashnna K. Gyawali, Loris Bazzani, Binod Bhattarai
2025 — conf
Addressing Bias in VLMs for Glaucoma Detection Without Protected Attribute Supervision.
DEMI@MICCAI
Ahsan Habib Akash, Greg Murray, Annahita Amireskandari, Joel Palko, Carol Laxson, Binod Bhattarai, Prashnna K. Gyawali
2025 J jnl
Addressing Bias in VLMs for Glaucoma Detection Without Protected Attribute Supervision.
CoRR
Ahsan Habib Akash, Greg Murray, Annahita Amireskandari, Joel Palko, Carol Laxson, Binod Bhattarai, Prashnna K. Gyawali
2025 — ed.
Data Engineering in Medical Imaging - Second MICCAI Workshop, DEMI 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024, Proceedings
DEMI@MICCAI
Binod Bhattarai, Sharib Ali, Anita Rau, Razvan Caramalau, Anh Nguyen, Prashnna K. Gyawali, Ana I. L. Namburete, Danail Stoyanov
2025 — conf
Dimension Mixer: Group Mixing of Input Dimensions for Efficient Function Approximation.
CPAL
Suman Sapkota, Binod Bhattarai
2025 — conf
Effect of Data Augmentation on Conformal Prediction for Diabetic Retinopathy.
DEMI@MICCAI
Rizwan Ahamed, Annahita Amireskandari, Joel Palko, Carol Laxson, Binod Bhattarai, Prashnna K. Gyawali
2025 J jnl
Effect of Data Augmentation on Conformal Prediction for Diabetic Retinopathy.
CoRR
Rizwan Ahamed, Annahita Amireskandari, Joel Palko, Carol Laxson, Binod Bhattarai, Prashnna K. Gyawali
2025 — conf
Estimating 2D Keypoints of Surgical Tools Using Vision-Language Models with Low-Rank Adaptation.
DEMI@MICCAI
Krit Duangprom, Tryphon Lambrou, Binod Bhattarai
2025 J jnl
Estimating 2D Keypoints of Surgical Tools Using Vision-Language Models with Low-Rank Adaptation.
CoRR
Krit Duangprom, Tryphon Lambrou, Binod Bhattarai
2025 — conf
Federated Active Learning for Target Domain Generalisation.
ICCVW
Razvan Caramalau, Binod Bhattarai, Danail Stoyanov
2025 J jnl
Federated Foundation Model for GI Endoscopy Images.
CoRR
Alina Devkota, Annahita Amireskandari, Joel Palko, Shyam Thakkar, Donald Adjeroh, Xiajun Jiang, Binod Bhattarai, Prashnna K. Gyawali
2025 — conf
Hallucination-Aware Multimodal Benchmark for Gastrointestinal Image Analysis with Large Vision-Language Models.
MICCAI (10)
Bidur Khanal, Sandesh Pokhrel, Sanjay Bhandari, Ramesh Rana, Nikesh Shrestha, Ram Bahadur Gurung, Cristian A. Linte, Angus Watson, Yash Raj Shrestha, Binod Bhattarai
2025 J jnl
Hallucination-Aware Multimodal Benchmark for Gastrointestinal Image Analysis with Large Vision-Language Models.
CoRR
Bidur Khanal, Sandesh Pokhrel, Sanjay Bhandari, Ramesh Rana, Nikesh Shrestha, Ram Bahadur Gurung, Cristian A. Linte, Angus Watson, Yash Raj Shrestha, Binod Bhattarai
2025 J jnl
Local K-Similarity Constraint for Federated Learning with Label Noise.
CoRR
Sanskar Amgain, Prashant Shrestha, Bidur Khanal, Alina Devkota, Yash Raj Shrestha, Seungryul Baek, Prashnna K. Gyawali, Binod Bhattarai
2025 J jnl
Multimodal Federated Learning With Missing Modalities through Feature Imputation Network.
CoRR
Pranav Poudel, Aavash Chhetri, Prashnna K. Gyawali, Georgios Leontidis, Binod Bhattarai
2025 — conf
Multimodal Federated Learning with Missing Modalities Through Feature Imputation Network.
MIUA (1)
Pranav Poudel, Aavash Chhetri, Prashnna K. Gyawali, Georgios Leontidis, Binod Bhattarai
2025 — conf
NERO: Explainable Out-of-Distribution Detection with Neuron-Level Relevance in Gastrointestinal Imaging.
MICCAI (10)
Anju Chhetri, Jari Korhonen, Prashnna K. Gyawali, Binod Bhattarai
2025 J jnl
NERO: Explainable Out-of-Distribution Detection with Neuron-level Relevance.
CoRR
Anju Chhetri, Jari Korhonen, Prashnna K. Gyawali, Binod Bhattarai
2025 — conf
Out-of-Distribution Detection in Gastrointestinal Vision by Estimating Nearest Centroid Distance Deficit.
MIUA (2)
Sandesh Pokhrel, Sanjay Bhandari, Sharib Ali, Tryphon Lambrou, Anh Nguyen, Yash Raj Shrestha, Angus Watson, Danail Stoyanov, Prashnna K. Gyawali, Binod Bhattarai
2025 — conf
Surgical Vision World Model.
DEMI@MICCAI
Saurabh Koju, Saurav Bastola, Prashant Shrestha, Sanskar Amgain, Yash Raj Shrestha, Rudra P. K. Poudel, Binod Bhattarai
2025 J jnl
Surgical Vision World Model.
CoRR
Saurabh Koju, Saurav Bastola, Prashant Shrestha, Sanskar Amgain, Yash Raj Shrestha, Rudra P. K. Poudel, Binod Bhattarai
2024 — conf
Active Label Refinement for Robust Training of Imbalanced Medical Image Classification Tasks in the Presence of High Label Noise.
MICCAI (11)
Bidur Khanal, Tianhong Dai, Binod Bhattarai, Cristian A. Linte
2024 J jnl
Active Label Refinement for Robust Training of Imbalanced Medical Image Classification Tasks in the Presence of High Label Noise.
CoRR
Bidur Khanal, Tianhong Dai, Binod Bhattarai, Cristian A. Linte
2024 — conf
CAR-MFL: Cross-Modal Augmentation by Retrieval for Multimodal Federated Learning with Missing Modalities.
MICCAI (10)
Pranav Poudel, Prashant Shrestha, Sanskar Amgain, Yash Raj Shrestha, Prashnna K. Gyawali, Binod Bhattarai
2024 J jnl
CAR-MFL: Cross-Modal Augmentation by Retrieval for Multimodal Federated Learning with Missing Modalities.
CoRR
Pranav Poudel, Prashant Shrestha, Sanskar Amgain, Yash Raj Shrestha, Prashnna K. Gyawali, Binod Bhattarai
2024 J jnl
CathAction: A Benchmark for Endovascular Intervention Understanding.
CoRR
Baoru Huang, Tuan Van Vo, Chayun Kongtongvattana, Giulio Dagnino, Dennis Kundrat, Wenqiang Chi, Mohamed E. M. K. Abdelaziz, Trevor M. Y. Kwok, Tudor Jianu, Tuong Do, Hieu Le, Minh Nguyen, Hoan Nguyen, Erman Tjiputra, Quang Tran, Jianyang Xie, Yanda Meng, Binod Bhattarai, Zhaorui Tan, Hongbin Liu, Hong Seng Gan, Wei Wang, Xi Yang, Qiufeng Wang, Jionglong Su, Kaizhu Huang, Angelos Stefanidis, Min Guo, Bo Du, Rong Tao, Minh Vu, Guoyan Zheng, Yalin Zheng, Francisco Vasconcelos, Danail Stoyanov, Daniel S. Elson, Ferdinando Rodriguez y Baena, Anh Nguyen
2024 — conf
Cross-Task Data Augmentation by Pseudo-Label Generation for Region Based Coronary Artery Instance Segmentation.
DEMI@MICCAI
Sandesh Pokhrel, Sanjay Bhandari, Eduard Vazquez, Yash Raj Shrestha, Binod Bhattarai
2024 — conf
Guide3D: A Bi-planar X-ray Dataset for 3D Shape Reconstruction.
ACCV (5)
Tudor Jianu, Baoru Huang, Hoan Nguyen, Binod Bhattarai, Tuong Do, Erman Tjiputra, Quang D. Tran, Pierre Berthet-Rayne, Ngan Le, Sebastiano Fichera, Anh Nguyen
2024 J jnl
Guide3D: A Bi-planar X-ray Dataset for 3D Shape Reconstruction.
CoRR
Tudor Jianu, Baoru Huang, Hoan Nguyen, Binod Bhattarai, Tuong Do, Erman Tjiputra, Quang Tran, Pierre Berthet-Rayne, Ngan Le, Sebastiano Fichera, Anh Nguyen
2024 J jnl
How does self-supervised pretraining improve robustness against noisy labels across various medical image classification datasets?
CoRR
Bidur Khanal, Binod Bhattarai, Bishesh Khanal, Cristian A. Linte
2024 — conf
Improving NeRF Representation with No Pose Prior for Novel View Synthesis in Colonoscopy.
DEMI@MICCAI
Pedro Esteban Chavarrias-Solano, Binod Bhattarai, Sharib Ali
2024 — conf
Investigating the Robustness of Vision Transformers against Label Noise in Medical Image Classification.
EMBC
Bidur Khanal, Prashant Shrestha, Sanskar Amgain, Bishesh Khanal, Binod Bhattarai, Cristian A. Linte
2024 J jnl
Investigating the Robustness of Vision Transformers against Label Noise in Medical Image Classification.
CoRR
Bidur Khanal, Prashant Shrestha, Sanskar Amgain, Bishesh Khanal, Binod Bhattarai, Cristian A. Linte
2024 J jnl
Investigation of Federated Learning Algorithms for Retinal Optical Coherence Tomography Image Classification with Statistical Heterogeneity.
CoRR
Sanskar Amgain, Prashant Shrestha, Sophia Bano, Ignacio del Valle Torres, Michael Cunniffe, Victor Hernandez, Phil Beales, Binod Bhattarai
2024 J jnl
NCDD: Nearest Centroid Distance Deficit for Out-Of-Distribution Detection in Gastrointestinal Vision.
CoRR
Sandesh Pokhrel, Sanjay Bhandari, Sharib Ali, Tryphon Lambrou, Anh Nguyen, Yash Raj Shrestha, Angus Watson, Danail Stoyanov, Prashnna K. Gyawali, Binod Bhattarai
2024 J jnl
Placental vessel segmentation and registration in fetoscopy: Literature review and MICCAI FetReg2021 challenge findings.
Medical Image Anal.
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
2024 A* conf
Prompt Augmentation for Self-supervised Text-guided Image Manipulation.
CVPR
Rumeysa Bodur, Binod Bhattarai, Tae-Kyun Kim
2024 J jnl
Prompt Augmentation for Self-supervised Text-guided Image Manipulation.
CoRR
Rumeysa Bodur, Binod Bhattarai, Tae-Kyun Kim
2024 — conf
ReweightOOD: Loss Reweighting for Distance-based OOD Detection.
CVPR Workshops
Sudarshan Regmi, Bibek Panthi, Yifei Ming, Prashnna K. Gyawali, Danail Stoyanov, Binod Bhattarai
2024 — conf
T2FNorm: Train-time Feature Normalization for OOD Detection in Image Classification.
CVPR Workshops
Sudarshan Regmi, Bibek Panthi, Sakar Dotel, Prashnna K. Gyawali, Danail Stoyanov, Binod Bhattarai
2024 — conf
TE-SSL: Time and Event-Aware Self Supervised Learning for Alzheimer's Disease Progression Analysis.
MICCAI (12)
Jacob Thrasher, Alina Devkota, Ahmad P. Tafti, Binod Bhattarai, Prashnna K. Gyawali
2024 J jnl
TE-SSL: Time and Event-aware Self Supervised Learning for Alzheimer's Disease Progression Analysis.
CoRR
Jacob Thrasher, Alina Devkota, Ahmed Tafti, Binod Bhattarai, Prashnna K. Gyawali
2024 — conf
TTA-OOD: Test-Time Augmentation for Improving Out-of-Distribution Detection in Gastrointestinal Vision.
DEMI@MICCAI
Sandesh Pokhrel, Sanjay Bhandari, Eduard Vazquez, Tryphon Lambrou, Prashnna K. Gyawali, Binod Bhattarai
2024 J jnl
TTA-OOD: Test-time Augmentation for Improving Out-of-Distribution Detection in Gastrointestinal Vision.
CoRR
Sandesh Pokhrel, Sanjay Bhandari, Eduard Vazquez, Tryphon Lambrou, Prashnna K. Gyawali, Binod Bhattarai
2024 — conf
Task-Aware Active Learning for Endoscopic Polyp Segmentation.
DEMI@MICCAI
Pranav Poudel, Shrawan Kumar Thapa, Sudarshan Regmi, Binod Bhattarai, Danail Stoyanov
2024 — conf
TextAug: Test Time Text Augmentation for Multimodal Person Re-Identification.
WACV (Workshops)
Mulham Fawakherji, Eduard Vazquez, Pasquale Giampa, Binod Bhattarai
2024 — conf
Translating Simulation Images to X-Ray Images via Multi-scale Semantic Matching.
DEMI@MICCAI
Jingxuan Kang, Tudor Jianu, Baoru Huang, Binod Bhattarai, Ngan Le, Frans Coenen, Anh Nguyen
2024 — conf
iEdit: Localised Text-guided Image Editing with Weak Supervision.
CVPR Workshops
Rumeysa Bodur, Erhan Gundogdu, Binod Bhattarai, Tae-Kyun Kim, Michael Donoser, Loris Bazzani
2023 — conf
A Client-Server Deep Federated Learning for Cross-Domain Surgical Image Segmentation.
DEMI@MICCAI
Ronast Subedi, Rebati Raman Gaire, Sharib Ali, Anh Nguyen, Danail Stoyanov, Binod Bhattarai
2023 J jnl
A Client-server Deep Federated Learning for Cross-domain Surgical Image Segmentation.
CoRR
Ronast Subedi, Rebati Raman Gaire, Sharib Ali, Anh Nguyen, Danail Stoyanov, Binod Bhattarai
2023 J jnl
CholecTriplet2022: Show me a tool and tell me the triplet - An endoscopic vision challenge for surgical action triplet detection.
Medical Image Anal.
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
2023 J jnl
CholecTriplet2022: Show me a tool and tell me the triplet - an endoscopic vision challenge for surgical action triplet detection.
CoRR
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
2023 J jnl
ConvNeXtv2 Fusion with Mask R-CNN for Automatic Region Based Coronary Artery Stenosis Detection for Disease Diagnosis.
CoRR
Sandesh Pokhrel, Sanjay Bhandari, Eduard Vazquez, Yash Raj Shrestha, Binod Bhattarai
2023 J jnl
Data Augmentation through Pseudolabels in Automatic Region Based Coronary Artery Segmentation for Disease Diagnosis.
CoRR
Sandesh Pokhrel, Sanjay Bhandari, Eduard Vazquez, Yash Raj Shrestha, Binod Bhattarai
2023 — ed.
Data Engineering in Medical Imaging - First MICCAI Workshop, DEMI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings
DEMI@MICCAI
Binod Bhattarai, Sharib Ali, Anita Rau, Anh Nguyen, Ana I. L. Namburete, Razvan Caramalau, Danail Stoyanov
2023 J jnl
Dimension Mixer: A Generalized Method for Structured Sparsity in Deep Neural Networks.
CoRR
Suman Sapkota, Binod Bhattarai
2023 J jnl
Federated Active Learning for Target Domain Generalisation.
CoRR
Razvan Caramalau, Binod Bhattarai, Danail Stoyanov
2023 J jnl
Histogram of Oriented Gradients meet deep learning: A novel multi-task deep network for 2D surgical image semantic segmentation.
Medical Image Anal.
Binod Bhattarai, Ronast Subedi, Rebati Raman Gaire, Eduard Vazquez, Danail Stoyanov
2023 J jnl
Importance Estimation with Random Gradient for Neural Network Pruning.
CoRR
Suman Sapkota, Binod Bhattarai
2023 J jnl
Improving Medical Image Classification in Noisy Labels Using Only Self-supervised Pretraining.
CoRR
Bidur Khanal, Binod Bhattarai, Bishesh Khanal, Cristian A. Linte
2023 — conf
Improving Medical Image Classification in Noisy Labels Using only Self-supervised Pretraining.
DEMI@MICCAI
Bidur Khanal, Binod Bhattarai, Bishesh Khanal, Cristian A. Linte
2023 Misc conf
Joint Training of Hierarchical GANs and Semantic Segmentation for Expression Translation.
ICASSP
Rumeysa Bodur, Binod Bhattarai, Tae-Kyun Kim
2023 — conf
M-VAAL: Multimodal Variational Adversarial Active Learning for Downstream Medical Image Analysis Tasks.
MIUA
Bidur Khanal, Binod Bhattarai, Bishesh Khanal, Danail Stoyanov, Cristian A. Linte
2023 J jnl
M-VAAL: Multimodal Variational Adversarial Active Learning for Downstream Medical Image Analysis Tasks.
CoRR
Bidur Khanal, Binod Bhattarai, Bishesh Khanal, Danail Stoyanov, Cristian A. Linte
2023 J jnl
Medical Vision Language Pretraining: A survey.
CoRR
Prashant Shrestha, Sanskar Amgain, Bidur Khanal, Cristian A. Linte, Binod Bhattarai
2023 — conf
Metric Transform: Exploring beyond Affine Transform for Neural Networks.
Tiny Papers @ ICLR
Suman Sapkota, Binod Bhattarai
2023 J jnl
MoBYv2AL: Self-supervised Active Learning for Image Classification.
CoRR
Razvan Caramalau, Binod Bhattarai, Danail Stoyanov, Tae-Kyun Kim
2023 J jnl
Multimodal Federated Learning in Healthcare: a review.
CoRR
Jacob Thrasher, Alina Devkota, Prasiddha Siwakotai, Rohit Chivukula, Pranav Poudel, Chaunbo Hu, Binod Bhattarai, Prashnna K. Gyawali
2023 — conf
Neural Network Pruning for Real-Time Polyp Segmentation.
MIUA
Suman Sapkota, Pranav Poudel, Sudarshan Regmi, Bibek Panthi, Binod Bhattarai
2023 J jnl
Neural Network Pruning for Real-time Polyp Segmentation.
CoRR
Suman Sapkota, Pranav Poudel, Sudarshan Regmi, Bibek Panthi, Binod Bhattarai
2023 J jnl
T2FNorm: Extremely Simple Scaled Train-time Feature Normalization for OOD Detection.
CoRR
Sudarshan Regmi, Bibek Panthi, Sakar Dotel, Prashnna K. Gyawali, Danail Stoyanov, Binod Bhattarai
2023 — conf
Task-Guided Domain Gap Reduction for Monocular Depth Prediction in Endoscopy.
DEMI@MICCAI
Anita Rau, Binod Bhattarai, Lourdes Agapito, Danail Stoyanov
2023 J jnl
Task-guided Domain Gap Reduction for Monocular Depth Prediction in Endoscopy.
CoRR
Anita Rau, Binod Bhattarai, Lourdes Agapito, Danail Stoyanov
2023 J jnl
TextAug: Test time Text Augmentation for Multimodal Person Re-identification.
CoRR
Mulham Fawakherji, Eduard Vazquez, Pasquale Giampa, Binod Bhattarai
2023 J jnl
Translating Simulation Images to X-ray Images via Multi-Scale Semantic Matching.
CoRR
Jingxuan Kang, Tudor Jianu, Baoru Huang, Binod Bhattarai, Ngan Le, Frans Coenen, Anh Nguyen
2023 A* conf
Why is the Winner the Best?
CVPR
Matthias Eisenmann, Annika Reinke, Vivienn Weru, Minu Dietlinde Tizabi, Fabian Isensee, Tim J. Adler, Sharib Ali, Vincent Andrearczyk, Marc Aubreville, Ujjwal Baid, Spyridon Bakas, Niranjan Balu, Sophia Bano, Jorge Bernal, Sebastian Bodenstedt, Alessandro Casella, Veronika Cheplygina, Marie Daum, Marleen de Bruijne, Adrien Depeursinge, Reuben Dorent, Jan Egger, David G. Ellis, Sandy Engelhardt, Melanie Ganz, Noha M. Ghatwary, Gabriel Girard, Patrick Godau, Anubha Gupta, Lasse Hansen, Kanako Harada, Mattias P. Heinrich, Nicholas Heller, Alessa Hering, Arnaud Huaulmé, Pierre Jannin, A. Emre Kavur, Oldrich Kodym, Michal Kozubek, Jianning Li, Hongwei Bran Li, Jun Ma, Carlos Martín-Isla, Bjoern H. Menze, J. Alison Noble, Valentin Oreiller, Nicolas Padoy, Sarthak Pati, Kelly Payette, Tim Rädsch, Jonathan Rafael-Patino, Vivek Singh Bawa, Stefanie Speidel, Carole H. Sudre, Kimberlin M. H. van Wijnen, Martin Wagner, D. Wei, Amine Yamlahi, Moi Hoon Yap, C. Yuan, Maximilian Zenk, A. Zia, David Zimmerer, Dogu Baran Aydogan, Binod Bhattarai, Louise Bloch, Raphael Brüngel, J. Cho, C. Choi, Q. Dou, Ivan Ezhov, Christoph M. Friedrich, C. Fuller, Rebati Raman Gaire, Adrian Galdran, Álvaro García-Faura, Maria Grammatikopoulou, S. Hong, Mostafa Jahanifar, I. Jang, Abdolrahim Kadkhodamohammadi, I. Kang, Florian Kofler, S. Kondo, Hugo Jaco Kuijf, M. Li, M. Luu, Tomaz Martincic, Pedro Morais, Mohamed A. Naser, Bruno Oliveira, David Owen, S. Pang, J. Park, S. Park, Szymon Plotka, Élodie Puybareau, Nasir M. Rajpoot, K. Ryu, Numan Saeed, Adam Shephard, Pengcheng Shi, Dejan Stepec, Ronast Subedi, Guillaume Tochon, Helena R. Torres, Hélène Urien, João L. Vilaça, Kareem A. Wahid, H. Wang, J. Wang, L. Wang, X. Wang, Benedikt Wiestler, Marek Wodzinski, F. Xia, J. Xie, Z. Xiong, Sen Yang, Y. Yang, Zixuan Zhao, Klaus H. Maier-Hein, Paul F. Jäger, Annette Kopp-Schneider, Lena Maier-Hein
2023 J jnl
iEdit: Localised Text-guided Image Editing with Weak Supervision.
CoRR
Rumeysa Bodur, Erhan Gundogdu, Binod Bhattarai, Tae-Kyun Kim, Michael Donoser, Loris Bazzani
2022 J jnl
Bimodal Camera Pose Prediction for Endoscopy.
CoRR
Anita Rau, Binod Bhattarai, Lourdes Agapito, Danail Stoyanov
2022 J jnl
FetReg2021: A Challenge on Placental Vessel Segmentation and Registration in Fetoscopy.
CoRR
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
2022 B conf
Generalized Product-of-Experts for Learning Multimodal Representations in Noisy Environments.
ICMI
Abhinav Joshi, Naman Gupta, Jinang Shah, Binod Bhattarai, Ashutosh Modi, Danail Stoyanov
2022 J jnl
Generalized Product-of-Experts for Learning Multimodal Representations in Noisy Environments.
CoRR
Abhinav Joshi, Naman Gupta, Jinang Shah, Binod Bhattarai, Ashutosh Modi, Danail Stoyanov
2022 J jnl
Histogram of Oriented Gradients Meet Deep Learning: A Novel Multi-task Deep Network for Medical Image Semantic Segmentation.
CoRR
Binod Bhattarai, Ronast Subedi, Rebati Raman Gaire, Eduard Vazquez, Danail Stoyanov
2022 B conf
Label Geometry Aware Discriminator for Conditional Generative Adversarial Networks.
ICPR
Suman Sapkota, Bidur Khanal, Binod Bhattarai, Bishesh Khanal, Tae-Kyun Kim
2022 A conf
MoBYv2AL: Self-supervised Active Learning for Image Classification.
BMVC
Razvan Caramalau, Binod Bhattarai, Danail Stoyanov, Tae-Kyun Kim
2022 — conf
NepBERTa: Nepali Language Model Trained in a Large Corpus.
AACL/IJCNLP (2)
Sulav Timilsina, Milan Gautam, Binod Bhattarai
2022 J jnl
Noisy Heuristics NAS: A Network Morphism based Neural Architecture Search using Heuristics.
CoRR
Suman Sapkota, Binod Bhattarai
2022 J jnl
Task-Aware Active Learning for Endoscopic Image Analysis.
CoRR
Shrawan Kumar Thapa, Pranav Poudel, Binod Bhattarai, Danail Stoyanov
2022 — conf
UNet-eVAE: Iterative Refinement Using VAE Embodied Learning for Endoscopic Image Segmentation.
MLMI@MICCAI
Soumya Gupta, Sharib Ali, Ziang Xu, Binod Bhattarai, Ben Turney, Jens Rittscher
2021 A conf
3D Dense Geometry-Guided Facial Expression Synthesis by Adversarial Learning.
WACV
Rumeysa Bodur, Binod Bhattarai, Tae-Kyun Kim
2021 J jnl
A Unified Architecture of Semantic Segmentation and Hierarchical Generative Adversarial Networks for Expression Manipulation.
CoRR
Rumeysa Bodur, Binod Bhattarai, Tae-Kyun Kim
2021 A conf
Active Learning for Bayesian 3D Hand Pose Estimation.
WACV
Razvan Caramalau, Binod Bhattarai, Tae-Kyun Kim
2021 J jnl
Brand Label Albedo Extraction of eCommerce Products using Generative Adversarial Network.
CoRR
Suman Sapkota, Manish Juneja, Laurynas Keleras, Pranav Kotwal, Binod Bhattarai
2021 — conf
Face Parsing From RGB and Depth Using Cross-Domain Mutual Learning.
CVPR Workshops
Jihyun Lee, Binod Bhattarai, Tae-Kyun Kim
2021 J jnl
Input Invex Neural Network.
CoRR
Suman Sapkota, Binod Bhattarai
2021 J jnl
Label Geometry Aware Discriminator for Conditional Generative Networks.
CoRR
Suman Sapkota, Bidur Khanal, Binod Bhattarai, Bishesh Khanal, Tae-Kyun Kim
2021 J jnl
SeCGAN: Parallel Conditional Generative Adversarial Networks for Face Editing via Semantic Consistency.
CoRR
Jiaze Sun, Binod Bhattarai, Zhixiang Chen, Tae-Kyun Kim
2021 A* conf
Sequential Graph Convolutional Network for Active Learning.
CVPR
Razvan Caramalau, Binod Bhattarai, Tae-Kyun Kim
2021 J jnl
Visual Transformer for Task-aware Active Learning.
CoRR
Razvan Caramalau, Binod Bhattarai, Tae-Kyun Kim
2020 J jnl
3D Dense Geometry-Guided Facial Expression Synthesis by Adversarial Learning.
CoRR
Rumeysa Bodur, Binod Bhattarai, Tae-Kyun Kim
2020 J jnl
Active Learning for Bayesian 3D Hand Pose Estimation.
CoRR
Razvan Caramalau, Binod Bhattarai, Tae-Kyun Kim
2020 — conf
Additive Angular Margin for Few Shot Learning to Classify Clinical Endoscopy Images.
MLMI@MICCAI
Sharib Ali, Binod Bhattarai, Tae-Kyun Kim, Jens Rittscher
2020 J jnl
Additive Angular Margin for Few Shot Learning to Classify Clinical Endoscopy Images.
CoRR
Sharib Ali, Binod Bhattarai, Tae-Kyun Kim, Jens Rittscher
2020 Misc conf
Auglabel: Exploiting Word Representations to Augment Labels for Face Attribute Classification.
ICASSP
Binod Bhattarai, Rumeysa Bodur, Tae-Kyun Kim
2020 — conf
Inducing Optimal Attribute Representations for Conditional GANs.
ECCV (7)
Binod Bhattarai, Tae-Kyun Kim
2020 J jnl
Inducing Optimal Attribute Representations for Conditional GANs.
CoRR
Binod Bhattarai, Tae-Kyun Kim
2020 J jnl
MatchGAN: A Self-Supervised Semi-Supervised Conditional Generative Adversarial Network.
CoRR
Jiaze Sun, Binod Bhattarai, Tae-Kyun Kim
2020 — conf
MatchGAN: A Self-supervised Semi-supervised Conditional Generative Adversarial Network.
ACCV (4)
Jiaze Sun, Binod Bhattarai, Tae-Kyun Kim
2020 Misc conf
Sampling Strategies for GAN Synthetic Data.
ICASSP
Binod Bhattarai, Seungryul Baek, Rumeysa Bodur, Tae-Kyun Kim
2020 J jnl
Sequential Graph Convolutional Network for Active Learning.
CoRR
Razvan Caramalau, Binod Bhattarai, Tae-Kyun Kim
2019 J jnl
AugLabel: Exploiting Word Representations to Augment Labels for Face Attribute Classification.
CoRR
Binod Bhattarai, Rumeysa Bodur, Tae-Kyun Kim
2019 J jnl
Sampling Strategies for GAN Synthetic Data.
CoRR
Binod Bhattarai, Seungryul Baek, Rumeysa Bodur, Tae-Kyun Kim
2018 — conf
Semi-supervised Adversarial Learning to Generate Photorealistic Face Images of New Identities from 3D Morphable Model.
ECCV (11)
Baris Gecer, Binod Bhattarai, Josef Kittler, Tae-Kyun Kim
2018 J jnl
Semi-supervised Adversarial Learning to Generate Photorealistic Face Images of New Identities from 3D Morphable Model.
CoRR
Baris Gecer, Binod Bhattarai, Josef Kittler, Tae-Kyun Kim
2016 Misc conf
A joint learning approach for cross domain age estimation.
ICASSP
Binod Bhattarai, Gaurav Sharma, Alexis Lechervy, Frédéric Jurie
2016 A* conf
CP-mtML: Coupled Projection Multi-Task Metric Learning for Large Scale Face Retrieval.
CVPR
Binod Bhattarai, Gaurav Sharma, Frédéric Jurie
2016 J jnl
CP-mtML: Coupled Projection multi-task Metric Learning for Large Scale Face Retrieval.
CoRR
Binod Bhattarai, Gaurav Sharma, Frédéric Jurie
2016 — conf
Deep fusion of visual signatures for client-server facial analysis.
ICVGIP
Binod Bhattarai, Gaurav Sharma, Frédéric Jurie
2016 J jnl
Deep fusion of visual signatures for client-server facial analysis.
CoRR
Binod Bhattarai, Gaurav Sharma, Frédéric Jurie
2016 — —
Development of face analysis approximation methods by machine learning. (Développement de méthodes de rapprochement physionomique par apprentissage machine).
Binod Bhattarai
2014 — conf
Puzzling face verification algorithms for privacy protection.
WIFS
Binod Bhattarai, Alexis Mignon, Frédéric Jurie, Teddy Furon
2014 — conf
Some Faces are More Equal than Others: Hierarchical Organization for Accurate and Efficient Large-Scale Identity-Based Face Retrieval.
ECCV Workshops (2)
Binod Bhattarai, Gaurav Sharma, Frédéric Jurie, Patrick Pérez
2012 B conf
Inducing Crosslingual Distributed Representations of Words.
COLING
Alexandre Klementiev, Ivan Titov, Binod Bhattarai