Binod Bhattarai
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
46
Venues
13
Active years
2012–2025
Best venue rank
A*
Where they publish
Papers
46 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICCV | Federated Active Learning for Target Domain Generalisation. | Razvan Caramalau, Binod Bhattarai, Danail Stoyanov |
| 2025 | MICCAI | Effect of Data Augmentation on Conformal Prediction for Diabetic Retinopathy. | Rizwan Ahamed, Annahita Amireskandari, Joel Palko, Carol Laxson, Binod Bhattarai, Prashnna K. Gyawali |
| 2025 | MICCAI | Addressing Bias in VLMs for Glaucoma Detection Without Protected Attribute Supervision. | Ahsan Habib Akash, Greg Murray, Annahita Amireskandari, Joel Palko, Carol Laxson, Binod Bhattarai, Prashnna K. Gyawali |
| 2025 | MICCAI | NERO: Explainable Out-of-Distribution Detection with Neuron-Level Relevance in Gastrointestinal Imaging. | Anju Chhetri, Jari Korhonen, Prashnna K. Gyawali, Binod Bhattarai |
| 2025 | MICCAI | Estimating 2D Keypoints of Surgical Tools Using Vision-Language Models with Low-Rank Adaptation. | Krit Duangprom, Tryphon Lambrou, Binod Bhattarai |
| 2025 | MICCAI | Hallucination-Aware Multimodal Benchmark for Gastrointestinal Image Analysis with Large Vision-Language Models. | Bidur Khanal, Sandesh Pokhrel, Sanjay Bhandari, Ramesh Rana, Nikesh Shrestha, Ram Bahadur Gurung, Cristian A. Linte, Angus Watson, Yash Raj Shrestha, Binod Bhattarai |
| 2025 | MICCAI | Surgical Vision World Model. | Saurabh Koju, Saurav Bastola, Prashant Shrestha, Sanskar Amgain, Yash Raj Shrestha, Rudra P. K. Poudel, Binod Bhattarai |
| 2024 | ACCV | Guide3D: A Bi-planar X-ray Dataset for 3D Shape Reconstruction. | 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 | CVPR | Prompt Augmentation for Self-supervised Text-guided Image Manipulation. | Rumeysa Bodur, Binod Bhattarai, Tae-Kyun Kim |
| 2024 | CVPR | iEdit: Localised Text-guided Image Editing with Weak Supervision. | Rumeysa Bodur, Erhan Gundogdu, Binod Bhattarai, Tae-Kyun Kim, Michael Donoser, Loris Bazzani |
| 2024 | CVPR | T2FNorm: Train-time Feature Normalization for OOD Detection in Image Classification. | Sudarshan Regmi, Bibek Panthi, Sakar Dotel, Prashnna K. Gyawali, Danail Stoyanov, Binod Bhattarai |
| 2024 | CVPR | ReweightOOD: Loss Reweighting for Distance-based OOD Detection. | Sudarshan Regmi, Bibek Panthi, Yifei Ming, Prashnna K. Gyawali, Danail Stoyanov, Binod Bhattarai |
| 2024 | MICCAI | Improving NeRF Representation with No Pose Prior for Novel View Synthesis in Colonoscopy. | Pedro Esteban Chavarrias-Solano, Binod Bhattarai, Sharib Ali |
| 2024 | MICCAI | Translating Simulation Images to X-Ray Images via Multi-scale Semantic Matching. | Jingxuan Kang, Tudor Jianu, Baoru Huang, Binod Bhattarai, Ngan Le, Frans Coenen, Anh Nguyen |
| 2024 | MICCAI | Active Label Refinement for Robust Training of Imbalanced Medical Image Classification Tasks in the Presence of High Label Noise. | Bidur Khanal, Tianhong Dai, Binod Bhattarai, Cristian A. Linte |
| 2024 | MICCAI | TTA-OOD: Test-Time Augmentation for Improving Out-of-Distribution Detection in Gastrointestinal Vision. | Sandesh Pokhrel, Sanjay Bhandari, Eduard Vazquez, Tryphon Lambrou, Prashnna K. Gyawali, Binod Bhattarai |
| 2024 | MICCAI | Cross-Task Data Augmentation by Pseudo-Label Generation for Region Based Coronary Artery Instance Segmentation. | Sandesh Pokhrel, Sanjay Bhandari, Eduard Vazquez, Yash Raj Shrestha, Binod Bhattarai |
| 2024 | MICCAI | CAR-MFL: Cross-Modal Augmentation by Retrieval for Multimodal Federated Learning with Missing Modalities. | Pranav Poudel, Prashant Shrestha, Sanskar Amgain, Yash Raj Shrestha, Prashnna K. Gyawali, Binod Bhattarai |
| 2024 | MICCAI | Task-Aware Active Learning for Endoscopic Polyp Segmentation. | Pranav Poudel, Shrawan Kumar Thapa, Sudarshan Regmi, Binod Bhattarai, Danail Stoyanov |
| 2024 | MICCAI | TE-SSL: Time and Event-Aware Self Supervised Learning for Alzheimer's Disease Progression Analysis. | Jacob Thrasher, Alina Devkota, Ahmad P. Tafti, Binod Bhattarai, Prashnna K. Gyawali |
| 2024 | WACV | TextAug: Test Time Text Augmentation for Multimodal Person Re-Identification. | Mulham Fawakherji, Eduard Vazquez, Pasquale Giampa, Binod Bhattarai |
| 2023 | CVPR | Why is the Winner the Best? | 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 Huaulm, Pierre Jannin, A. Emre Kavur, Oldrich Kodym, Michal Kozubek, Jianning Li, Hongwei Bran Li, Jun Ma, Carlos Martn-Isla, Bjoern H. Menze, J. Alison Noble, Valentin Oreiller, Nicolas Padoy, Sarthak Pati, Kelly Payette, Tim Rdsch, 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 Brngel, J. Cho, C. Choi, Qi Dou, Ivan Ezhov, Christoph M. Friedrich, C. Fuller, Rebati Raman Gaire, Adrian Galdran, lvaro Garca-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, lodie Puybareau, Nasir M. Rajpoot, K. Ryu, Numan Saeed, Adam Shephard, Pengcheng Shi, Dejan Stepec, Ronast Subedi, Guillaume Tochon, Helena R. Torres, Hlne Urien, Joo L. Vilaa, 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. Jger, Annette Kopp-Schneider, Lena Maier-Hein |
| 2023 | ICASSP | Joint Training of Hierarchical GANs and Semantic Segmentation for Expression Translation. | Rumeysa Bodur, Binod Bhattarai, Tae-Kyun Kim |
| 2023 | ICLR | Metric Transform: Exploring beyond Affine Transform for Neural Networks. | Suman Sapkota, Binod Bhattarai |
| 2023 | MICCAI | Improving Medical Image Classification in Noisy Labels Using only Self-supervised Pretraining. | Bidur Khanal, Binod Bhattarai, Bishesh Khanal, Cristian A. Linte |
| 2023 | MICCAI | Task-Guided Domain Gap Reduction for Monocular Depth Prediction in Endoscopy. | Anita Rau, Binod Bhattarai, Lourdes Agapito, Danail Stoyanov |
| 2023 | MICCAI | A Client-Server Deep Federated Learning for Cross-Domain Surgical Image Segmentation. | Ronast Subedi, Rebati Raman Gaire, Sharib Ali, Anh Nguyen, Danail Stoyanov, Binod Bhattarai |
| 2022 | BMVC | MoBYv2AL: Self-supervised Active Learning for Image Classification. | Razvan Caramalau, Binod Bhattarai, Danail Stoyanov, Tae-Kyun Kim |
| 2022 | ICMI | Generalized Product-of-Experts for Learning Multimodal Representations in Noisy Environments. | Abhinav Joshi, Naman Gupta, Jinang Shah, Binod Bhattarai, Ashutosh Modi, Danail Stoyanov |
| 2022 | IJCNLP | NepBERTa: Nepali Language Model Trained in a Large Corpus. | Sulav Timilsina, Milan Gautam, Binod Bhattarai |
| 2022 | ICPR | Label Geometry Aware Discriminator for Conditional Generative Adversarial Networks. | Suman Sapkota, Bidur Khanal, Binod Bhattarai, Bishesh Khanal, Tae-Kyun Kim |
| 2022 | MICCAI | UNet-eVAE: Iterative Refinement Using VAE Embodied Learning for Endoscopic Image Segmentation. | Soumya Gupta, Sharib Ali, Ziang Xu, Binod Bhattarai, Ben Turney, Jens Rittscher |
| 2021 | CVPR | Sequential Graph Convolutional Network for Active Learning. | Razvan Caramalau, Binod Bhattarai, Tae-Kyun Kim |
| 2021 | CVPR | Face Parsing From RGB and Depth Using Cross-Domain Mutual Learning. | Jihyun Lee, Binod Bhattarai, Tae-Kyun Kim |
| 2021 | WACV | 3D Dense Geometry-Guided Facial Expression Synthesis by Adversarial Learning. | Rumeysa Bodur, Binod Bhattarai, Tae-Kyun Kim |
| 2021 | WACV | Active Learning for Bayesian 3D Hand Pose Estimation. | Razvan Caramalau, Binod Bhattarai, Tae-Kyun Kim |
| 2020 | ACCV | MatchGAN: A Self-supervised Semi-supervised Conditional Generative Adversarial Network. | Jiaze Sun, Binod Bhattarai, Tae-Kyun Kim |
| 2020 | ECCV | Inducing Optimal Attribute Representations for Conditional GANs. | Binod Bhattarai, Tae-Kyun Kim |
| 2020 | ICASSP | Sampling Strategies for GAN Synthetic Data. | Binod Bhattarai, Seungryul Baek, Rumeysa Bodur, Tae-Kyun Kim |
| 2020 | ICASSP | Auglabel: Exploiting Word Representations to Augment Labels for Face Attribute Classification. | Binod Bhattarai, Rumeysa Bodur, Tae-Kyun Kim |
| 2020 | MICCAI | Additive Angular Margin for Few Shot Learning to Classify Clinical Endoscopy Images. | Sharib Ali, Binod Bhattarai, Tae-Kyun Kim, Jens Rittscher |
| 2018 | ECCV | Semi-supervised Adversarial Learning to Generate Photorealistic Face Images of New Identities from 3D Morphable Model. | Baris Gecer, Binod Bhattarai, Josef Kittler, Tae-Kyun Kim |
| 2016 | CVPR | CP-mtML: Coupled Projection Multi-Task Metric Learning for Large Scale Face Retrieval. | Binod Bhattarai, Gaurav Sharma, Frdric Jurie |
| 2016 | ICASSP | A joint learning approach for cross domain age estimation. | Binod Bhattarai, Gaurav Sharma, Alexis Lechervy, Frdric Jurie |
| 2014 | ECCV | Some Faces are More Equal than Others: Hierarchical Organization for Accurate and Efficient Large-Scale Identity-Based Face Retrieval. | Binod Bhattarai, Gaurav Sharma, Frdric Jurie, Patrick Prez |
| 2012 | COLING | Inducing Crosslingual Distributed Representations of Words. | Alexandre Klementiev, Ivan Titov, Binod Bhattarai |