Inducing Crosslingual Distributed Representations of Words. - Alexandre Klementiev; Ivan Titov 001; Binod Bhattarai (COLING, 2012)

Some Faces are More Equal than Others: Hierarchical Organization for Accurate and Efficient Large-Scale Identity-Based Face Retrieval. - Binod Bhattarai; Gaurav Sharma 004; Frédéric Jurie; Patrick Pérez (ECCV Workshops (2), 2014)

Puzzling face verification algorithms for privacy protection. - Binod Bhattarai; Alexis Mignon; Frédéric Jurie; Teddy Furon (WIFS, 2014)

CP-mtML: Coupled Projection Multi-Task Metric Learning for Large Scale Face Retrieval. - Binod Bhattarai; Gaurav Sharma 004; Frédéric Jurie (CVPR, 2016)

A joint learning approach for cross domain age estimation. - Binod Bhattarai; Gaurav Sharma 004; Alexis Lechervy; Frédéric Jurie (ICASSP, 2016)

Deep fusion of visual signatures for client-server facial analysis. - Binod Bhattarai; Gaurav Sharma 004; Frédéric Jurie (ICVGIP, 2016)

Development of face analysis approximation methods by machine learning. (Développement de méthodes de rapprochement physionomique par apprentissage machine). - Binod Bhattarai (2016)

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 001 (ECCV (11), 2018)

MatchGAN: A Self-supervised Semi-supervised Conditional Generative Adversarial Network. - Jiaze Sun; Binod Bhattarai; Tae-Kyun Kim 001 (ACCV (4), 2020)

Inducing Optimal Attribute Representations for Conditional GANs. - Binod Bhattarai; Tae-Kyun Kim 001 (ECCV (7), 2020)

Sampling Strategies for GAN Synthetic Data. - Binod Bhattarai; Seungryul Baek; Rumeysa Bodur; Tae-Kyun Kim 001 (ICASSP, 2020)

Auglabel: Exploiting Word Representations to Augment Labels for Face Attribute Classification. - Binod Bhattarai; Rumeysa Bodur; Tae-Kyun Kim 001 (ICASSP, 2020)

Additive Angular Margin for Few Shot Learning to Classify Clinical Endoscopy Images. - Sharib Ali; Binod Bhattarai; Tae-Kyun Kim 001; Jens Rittscher (MLMI@MICCAI, 2020)

Sequential Graph Convolutional Network for Active Learning. - Razvan Caramalau; Binod Bhattarai; Tae-Kyun Kim 001 (CVPR, 2021)

Face Parsing From RGB and Depth Using Cross-Domain Mutual Learning. - Jihyun Lee; Binod Bhattarai; Tae-Kyun Kim 001 (CVPR Workshops, 2021)

3D Dense Geometry-Guided Facial Expression Synthesis by Adversarial Learning. - Rumeysa Bodur; Binod Bhattarai; Tae-Kyun Kim 001 (WACV, 2021)

Active Learning for Bayesian 3D Hand Pose Estimation. - Razvan Caramalau; Binod Bhattarai; Tae-Kyun Kim 001 (WACV, 2021)

Label Geometry Aware Discriminator for Conditional Generative Networks. - Suman Sapkota; Bidur Khanal; Binod Bhattarai; Bishesh Khanal; Tae-Kyun Kim 001 (CoRR, 2021)

Visual Transformer for Task-aware Active Learning. - Razvan Caramalau; Binod Bhattarai; Tae-Kyun Kim 001 (CoRR, 2021)

Input Invex Neural Network. - Suman Sapkota; Binod Bhattarai (CoRR, 2021)

Brand Label Albedo Extraction of eCommerce Products using Generative Adversarial Network. - Suman Sapkota; Manish Juneja; Laurynas Keleras; Pranav Kotwal; Binod Bhattarai (CoRR, 2021)

SeCGAN: Parallel Conditional Generative Adversarial Networks for Face Editing via Semantic Consistency. - Jiaze Sun; Binod Bhattarai; Zhixiang Chen 003; Tae-Kyun Kim 001 (CoRR, 2021)

A Unified Architecture of Semantic Segmentation and Hierarchical Generative Adversarial Networks for Expression Manipulation. - Rumeysa Bodur; Binod Bhattarai; Tae-Kyun Kim 001 (CoRR, 2021)

MoBYv2AL: Self-supervised Active Learning for Image Classification. - Razvan Caramalau; Binod Bhattarai; Danail Stoyanov; Tae-Kyun Kim 001 (BMVC, 2022)

Generalized Product-of-Experts for Learning Multimodal Representations in Noisy Environments. - Abhinav Joshi; Naman Gupta; Jinang Shah; Binod Bhattarai; Ashutosh Modi; Danail Stoyanov (ICMI, 2022)

Label Geometry Aware Discriminator for Conditional Generative Adversarial Networks. - Suman Sapkota; Bidur Khanal; Binod Bhattarai; Bishesh Khanal; Tae-Kyun Kim 001 (ICPR, 2022)

NepBERTa: Nepali Language Model Trained in a Large Corpus. - Sulav Timilsina; Milan Gautam; Binod Bhattarai (AACL/IJCNLP (2), 2022)

UNet-eVAE: Iterative Refinement Using VAE Embodied Learning for Endoscopic Image Segmentation. - Soumya Gupta 001; Sharib Ali; Ziang Xu 001; Binod Bhattarai; Ben Turney; Jens Rittscher (MLMI@MICCAI, 2022)

Histogram of Oriented Gradients Meet Deep Learning: A Novel Multi-task Deep Network for Medical Image Semantic Segmentation. - Binod Bhattarai; Ronast Subedi; Rebati Raman Gaire; Eduard Vazquez; Danail Stoyanov (CoRR, 2022)

Task-Aware Active Learning for Endoscopic Image Analysis. - Shrawan Kumar Thapa; Pranav Poudel; Binod Bhattarai; Danail Stoyanov (CoRR, 2022)

Bimodal Camera Pose Prediction for Endoscopy. - Anita Rau; Binod Bhattarai; Lourdes Agapito; Danail Stoyanov (CoRR, 2022)

FetReg2021: A Challenge on Placental Vessel Segmentation and Registration in Fetoscopy. - Sophia Bano; Alessandro Casella; Francisco Vasconcelos 001; Abdul Qayyum; Abdesslam Benzinou; Moona Mazher; Fabrice Mériaudeau; Chiara Lena; Ilaria Anita Cintorrino; Gaia Romana De Paolis; Jessica Biagioli; Daria Grechishnikova; et al. (CoRR, 2022)

Noisy Heuristics NAS: A Network Morphism based Neural Architecture Search using Heuristics. - Suman Sapkota; Binod Bhattarai (CoRR, 2022)

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; et al. (CVPR, 2023)

Joint Training of Hierarchical GANs and Semantic Segmentation for Expression Translation. - Rumeysa Bodur; Binod Bhattarai; Tae-Kyun Kim 001 (ICASSP, 2023)

Metric Transform: Exploring beyond Affine Transform for Neural Networks. - Suman Sapkota; Binod Bhattarai (Tiny Papers @ ICLR, 2023)

Improving Medical Image Classification in Noisy Labels Using only Self-supervised Pretraining. - Bidur Khanal; Binod Bhattarai; Bishesh Khanal; Cristian A. Linte (DEMI@MICCAI, 2023)

Task-Guided Domain Gap Reduction for Monocular Depth Prediction in Endoscopy. - Anita Rau; Binod Bhattarai; Lourdes Agapito; Danail Stoyanov (DEMI@MICCAI, 2023)

A Client-Server Deep Federated Learning for Cross-Domain Surgical Image Segmentation. - Ronast Subedi; Rebati Raman Gaire; Sharib Ali; Anh Nguyen 003; Danail Stoyanov; Binod Bhattarai (DEMI@MICCAI, 2023)

M-VAAL: Multimodal Variational Adversarial Active Learning for Downstream Medical Image Analysis Tasks. - Bidur Khanal; Binod Bhattarai; Bishesh Khanal; Danail Stoyanov; Cristian A. Linte (MIUA, 2023)

Neural Network Pruning for Real-Time Polyp Segmentation. - Suman Sapkota; Pranav Poudel; Sudarshan Regmi; Bibek Panthi; Binod Bhattarai (MIUA, 2023)

T2FNorm: Extremely Simple Scaled Train-time Feature Normalization for OOD Detection. - Sudarshan Regmi; Bibek Panthi; Sakar Dotel; Prashnna K. Gyawali; Danail Stoyanov; Binod Bhattarai (CoRR, 2023)

ConvNeXtv2 Fusion with Mask R-CNN for Automatic Region Based Coronary Artery Stenosis Detection for Disease Diagnosis. - Sandesh Pokhrel; Sanjay Bhandari; Eduard Vazquez; Yash Raj Shrestha; Binod Bhattarai (CoRR, 2023)

Data Augmentation through Pseudolabels in Automatic Region Based Coronary Artery Segmentation for Disease Diagnosis. - Sandesh Pokhrel; Sanjay Bhandari; Eduard Vazquez; Yash Raj Shrestha; Binod Bhattarai (CoRR, 2023)

Multimodal Federated Learning in Healthcare: a review. - Jacob Thrasher; Alina Devkota; Prasiddha Siwakotai; Rohit Chivukula; Pranav Poudel; Chaunbo Hu; Binod Bhattarai; Prashnna K. Gyawali (CoRR, 2023)

Importance Estimation with Random Gradient for Neural Network Pruning. - Suman Sapkota; Binod Bhattarai (CoRR, 2023)

Dimension Mixer: A Generalized Method for Structured Sparsity in Deep Neural Networks. - Suman Sapkota; Binod Bhattarai (CoRR, 2023)

Federated Active Learning for Target Domain Generalisation. - Razvan Caramalau; Binod Bhattarai; Danail Stoyanov (CoRR, 2023)

Medical Vision Language Pretraining: A survey. - Prashant Shrestha; Sanskar Amgain; Bidur Khanal; Cristian A. Linte; Binod Bhattarai (CoRR, 2023)

Histogram of Oriented Gradients meet deep learning: A novel multi-task deep network for 2D surgical image semantic segmentation. - Binod Bhattarai; Ronast Subedi; Rebati Raman Gaire; Eduard Vazquez; Danail Stoyanov (Medical Image Anal., 2023)

CholecTriplet2022: Show me a tool and tell me the triplet - An endoscopic vision challenge for surgical action triplet detection. - Chinedu Innocent Nwoye; Tong Yu 009; Saurav Sharma; Aditya Murali; Deepak Alapatt; Armine Vardazaryan; Kun Yuan 004; Jonas Hajek; Wolfgang Reiter; Amine Yamlahi; Finn-Henri Smidt; Xiaoyang Zou; et al. (Medical Image Anal., 2023)

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 003 (ACCV (5), 2024)

Prompt Augmentation for Self-supervised Text-guided Image Manipulation. - Rumeysa Bodur; Binod Bhattarai; Tae-Kyun Kim 001 (CVPR, 2024)

iEdit: Localised Text-guided Image Editing with Weak Supervision. - Rumeysa Bodur; Erhan Gundogdu; Binod Bhattarai; Tae-Kyun Kim 001; Michael Donoser; Loris Bazzani (CVPR Workshops, 2024)

T2FNorm: Train-time Feature Normalization for OOD Detection in Image Classification. - Sudarshan Regmi; Bibek Panthi; Sakar Dotel; Prashnna K. Gyawali; Danail Stoyanov; Binod Bhattarai (CVPR Workshops, 2024)

ReweightOOD: Loss Reweighting for Distance-based OOD Detection. - Sudarshan Regmi; Bibek Panthi; Yifei Ming; Prashnna K. Gyawali; Danail Stoyanov; Binod Bhattarai (CVPR Workshops, 2024)

Investigating the Robustness of Vision Transformers against Label Noise in Medical Image Classification. - Bidur Khanal; Prashant Shrestha; Sanskar Amgain; Bishesh Khanal; Binod Bhattarai; Cristian A. Linte (EMBC, 2024)

Improving NeRF Representation with No Pose Prior for Novel View Synthesis in Colonoscopy. - Pedro Esteban Chavarrias-Solano; Binod Bhattarai; Sharib Ali (DEMI@MICCAI, 2024)

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 003 (DEMI@MICCAI, 2024)

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 (MICCAI (11), 2024)

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 (DEMI@MICCAI, 2024)

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 (DEMI@MICCAI, 2024)

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 (MICCAI (10), 2024)

Task-Aware Active Learning for Endoscopic Polyp Segmentation. - Pranav Poudel; Shrawan Kumar Thapa; Sudarshan Regmi; Binod Bhattarai; Danail Stoyanov (DEMI@MICCAI, 2024)

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 (MICCAI (12), 2024)

TextAug: Test Time Text Augmentation for Multimodal Person Re-Identification. - Mulham Fawakherji; Eduard Vazquez; Pasquale Giampa; Binod Bhattarai (WACV (Workshops), 2024)

How does self-supervised pretraining improve robustness against noisy labels across various medical image classification datasets? - Bidur Khanal; Binod Bhattarai; Bishesh Khanal; Cristian A. Linte (CoRR, 2024)

Investigation of Federated Learning Algorithms for Retinal Optical Coherence Tomography Image Classification with Statistical Heterogeneity. - Sanskar Amgain; Prashant Shrestha; Sophia Bano; Ignacio del Valle Torres; Michael Cunniffe; Victor Hernandez; Phil Beales; Binod Bhattarai (CoRR, 2024)

TE-SSL: Time and Event-aware Self Supervised Learning for Alzheimer's Disease Progression Analysis. - Jacob Thrasher; Alina Devkota; Ahmed Tafti; Binod Bhattarai; Prashnna K. Gyawali (CoRR, 2024)

CathAction: A Benchmark for Endovascular Intervention Understanding. - 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; et al. (CoRR, 2024)

NCDD: Nearest Centroid Distance Deficit for Out-Of-Distribution Detection in Gastrointestinal Vision. - Sandesh Pokhrel; Sanjay Bhandari; Sharib Ali; Tryphon Lambrou; Anh Nguyen 003; Yash Raj Shrestha; Angus Watson; Danail Stoyanov; Prashnna K. Gyawali; Binod Bhattarai (CoRR, 2024)

Placental vessel segmentation and registration in fetoscopy: Literature review and MICCAI FetReg2021 challenge findings. - Sophia Bano; Alessandro Casella; Francisco Vasconcelos 001; Abdul Qayyum; Abdesslam Benzinou; Moona Mazher; Fabrice Mériaudeau; Chiara Lena; Ilaria Anita Cintorrino; Gaia Romana De Paolis; Jessica Biagioli; Daria Grechishnikova; et al. (Medical Image Anal., 2024)

Dimension Mixer: Group Mixing of Input Dimensions for Efficient Function Approximation. - Suman Sapkota; Binod Bhattarai (CPAL, 2025)

Out-of-Distribution Detection in Gastrointestinal Vision by Estimating Nearest Centroid Distance Deficit. - Sandesh Pokhrel; Sanjay Bhandari; Sharib Ali; Tryphon Lambrou; Anh Nguyen 003; Yash Raj Shrestha; Angus Watson; Danail Stoyanov; Prashnna K. Gyawali; Binod Bhattarai (MIUA (2), 2025)

Multimodal Federated Learning with Missing Modalities Through Feature Imputation Network. - Pranav Poudel; Aavash Chhetri; Prashnna K. Gyawali; Georgios Leontidis; Binod Bhattarai (MIUA (1), 2025)

Surgical Vision World Model. - Saurabh Koju; Saurav Bastola; Prashant Shrestha; Sanskar Amgain; Yash Raj Shrestha; Rudra P. K. Poudel; Binod Bhattarai (CoRR, 2025)

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 (CoRR, 2025)

Federated Foundation Model for GI Endoscopy Images. - Alina Devkota; Annahita Amireskandari; Joel Palko; Shyam Thakkar; Donald Adjeroh; Xiajun Jiang; Binod Bhattarai; Prashnna K. Gyawali (CoRR, 2025)

NERO: Explainable Out-of-Distribution Detection with Neuron-level Relevance. - Anju Chhetri; Jari Korhonen; Prashnna K. Gyawali; Binod Bhattarai (CoRR, 2025)

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 (CoRR, 2025)

Effect of Data Augmentation on Conformal Prediction for Diabetic Retinopathy. - Rizwan Ahamed; Annahita Amireskandari; Joel Palko; Carol Laxson; Binod Bhattarai; Prashnna K. Gyawali (CoRR, 2025)