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ORCIDBinod Bhattarai
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- affiliation: Imperial College London, UK
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2020 – today
- 2025
[e2]Binod Bhattarai, Sharib Ali, Anita Rau, Razvan Caramalau, Anh Nguyen, Prashnna Gyawali, Ana I. L. Namburete
, Danail Stoyanov:
Data Engineering in Medical Imaging - Second MICCAI Workshop, DEMI 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024, Proceedings. Lecture Notes in Computer Science 15265, Springer 2025, ISBN 978-3-031-73747-3 [contents]- 2024
- [j3]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: 103066 (2024) - [c42]Sudarshan Regmi, Bibek Panthi, Yifei Ming, Prashnna K. Gyawali, Danail Stoyanov, Binod Bhattarai:
ReweightOOD: Loss Reweighting for Distance-based OOD Detection. CVPR Workshops 2024: 131-141 - [c41]Sudarshan Regmi, Bibek Panthi, Sakar Dotel, Prashnna K. Gyawali, Danail Stoyanov, Binod Bhattarai:
T2FNorm: Train-time Feature Normalization for OOD Detection in Image Classification. CVPR Workshops 2024: 153-162 - [c40]Rumeysa Bodur, Erhan Gundogdu, Binod Bhattarai, Tae-Kyun Kim, Michael Donoser, Loris Bazzani:
iEdit: Localised Text-guided Image Editing with Weak Supervision. CVPR Workshops 2024: 7426-7435 - [c39]Rumeysa Bodur, Binod Bhattarai, Tae-Kyun Kim:
Prompt Augmentation for Self-supervised Text-guided Image Manipulation. CVPR 2024: 8829-8838 - [c38]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. DEMI@MICCAI 2024: 33-42 - [c37]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. MICCAI (11) 2024: 37-47 - [c36]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. DEMI@MICCAI 2024: 95-104 - [c35]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. MICCAI (10) 2024: 102-112 - [c34]Pedro Esteban Chavarrias-Solano, Binod Bhattarai, Sharib Ali:
Improving NeRF Representation with No Pose Prior for Novel View Synthesis in Colonoscopy. DEMI@MICCAI 2024: 144-154 - [c33]Pranav Poudel, Shrawan Kumar Thapa, Sudarshan Regmi, Binod Bhattarai, Danail Stoyanov:
Task-Aware Active Learning for Endoscopic Polyp Segmentation. DEMI@MICCAI 2024: 155-165 - [c32]Sandesh Pokhrel, Sanjay Bhandari, Eduard Vazquez, Yash Raj Shrestha, Binod Bhattarai:
Cross-Task Data Augmentation by Pseudo-Label Generation for Region Based Coronary Artery Instance Segmentation. DEMI@MICCAI 2024: 166-175 - [c31]Jacob Thrasher, Alina Devkota, Ahmad P. Tafti, Binod Bhattarai, Prashnna K. Gyawali:
TE-SSL: Time and Event-Aware Self Supervised Learning for Alzheimer's Disease Progression Analysis. MICCAI (12) 2024: 324-333 - [c30]Mulham Fawakherji, Eduard Vazquez, Pasquale Giampa, Binod Bhattarai:
TextAug: Test Time Text Augmentation for Multimodal Person Re-Identification. WACV (Workshops) 2024: 320-329 - [i50]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 abs/2401.07990 (2024) - [i49]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 abs/2402.10035 (2024) - [i48]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 abs/2402.16734 (2024) - [i47]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 abs/2407.05973 (2024) - [i46]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 abs/2407.06852 (2024) - [i45]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 abs/2407.08648 (2024) - [i44]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 abs/2407.14024 (2024) - [i43]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:
CathAction: A Benchmark for Endovascular Intervention Understanding. CoRR abs/2408.13126 (2024) - [i42]Tudor Jianu, Baoru Huang, Hoan Nguyen, Binod Bhattarai, Tuong Do, Erman Tjiputra, Quang Tran, Pierre Berthet-Rayne, Ngan Le, Sebastiano Fichera, Anh Nguyen:
Guide3D: A Bi-planar X-ray Dataset for 3D Shape Reconstruction. CoRR abs/2410.22224 (2024) - 2023
- [j2]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: 102747 (2023) - [j1]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: 102888 (2023) - [c29]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, Z. Zhao, Klaus H. Maier-Hein, Paul F. Jäger, Annette Kopp-Schneider, Lena Maier-Hein:
Why is the Winner the Best? CVPR 2023: 19955-19966 - [c28]Rumeysa Bodur, Binod Bhattarai, Tae-Kyun Kim:
Joint Training of Hierarchical GANs and Semantic Segmentation for Expression Translation. ICASSP 2023: 1-5 - [c27]Suman Sapkota, Binod Bhattarai:
Metric Transform: Exploring beyond Affine Transform for Neural Networks. Tiny Papers @ ICLR 2023 - [c26]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: 21-33 - [c25]Bidur Khanal, Binod Bhattarai, Bishesh Khanal, Cristian A. Linte:
Improving Medical Image Classification in Noisy Labels Using only Self-supervised Pretraining. DEMI@MICCAI 2023: 78-90 - [c24]Anita Rau, Binod Bhattarai, Lourdes Agapito, Danail Stoyanov:
Task-Guided Domain Gap Reduction for Monocular Depth Prediction in Endoscopy. DEMI@MICCAI 2023: 111-122 - [c23]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: 48-63 - [c22]Suman Sapkota, Pranav Poudel, Sudarshan Regmi, Bibek Panthi, Binod Bhattarai:
Neural Network Pruning for Real-Time Polyp Segmentation. MIUA 2023: 298-309 - [e1]Binod Bhattarai, Sharib Ali, Anita Rau, Anh Nguyen, Ana I. L. Namburete, Razvan Caramalau, Danail Stoyanov:
Data Engineering in Medical Imaging - First MICCAI Workshop, DEMI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings. Lecture Notes in Computer Science 14314, Springer 2023, ISBN 978-3-031-44991-8 [contents] - [i41]Razvan Caramalau, Binod Bhattarai, Danail Stoyanov, Tae-Kyun Kim:
MoBYv2AL: Self-supervised Active Learning for Image Classification. CoRR abs/2301.01531 (2023) - [i40]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 abs/2302.06294 (2023) - [i39]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 abs/2304.07693 (2023) - [i38]Rumeysa Bodur, Erhan Gundogdu, Binod Bhattarai, Tae-Kyun Kim, Michael Donoser, Loris Bazzani:
iEdit: Localised Text-guided Image Editing with Weak Supervision. CoRR abs/2305.05947 (2023) - [i37]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 abs/2305.17797 (2023) - [i36]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 abs/2306.08720 (2023) - [i35]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 abs/2306.12376 (2023) - [i34]Suman Sapkota, Pranav Poudel, Sudarshan Regmi, Bibek Panthi, Binod Bhattarai:
Neural Network Pruning for Real-time Polyp Segmentation. CoRR abs/2306.13203 (2023) - [i33]Bidur Khanal, Binod Bhattarai, Bishesh Khanal, Cristian A. Linte:
Improving Medical Image Classification in Noisy Labels Using Only Self-supervised Pretraining. CoRR abs/2308.04551 (2023) - [i32]Anita Rau, Binod Bhattarai, Lourdes Agapito, Danail Stoyanov:
Task-guided Domain Gap Reduction for Monocular Depth Prediction in Endoscopy. CoRR abs/2310.01663 (2023) - [i31]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 abs/2310.04749 (2023) - [i30]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 abs/2310.05990 (2023) - [i29]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 abs/2310.09650 (2023) - [i28]Suman Sapkota, Binod Bhattarai:
Importance Estimation with Random Gradient for Neural Network Pruning. CoRR abs/2310.20203 (2023) - [i27]Suman Sapkota, Binod Bhattarai:
Dimension Mixer: A Generalized Method for Structured Sparsity in Deep Neural Networks. CoRR abs/2311.18735 (2023) - [i26]Mulham Fawakherji, Eduard Vazquez, Pasquale Giampa, Binod Bhattarai:
TextAug: Test time Text Augmentation for Multimodal Person Re-identification. CoRR abs/2312.01605 (2023) - [i25]Razvan Caramalau, Binod Bhattarai, Danail Stoyanov:
Federated Active Learning for Target Domain Generalisation. CoRR abs/2312.02247 (2023) - [i24]Prashant Shrestha, Sanskar Amgain, Bidur Khanal, Cristian A. Linte, Binod Bhattarai:
Medical Vision Language Pretraining: A survey. CoRR abs/2312.06224 (2023) - 2022
- [c21]Razvan Caramalau, Binod Bhattarai, Danail Stoyanov, Tae-Kyun Kim:
MoBYv2AL: Self-supervised Active Learning for Image Classification. BMVC 2022: 674 - [c20]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: 83-93 - [c19]Suman Sapkota, Bidur Khanal, Binod Bhattarai, Bishesh Khanal, Tae-Kyun Kim:
Label Geometry Aware Discriminator for Conditional Generative Adversarial Networks. ICPR 2022: 2914-2920 - [c18]Sulav Timilsina, Milan Gautam, Binod Bhattarai:
NepBERTa: Nepali Language Model Trained in a Large Corpus. AACL/IJCNLP (2) 2022: 273-284 - [c17]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: 161-170 - [i23]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 abs/2204.01712 (2022) - [i22]Shrawan Kumar Thapa, Pranav Poudel, Binod Bhattarai, Danail Stoyanov:
Task-Aware Active Learning for Endoscopic Image Analysis. CoRR abs/2204.03440 (2022) - [i21]Anita Rau, Binod Bhattarai, Lourdes Agapito, Danail Stoyanov:
Bimodal Camera Pose Prediction for Endoscopy. CoRR abs/2204.04968 (2022) - [i20]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 abs/2206.12512 (2022) - [i19]Suman Sapkota, Binod Bhattarai:
Noisy Heuristics NAS: A Network Morphism based Neural Architecture Search using Heuristics. CoRR abs/2207.04467 (2022) - [i18]Abhinav Joshi, Naman Gupta, Jinang Shah, Binod Bhattarai, Ashutosh Modi, Danail Stoyanov:
Generalized Product-of-Experts for Learning Multimodal Representations in Noisy Environments. CoRR abs/2211.03587 (2022) - 2021
- [c16]Jihyun Lee, Binod Bhattarai, Tae-Kyun Kim:
Face Parsing From RGB and Depth Using Cross-Domain Mutual Learning. CVPR Workshops 2021: 1501-1510 - [c15]Razvan Caramalau, Binod Bhattarai, Tae-Kyun Kim:
Sequential Graph Convolutional Network for Active Learning. CVPR 2021: 9583-9592 - [c14]Rumeysa Bodur, Binod Bhattarai, Tae-Kyun Kim:
3D Dense Geometry-Guided Facial Expression Synthesis by Adversarial Learning. WACV 2021: 2391-2400 - [c13]Razvan Caramalau, Binod Bhattarai, Tae-Kyun Kim:
Active Learning for Bayesian 3D Hand Pose Estimation. WACV 2021: 3418-3427 - [i17]Suman Sapkota, Bidur Khanal, Binod Bhattarai, Bishesh Khanal, Tae-Kyun Kim:
Label Geometry Aware Discriminator for Conditional Generative Networks. CoRR abs/2105.05501 (2021) - [i16]Razvan Caramalau, Binod Bhattarai, Tae-Kyun Kim:
Visual Transformer for Task-aware Active Learning. CoRR abs/2106.03801 (2021) - [i15]Suman Sapkota, Binod Bhattarai:
Input Invex Neural Network. CoRR abs/2106.08748 (2021) - [i14]Suman Sapkota, Manish Juneja, Laurynas Keleras, Pranav Kotwal, Binod Bhattarai:
Brand Label Albedo Extraction of eCommerce Products using Generative Adversarial Network. CoRR abs/2109.02929 (2021) - [i13]Jiaze Sun, Binod Bhattarai, Zhixiang Chen, Tae-Kyun Kim:
SeCGAN: Parallel Conditional Generative Adversarial Networks for Face Editing via Semantic Consistency. CoRR abs/2111.09298 (2021) - [i12]Rumeysa Bodur, Binod Bhattarai, Tae-Kyun Kim:
A Unified Architecture of Semantic Segmentation and Hierarchical Generative Adversarial Networks for Expression Manipulation. CoRR abs/2112.04603 (2021) - 2020
- [c12]Jiaze Sun, Binod Bhattarai, Tae-Kyun Kim:
MatchGAN: A Self-supervised Semi-supervised Conditional Generative Adversarial Network. ACCV (4) 2020: 608-623 - [c11]Binod Bhattarai, Tae-Kyun Kim:
Inducing Optimal Attribute Representations for Conditional GANs. ECCV (7) 2020: 69-85 - [c10]Binod Bhattarai, Seungryul Baek, Rumeysa Bodur, Tae-Kyun Kim:
Sampling Strategies for GAN Synthetic Data. ICASSP 2020: 2303-2307 - [c9]Binod Bhattarai, Rumeysa Bodur, Tae-Kyun Kim:
Auglabel: Exploiting Word Representations to Augment Labels for Face Attribute Classification. ICASSP 2020: 2308-2312 - [c8]Sharib Ali, Binod Bhattarai, Tae-Kyun Kim, Jens Rittscher:
Additive Angular Margin for Few Shot Learning to Classify Clinical Endoscopy Images. MLMI@MICCAI 2020: 494-503 - [i11]Binod Bhattarai, Tae-Kyun Kim:
Inducing Optimal Attribute Representations for Conditional GANs. CoRR abs/2003.06472 (2020) - [i10]Sharib Ali, Binod Bhattarai, Tae-Kyun Kim, Jens Rittscher:
Additive Angular Margin for Few Shot Learning to Classify Clinical Endoscopy Images. CoRR abs/2003.10033 (2020) - [i9]Jiaze Sun, Binod Bhattarai, Tae-Kyun Kim:
MatchGAN: A Self-Supervised Semi-Supervised Conditional Generative Adversarial Network. CoRR abs/2006.06614 (2020) - [i8]Razvan Caramalau, Binod Bhattarai, Tae-Kyun Kim:
Sequential Graph Convolutional Network for Active Learning. CoRR abs/2006.10219 (2020) - [i7]Rumeysa Bodur, Binod Bhattarai, Tae-Kyun Kim:
3D Dense Geometry-Guided Facial Expression Synthesis by Adversarial Learning. CoRR abs/2009.14798 (2020) - [i6]Razvan Caramalau, Binod Bhattarai, Tae-Kyun Kim:
Active Learning for Bayesian 3D Hand Pose Estimation. CoRR abs/2010.00694 (2020)
2010 – 2019
- 2019
- [i5]Binod Bhattarai, Rumeysa Bodur, Tae-Kyun Kim:
AugLabel: Exploiting Word Representations to Augment Labels for Face Attribute Classification. CoRR abs/1907.06757 (2019) - [i4]Binod Bhattarai, Seungryul Baek, Rumeysa Bodur, Tae-Kyun Kim:
Sampling Strategies for GAN Synthetic Data. CoRR abs/1909.04689 (2019) - 2018
- [c7]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: 230-248 - [i3]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 abs/1804.03675 (2018) - 2016
- [b1]Binod Bhattarai:
Development of face analysis approximation methods by machine learning. (Développement de méthodes de rapprochement physionomique par apprentissage machine). Normandy University, France, 2016 - [c6]Binod Bhattarai, Gaurav Sharma, Frédéric Jurie:
CP-mtML: Coupled Projection Multi-Task Metric Learning for Large Scale Face Retrieval. CVPR 2016: 4226-4235 - [c5]Binod Bhattarai, Gaurav Sharma, Alexis Lechervy, Frédéric Jurie:
A joint learning approach for cross domain age estimation. ICASSP 2016: 1901-1905 - [c4]Binod Bhattarai, Gaurav Sharma, Frédéric Jurie:
Deep fusion of visual signatures for client-server facial analysis. ICVGIP 2016: 42:1-42:8 - [i2]Binod Bhattarai, Gaurav Sharma, Frédéric Jurie:
CP-mtML: Coupled Projection multi-task Metric Learning for Large Scale Face Retrieval. CoRR abs/1604.02975 (2016) - [i1]Binod Bhattarai, Gaurav Sharma, Frédéric Jurie:
Deep fusion of visual signatures for client-server facial analysis. CoRR abs/1611.00142 (2016) - 2014
- [c3]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: 160-172 - [c2]Binod Bhattarai, Alexis Mignon, Frédéric Jurie, Teddy Furon:
Puzzling face verification algorithms for privacy protection. WIFS 2014: 66-71 - 2012
- [c1]Alexandre Klementiev, Ivan Titov, Binod Bhattarai:
Inducing Crosslingual Distributed Representations of Words. COLING 2012: 1459-1474
Coauthor Index
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