Nguyen, Khanh

10 publications

ICLR 2025 DocMIA: Document-Level Membership Inference Attacks Against DocVQA Models Khanh Nguyen, Raouf Kerkouche, Mario Fritz, Dimosthenis Karatzas

TMLR 2025 NeurIPS 2023 Competition: Privacy Preserving Federated Learning Document VQA Marlon Tobaben, Mohamed Ali Souibgui, Rubèn Tito, Khanh Nguyen, Raouf Kerkouche, Kangsoo Jung, Joonas Jälkö, Lei Kang, Andrey Barsky, Vincent Poulain d'Andecy, Aurélie Joseph, Aashiq Muhamed, Kevin Kuo, Virginia Smith, Yusuke Yamasaki, Takumi Fukami, Kenta Niwa, Iifan Tyou, Hiro Ishii, Rio Yokota, Ragul N, Rintu Kutum, Josep Llados, Ernest Valveny, Antti Honkela, Mario Fritz, Dimosthenis Karatzas

CVPR 2025 Occlusion-Aware Text-Image-Point Cloud Pretraining for Open-World 3D Object Recognition Khanh Nguyen, Ghulam Mubashar Hassan, Ajmal Mian

NeurIPSW 2023 Progressively Efficient Communication Khanh Nguyen, Ruijie Zheng, Hal Daumé Iii, Furong Huang, Karthik Narasimhan

AAAI 2023 Show, Interpret and Tell: Entity-Aware Contextualised Image Captioning in Wikipedia Khanh Nguyen, Ali Furkan Biten, Andrés Mafla, Lluís Gómez, Dimosthenis Karatzas

WACV 2023 Uncertainty-Aware Label Distribution Learning for Facial Expression Recognition Nhat Le, Khanh Nguyen, Quang Tran, Erman Tjiputra, Bac Le, Anh Nguyen

MLJ 2022 Improving Kernel Online Learning with a Snapshot Memory Trung Le, Khanh Nguyen, Dinh Q. Phung

ACML 2018 Clustering Induced Kernel Learning Khanh Nguyen, Nhan Dam, Trung Le, Tu Dinh Nguyen, Dinh Phung

IJCAI 2017 Nonparametric Online Machine Learning with Kernels Khanh Nguyen

ACML 2016 Multiple Kernel Learning with Data Augmentation Khanh Nguyen, Trung Le, Vu Nguyen, Tu Nguyen, Dinh Phung