Focusing on Machine Learning, Computer Vision, and Natural Language Processing, our research aims to address fundamental problems in these areas and develop practical methods that enable impactful applications. As part of the Vingroup ecosystem, we are well-positioned to be at the forefront of the digitalization of customer experience via AI-based systems that can understand natural human interactions through voices, gestures, behaviors, or from smart sensors and devices. Due to our unique location we are also naturally drawn towards problems for developing countries, which might otherwise be overlooked in the research community.
Focusing on Machine Learning, Computer Vision, and Natural Language Processing, our research aims to address fundamental problems in these areas and develop practical methods that enable impactful applications. As part of the Vingroup ecosystem, we are well-positioned to be at the forefront of the digitalization of customer experience via AI-based systems that can understand natural human interactions through voices, gestures, behaviors, or from smart sensors and devices. Due to our unique location we are also naturally drawn towards problems for developing countries, which might otherwise be overlooked in the research community.
Focusing on Machine Learning, Computer Vision, and Natural Language Processing, our research aims to address fundamental problems in these areas and develop practical methods that enable impactful applications. As part of the Vingroup ecosystem, we are well-positioned to be at the forefront of the digitalization of customer experience via AI-based systems that can understand natural human interactions through voices, gestures, behaviors, or from smart sensors and devices. Due to our unique location we are also naturally drawn towards problems for developing countries, which might otherwise be overlooked in the research community.
Chuanxia Zheng, Tung-Long Vuong, Jianfei Cai, Dinh Phung (NeurIPS 2022)
Dat Nguyen*, Phong Tran*, Tan Dinh, Cuong Pham, Anh Tran (NeurIPS 2022)
Learning White Noises in Neural Stochastic Differential Equations
Anh Tong, Thanh Nguyen-Tang, Toan Tran, Jaesik Choi (NeurIPS 2022)
Stochastic Multiple Target Sampling Gradient Descent
Phan Viet Hoang, Ngoc Tran Ngo Quang, Trung Le, Toan Tran, Nhat Ho, Dinh Phung (NeurIPS 2022)
Tuan-Anh Vu, Duc Thanh Nguyen, Binh-Son Hua, Quang-Hieu Pham, Sai-Kit Yeung (ECCV 2022)
Neural Scene Decoration from a Single Photograph
Hong-Wing Pang, Yingshu Chen, Phuoc-Hieu Le, Binh-Son Hua, Duc Thanh Nguyen, Sai-Kit Yeung (ECCV 2022)
TISE: Bag of Metrics for Text-to-Image Synthesis Evaluation
Tan M. Dinh*, Rang Nguyen, Binh-Son Hua (ECCV 2022)
Inductive and Transductive Few-Shot Video Classification via Appearance and Temporal Alignments
Khoi D. Nguyen, Quoc-Huy Tran, Khoi Nguyen, Binh-Son Hua, Rang Nguyen (ECCV 2022)
Tuan Duc Ngo*; Khoi Nguyen (ECCV 2022)
Few-shot Object Counting and Detection
Thanh Van Nguyen*; Chau Hai Pham; Khoi Nguyen; Minh Hoai (ECCV 2022)
Investigating the Impact of ASR Errors on Spoken Implicit Discourse Relation Recognition
Linh The Nguyen and Dat Quoc Nguyen (Workshop On Transcript Understanding 2022)
Disfluency Detection for Vietnamese
Mai Hoang Dao, Thinh Hung Truong, Dat Quoc Nguyen (WNUT 2022)