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.
1. Introduction Diffusion models are rising as a powerful solution for high-fidelity image generatio(...)
31/07/2023
1. Introduction Based on the closed-form solution of Wasserstein distance in one dimension, Sliced W(...)
31/07/2023
1. Introduction As the Wasserstein (WS) distance is a powerful and convenient tool of measuring clos(...)
25/07/2023
1. Introduction Existing 3D instance segmentation methods are predominated by the bottom-up design â(...)
21/07/2023
1. Introduction Any-scale image synthesis is efficient and scalable, but GAN-based solutions rely to(...)
18/07/2023
Motivations: Advancements in neural TTS technology have led to significant improvements in producing(...)
11/07/2023
Hue Nguyen and her team were awarded the Best Paper (Honorable Mention) at the Winter Conference on (...)
18/01/2023
1. Introduction We introduce a new problem in 3D point cloud: few-shot instance segmentation (3DFSIS(...)
01/11/2022
1. Motivations The masked language model BERT and its variants, pre-trained on large-scale corpora(...)
27/10/2022
1. Introduction 1.1. Problem setup This paper addresses a new task of Few-Shot object Counting and D(...)
27/10/2022
1. Introduction Sampling from an unnormalized target distribution that we know the density function (...)
27/10/2022
1. Introduction The field of NLP has achieved remarkable success in recent years, thanks to the deve(...)
25/10/2022