Thao Minh Le

According to our database, Thao Minh Le authored at least 21 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Towards Agentic AI for Multimodal-Guided Video Object Segmentation.

Tuyen Tran, Thao Minh Le, Truyen Tran

CoRR, August, 2025

Planner-Refiner: Dynamic Space-Time Refinement for Vision-Language Alignment in Videos.

Tuyen Tran, Thao Minh Le, Quang-Hung Le, Truyen Tran

CoRR, August, 2025

Finding the Trigger: Causal Abductive Reasoning on Video Events.

Thao Minh Le, Vuong Le, Kien Do, Sunil Gupta, Svetha Venkatesh, Truyen Tran

CoRR, January, 2025

amVAE: Age-aware multimorbidity clustering using variational autoencoders.

Nikolaj Normann Holm, Thao Minh Le, Anne Frølich, Ove Andersen, Helle Gybel Juul-Larsen, Anders Stockmarr, Svetha Venkatesh

Comput. Biol. Medicine, 2025

Progressive Multi-granular Alignments for Grounded Reasoning in Large Vision-Language Models.

Quang-Hung Le, Long Hoang Dang, Ngan Hoang Le, Truyen Tran, Thao Minh Le

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Progressive Multi-granular Alignments for Grounded Reasoning in Large Vision-Language Models.

Quang-Hung Le, Long Hoang Dang, Ngan Le, Truyen Tran, Thao Minh Le

CoRR, 2024

Unified Framework with Consistency across Modalities for Human Activity Recognition.

Tuyen Tran, Thao Minh Le, Hung Tran, Truyen Tran

CoRR, 2024

SADL: An Effective In-Context Learning Method for Compositional Visual QA.

Long Hoang Dang, Thao Minh Le, Vuong Le, Tu Minh Phuong, Truyen Tran

CoRR, 2024

Unified Compositional Query Machine with Multimodal Consistency for Video-based Human Activity Recognition.

Tuyen Tran, Thao Minh Le, Duy Hung Tran, Truyen Tran

Proceedings of the 35th British Machine Vision Conference, 2024

2023

Guiding Visual Question Answering with Attention Priors.

Thao Minh Le, Vuong Le, Sunil Gupta, Svetha Venkatesh, Truyen Tran

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

2022

GEFA: Early Fusion Approach in Drug-Target Affinity Prediction.

Tri Minh Nguyen, Thin Nguyen, Thao Minh Le, Truyen Tran

IEEE ACM Trans. Comput. Biol. Bioinform., 2022

Deep Neural Networks for Visual Reasoning.

Thao Minh Le

CoRR, 2022

Video Dialog as Conversation About Objects Living in Space-Time.

Hoang-Anh Pham, Thao Minh Le, Vuong Le, Tu Minh Phuong, Truyen Tran

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Hierarchical Conditional Relation Networks for Multimodal Video Question Answering.

Thao Minh Le, Vuong Le, Svetha Venkatesh, Truyen Tran

Int. J. Comput. Vis., 2021

From Deep Learning to Deep Reasoning.

Truyen Tran, Vuong Le, Hung Le, Thao Minh Le

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Object-Centric Representation Learning for Video Question Answering.

Long Hoang Dang, Thao Minh Le, Vuong Le, Truyen Tran

Proceedings of the International Joint Conference on Neural Networks, 2021

Hierarchical Object-oriented Spatio-Temporal Reasoning for Video Question Answering.

Long Hoang Dang, Thao Minh Le, Vuong Le, Truyen Tran

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020

Neural Reasoning, Fast and Slow, for Video Question Answering.

Thao Minh Le, Vuong Le, Svetha Venkatesh, Truyen Tran

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Dynamic Language Binding in Relational Visual Reasoning.

Thao Minh Le, Vuong Le, Svetha Venkatesh, Truyen Tran

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Hierarchical Conditional Relation Networks for Video Question Answering.

Thao Minh Le, Vuong Le, Svetha Venkatesh, Truyen Tran

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Learning to Reason with Relational Video Representation for Question Answering.

Thao Minh Le, Vuong Le, Svetha Venkatesh, Truyen Tran

CoRR, 2019