Tri Ton

According to our database, Tri Ton authored at least 8 papers between 2024 and 2025.

Collaborative distances:

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

2025

TARO: Timestep-Adaptive Representation Alignment with Onset-Aware Conditioning for Synchronized Video-to-Audio Synthesis.

Tri Ton, Ji Woo Hong, Chang D. Yoo

CoRR, April, 2025

MDSGen: Fast and Efficient Masked Diffusion Temporal-Aware Transformers for Open-Domain Sound Generation.

Trung X. Pham, Tri Ton, Chang D. Yoo

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

ITA-MDT: Image-Timestep-Adaptive Masked Diffusion Transformer Framework for Image-Based Virtual Try-On.

Ji Woo Hong, Tri Ton, Trung X. Pham, Gwanhyeong Koo, Sunjae Yoon, Chang D. Yoo

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

On the Perturbed States for Transformed Input-robust Reinforcement Learning.

Tung Minh Luu, Haeyong Kang, Tri Ton, Thanh Nguyen, Chang D. Yoo

CoRR, 2024

Towards Robust Policy: Enhancing Offline Reinforcement Learning with Adversarial Attacks and Defenses.

Thanh Xuan Nguyen, Tung Minh Luu, Tri Ton, Chang D. Yoo

CoRR, 2024

Uncertainty-Aware Rank-One MIMO Q Network Framework for Accelerated Offline Reinforcement Learning.

Thanh Xuan Nguyen, Tung Minh Luu, Tri Ton, Sungwoong Kim, Chang D. Yoo

IEEE Access, 2024

Towards Robust Policy: Enhancing Offline Reinforcement Learning with Adversarial Attacks and Defenses.

Thanh Nguyen, Tung Minh Luu, Tri Ton, Chang D. Yoo

Proceedings of the Pattern Recognition and Artificial Intelligence, 2024

Zero-Shot Dual-Path Integration Framework for Open-Vocabulary 3D Instance Segmentation.

Tri Ton, Ji Woo Hong, SooHwan Eom, Jun Yeop Shim, Junyeong Kim, Chang D. Yoo

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024