Pham, Trung X.

9 publications

CVPR 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
ICLR 2025 MDSGen: Fast and Efficient Masked Diffusion Temporal-Aware Transformers for Open-Domain Sound Generation Trung X. Pham, Tri Ton, Chang D. Yoo
NeurIPS 2025 Model-Guided Dual-Role Alignment for High-Fidelity Open-Domain Video-to-Audio Generation Kang Zhang, Trung X. Pham, Suyeon Lee, Axi Niu, Arda Senocak, Joon Son Chung
ICML 2024 Cross-View Masked Diffusion Transformers for Person Image Synthesis Trung X. Pham, Kang Zhang, Chang D. Yoo
CVPR 2022 Dual Temperature Helps Contrastive Learning Without Many Negative Samples: Towards Understanding and Simplifying MoCo Chaoning Zhang, Kang Zhang, Trung X. Pham, Axi Niu, Zhinan Qiao, Chang D. Yoo, In So Kweon
ICLR 2022 How Does SimSiam Avoid Collapse Without Negative Samples? a Unified Understanding with Self-Supervised Contrastive Learning Chaoning Zhang, Kang Zhang, Chenshuang Zhang, Trung X. Pham, Chang D. Yoo, In So Kweon
NeurIPS 2019 Cascade RPN: Delving into High-Quality Region Proposal Network with Adaptive Convolution Thang Vu, Hyunjun Jang, Trung X. Pham, Chang Yoo
ECCVW 2018 Fast and Efficient Image Quality Enhancement via Desubpixel Convolutional Neural Networks Thang Vu, Cao Van Nguyen, Trung X. Pham, Tung Minh Luu, Chang D. Yoo
ECCVW 2018 PIRM Challenge on Perceptual Image Enhancement on Smartphones: Report Andrey Ignatov, Radu Timofte, Thang Van Vu, Tung Minh Luu, Trung X. Pham, Cao Van Nguyen, Yongwoo Kim, Jae-Seok Choi, Munchurl Kim, Jie Huang, Jiewen Ran, Chen Xing, Xingguang Zhou, Pengfei Zhu, Mingrui Geng, Yawei Li, Eirikur Agustsson, Shuhang Gu, Luc Van Gool, Etienne de Stoutz, Nikolay Kobyshev, Kehui Nie, Yan Zhao, Gen Li, Tong Tong, Qinquan Gao, Hanwen Liu, Pablo Navarrete Michelini, Dan Zhu, Hu Fengshuo, Zheng Hui, Xiumei Wang, Lirui Deng, Rang Meng, Jinghui Qin, Yukai Shi, Wushao Wen, Liang Lin, Ruicheng Feng, Shixiang Wu, Chao Dong, Yu Qiao, Subeesh Vasu, Thekke Madam Nimisha, Praveen Kandula, A. N. Rajagopalan, Jie Liu, Cheolkon Jung