Trung X. Pham

32 papers A* 8B 1Misc 1Journal 20Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Hidden Semantic Bottleneck in Conditional Embeddings of Diffusion Transformers.
CoRR
Trung X. Pham, Kang Zhang, Ji Woo Hong, Chang D. Yoo
2025 J jnl
E-MD3C: Taming Masked Diffusion Transformers for Efficient Zero-Shot Object Customization.
CoRR
Trung X. Pham, Kang Zhang, Ji Woo Hong, Xuran Zheng, Chang D. Yoo
2025 A* conf
ITA-MDT: Image-Timestep-Adaptive Masked Diffusion Transformer Framework for Image-Based Virtual Try-On.
CVPR
Ji Woo Hong, Tri Ton, Trung X. Pham, Gwanhyeong Koo, Sunjae Yoon, Chang D. Yoo
2025 J jnl
ITA-MDT: Image-Timestep-Adaptive Masked Diffusion Transformer Framework for Image-Based Virtual Try-On.
CoRR
Ji Woo Hong, Tri Ton, Trung X. Pham, Gwanhyeong Koo, Sunjae Yoon, Chang D. Yoo
2025 A* conf
MDSGen: Fast and Efficient Masked Diffusion Temporal-Aware Transformers for Open-Domain Sound Generation.
ICLR
Trung X. Pham, Tri Ton, Chang D. Yoo
2025 J jnl
Model-Guided Dual-Role Alignment for High-Fidelity Open-Domain Video-to-Audio Generation.
CoRR
Kang Zhang, Trung X. Pham, Suyeon Lee, Axi Niu, Arda Senocak, Joon Son Chung
2024 J jnl
ACDMSR: Accelerated Conditional Diffusion Models for Single Image Super-Resolution.
IEEE Trans. Broadcast.
Axi Niu, Trung X. Pham, Kang Zhang, Jinqiu Sun, Yu Zhu, Qingsen Yan, In So Kweon, Yanning Zhang
2024 A* conf
Cross-view Masked Diffusion Transformers for Person Image Synthesis.
ICML
Trung X. Pham, Kang Zhang, Chang D. Yoo
2024 J jnl
Cross-view Masked Diffusion Transformers for Person Image Synthesis.
CoRR
Trung X. Pham, Kang Zhang, Chang D. Yoo
2024 J jnl
MDSGen: Fast and Efficient Masked Diffusion Temporal-Aware Transformers for Open-Domain Sound Generation.
CoRR
Trung X. Pham, Tri Ton, Chang D. Yoo
2023 B conf
CDPMSR: Conditional Diffusion Probabilistic Models for Single Image Super-Resolution.
ICIP
Axi Niu, Kang Zhang, Trung X. Pham, Jinqiu Sun, Yu Zhu, In So Kweon, Yanning Zhang
2023 J jnl
CDPMSR: Conditional Diffusion Probabilistic Models for Single Image Super-Resolution.
CoRR
Axi Niu, Kang Zhang, Trung X. Pham, Jinqiu Sun, Yu Zhu, In So Kweon, Yanning Zhang
2023 J jnl
DifAugGAN: A Practical Diffusion-style Data Augmentation for GAN-based Single Image Super-resolution.
CoRR
Axi Niu, Kang Zhang, Joshua Tian Jin Tee, Trung X. Pham, Jinqiu Sun, Chang D. Yoo, In So Kweon, Yanning Zhang
2023 J jnl
DimCL: Dimensional Contrastive Learning For Improving Self-Supervised Learning.
CoRR
Thanh Xuan Nguyen, Trung X. Pham, Chaoning Zhang, Tung Minh Luu, Thang Vu, Chang D. Yoo
2023 J jnl
Learning from Multi-Perception Features for Real-Word Image Super-resolution.
CoRR
Axi Niu, Kang Zhang, Trung X. Pham, Pei Wang, Jinqiu Sun, In So Kweon, Yanning Zhang
2022 A* conf
Dual Temperature Helps Contrastive Learning Without Many Negative Samples: Towards Understanding and Simplifying MoCo.
CVPR
Chaoning Zhang, Kang Zhang, Trung X. Pham, Axi Niu, Zhinan Qiao, Chang D. Yoo, In So Kweon
2022 J jnl
Dual Temperature Helps Contrastive Learning Without Many Negative Samples: Towards Understanding and Simplifying MoCo.
CoRR
Chaoning Zhang, Kang Zhang, Trung X. Pham, Axi Niu, Zhinan Qiao, Chang D. Yoo, In So Kweon
2022 A* conf
How Does SimSiam Avoid Collapse Without Negative Samples? A Unified Understanding with Self-supervised Contrastive Learning.
ICLR
Chaoning Zhang, Kang Zhang, Chenshuang Zhang, Trung X. Pham, Chang D. Yoo, In So Kweon
2022 J jnl
How Does SimSiam Avoid Collapse Without Negative Samples? A Unified Understanding with Self-supervised Contrastive Learning.
CoRR
Chaoning Zhang, Kang Zhang, Chenshuang Zhang, Trung X. Pham, Chang D. Yoo, In So Kweon
2022 J jnl
On the Pros and Cons of Momentum Encoder in Self-Supervised Visual Representation Learning.
CoRR
Trung X. Pham, Chaoning Zhang, Axi Niu, Kang Zhang, Chang D. Yoo
2022 J jnl
Self-Supervised Visual Representation Learning via Residual Momentum.
CoRR
Trung X. Pham, Axi Niu, Kang Zhang, Sultan Rizky Hikmawan Madjid, Ji Woo Hong, Daehyeok Kim, Joshua Tian Jin Tee, Chang D. Yoo
2021 J jnl
Robust MAML: Prioritization task buffer with adaptive learning process for model-agnostic meta-learning.
CoRR
Thanh Xuan Nguyen, Tung Minh Luu, Trung X. Pham, Sanzhar Rakhimkul, Chang Dong Yoo
2021 Misc conf
Robust Maml: Prioritization Task Buffer with Adaptive Learning Process for Model-Agnostic Meta-Learning.
ICASSP
Thanh Xuan Nguyen, Tung Minh Luu, Trung X. Pham, Sanzhar Rakhimkul, Chang D. Yoo
2021 J jnl
Self-supervised Learning with Local Attention-Aware Feature.
CoRR
Trung X. Pham, Rusty John Lloyd Mina, Dias Issa, Chang D. Yoo
2020 A* conf
Learning Augmentation Network via Influence Functions.
CVPR
Donghoon Lee, Hyunsin Park, Trung X. Pham, Chang D. Yoo
2020 A* conf
Modality Shifting Attention Network for Multi-Modal Video Question Answering.
CVPR
Junyeong Kim, Minuk Ma, Trung X. Pham, Kyungsu Kim, Chang D. Yoo
2020 J jnl
Modality Shifting Attention Network for Multi-modal Video Question Answering.
CoRR
Junyeong Kim, Minuk Ma, Trung X. Pham, Kyungsu Kim, Chang D. Yoo
2019 A* conf
Cascade RPN: Delving into High-Quality Region Proposal Network with Adaptive Convolution.
NeurIPS
Thang Vu, Hyunjun Jang, Trung X. Pham, Chang Dong Yoo
2019 J jnl
Cascade RPN: Delving into High-Quality Region Proposal Network with Adaptive Convolution.
CoRR
Thang Vu, Hyunjun Jang, Trung X. Pham, Chang D. Yoo
2018 — conf
Fast and Efficient Image Quality Enhancement via Desubpixel Convolutional Neural Networks.
ECCV Workshops (5)
Thang Vu, Cao Van Nguyen, Trung X. Pham, Tung Minh Luu, Chang D. Yoo
2018 — conf
PIRM Challenge on Perceptual Image Enhancement on Smartphones: Report.
ECCV Workshops (5)
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
2018 J jnl
PIRM Challenge on Perceptual Image Enhancement on Smartphones: Report.
CoRR
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