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Trung X. Pham
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2020 – today
- 2024
- [j4]Axi Niu, Trung X. Pham, Kang Zhang, Jinqiu Sun, Yu Zhu, Qingsen Yan, In So Kweon, Yanning Zhang:
ACDMSR: Accelerated Conditional Diffusion Models for Single Image Super-Resolution. IEEE Trans. Broadcast. 70(2): 492-504 (2024) - [c12]Trung X. Pham, Kang Zhang, Chang D. Yoo:
Cross-view Masked Diffusion Transformers for Person Image Synthesis. ICML 2024 - [i17]Trung X. Pham, Kang Zhang, Chang D. Yoo:
Cross-view Masked Diffusion Transformers for Person Image Synthesis. CoRR abs/2402.01516 (2024) - [i16]Trung X. Pham, Tri Ton, Chang D. Yoo:
MDSGen: Fast and Efficient Masked Diffusion Temporal-Aware Transformers for Open-Domain Sound Generation. CoRR abs/2410.02130 (2024) - 2023
- [j3]Thanh Xuan Nguyen, Trung Xuan Pham, Chaoning Zhang, Tung Minh Luu, Thang Vu, Chang D. Yoo:
DimCL: Dimensional Contrastive Learning for Improving Self-Supervised Learning. IEEE Access 11: 21534-21545 (2023) - [j2]Trung Xuan Pham, Axi Niu, Kang Zhang, Joshua Tian Jin Tee, Ji Woo Hong, Chang D. Yoo:
Self-Supervised Visual Representation Learning via Residual Momentum. IEEE Access 11: 116706-116720 (2023) - [c11]Axi Niu, Kang Zhang, Trung X. Pham, Jinqiu Sun, Yu Zhu, In So Kweon, Yanning Zhang:
CDPMSR: Conditional Diffusion Probabilistic Models for Single Image Super-Resolution. ICIP 2023: 615-619 - [i15]Axi Niu, Kang Zhang, Trung X. Pham, Jinqiu Sun, Yu Zhu, In So Kweon, Yanning Zhang:
CDPMSR: Conditional Diffusion Probabilistic Models for Single Image Super-Resolution. CoRR abs/2302.12831 (2023) - [i14]Axi Niu, Kang Zhang, Trung X. Pham, Pei Wang, Jinqiu Sun, In So Kweon, Yanning Zhang:
Learning from Multi-Perception Features for Real-Word Image Super-resolution. CoRR abs/2305.18547 (2023) - [i13]Axi Niu, Trung Xuan Pham, Kang Zhang, Jinqiu Sun, Yu Zhu, In So Kweon, Yanning Zhang:
ACDMSR: Accelerated Conditional Diffusion Models for Single Image Super-Resolution. CoRR abs/2307.00781 (2023) - [i12]Thanh Xuan Nguyen, Trung X. Pham, Chaoning Zhang, Tung Minh Luu, Thang Vu, Chang D. Yoo:
DimCL: Dimensional Contrastive Learning For Improving Self-Supervised Learning. CoRR abs/2309.11782 (2023) - [i11]Axi Niu, Kang Zhang, Joshua Tian Jin Tee, Trung X. Pham, Jinqiu Sun, Chang D. Yoo, In So Kweon, Yanning Zhang:
DifAugGAN: A Practical Diffusion-style Data Augmentation for GAN-based Single Image Super-resolution. CoRR abs/2311.18508 (2023) - 2022
- [j1]Trung Xuan Pham, Jin Woong Choi, Rusty John Lloyd Mina, Thanh Xuan Nguyen, Sultan Rizky Hikmawan Madjid, Chang D. Yoo:
LAD: A Hybrid Deep Learning System for Benign Paroxysmal Positional Vertigo Disorders Diagnostic. IEEE Access 10: 113995-114007 (2022) - [c10]Chaoning Zhang, Kang Zhang, Trung X. Pham, Axi Niu, Zhinan Qiao, Chang D. Yoo, In So Kweon:
Dual Temperature Helps Contrastive Learning Without Many Negative Samples: Towards Understanding and Simplifying MoCo. CVPR 2022: 14421-14430 - [c9]Chaoning Zhang, Kang Zhang, Chenshuang Zhang, Trung X. Pham, Chang D. Yoo, In So Kweon:
How Does SimSiam Avoid Collapse Without Negative Samples? A Unified Understanding with Self-supervised Contrastive Learning. ICLR 2022 - [d1]Trung Xuan Pham:
BPPV videos dataset samples. IEEE DataPort, 2022 - [i10]Chaoning Zhang, Kang Zhang, Chenshuang Zhang, Trung X. Pham, Chang D. Yoo, In So Kweon:
How Does SimSiam Avoid Collapse Without Negative Samples? A Unified Understanding with Self-supervised Contrastive Learning. CoRR abs/2203.16262 (2022) - [i9]Chaoning Zhang, Kang Zhang, Trung X. Pham, Axi Niu, Zhinan Qiao, Chang D. Yoo, In So Kweon:
Dual Temperature Helps Contrastive Learning Without Many Negative Samples: Towards Understanding and Simplifying MoCo. CoRR abs/2203.17248 (2022) - [i8]Trung X. Pham, Chaoning Zhang, Axi Niu, Kang Zhang, Chang D. Yoo:
On the Pros and Cons of Momentum Encoder in Self-Supervised Visual Representation Learning. CoRR abs/2208.05744 (2022) - [i7]Trung Xuan Pham, Jin Woong Choi, Rusty John Lloyd Mina, Thanh Xuan Nguyen, Sultan Rizky Hikmawan Madjid, Chang Dong Yoo:
LAD: A Hybrid Deep Learning System for Benign Paroxysmal Positional Vertigo Disorders Diagnostic. CoRR abs/2210.08282 (2022) - [i6]Trung X. Pham, Axi Niu, Kang Zhang, Sultan Rizky Hikmawan Madjid, Ji Woo Hong, Daehyeok Kim, Joshua Tian Jin Tee, Chang D. Yoo:
Self-Supervised Visual Representation Learning via Residual Momentum. CoRR abs/2211.09861 (2022) - 2021
- [c8]Thanh Xuan Nguyen, Tung Minh Luu, Trung X. Pham, Sanzhar Rakhimkul, Chang D. Yoo:
Robust Maml: Prioritization Task Buffer with Adaptive Learning Process for Model-Agnostic Meta-Learning. ICASSP 2021: 3460-3464 - [i5]Thanh Xuan Nguyen, Tung Minh Luu, Trung X. Pham, Sanzhar Rakhimkul, Chang Dong Yoo:
Robust MAML: Prioritization task buffer with adaptive learning process for model-agnostic meta-learning. CoRR abs/2103.08233 (2021) - [i4]Trung X. Pham, Rusty John Lloyd Mina, Dias Issa, Chang D. Yoo:
Self-supervised Learning with Local Attention-Aware Feature. CoRR abs/2108.00475 (2021) - 2020
- [c7]Junyeong Kim, Minuk Ma, Trung X. Pham, Kyungsu Kim, Chang D. Yoo:
Modality Shifting Attention Network for Multi-Modal Video Question Answering. CVPR 2020: 10103-10112 - [c6]Donghoon Lee, Hyunsin Park, Trung X. Pham, Chang D. Yoo:
Learning Augmentation Network via Influence Functions. CVPR 2020: 10958-10967 - [i3]Junyeong Kim, Minuk Ma, Trung X. Pham, Kyungsu Kim, Chang D. Yoo:
Modality Shifting Attention Network for Multi-modal Video Question Answering. CoRR abs/2007.02036 (2020)
2010 – 2019
- 2019
- [c5]Thang Vu, Hyunjun Jang, Trung X. Pham, Chang Dong Yoo:
Cascade RPN: Delving into High-Quality Region Proposal Network with Adaptive Convolution. NeurIPS 2019: 1430-1440 - [i2]Thang Vu, Hyunjun Jang, Trung X. Pham, Chang D. Yoo:
Cascade RPN: Delving into High-Quality Region Proposal Network with Adaptive Convolution. CoRR abs/1909.06720 (2019) - 2018
- [c4]Thang Vu, Cao Van Nguyen, Trung X. Pham, Tung Minh Luu, Chang D. Yoo:
Fast and Efficient Image Quality Enhancement via Desubpixel Convolutional Neural Networks. ECCV Workshops (5) 2018: 243-259 - [c3]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:
PIRM Challenge on Perceptual Image Enhancement on Smartphones: Report. ECCV Workshops (5) 2018: 315-333 - [i1]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:
PIRM Challenge on Perceptual Image Enhancement on Smartphones: Report. CoRR abs/1810.01641 (2018) - 2016
- [c2]Tran Trung Tin, Gidong Lee, Trung Xuan Pham, Geun-Jun Kim, Dang Van Chien, Jong-Wook Kim, Bongsoon Kang:
Identification of In-Home Appliances through Analysis of Current Consumption. IMCOM 2016: 15:1-15:5 - [c1]Trung Xuan Pham, Chien Van Dang, Tri Minh Ngo, Ki-Je Sung, Tran Trung Tin, Jong-Wook Kim:
A Monitoring System in Real Time based on Android Platform. IMCOM 2016: 29:1-29:4
Coauthor Index
aka: Chang D. Yoo
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