A Monitoring System in Real Time based on Android Platform. - Trung Xuan Pham; Chien Van Dang; Tri Minh Ngo; Ki-Je Sung; Tran Trung Tin; Jong-Wook Kim (IMCOM, 2016)

Identification of In-Home Appliances through Analysis of Current Consumption. - Tran Trung Tin; Gidong Lee; Trung Xuan Pham; Geun-Jun Kim; Dang Van Chien; Jong-Wook Kim; Bongsoon Kang (IMCOM, 2016)

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 017; Jiewen Ran; Chen Xing; et al. (ECCV Workshops (5), 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 (ECCV Workshops (5), 2018)

Cascade RPN: Delving into High-Quality Region Proposal Network with Adaptive Convolution. - Thang Vu; Hyunjun Jang; Trung X. Pham; Chang Dong Yoo (NeurIPS, 2019)

Modality Shifting Attention Network for Multi-Modal Video Question Answering. - Junyeong Kim; Minuk Ma; Trung X. Pham; Kyungsu Kim 003; Chang D. Yoo (CVPR, 2020)

Learning Augmentation Network via Influence Functions. - Donghoon Lee; Hyunsin Park; Trung X. Pham; Chang D. Yoo (CVPR, 2020)

Robust Maml: Prioritization Task Buffer with Adaptive Learning Process for Model-Agnostic Meta-Learning. - Thanh Xuan Nguyen; Tung Minh Luu; Trung X. Pham; Sanzhar Rakhimkul; Chang D. Yoo (ICASSP, 2021)

Self-supervised Learning with Local Attention-Aware Feature. - Trung X. Pham; Rusty John Lloyd Mina; Dias Issa; Chang D. Yoo (CoRR, 2021)

Dual Temperature Helps Contrastive Learning Without Many Negative Samples: Towards Understanding and Simplifying MoCo. - Chaoning Zhang; Kang Zhang 008; Trung X. Pham; Axi Niu; Zhinan Qiao; Chang D. Yoo; In So Kweon (CVPR, 2022)

How Does SimSiam Avoid Collapse Without Negative Samples? A Unified Understanding with Self-supervised Contrastive Learning. - Chaoning Zhang; Kang Zhang 008; Chenshuang Zhang; Trung X. Pham; Chang D. Yoo; In So Kweon (ICLR, 2022)

LAD: A Hybrid Deep Learning System for Benign Paroxysmal Positional Vertigo Disorders Diagnostic. - Trung Xuan Pham; Jin Woong Choi; Rusty John Lloyd Mina; Thanh Xuan Nguyen; Sultan Rizky Hikmawan Madjid; Chang D. Yoo (IEEE Access, 2022)

On the Pros and Cons of Momentum Encoder in Self-Supervised Visual Representation Learning. - Trung X. Pham; Chaoning Zhang; Axi Niu; Kang Zhang 008; Chang D. Yoo (CoRR, 2022)

Self-Supervised Visual Representation Learning via Residual Momentum. - Trung X. Pham; Axi Niu; Kang Zhang 008; Sultan Rizky Hikmawan Madjid; Ji Woo Hong; Daehyeok Kim; Joshua Tian Jin Tee; Chang D. Yoo (CoRR, 2022)

BPPV videos dataset samples. - Trung Xuan Pham (IEEE DataPort, 2022)

CDPMSR: Conditional Diffusion Probabilistic Models for Single Image Super-Resolution. - Axi Niu; Kang Zhang 008; Trung X. Pham; Jinqiu Sun; Yu Zhu 004; In So Kweon; Yanning Zhang 001 (ICIP, 2023)

DimCL: Dimensional Contrastive Learning for Improving Self-Supervised Learning. - Thanh Xuan Nguyen; Trung Xuan Pham; Chaoning Zhang; Tung Minh Luu; Thang Vu; Chang D. Yoo (IEEE Access, 2023)

Self-Supervised Visual Representation Learning via Residual Momentum. - Trung Xuan Pham; Axi Niu; Kang Zhang 008; Joshua Tian Jin Tee; Ji Woo Hong; Chang D. Yoo (IEEE Access, 2023)

ACDMSR: Accelerated Conditional Diffusion Models for Single Image Super-Resolution. - Axi Niu; Trung Xuan Pham; Kang Zhang 008; Jinqiu Sun; Yu Zhu 004; In So Kweon; Yanning Zhang 001 (CoRR, 2023)

DifAugGAN: A Practical Diffusion-style Data Augmentation for GAN-based Single Image Super-resolution. - Axi Niu; Kang Zhang 008; Joshua Tian Jin Tee; Trung X. Pham; Jinqiu Sun; Chang D. Yoo; In So Kweon; Yanning Zhang 001 (CoRR, 2023)

Cross-view Masked Diffusion Transformers for Person Image Synthesis. - Trung X. Pham; Kang Zhang 008; Chang D. Yoo (ICML, 2024)

ACDMSR: Accelerated Conditional Diffusion Models for Single Image Super-Resolution. - Axi Niu; Trung X. Pham; Kang Zhang 008; Jinqiu Sun; Yu Zhu 004; Qingsen Yan; In So Kweon; Yanning Zhang 001 (IEEE Trans. Broadcast., 2024)

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 (CVPR, 2025)

MDSGen: Fast and Efficient Masked Diffusion Temporal-Aware Transformers for Open-Domain Sound Generation. - Trung X. Pham; Tri Ton; Chang D. Yoo (ICLR, 2025)

E-MD3C: Taming Masked Diffusion Transformers for Efficient Zero-Shot Object Customization. - Trung X. Pham; Kang Zhang 008; Ji Woo Hong; Xuran Zheng; Chang D. Yoo (CoRR, 2025)

Learning From Multi-Perception Features for Real-Word Image Super-Resolution. - Axi Niu; Kang Zhang 008; Trung Xuan Pham; Pei Wang; Jinqiu Sun; In So Kweon; Yanning Zhang 001 (IEEE Trans. Circuits Syst. Video Technol., 2025)