A new approach using the Viterbi algorithm in stereo correspondence problem. - Son Tran; Seiichi Mita (SMC (3), 2004)

Efficient 3D Binary Image Skeletonization. - Son Tran; Liwen Shih (CSB Workshops, 2005)

MapReduce Programming Model for Matrix Computations. - Son Tran (CSC, 2010)

A Codeword Visualization Tool for Dense Trajectory Feature. - Sang Phan; Vu Lam; Son Tran; Thanh Duc Ngo; Duy-Dinh Le; Shin'ichi Satoh 001 (ICME Workshops, 2012)

Object-Oriented Knowledge Bases in Logic Programming. - Vinay K. Chaudhri; Stijn Heymans; Son Tran; Michael A. Wessel (Theory Pract. Log. Program., 2013)

Multimedia Event Detection Using Segment-Based Approach for Motion Feature. - Sang Phan; Thanh Duc Ngo; Vu Lam; Son Tran; Duy-Dinh Le; Duc Anh Duong; Shin'ichi Satoh 001 (J. Signal Process. Syst., 2014)

Representation decomposition for knowledge extraction and sharing using restricted Boltzmann machines. - Son Tran (2016)

Bidding in Periodic Double Auctions Using Heuristics and Dynamic Monte Carlo Tree Search. - Moinul Morshed Porag Chowdhury; Christopher Kiekintveld; Son Tran; William Yeoh 001 (IJCAI, 2018)

An Architecture for Simulating Drones in Mixed Reality Games to Explore Future Search and Rescue Scenarios. - Ahmed S. Khalaf; Poom Pianpak; Sultan A. Alharthi; Zahra NaminiMianji; Ruth C. Torres; Son Tran; Igor Dolgov; Phoebe O. Toups Dugas (ISCRAM, 2018)

Reinforcement Learning Framework to Identify Cause of Diseases - Predicting Asthma Attack Case. - Quan T. Do; Son Tran; Alexa K. Doig (IEEE BigData, 2019)

A Taxonomy for Selecting Wearable Input Devices for Mixed Reality. - Ahmed S. Khalaf; Sultan A. Alharthi; Son Tran; Igor Dolgov; Phoebe O. Toups Dugas (ISS, 2019)

Searching for Apparel Products from Images in the Wild. - Son Tran; Ming Du; Sampath Chanda; R. Manmatha; Cj Taylor (CoRR, 2019)

A Framework of Input Devices to Support Designing Composite Wearable Computers. - Ahmed S. Khalaf; Sultan A. Alharthi; Bill Hamilton 001; Igor Dolgov; Son Tran; Phoebe O. Toups Dugas (HCI (2), 2020)

SensCapsNet: Deep Neural Network for Non-Obtrusive Sensing Based Human Activity Recognition. - Cuong Pham 001; Thai Son Nguyen; Huy Tran-Quang 002; Son Tran; Hai Vu; Thanh-Hai Tran 001; Thi-Lan Le (IEEE Access, 2020)

Limits of Intelligence and Design Implication. - Son Tran; Sophie Alyx Taylor; Dan V. Nicolau (BICT, 2021)

MLIM: Vision-and-Language Model Pre-training with Masked Language and Image Modeling. - Tarik Arici; Mehmet Saygin Seyfioglu; Tal Neiman; Yi Xu 011; Son Tran; Trishul Chilimbi; Belinda Zeng; Ismail B. Tutar (CoRR, 2021)

Multi-modal Alignment using Representation Codebook. - Jiali Duan; Liqun Chen 001; Son Tran; Jinyu Yang; Yi Xu 011; Belinda Zeng; Trishul Chilimbi (CVPR, 2022)

Vision-Language Pre-Training with Triple Contrastive Learning. - Jinyu Yang; Jiali Duan; Son Tran; Yi Xu 011; Sampath Chanda; Liqun Chen 001; Belinda Zeng; Trishul Chilimbi; Junzhou Huang (CVPR, 2022)

Amazon Shop the Look: A Visual Search System for Fashion and Home. - Ming Du; Arnau Ramisa; Amit Kumar K. C; Sampath Chanda; Mengjiao Wang 002; Neelakandan Rajesh; Shasha Li 001; Yingchuan Hu; Tao Zhou; Nagashri Lakshminarayana; Son Tran; Doug Gray 001 (KDD, 2022)

Why do We Need Large Batchsizes in Contrastive Learning? A Gradient-Bias Perspective. - Changyou Chen; Jianyi Zhang; Yi Xu 011; Liqun Chen 001; Jiali Duan; Yiran Chen 001; Son Tran; Belinda Zeng; Trishul Chilimbi (NeurIPS, 2022)

ProVLA: Compositional Image Search with Progressive Vision-Language Alignment and Multimodal Fusion. - Zhizhang Hu; Xinliang Zhu; Son Tran; René Vidal; Arnab Dhua (ICCV (Workshops), 2023)

A Logic-based Explanation Generation Framework for Classical and Hybrid Planning Problems (Extended Abstract). - Stylianos Loukas Vasileiou; William Yeoh 001; Son Tran; Ashwin Kumar; Michael Cashmore; Daniele Magazzeni (IJCAI, 2023)

SurveyLM: A platform to explore emerging value perspectives in augmented language models' behaviors. - Steve J. Bickley; Ho Fai Chan; Bang Dao; Benno Torgler; Son Tran (CoRR, 2023)

UnsMOT: Unified Framework for Unsupervised Multi-Object Tracking with Geometric Topology Guidance. - Son Tran; Cong Tran; Anh Dat Tran; Cuong Pham 001 (CoRR, 2023)

VidLA: Video-Language Alignment at Scale. - Mamshad Nayeem Rizve; Fan Fei 002; Jayakrishnan Unnikrishnan; Son Tran; Benjamin Z. Yao; Belinda Zeng; Mubarak Shah; Trishul Chilimbi (CVPR, 2024)

Open Vocabulary Multi-label Video Classification. - Rohit Gupta 012; Mamshad Nayeem Rizve; Jayakrishnan Unnikrishnan; Ashish Tawari; Son Tran; Mubarak Shah; Benjamin Z. Yao; Trishul Chilimbi (ECCV (39), 2024)

X-Former: Unifying Contrastive and Reconstruction Learning for MLLMs. - Sirnam Swetha; Jinyu Yang; Tal Neiman; Mamshad Nayeem Rizve; Son Tran; Benjamin Z. Yao; Trishul Chilimbi; Mubarak Shah (ECCV (6), 2024)

Predicting Diabetes in Canadian Adults Using Machine Learning. - Kayla Esser; Monica Duong; Khalil Kain; Son Tran; Aryan Sadeghi; Aziz Guergachi; Karim Keshavjee; Mohammad Noaeen; Zahra Shakeri (EMBC, 2024)

Towards Robust Extractive Question Answering Models: Rethinking the Training Methodology. - Son Tran; Matt Kretchmar (EMNLP (Findings), 2024)

Bringing Multimodality to Amazon Visual Search System. - Xinliang Zhu; Sheng-Wei Huang; Han Ding 004; Jinyu Yang; Kelvin Chen; Tao Zhou; Tal Neiman; Ouye Xie; Son Tran; Benjamin Z. Yao; Douglas Gray 001; Anuj Bindal; et al. (KDD, 2024)

The Model to Automatically Detect Dead Laying Hens and the Deployment in the Farm. - Ngo Quoc Viet; Yen Thai; Son Tran; Phap Ha (KSE, 2024)

VLUE: A New Benchmark and Multi-task Knowledge Transfer Learning for Vietnamese Natural Language Understanding. - Phong Do; Son Tran; Phu Hoang; Kiet Van Nguyen; Ngan Luu-Thuy Nguyen (NAACL-HLT (Findings), 2024)

Bringing Multimodality to Amazon Visual Search System. - Xinliang Zhu; Michael Huang; Han Ding 004; Jinyu Yang; Kelvin Chen; Tao Zhou; Tal Neiman; Ouye Xie; Son Tran; Benjamin Z. Yao; Douglas Gray 001; Anuj Bindal; et al. (CoRR, 2024)

M-LLM Based Video Frame Selection for Efficient Video Understanding. - Kai Hu; Feng Gao; Xiaohan Nie; Peng Zhou; Son Tran; Tal Neiman; Lingyun Wang 005; Mubarak Shah; Raffay Hamid; Bing Yin; Trishul Chilimbi (CVPR, 2025)

CoLLM: A Large Language Model for Composed Image Retrieval. - Chuong Huynh; Jinyu Yang; Ashish Tawari; Mubarak Shah; Son Tran; Raffay Hamid; Trishul Chilimbi; Abhinav Shrivastava (CVPR, 2025)

ICDAR 25: Intelligent Cross-Data Analysis and Retrieval. - Takahiro Komamizu; Marc A. Kastner 001; Minh-Son Dao; Michael Alexander Riegler; Duc-Tien Dang-Nguyen; Son Tran (ICMR, 2025)

DreamBlend: Advancing Personalized Fine-Tuning of Text-to-Image Diffusion Models. - Shwetha Ram; Tal Neiman; Qianli Feng; Andrew Stuart; Son Tran; Trishul Chilimbi (WACV, 2025)

Reasoning in Neurosymbolic AI. - Son Tran; Edjard Mota; Artur d'Avila Garcez (CoRR, 2025)

A Mathematical Perspective On Contrastive Learning. - Ricardo Baptista; Andrew M. Stuart; Son Tran (CoRR, 2025)