Understanding Object Relations in Traffic Scenes. - Irina Hensel; Alexander Bachmann 001; Britta Hummel; Quan Tran (VISAPP (2), 2010)

Probabilistic Maneuver Prediction in Traffic Scenarios. - Jonas Firl; Quan Tran (ECMR, 2011)

A probabilistic discriminative approach for situation recognition in traffic scenarios. - Quan Tran; Jonas Firl (Intelligent Vehicles Symposium, 2012)

Modelling of traffic situations at urban intersections with probabilistic non-parametric regression. - Quan Tran; Jonas Firl (Intelligent Vehicles Symposium, 2013)

Online maneuver recognition and multimodal trajectory prediction for intersection assistance using non-parametric regression. - Quan Tran; Jonas Firl (Intelligent Vehicles Symposium, 2014)

Named Entity Recognition with Stack Residual LSTM and Trainable Bias Decoding. - Quan Tran; Andrew MacKinlay; Antonio Jimeno-Yepes (IJCNLP(1), 2017)

Context-Aware Group Captioning via Self-Attention and Contrastive Features. - Zhuowan Li; Quan Tran; Long Mai; Zhe Lin 001; Alan L. Yuille (CVPR, 2020)

Open-Edit: Open-Domain Image Manipulation with Open-Vocabulary Instructions. - Xihui Liu; Zhe Lin 001; Jianming Zhang 001; Handong Zhao; Quan Tran; Xiaogang Wang 001; Hongsheng Li 001 (ECCV (11), 2020)

Learning To Predict Visual Attributes in the Wild. - Khoi Pham; Kushal Kafle; Zhe Lin 001; Zhihong Ding; Scott Cohen; Quan Tran; Abhinav Shrivastava (CVPR, 2021)

Calibrating Concepts and Operations: Towards Symbolic Reasoning on Real Images. - Zhuowan Li; Elias Stengel-Eskin; Yixiao Zhang 001; Cihang Xie; Quan Tran; Benjamin Van Durme; Alan L. Yuille (ICCV, 2021)

Improving Closed and Open-Vocabulary Attribute Prediction Using Transformers. - Khoi Pham; Kushal Kafle; Zhe Lin 001; Zhihong Ding; Scott Cohen; Quan Tran; Abhinav Shrivastava (ECCV (25), 2022)

Recent US West Coast Wildfire Disasters: Impact on the Reliability Assessment of Optical Transceivers. - Quan Tran; Ronald Gayhardt; Tin Nguyen 003; Arif Zaman (IRPS, 2022)

Boosting Punctuation Restoration with Data Generation and Reinforcement Learning. - Viet Dac Lai; Abel Salinas; Hao Tan 002; Trung Bui; Quan Tran; Seunghyun Yoon 002; Hanieh Deilamsalehy; Franck Dernoncourt; Thien Huu Nguyen (INTERSPEECH, 2023)

Large Language Model Prompting with Episodic Memory. - Dai Do; Quan Tran; Svetha Venkatesh; Hung Le 002 (ECAI, 2024)

Fine-tuning CLIP Text Encoders with Two-step Paraphrasing. - Hyunjae Kim; Seunghyun Yoon 002; Trung Bui; Handong Zhao; Quan Tran; Franck Dernoncourt; Jaewoo Kang (CoRR, 2024)

Multi-Reference Preference Optimization for Large Language Models. - Hung Le 002; Quan Tran; Dung Nguyen 001; Kien Do; Saloni Mittal; Kelechi Ogueji; Svetha Venkatesh (CoRR, 2024)

Large Language Models Prompting With Episodic Memory. - Dai Do; Quan Tran; Svetha Venkatesh; Hung Le 002 (CoRR, 2024)

IGL-DT: Iterative Global-Local Feature Learning with Dual-Teacher Semantic Segmentation Framework under Limited Annotation Scheme. - Quan Tran; Hoang-Thien Nguyen; Thanh-Huy Nguyen; Gia-Van To; Tien-Huy Nguyen; Quan Nguyen (CVPR Workshops, 2025)