Quan Tran

According to our database, Quan Tran authored at least 17 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Large Language Models Prompting With Episodic Memory.

Dai Do, Quan Tran, Svetha Venkatesh, Hung Le

CoRR, 2024

Multi-Reference Preference Optimization for Large Language Models.

Hung Le, Quan Tran, Dung Nguyen, Kien Do, Saloni Mittal, Kelechi Ogueji, Svetha Venkatesh

CoRR, 2024

Fine-tuning CLIP Text Encoders with Two-step Paraphrasing.

Hyunjae Kim, Seunghyun Yoon, Trung Bui, Handong Zhao, Quan Tran, Franck Dernoncourt, Jaewoo Kang

CoRR, 2024

Large Language Model Prompting with Episodic Memory.

Dai Do, Quan Tran, Svetha Venkatesh, Hung Le

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

2023

Boosting Punctuation Restoration with Data Generation and Reinforcement Learning.

Viet Dac Lai, Abel Salinas, Hao Tan, Trung Bui, Quan Tran, Seunghyun Yoon, Hanieh Deilamsalehy, Franck Dernoncourt, Thien Huu Nguyen

Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

2022

Recent US West Coast Wildfire Disasters: Impact on the Reliability Assessment of Optical Transceivers.

Quan Tran, Ronald Gayhardt, Tin Nguyen, Arif Zaman

Proceedings of the IEEE International Reliability Physics Symposium, 2022

Improving Closed and Open-Vocabulary Attribute Prediction Using Transformers.

Khoi Pham, Kushal Kafle, Zhe Lin, Zhihong Ding, Scott Cohen, Quan Tran, Abhinav Shrivastava

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Calibrating Concepts and Operations: Towards Symbolic Reasoning on Real Images.

Zhuowan Li, Elias Stengel-Eskin, Yixiao Zhang, Cihang Xie, Quan Tran, Benjamin Van Durme, Alan L. Yuille

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Learning To Predict Visual Attributes in the Wild.

Khoi Pham, Kushal Kafle, Zhe Lin, Zhihong Ding, Scott Cohen, Quan Tran, Abhinav Shrivastava

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Open-Edit: Open-Domain Image Manipulation with Open-Vocabulary Instructions.

Xihui Liu, Zhe Lin, Jianming Zhang, Handong Zhao, Quan Tran, Xiaogang Wang, Hongsheng Li

Proceedings of the Computer Vision - ECCV 2020, 2020

Context-Aware Group Captioning via Self-Attention and Contrastive Features.

Zhuowan Li, Quan Tran, Long Mai, Zhe Lin, Alan L. Yuille

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2017

Named Entity Recognition with Stack Residual LSTM and Trainable Bias Decoding.

Quan Tran, Andrew MacKinlay, Antonio Jimeno-Yepes

Proceedings of the Eighth International Joint Conference on Natural Language Processing, 2017

2014

Online maneuver recognition and multimodal trajectory prediction for intersection assistance using non-parametric regression.

Quan Tran, Jonas Firl

Proceedings of the 2014 IEEE Intelligent Vehicles Symposium Proceedings, 2014

2013

Modelling of traffic situations at urban intersections with probabilistic non-parametric regression.

Quan Tran, Jonas Firl

Proceedings of the 2013 IEEE Intelligent Vehicles Symposium (IV), 2013

2012

A probabilistic discriminative approach for situation recognition in traffic scenarios.

Quan Tran, Jonas Firl

Proceedings of the 2012 IEEE Intelligent Vehicles Symposium, 2012

2011

Probabilistic Maneuver Prediction in Traffic Scenarios.

Jonas Firl, Quan Tran

Proceedings of the 5^th European Conference on Mobile Robots, 2011

2010

Understanding Object Relations in Traffic Scenes.

Irina Hensel, Alexander Bachmann, Britta Hummel, Quan Tran

Proceedings of the VISAPP 2010 - Proceedings of the Fifth International Conference on Computer Vision Theory and Applications, Angers, France, May 17-21, 2010, 2010