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2020 – today
- 2024
[c14]Dai Do, Quan Tran, Svetha Venkatesh, Hung Le:
Large Language Model Prompting with Episodic Memory. ECAI 2024: 3891-3898- [i8]Hyunjae Kim, Seunghyun Yoon, Trung Bui, Handong Zhao, Quan Tran, Franck Dernoncourt, Jaewoo Kang:
Fine-tuning CLIP Text Encoders with Two-step Paraphrasing. CoRR abs/2402.15120 (2024) - [i7]Hung Le, Quan Tran, Dung Nguyen, Kien Do, Saloni Mittal, Kelechi Ogueji, Svetha Venkatesh:
Multi-Reference Preference Optimization for Large Language Models. CoRR abs/2405.16388 (2024) - [i6]Dai Do, Quan Tran, Svetha Venkatesh, Hung Le:
Large Language Models Prompting With Episodic Memory. CoRR abs/2408.07465 (2024) - 2023
- [c13]Viet Dac Lai, Abel Salinas, Hao Tan, Trung Bui, Quan Tran, Seunghyun Yoon, Hanieh Deilamsalehy, Franck Dernoncourt, Thien Huu Nguyen
:
Boosting Punctuation Restoration with Data Generation and Reinforcement Learning. INTERSPEECH 2023: 2133-2137 - 2022
- [c12]Khoi Pham, Kushal Kafle, Zhe Lin, Zhihong Ding, Scott Cohen, Quan Tran, Abhinav Shrivastava:
Improving Closed and Open-Vocabulary Attribute Prediction Using Transformers. ECCV (25) 2022: 201-219 - [c11]Quan Tran, Ronald Gayhardt, Tin Nguyen, Arif Zaman:
Recent US West Coast Wildfire Disasters: Impact on the Reliability Assessment of Optical Transceivers. IRPS 2022: 1-4 - 2021
- [c10]Khoi Pham, Kushal Kafle, Zhe Lin, Zhihong Ding, Scott Cohen, Quan Tran, Abhinav Shrivastava:
Learning To Predict Visual Attributes in the Wild. CVPR 2021: 13018-13028 - [c9]Zhuowan Li, Elias Stengel-Eskin, Yixiao Zhang, Cihang Xie, Quan Tran, Benjamin Van Durme, Alan L. Yuille:
Calibrating Concepts and Operations: Towards Symbolic Reasoning on Real Images. ICCV 2021: 14890-14899 - [i5]Khoi Pham, Kushal Kafle, Zhe Lin, Zhihong Ding, Scott Cohen, Quan Tran, Abhinav Shrivastava:
Learning to Predict Visual Attributes in the Wild. CoRR abs/2106.09707 (2021) - [i4]Zhuowan Li, Elias Stengel-Eskin, Yixiao Zhang, Cihang Xie, Quan Tran, Benjamin Van Durme, Alan L. Yuille:
Calibrating Concepts and Operations: Towards Symbolic Reasoning on Real Images. CoRR abs/2110.00519 (2021) - 2020
- [c8]Zhuowan Li, Quan Tran, Long Mai, Zhe Lin, Alan L. Yuille:
Context-Aware Group Captioning via Self-Attention and Contrastive Features. CVPR 2020: 3437-3447 - [c7]Xihui Liu, Zhe Lin, Jianming Zhang, Handong Zhao, Quan Tran, Xiaogang Wang, Hongsheng Li:
Open-Edit: Open-Domain Image Manipulation with Open-Vocabulary Instructions. ECCV (11) 2020: 89-106 - [i3]Zhuowan Li, Quan Tran, Long Mai, Zhe Lin, Alan L. Yuille:
Context-Aware Group Captioning via Self-Attention and Contrastive Features. CoRR abs/2004.03708 (2020) - [i2]Xihui Liu, Zhe Lin, Jianming Zhang, Handong Zhao, Quan Tran, Xiaogang Wang, Hongsheng Li:
Open-Edit: Open-Domain Image Manipulation with Open-Vocabulary Instructions. CoRR abs/2008.01576 (2020)
2010 – 2019
- 2017
- [c6]Quan Tran, Andrew MacKinlay, Antonio Jimeno-Yepes:
Named Entity Recognition with Stack Residual LSTM and Trainable Bias Decoding. IJCNLP(1) 2017: 566-575 - [i1]Quan Tran, Andrew MacKinlay, Antonio Jimeno-Yepes:
Named Entity Recognition with stack residual LSTM and trainable bias decoding. CoRR abs/1706.07598 (2017) - 2014
- [c5]Quan Tran, Jonas Firl:
Online maneuver recognition and multimodal trajectory prediction for intersection assistance using non-parametric regression. Intelligent Vehicles Symposium 2014: 918-923 - 2013
- [c4]Quan Tran, Jonas Firl:
Modelling of traffic situations at urban intersections with probabilistic non-parametric regression. Intelligent Vehicles Symposium 2013: 334-339 - 2012
- [c3]Quan Tran, Jonas Firl:
A probabilistic discriminative approach for situation recognition in traffic scenarios. Intelligent Vehicles Symposium 2012: 147-152 - 2011
- [c2]Jonas Firl, Quan Tran:
Probabilistic Maneuver Prediction in Traffic Scenarios. ECMR 2011: 89-94 - 2010
- [c1]Irina Hensel, Alexander Bachmann, Britta Hummel, Quan Tran:
Understanding Object Relations in Traffic Scenes. VISAPP (2) 2010: 389-395
Coauthor Index
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last updated on 2024-10-28 21:17 CET by the dblp team
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