Quan Tran

25 papers A* 3A 2B 3Journal 10Unranked 7
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Diffusion-based Generative Machine Learning Paradigm for Contingency Screening.
CoRR
Quan Tran, Suresh S. Muknahallipatna, Dongliang Duan, Nga Nguyen
2025 — conf
IGL-DT: Iterative Global-Local Feature Learning with Dual-Teacher Semantic Segmentation Framework under Limited Annotation Scheme.
CVPR Workshops
Quan Tran, Hoang-Thien Nguyen, Thanh-Huy Nguyen, Gia-Van To, Tien-Huy Nguyen, Quan Nguyen
2025 J jnl
TriaGS: Differentiable Triangulation-Guided Geometric Consistency for 3D Gaussian Splatting.
CoRR
Quan Tran, Tuan Dang
2024 J jnl
Fine-tuning CLIP Text Encoders with Two-step Paraphrasing.
CoRR
Hyunjae Kim, Seunghyun Yoon, Trung Bui, Handong Zhao, Quan Tran, Franck Dernoncourt, Jaewoo Kang
2024 A conf
Large Language Model Prompting with Episodic Memory.
ECAI
Dai Do, Quan Tran, Svetha Venkatesh, Hung Le
2024 J jnl
Large Language Models Prompting With Episodic Memory.
CoRR
Dai Do, Quan Tran, Svetha Venkatesh, Hung Le
2024 J jnl
Multi-Reference Preference Optimization for Large Language Models.
CoRR
Hung Le, Quan Tran, Dung Nguyen, Kien Do, Saloni Mittal, Kelechi Ogueji, Svetha Venkatesh
2023 A conf
Boosting Punctuation Restoration with Data Generation and Reinforcement Learning.
INTERSPEECH
Viet Dac Lai, Abel Salinas, Hao Tan, Trung Bui, Quan Tran, Seunghyun Yoon, Hanieh Deilamsalehy, Franck Dernoncourt, Thien Huu Nguyen
2022 — conf
Improving Closed and Open-Vocabulary Attribute Prediction Using Transformers.
ECCV (25)
Khoi Pham, Kushal Kafle, Zhe Lin, Zhihong Ding, Scott Cohen, Quan Tran, Abhinav Shrivastava
2022 — conf
Recent US West Coast Wildfire Disasters: Impact on the Reliability Assessment of Optical Transceivers.
IRPS
Quan Tran, Ronald Gayhardt, Tin Nguyen, Arif Zaman
2021 A* conf
Calibrating Concepts and Operations: Towards Symbolic Reasoning on Real Images.
ICCV
Zhuowan Li, Elias Stengel-Eskin, Yixiao Zhang, Cihang Xie, Quan Tran, Benjamin Van Durme, Alan L. Yuille
2021 J jnl
Calibrating Concepts and Operations: Towards Symbolic Reasoning on Real Images.
CoRR
Zhuowan Li, Elias Stengel-Eskin, Yixiao Zhang, Cihang Xie, Quan Tran, Benjamin Van Durme, Alan L. Yuille
2021 A* conf
Learning To Predict Visual Attributes in the Wild.
CVPR
Khoi Pham, Kushal Kafle, Zhe Lin, Zhihong Ding, Scott Cohen, Quan Tran, Abhinav Shrivastava
2021 J jnl
Learning to Predict Visual Attributes in the Wild.
CoRR
Khoi Pham, Kushal Kafle, Zhe Lin, Zhihong Ding, Scott Cohen, Quan Tran, Abhinav Shrivastava
2020 A* conf
Context-Aware Group Captioning via Self-Attention and Contrastive Features.
CVPR
Zhuowan Li, Quan Tran, Long Mai, Zhe Lin, Alan L. Yuille
2020 J jnl
Context-Aware Group Captioning via Self-Attention and Contrastive Features.
CoRR
Zhuowan Li, Quan Tran, Long Mai, Zhe Lin, Alan L. Yuille
2020 — conf
Open-Edit: Open-Domain Image Manipulation with Open-Vocabulary Instructions.
ECCV (11)
Xihui Liu, Zhe Lin, Jianming Zhang, Handong Zhao, Quan Tran, Xiaogang Wang, Hongsheng Li
2020 J jnl
Open-Edit: Open-Domain Image Manipulation with Open-Vocabulary Instructions.
CoRR
Xihui Liu, Zhe Lin, Jianming Zhang, Handong Zhao, Quan Tran, Xiaogang Wang, Hongsheng Li
2017 — conf
Named Entity Recognition with Stack Residual LSTM and Trainable Bias Decoding.
IJCNLP(1)
Quan Tran, Andrew MacKinlay, Antonio Jimeno-Yepes
2017 J jnl
Named Entity Recognition with stack residual LSTM and trainable bias decoding.
CoRR
Quan Tran, Andrew MacKinlay, Antonio Jimeno-Yepes
2014 B conf
Online maneuver recognition and multimodal trajectory prediction for intersection assistance using non-parametric regression.
Intelligent Vehicles Symposium
Quan Tran, Jonas Firl
2013 B conf
Modelling of traffic situations at urban intersections with probabilistic non-parametric regression.
Intelligent Vehicles Symposium
Quan Tran, Jonas Firl
2012 B conf
A probabilistic discriminative approach for situation recognition in traffic scenarios.
Intelligent Vehicles Symposium
Quan Tran, Jonas Firl
2011 — conf
Probabilistic Maneuver Prediction in Traffic Scenarios.
ECMR
Jonas Firl, Quan Tran
2010 — conf
Understanding Object Relations in Traffic Scenes.
VISAPP (2)
Irina Hensel, Alexander Bachmann, Britta Hummel, Quan Tran