| 2026 | WACV | TriaGS: Differentiable Triangulation-Guided Geometric Consistency for 3D Gaussian Splatting. | Quan Tran, Tuan Dang |
| 2025 | CVPR | 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 |
| 2024 | ECAI | Large Language Model Prompting with Episodic Memory. | Dai Do, Quan Tran, Svetha Venkatesh, Hung Le |
| 2023 | Interspeech | 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 |
| 2022 | ECCV | Improving Closed and Open-Vocabulary Attribute Prediction Using Transformers. | Khoi Pham, Kushal Kafle, Zhe Lin, Zhihong Ding, Scott Cohen, Quan Tran, Abhinav Shrivastava |
| 2021 | CVPR | Learning To Predict Visual Attributes in the Wild. | Khoi Pham, Kushal Kafle, Zhe Lin, Zhihong Ding, Scott Cohen, Quan Tran, Abhinav Shrivastava |
| 2021 | ICCV | 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 |
| 2020 | CVPR | Context-Aware Group Captioning via Self-Attention and Contrastive Features. | Zhuowan Li, Quan Tran, Long Mai, Zhe Lin, Alan L. Yuille |
| 2020 | ECCV | Open-Edit: Open-Domain Image Manipulation with Open-Vocabulary Instructions. | Xihui Liu, Zhe Lin, Jianming Zhang, Handong Zhao, Quan Tran, Xiaogang Wang, Hongsheng Li |
| 2017 | IJCNLP | Named Entity Recognition with Stack Residual LSTM and Trainable Bias Decoding. | Quan Tran, Andrew MacKinlay, Antonio Jimeno-Yepes |