| 2024 | ACSSC | Multiresolution Point Cloud Compression for Real-Time Visualization and Streaming of Large 3D Datasets. | Dat Thanh Nguyen, Daniel Zieger, Markus Gambietz, Anne D. Koelewijn, Marc Stamminger, Andr Kaup |
| 2024 | ICIP | End-to-End Learned Lossy Dynamic Point Cloud Attribute Compression. | Dat Thanh Nguyen, Daniel Zieger, Marc Stamminger, Andr Kaup |
| 2023 | CVPR | Comprehensive Visual Features and Pseudo Labeling for Robust Natural Language-based Vehicle Retrieval. | Bach Hoang Ngo, Dat Thanh Nguyen, Nhat-Tuong Do-Tran, Phuc Pham Huy Thien, Minh-Hung An, Tuan-Ngoc Nguyen, Loi Nguyen Hoang, Vinh Dinh Nguyen, Quang-Vinh Dinh |
| 2023 | ICASSP | Deep Probabilistic Model for Lossless Scalable Point Cloud Attribute Compression. | Dat Thanh Nguyen, Kamal Gopikrishnan Nambiar, Andr Kaup |
| 2022 | ICIP | Learning-Based Lossless Point Cloud Geometry Coding Using Sparse Tensors. | Dat Thanh Nguyen, Andr Kaup |
| 2021 | ICASSP | Learning-Based Lossless Compression of 3D Point Cloud Geometry. | Dat Thanh Nguyen, Maurice Quach, Giuseppe Valenzise, Pierre Duhamel |