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Dat Thanh Nguyen
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Journal Articles
- 2024
- [j6]Christian Herglotz, Hannah Och, Anna Meyer, Geetha Ramasubbu, Lena Eichermüller, Matthias Kränzler, Fabian Brand, Kristian Fischer, Dat Thanh Nguyen, Andy Regensky, André Kaup:
The Bjøntegaard Bible Why Your Way of Comparing Video Codecs May Be Wrong. IEEE Trans. Image Process. 33: 987-1001 (2024) - 2023
- [j5]Dat Thanh Nguyen:
An integrative pipeline for circular RNA quantitative trait locus discovery with application in human T cells. Bioinform. 39(11) (2023) - [j4]Dat Thanh Nguyen, André Kaup:
Lossless Point Cloud Geometry and Attribute Compression Using a Learned Conditional Probability Model. IEEE Trans. Circuits Syst. Video Technol. 33(8): 4337-4348 (2023) - 2022
- [j3]Dat Thanh Nguyen, Quan Hoang Nguyen, Nguyen Thuy Duong, Nam S. Vo:
LmTag: functional-enrichment and imputation-aware tag SNP selection for population-specific genotyping arrays. Briefings Bioinform. 23(4) (2022) - 2021
- [j2]Dat Thanh Nguyen, Quang Thinh Trac, Thi-Hau Nguyen, Ha-Nam Nguyen, Nir Ohad, Yudi Pawitan, Trung-Nghia Vu:
Circall: fast and accurate methodology for discovery of circular RNAs from paired-end RNA-sequencing data. BMC Bioinform. 22(1): 495 (2021) - [j1]Dat Thanh Nguyen, Maurice Quach, Giuseppe Valenzise, Pierre Duhamel:
Lossless Coding of Point Cloud Geometry Using a Deep Generative Model. IEEE Trans. Circuits Syst. Video Technol. 31(12): 4617-4629 (2021)
Conference and Workshop Papers
- 2023
- [c6]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:
Comprehensive Visual Features and Pseudo Labeling for Robust Natural Language-based Vehicle Retrieval. CVPR Workshops 2023: 5409-5418 - [c5]Dat Thanh Nguyen, Kamal Gopikrishnan Nambiar, André Kaup:
Deep Probabilistic Model for Lossless Scalable Point Cloud Attribute Compression. ICASSP 2023: 1-5 - 2022
- [c4]Dat Thanh Nguyen, André Kaup:
Learning-Based Lossless Point Cloud Geometry Coding Using Sparse Tensors. ICIP 2022: 2341-2345 - 2021
- [c3]Dat Thanh Nguyen, Maurice Quach, Giuseppe Valenzise, Pierre Duhamel:
Learning-Based Lossless Compression of 3D Point Cloud Geometry. ICASSP 2021: 4220-4224 - [c2]Dat Thanh Nguyen, Maurice Quach, Giuseppe Valenzise, Pierre Duhamel:
Multiscale deep context modeling for lossless point cloud geometry compression. ICME Workshops 2021: 1-6 - [c1]Dat Thanh Nguyen, Hieu Quang Dinh, Giang Minh Vu, Duong Thuy Nguyen, Nam Sy Vo:
A comprehensive imputation-based evaluation of tag SNP selection strategies. KSE 2021: 1-6
Informal and Other Publications
- 2024
- [i8]Dat Thanh Nguyen, Daniel Zieger, Marc Stamminger, André Kaup:
End-to-end learned Lossy Dynamic Point Cloud Attribute Compression. CoRR abs/2408.10665 (2024) - 2023
- [i7]Dat Thanh Nguyen, Kamal Gopikrishnan Nambiar, André Kaup:
Deep probabilistic model for lossless scalable point cloud attribute compression. CoRR abs/2303.06517 (2023) - [i6]Dat Thanh Nguyen, André Kaup:
Lossless Point Cloud Geometry and Attribute Compression Using a Learned Conditional Probability Model. CoRR abs/2303.06519 (2023) - [i5]Dat Thanh Nguyen:
Dissecting vocabulary biases datasets through statistical testing and automated data augmentation for artifact mitigation in Natural Language Inference. CoRR abs/2312.08747 (2023) - 2021
- [i4]Dat Thanh Nguyen, Maurice Quach, Giuseppe Valenzise, Pierre Duhamel:
Multiscale deep context modeling for lossless point cloud geometry compression. CoRR abs/2104.09859 (2021) - [i3]Tuan Anh Nguyen Dang, Dat Thanh Nguyen:
End-to-End Information Extraction by Character-Level Embedding and Multi-Stage Attentional U-Net. CoRR abs/2106.00952 (2021) - [i2]Dat Thanh Nguyen, Maurice Quach, Giuseppe Valenzise, Pierre Duhamel:
Lossless Coding of Point Cloud Geometry using a Deep Generative Model. CoRR abs/2107.00400 (2021) - 2020
- [i1]Dat Thanh Nguyen, Maurice Quach, Giuseppe Valenzise, Pierre Duhamel:
Learning-based lossless compression of 3D point cloud geometry. CoRR abs/2011.14700 (2020)
Coauthor Index
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