Binh-Son Hua

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Sai-Kit YeungIntegrative Systems and Design, Hong Kong University of Science and TechnologyVerified email at ust.hk
Duc Thanh NguyenSenior Lecturer, Deakin UniversityVerified email at deakin.edu.au
Pham Quang HieuWoven by ToyotaVerified email at woven.toyota
Zhiyuan ZhangSingapore Management UniversityVerified email at smu.edu.sg
Lap-Fai (Craig) YuGeorge Mason UniversityVerified email at gmu.edu
Mikaela Angelina UyStanford UniversityVerified email at stanford.edu
Toshiya HachisukaAssociate Professor, University of WaterlooVerified email at uwaterloo.ca
Adrien GrusonAssistant Professor at École de Technologie SupérieureVerified email at etsmtl.ca
Derek NowrouzezahraiMcGill University and Quebec Institute for Artificial IntelligenceVerified email at cim.mcgill.ca
Bochang MoonAssociate Professor, Gwangju Institute of Science and TechnologyVerified email at gist.ac.kr
Matthias ZwickerProfessor of Computer Science, University of Maryland, College ParkVerified email at cs.umd.edu
Rui MaAssociate Professor at Jilin UniversityVerified email at jlu.edu.cn
Hao (Richard) ZhangDistinguished Professor (Simon Fraser University), IEEE Fellow, Amazon ScholarVerified email at cs.sfu.ca
Elmar EisemannDelft University of TechnologyVerified email at tudelft.nl
Ramanpreet Singh PahwaInstitute for Infocomm researchVerified email at i2r.a-star.edu.sg
Sato ImariNational Institute of InformaticsVerified email at nii.ac.jp
Sabyasachi MukherjeeThe University of TokyoVerified email at graphics.ci.i.u-tokyo.ac.jp
Nobuyuki UmetaniThe University of TokyoVerified email at ui.is.s.u-tokyo.ac.jp
Daniel MeisterAdvanced Micro Devices, Inc.Verified email at amd.com

Binh-Son Hua

Trinity College Dublin

Verified email at tcd.ie - Homepage

Generative 3D AI 3D Deep Learning Computer Vision Computer Graphics Rendering


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Revisiting point cloud classification: A new benchmark dataset and classification model on real-world data MA Uy, QH Pham, BS Hua, T Nguyen, SK Yeung Proceedings of the IEEE/CVF international conference on computer vision …, 2019	922	2019
Pointwise Convolutional Neural Networks BS Hua, MK Tran, SK Yeung Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2018	685	2018
Shellnet: Efficient point cloud convolutional neural networks using concentric shells statistics Z Zhang, BS Hua, SK Yeung Proceedings of the IEEE/CVF international conference on computer vision …, 2019	452	2019
SceneNN: A Scene Meshes Dataset with aNNotations BS Hua, QH Pham, DT Nguyen, MK Tran, LF Yu, SK Yeung 3D Vision (3DV), 2016 Fourth International Conference on, 92-101, 2016	377	2016
JSIS3D: Joint Semantic-Instance Segmentation of 3D Point Clouds with Multi-Task Pointwise Networks and Multi-Value Conditional Random Fields QH Pham, DT Nguyen, BS Hua, G Roig, SK Yeung CVPR, 2019	257	2019
Rotation invariant convolutions for 3d point clouds deep learning Z Zhang, BS Hua, DW Rosen, SK Yeung 2019 International conference on 3d vision (3DV), 204-213, 2019	185	2019
HyperInverter: Improving StyleGAN Inversion via Hypernetwork TM Dinh, AT Tran, R Nguyen, BS Hua CVPR 2022, 2022	144	2022
A field model for repairing 3d shapes DT Nguyen, BS Hua, K Tran, QH Pham, SK Yeung Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016	129	2016
Language-driven synthesis of 3D scenes from scene databases R Ma, AG Patil, M Fisher, M Li, S Pirk, BS Hua, SK Yeung, X Tong, ... ACM Transactions on Graphics (TOG) 37 (6), 1-16, 2018	112	2018
Real-time progressive 3D semantic segmentation for indoor scenes QH Pham, BS Hua, T Nguyen, SK Yeung 2019 IEEE Winter Conference on Applications of Computer Vision (WACV), 1089-1098, 2019	94	2019
Point-set Distances for Learning Representations of 3D Point Clouds T Nguyen, QH Pham, T Le, T Pham, N Ho, BS Hua International Conference on Computer Vision (ICCV), 2021	82	2021
LCD: Learned Cross-Domain Descriptors for 2D-3D Matching QH Pham, MA Uy, BS Hua, DT Nguyen, G Roig, SK Yeung Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020	72	2020
Intrinsic Image Decomposition Using a Sparse Representation of Reflectance L Shen, C Yeo, BS Hua Transactions on Pattern Analysis and Machine Intelligence, 2013	66	2013
Minimal Adversarial Examples for Deep Learning on 3D Point Clouds J Kim, BS Hua, DT Nguyen, SK Yeung International Conference on Computer Vision (ICCV), 2021	62	2021
A robust 3d-2d interactive tool for scene segmentation and annotation DT Nguyen, BS Hua, LF Yu, SK Yeung TVCG, 2017	58	2017
Network Pruning That Matters: A Case Study on Retraining Variants DH Le, BS Hua International Conference on Learning Representations (ICLR), 2021	57	2021
ISBNet: a 3D Point Cloud Instance Segmentation Network with Instance-aware Sampling and Box-aware Dynamic Convolution TD Ngo, BS Hua, K Nguyen CVPR 2023, 2023	52	2023
Global Context Aware Convolutions for 3D Point Cloud Understanding Z Zhang, BS Hua, W Chen, Y Tian, SK Yeung International Conference on 3D Vision (3DV) 2020, 2020	48	2020
RIConv++: Effective Rotation Invariant Convolutions for 3D Point Clouds Deep Learning Z Zhang, BS Hua, SK Yeung International Journal of Computer Vision (IJCV), 2022	47	2022
POODLE: Improving Few-shot Learning via Penalizing Out-of-Distribution Samples DH Le, KD Nguyen, K Nguyen, QH Tran, R Nguyen, BS Hua Thirty-Fifth Conference on Neural Information Processing Systems, 2021	45	2021

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