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2020 – today
- 2023
[c36]Jaeyeon Kim, Binh-Son Hua, Duc Thanh Nguyen, Sai-Kit Yeung:
PointInverter: Point Cloud Reconstruction and Editing via a Generative Model with Shape Priors. WACV 2023: 592-601- [c35]Phuoc-Hieu Le, Quynh Le, Rang Nguyen, Binh-Son Hua:
Single-Image HDR Reconstruction by Multi-Exposure Generation. WACV 2023: 4052-4061 - [i29]Tuan Duc Ngo, Binh-Son Hua, Khoi Nguyen:
ISBNet: a 3D Point Cloud Instance Segmentation Network with Instance-aware Sampling and Box-aware Dynamic Convolution. CoRR abs/2303.00246 (2023) - 2022
- [j10]Zhiyuan Zhang
, Binh-Son Hua, Sai-Kit Yeung:
RIConv++: Effective Rotation Invariant Convolutions for 3D Point Clouds Deep Learning. Int. J. Comput. Vis. 130(5): 1228-1243 (2022) - [j9]Corentin Salaün, Adrien Gruson, Binh-Son Hua, Toshiya Hachisuka, Gurprit Singh:
Regression-based Monte Carlo integration. ACM Trans. Graph. 41(4): 79:1-79:14 (2022) - [c34]Bach Tran, Binh-Son Hua, Anh Tuan Tran, Minh Hoai:
Self-supervised Learning with Multi-view Rendering for 3D Point Cloud Analysis. ACCV (1) 2022: 413-431 - [c33]Tan M. Dinh, Anh Tuan Tran, Rang Nguyen, Binh-Son Hua:
HyperInverter: Improving StyleGAN Inversion via Hypernetwork. CVPR 2022: 11379-11388 - [c32]Tuan-Anh Vu, Duc Thanh Nguyen, Binh-Son Hua, Quang-Hieu Pham, Sai-Kit Yeung:
RFNet-4D: Joint Object Reconstruction and Flow Estimation from 4D Point Clouds. ECCV (23) 2022: 36-52 - [c31]Hong-Wing Pang, Yingshu Chen, Phuoc-Hieu Le, Binh-Son Hua, Duc Thanh Nguyen, Sai-Kit Yeung:
Neural Scene Decoration from a Single Photograph. ECCV (23) 2022: 136-152 - [c30]Khoi D. Nguyen, Quoc-Huy Tran, Khoi Nguyen, Binh-Son Hua, Rang Nguyen:
Inductive and Transductive Few-Shot Video Classification via Appearance and Temporal Alignments. ECCV (20) 2022: 471-487 - [c29]Tan M. Dinh, Rang Nguyen, Binh-Son Hua:
TISE: Bag of Metrics for Text-to-Image Synthesis Evaluation. ECCV (36) 2022: 594-609 - [c28]Yingshu Chen, Tuan-Anh Vu, Ka-Chun Shum, Sai-Kit Yeung, Binh-Son Hua:
Time-of-Day Neural Style Transfer for Architectural Photographs. ICCP 2022: 1-12 - [c27]Minh Tran, Loi Ly, Binh-Son Hua, Ngan Le:
SS-3DCAPSNET: Self-Supervised 3d Capsule Networks for Medical Segmentation on Less Labeled Data. ISBI 2022: 1-5 - [c26]Jonghee Back, Binh-Son Hua, Toshiya Hachisuka, Bochang Moon:
Self-Supervised Post-Correction for Monte Carlo Denoising. SIGGRAPH (Conference Paper Track) 2022: 18:1-18:8 - [i28]Minh Tran, Loi Ly, Binh-Son Hua, Ngan Le:
SS-3DCapsNet: Self-supervised 3D Capsule Networks for Medical Segmentation on Less Labeled Data. CoRR abs/2201.05905 (2022) - [i27]Zhiyuan Zhang, Binh-Son Hua, Sai-Kit Yeung:
RIConv++: Effective Rotation Invariant Convolutions for 3D Point Clouds Deep Learning. CoRR abs/2202.13094 (2022) - [i26]Ngoc-Vuong Ho, Tan Nguyen, Gia-Han Diep, Ngan Le, Binh-Son Hua:
Point-Unet: A Context-aware Point-based Neural Network for Volumetric Segmentation. CoRR abs/2203.08964 (2022) - [i25]Tan Nguyen, Binh-Son Hua, Ngan Le:
3D-UCaps: 3D Capsules Unet for Volumetric Image Segmentation. CoRR abs/2203.08965 (2022) - [i24]Tuan-Anh Vu, Duc Thanh Nguyen, Binh-Son Hua, Quang-Hieu Pham, Sai-Kit Yeung:
RFNet-4D: Joint Object Reconstruction and Flow Estimation from 4D Point Clouds. CoRR abs/2203.16482 (2022) - [i23]Duong H. Le, Khoi D. Nguyen, Khoi Nguyen, Quoc-Huy Tran, Rang Nguyen, Binh-Son Hua:
POODLE: Improving Few-shot Learning via Penalizing Out-of-Distribution Samples. CoRR abs/2206.04679 (2022) - [i22]Khoi D. Nguyen, Quoc-Huy Tran, Khoi Nguyen, Binh-Son Hua, Rang Nguyen:
Inductive and Transductive Few-Shot Video Classification via Appearance and Temporal Alignments. CoRR abs/2207.10785 (2022) - [i21]Yingshu Chen, Tuan-Anh Vu, Ka-Chun Shum, Binh-Son Hua, Sai-Kit Yeung:
Time-of-Day Neural Style Transfer for Architectural Photographs. CoRR abs/2209.05800 (2022) - [i20]Phuoc-Hieu Le, Quynh Le, Rang Nguyen, Binh-Son Hua:
Single-Image HDR Reconstruction by Multi-Exposure Generation. CoRR abs/2210.15897 (2022) - [i19]Bach Tran, Binh-Son Hua, Anh Tuan Tran, Minh Hoai:
Self-Supervised Learning with Multi-View Rendering for 3D Point Cloud Analysis. CoRR abs/2210.15904 (2022) - [i18]Corentin Salaün, Adrien Gruson, Binh-Son Hua, Toshiya Hachisuka, Gurprit Singh:
Regression-based Monte Carlo Integration. CoRR abs/2211.07422 (2022) - [i17]Jaeyeon Kim, Binh-Son Hua, Duc Thanh Nguyen, Sai-Kit Yeung:
PointInverter: Point Cloud Reconstruction and Editing via a Generative Model with Shape Priors. CoRR abs/2211.08702 (2022) - 2021
- [j8]Sabyasachi Mukherjee, Sayan Mukherjee, Binh-Son Hua, Nobuyuki Umetani, Daniel Meister:
Neural Sequence Transformation. Comput. Graph. Forum 40(7): 131-140 (2021) - [c25]Jaeyeon Kim, Binh-Son Hua, Duc Thanh Nguyen, Sai-Kit Yeung:
Minimal Adversarial Examples for Deep Learning on 3D Point Clouds. ICCV 2021: 7777-7786 - [c24]Trung Nguyen, Quang-Hieu Pham, Tam Le, Tung Pham, Nhat Ho, Binh-Son Hua:
Point-set Distances for Learning Representations of 3D Point Clouds. ICCV 2021: 10458-10467 - [c23]Duong H. Le, Binh-Son Hua:
Network Pruning That Matters: A Case Study on Retraining Variants. ICLR 2021 - [c22]Tan Nguyen, Binh-Son Hua, Ngan Le:
3D-UCaps: 3D Capsules Unet for Volumetric Image Segmentation. MICCAI (1) 2021: 548-558 - [c21]Ngoc-Vuong Ho, Tan Nguyen, Gia-Han Diep, Ngan Le, Binh-Son Hua:
Point-Unet: A Context-Aware Point-Based Neural Network for Volumetric Segmentation. MICCAI (1) 2021: 644-655 - [c20]Duong H. Le, Khoi D. Nguyen, Khoi Nguyen, Quoc-Huy Tran, Rang Nguyen, Binh-Son Hua:
POODLE: Improving Few-shot Learning via Penalizing Out-of-Distribution Samples. NeurIPS 2021: 23942-23955 - [i16]Trung Nguyen, Quang-Hieu Pham, Tam Le, Tung Pham, Nhat Ho, Binh-Son Hua:
Point-set Distances for Learning Representations of 3D Point Clouds. CoRR abs/2102.04014 (2021) - [i15]Duong H. Le, Binh-Son Hua:
Network Pruning That Matters: A Case Study on Retraining Variants. CoRR abs/2105.03193 (2021) - [i14]Hong-Wing Pang, Yingshu Chen, Binh-Son Hua, Sai-Kit Yeung:
Neural Scene Decoration from a Single Photograph. CoRR abs/2108.01806 (2021) - [i13]Tan M. Dinh, Anh Tuan Tran, Rang Nguyen, Binh-Son Hua:
HyperInverter: Improving StyleGAN Inversion via Hypernetwork. CoRR abs/2112.00719 (2021) - [i12]Tan M. Dinh, Rang Nguyen, Binh-Son Hua:
TISE: A Toolbox for Text-to-Image Synthesis Evaluation. CoRR abs/2112.01398 (2021) - 2020
- [j7]Jonghee Back, Binh-Son Hua, Toshiya Hachisuka, Bochang Moon:
Deep combiner for independent and correlated pixel estimates. ACM Trans. Graph. 39(6): 242:1-242:12 (2020) - [c19]Zhiyuan Zhang, Binh-Son Hua, Wei Chen, Yibin Tian, Sai-Kit Yeung:
Global Context Aware Convolutions for 3D Point Cloud Understanding. 3DV 2020: 210-219 - [c18]Quang-Hieu Pham, Mikaela Angelina Uy, Binh-Son Hua, Duc Thanh Nguyen, Gemma Roig, Sai-Kit Yeung:
LCD: Learned Cross-Domain Descriptors for 2D-3D Matching. AAAI 2020: 11856-11864 - [i11]Zhiyuan Zhang, Binh-Son Hua, Wei Chen, Yibin Tian, Sai-Kit Yeung:
Global Context Aware Convolutions for 3D Point Cloud Understanding. CoRR abs/2008.02986 (2020) - [i10]Jaeyeon Kim, Binh-Son Hua, Duc Thanh Nguyen, Sai-Kit Yeung:
Minimal Adversarial Examples for Deep Learning on 3D Point Clouds. CoRR abs/2008.12066 (2020)
2010 – 2019
- 2019
- [j6]Binh-Son Hua, Adrien Gruson, Victor Petitjean, Matthias Zwicker, Derek Nowrouzezahrai, Elmar Eisemann, Toshiya Hachisuka:
A Survey on Gradient-Domain Rendering. Comput. Graph. Forum 38(2): 455-472 (2019) - [c17]Zhiyuan Zhang, Binh-Son Hua, David W. Rosen, Sai-Kit Yeung:
Rotation Invariant Convolutions for 3D Point Clouds Deep Learning. 3DV 2019: 204-213 - [c16]Quang-Hieu Pham, Duc Thanh Nguyen, Binh-Son Hua, Gemma Roig, Sai-Kit Yeung:
JSIS3D: Joint Semantic-Instance Segmentation of 3D Point Clouds With Multi-Task Pointwise Networks and Multi-Value Conditional Random Fields. CVPR 2019: 8827-8836 - [c15]Mikaela Angelina Uy, Quang-Hieu Pham, Binh-Son Hua, Duc Thanh Nguyen, Sai-Kit Yeung:
Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data. ICCV 2019: 1588-1597 - [c14]Zhiyuan Zhang, Binh-Son Hua, Sai-Kit Yeung:
ShellNet: Efficient Point Cloud Convolutional Neural Networks Using Concentric Shells Statistics. ICCV 2019: 1607-1616 - [c13]Duc Thanh Nguyen, Quang-Hieu Pham, Binh-Son Hua:
Creating and understanding 3D annotated scene meshes. SIGGRAPH Asia 2019: 136:1-136:148 - [c12]Quang-Hieu Pham, Binh-Son Hua, Duc Thanh Nguyen, Sai-Kit Yeung:
Real-Time Progressive 3D Semantic Segmentation for Indoor Scenes. WACV 2019: 1089-1098 - [i9]Quang-Hieu Pham, Duc Thanh Nguyen, Binh-Son Hua, Gemma Roig, Sai-Kit Yeung:
JSIS3D: Joint Semantic-Instance Segmentation of 3D Point Clouds with Multi-Task Pointwise Networks and Multi-Value Conditional Random Fields. CoRR abs/1904.00699 (2019) - [i8]Mikaela Angelina Uy, Quang-Hieu Pham, Binh-Son Hua, Duc Thanh Nguyen, Sai-Kit Yeung:
Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data. CoRR abs/1908.04616 (2019) - [i7]Zhiyuan Zhang, Binh-Son Hua, Sai-Kit Yeung:
ShellNet: Efficient Point Cloud Convolutional Neural Networks using Concentric Shells Statistics. CoRR abs/1908.06295 (2019) - [i6]Zhiyuan Zhang, Binh-Son Hua, David W. Rosen, Sai-Kit Yeung:
Rotation Invariant Convolutions for 3D Point Clouds Deep Learning. CoRR abs/1908.06297 (2019) - [i5]Quang-Hieu Pham, Mikaela Angelina Uy, Binh-Son Hua, Duc Thanh Nguyen, Gemma Roig, Sai-Kit Yeung:
LCD: Learned Cross-Domain Descriptors for 2D-3D Matching. CoRR abs/1911.09326 (2019) - 2018
- [j5]Adrien Gruson, Binh-Son Hua, Nicolas Vibert, Derek Nowrouzezahrai, Toshiya Hachisuka:
Gradient-domain volumetric photon density estimation. ACM Trans. Graph. 37(4): 82 (2018) - [j4]Rui Ma, Akshay Gadi Patil, Matthew Fisher, Manyi Li, Sören Pirk, Binh-Son Hua, Sai-Kit Yeung, Xin Tong, Leonidas J. Guibas, Hao Zhang:
Language-driven synthesis of 3D scenes from scene databases. ACM Trans. Graph. 37(6): 212 (2018) - [j3]Duc Thanh Nguyen, Binh-Son Hua, Lap-Fai Yu, Sai-Kit Yeung:
A Robust 3D-2D Interactive Tool for Scene Segmentation and Annotation. IEEE Trans. Vis. Comput. Graph. 24(12): 3005-3018 (2018) - [c11]Quang-Hieu Pham, Minh-Khoi Tran, Wenhui Li, Shu Xiang, Heyu Zhou, Weizhi Nie, Anan Liu, Yuting Su, Minh-Triet Tran, Ngoc-Minh Bui, Trong-Le Do, Tu V. Ninh, Tu-Khiem Le, Anh-Vu Dao, Vinh-Tiep Nguyen, Minh N. Do, Anh Duc Duong, Binh-Son Hua, Lap-Fai Yu, Duc Thanh Nguyen, Sai-Kit Yeung:
RGB-D Object-to-CAD Retrieval. 3DOR@Eurographics 2018: 45-52 - [c10]Binh-Son Hua, Minh-Khoi Tran, Sai-Kit Yeung:
Pointwise Convolutional Neural Networks. CVPR 2018: 984-993 - [i4]Quang-Hieu Pham, Binh-Son Hua, Duc Thanh Nguyen, Sai-Kit Yeung:
Real-time Progressive 3D Semantic Segmentation for Indoor Scene. CoRR abs/1804.00257 (2018) - 2017
- [j2]Binh-Son Hua, Adrien Gruson, Derek Nowrouzezahrai, Toshiya Hachisuka:
Gradient-Domain Photon Density Estimation. Comput. Graph. Forum 36(2): 31-38 (2017) - [c9]Binh-Son Hua, Quang-Trung Truong, Minh-Khoi Tran, Quang-Hieu Pham, Asako Kanezaki, Tang Lee, HungYueh Chiang, Winston H. Hsu, Bo Li, Yijuan Lu, Henry Johan, Shoki Tashiro, Masaki Aono, Minh-Triet Tran, Viet-Khoi Pham, Hai-Dang Nguyen, Vinh-Tiep Nguyen, Quang-Thang Tran, Thuyen V. Phan, Bao Truong, Minh N. Do, Anh Duc Duong, Lap-Fai Yu, Duc Thanh Nguyen, Sai-Kit Yeung:
RGB-D to CAD Retrieval with ObjectNN Dataset. 3DOR@Eurographics 2017 - [i3]Ramanpreet Singh Pahwa, Minh N. Do, Tian-Tsong Ng, Binh-Son Hua:
Calibration of depth cameras using denoised depth images. CoRR abs/1709.02635 (2017) - [i2]Binh-Son Hua, Minh-Khoi Tran, Sai-Kit Yeung:
Point-wise Convolutional Neural Network. CoRR abs/1712.05245 (2017) - 2016
- [c8]Binh-Son Hua, Quang-Hieu Pham, Duc Thanh Nguyen, Minh-Khoi Tran, Lap-Fai Yu, Sai-Kit Yeung:
SceneNN: A Scene Meshes Dataset with aNNotations. 3DV 2016: 92-101 - [c7]Duc Thanh Nguyen, Binh-Son Hua, Minh-Khoi Tran, Quang-Hieu Pham, Sai-Kit Yeung:
A Field Model for Repairing 3D Shapes. CVPR 2016: 5676-5684 - [i1]Duc Thanh Nguyen, Binh-Son Hua, Lap-Fai Yu, Sai-Kit Yeung:
A Robust 3D-2D Interactive Tool for Scene Segmentation and Annotation. CoRR abs/1610.05883 (2016) - 2015
- [c6]Binh-Son Hua, Kok-Lim Low:
Guided path tracing using clustered virtual point lights. SIGGRAPH Asia Posters 2015: 43:1 - 2014
- [c5]Ramanpreet Singh Pahwa, Minh N. Do, Tian-Tsong Ng, Binh-Son Hua:
Calibration of depth cameras using denoised depth images. ICIP 2014: 3459-3463 - 2013
- [j1]Li Shen, Chuohao Yeo, Binh-Son Hua:
Intrinsic Image Decomposition Using a Sparse Representation of Reflectance. IEEE Trans. Pattern Anal. Mach. Intell. 35(12): 2904-2915 (2013) - [c4]Binh-Son Hua, Tian-Tsong Ng, Kok-Lim Low:
Reconstruction of depth and normals from interreflections. ICIP 2013: 2557-2561 - [c3]Binh-Son Hua, Imari Sato, Kok-Lim Low:
Direct and progressive reconstruction of dual photography images. ICIP 2013: 3157-3161 - 2011
- [c2]Binh-Son Hua, Kok-Lim Low:
Interactive motion deblurring using light streaks. ICIP 2011: 1553-1556 - 2010
- [c1]Lei Wang, Binh-Son Hua, Xueqing Li:
Adaptive Energy Diffusion for Blind Inverse Halftoning. PCM (1) 2010: 470-480
Coauthor Index
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last updated on 2023-03-22 01:53 CET by the dblp team
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