Binh-Son Hua

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 89

Top Topics

Image Synthesis

Convolutional Neural Networks

Top Venues

ACM Trans. Graph.

Publications

Quang-Trung Truong, Duc Thanh Nguyen, Binh-Son Hua, Sai-Kit Yeung
Self-supervised Video Object Segmentation with Distillation Learning of Deformable Attention. CoRR (2024)
Hai Nguyen-Truong, E-Ro Nguyen, Tuan-Anh Vu, Minh-Triet Tran, Binh-Son Hua, Sai-Kit Yeung
Improving Referring Image Segmentation using Vision-Aware Text Features. CoRR (2024)
Tuan-Anh Vu, Srinjay Sarkar, Zhiyuan Zhang, Binh-Son Hua, Sai-Kit Yeung
Test-Time Augmentation for 3D Point Cloud Classification and Segmentation. 3DV (2024)
Hubert Kompanowski, Binh-Son Hua
Dream-in-Style: Text-to-3D Generation using Stylized Score Distillation. CoRR (2024)
Uy Dieu Tran, Minh Luu, Phong Nguyen, Janne Heikkilä, Khoi Nguyen, Binh-Son Hua
DiverseDream: Diverse Text-to-3D Synthesis with Augmented Text Embedding. CoRR (2023)
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 (2023)
Ziqiang Zheng, Yingshu Chen, Binh-Son Hua, Sai-Kit Yeung
CompUDA: Compositional Unsupervised Domain Adaptation for Semantic Segmentation Under Adverse Conditions. IROS (2023)
Ka-Chun Shum, Jaeyeon Kim, Binh-Son Hua, Duc Thanh Nguyen, Sai-Kit Yeung
Language-driven Object Fusion into Neural Radiance Fields with Pose-Conditioned Dataset Updates. CoRR (2023)
Ka-Chun Shum, Hong-Wing Pang, Binh-Son Hua, Duc Thanh Nguyen, Sai-Kit Yeung
Conditional 360-degree Image Synthesis for Immersive Indoor Scene Decoration. ICCV (2023)
Jonghee Back, Binh-Son Hua, Toshiya Hachisuka, Bochang Moon
Input-Dependent Uncorrelated Weighting for Monte Carlo Denoising. SIGGRAPH Asia (2023)
Hong-Wing Pang, Binh-Son Hua, Sai-Kit Yeung
Locally Stylized Neural Radiance Fields. CoRR (2023)
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)
Quan-Dung Pham, Yipeng Zhu, Tan-Sang Ha, K. H. Long Nguyen, Binh-Son Hua, Sai-Kit Yeung
UWA360CAM: A 360° 24/7 Real-Time Streaming Camera System for Underwater Applications. CoRR (2023)
Tuan Duc Ngo, Binh-Son Hua, Khoi Nguyen
GaPro: Box-Supervised 3D Point Cloud Instance Segmentation Using Gaussian Processes as Pseudo Labelers. CoRR (2023)
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. CVPR (2023)
Tuan-Anh Vu, Srinjay Sarkar, Zhiyuan Zhang, Binh-Son Hua, Sai-Kit Yeung
Test-Time Augmentation for 3D Point Cloud Classification and Segmentation. CoRR (2023)
Tuan Duc Ngo, Binh-Son Hua, Khoi Nguyen
GaPro: Box-Supervised 3D Point Cloud Instance Segmentation Using Gaussian Processes as Pseudo Labelers. ICCV (2023)
Hong-Wing Pang, Binh-Son Hua, Sai-Kit Yeung
Locally Stylized Neural Radiance Fields. ICCV (2023)
Phuoc-Hieu Le, Quynh Le, Rang Nguyen, Binh-Son Hua
Single-Image HDR Reconstruction by Multi-Exposure Generation. WACV (2023)
Tuan-Anh Vu, Duc Thanh Nguyen, Qing Guo, Binh-Son Hua, Nhat Minh Chung, Ivor W. Tsang, Sai-Kit Yeung
Leveraging Open-Vocabulary Diffusion to Camouflaged Instance Segmentation. CoRR (2023)
Yingshu Chen, Guocheng Shao, Ka-Chun Shum, Binh-Son Hua, Sai-Kit Yeung
Advances in 3D Neural Stylization: A Survey. CoRR (2023)
Ziqiang Zheng, Yingshu Chen, Binh-Son Hua, Yang Wu, Sai-Kit Yeung
Cross-Domain Autonomous Driving Perception Using Contrastive Appearance Adaptation. IROS (2023)
Ka-Chun Shum, Hong-Wing Pang, Binh-Son Hua, Duc Thanh Nguyen, Sai-Kit Yeung
Conditional 360-degree Image Synthesis for Immersive Indoor Scene Decoration. CoRR (2023)
Zhiyuan Zhang, Binh-Son Hua, Sai-Kit Yeung
RIConv++: Effective Rotation Invariant Convolutions for 3D Point Clouds Deep Learning. CoRR (2022)
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)
Tan M. Dinh, Anh Tuan Tran, Rang Nguyen, Binh-Son Hua
HyperInverter: Improving StyleGAN Inversion via Hypernetwork. CVPR (2022)
Tan Nguyen, Binh-Son Hua, Ngan Le
3D-UCaps: 3D Capsules Unet for Volumetric Image Segmentation. CoRR (2022)
Jonghee Back, Binh-Son Hua, Toshiya Hachisuka, Bochang Moon
Self-Supervised Post-Correction for Monte Carlo Denoising. SIGGRAPH (Conference Paper Track) (2022)
Corentin Salaün, Adrien Gruson, Binh-Son Hua, Toshiya Hachisuka, Gurprit Singh
Regression-based Monte Carlo Integration. CoRR (2022)
Tan M. Dinh, Rang Nguyen, Binh-Son Hua
TISE: Bag of Metrics for Text-to-Image Synthesis Evaluation. ECCV (36) (2022)
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)
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)
Phuoc-Hieu Le, Quynh Le, Rang Nguyen, Binh-Son Hua
Single-Image HDR Reconstruction by Multi-Exposure Generation. CoRR (2022)
Khoi Nguyen, Quoc-Huy Tran, Khoi Duc Nguyen, Binh-Son Hua, Rang Nguyen
Inductive and Transductive Few-Shot Video Classification via Appearance and Temporal Alignments. CoRR (2022)
Corentin Salaün, Adrien Gruson, Binh-Son Hua, Toshiya Hachisuka, Gurprit Singh
Regression-based Monte Carlo integration. ACM Trans. Graph. 41 (4) (2022)
Duong H. Le, Khoi Nguyen, Khoi Duc Nguyen, Quoc-Huy Tran, Rang Nguyen, Binh-Son Hua
POODLE: Improving Few-shot Learning via Penalizing Out-of-Distribution Samples. CoRR (2022)
Minh Tran, Loi Ly, Binh-Son Hua, Ngan Le
SS-3DCapsNet: Self-supervised 3D Capsule Networks for Medical Segmentation on Less Labeled Data. CoRR (2022)
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)
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 (2022)
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) (2022)
Bach Tran, Binh-Son Hua, Anh Tuan Tran, Minh Hoai
Self-Supervised Learning with Multi-View Rendering for 3D Point Cloud Analysis. CoRR (2022)
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 (2022)
Yingshu Chen, Tuan-Anh Vu, Ka-Chun Shum, Binh-Son Hua, Sai-Kit Yeung
Time-of-Day Neural Style Transfer for Architectural Photographs. CoRR (2022)
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 (2022)
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)
Khoi Nguyen, Quoc-Huy Tran, Khoi Duc Nguyen, Binh-Son Hua, Rang Nguyen
Inductive and Transductive Few-Shot Video Classification via Appearance and Temporal Alignments. ECCV (20) (2022)
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)
Tan M. Dinh, Rang Nguyen, Binh-Son Hua
TISE: A Toolbox for Text-to-Image Synthesis Evaluation. CoRR (2021)
Duong H. Le, Khoi Duc Nguyen, Khoi Nguyen, Quoc-Huy Tran, Rang Nguyen, Binh-Son Hua
POODLE: Improving Few-shot Learning via Penalizing Out-of-Distribution Samples. NeurIPS (2021)
Duong H. Le, Binh-Son Hua
Network Pruning That Matters: A Case Study on Retraining Variants. CoRR (2021)
Duong H. Le, Binh-Son Hua
Network Pruning That Matters: A Case Study on Retraining Variants. ICLR (2021)
Tan M. Dinh, Anh Tuan Tran, Rang Nguyen, Binh-Son Hua
HyperInverter: Improving StyleGAN Inversion via Hypernetwork. CoRR (2021)
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 (2021)
Jaeyeon Kim, Binh-Son Hua, Duc Thanh Nguyen, Sai-Kit Yeung
Minimal Adversarial Examples for Deep Learning on 3D Point Clouds. ICCV (2021)
Hong-Wing Pang, Yingshu Chen, Binh-Son Hua, Sai-Kit Yeung
Neural Scene Decoration from a Single Photograph. CoRR (2021)
Sabyasachi Mukherjee, Sayan Mukherjee, Binh-Son Hua, Nobuyuki Umetani, Daniel Meister
Neural Sequence Transformation. Comput. Graph. Forum 40 (7) (2021)
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)
Tan Nguyen, Binh-Son Hua, Ngan Le
3D-UCaps: 3D Capsules Unet for Volumetric Image Segmentation. MICCAI (1) (2021)
Jonghee Back, Binh-Son Hua, Toshiya Hachisuka, Bochang Moon
Deep combiner for independent and correlated pixel estimates. ACM Trans. Graph. 39 (6) (2020)
Zhiyuan Zhang, Binh-Son Hua, Wei Chen, Yibin Tian, Sai-Kit Yeung
Global Context Aware Convolutions for 3D Point Cloud Understanding. 3DV (2020)
Jaeyeon Kim, Binh-Son Hua, Duc Thanh Nguyen, Sai-Kit Yeung
Minimal Adversarial Examples for Deep Learning on 3D Point Clouds. CoRR (2020)
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)
Zhiyuan Zhang, Binh-Son Hua, Wei Chen, Yibin Tian, Sai-Kit Yeung
Global Context Aware Convolutions for 3D Point Cloud Understanding. CoRR (2020)
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 (2019)
Duc Thanh Nguyen, Quang-Hieu Pham, Binh-Son Hua
Creating and understanding 3D annotated scene meshes. SIGGRAPH Asia (2019)
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)
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) (2019)
Zhiyuan Zhang, Binh-Son Hua, Sai-Kit Yeung
ShellNet: Efficient Point Cloud Convolutional Neural Networks using Concentric Shells Statistics. CoRR (2019)
Zhiyuan Zhang, Binh-Son Hua, Sai-Kit Yeung
ShellNet: Efficient Point Cloud Convolutional Neural Networks Using Concentric Shells Statistics. ICCV (2019)
Quang-Hieu Pham, Binh-Son Hua, Duc Thanh Nguyen, Sai-Kit Yeung
Real-Time Progressive 3D Semantic Segmentation for Indoor Scenes. WACV (2019)
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 (2019)
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)
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 (2019)
Zhiyuan Zhang, Binh-Son Hua, David W. Rosen, Sai-Kit Yeung
Rotation Invariant Convolutions for 3D Point Clouds Deep Learning. CoRR (2019)
Zhiyuan Zhang, Binh-Son Hua, David W. Rosen, Sai-Kit Yeung
Rotation Invariant Convolutions for 3D Point Clouds Deep Learning. 3DV (2019)
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) (2018)
Adrien Gruson, Binh-Son Hua, Nicolas Vibert, Derek Nowrouzezahrai, Toshiya Hachisuka
Gradient-domain volumetric photon density estimation. ACM Trans. Graph. 37 (4) (2018)
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)
Quang-Hieu Pham, Binh-Son Hua, Duc Thanh Nguyen, Sai-Kit Yeung
Real-time Progressive 3D Semantic Segmentation for Indoor Scene. CoRR (2018)
Binh-Son Hua, Minh-Khoi Tran, Sai-Kit Yeung
Pointwise Convolutional Neural Networks. CVPR (2018)
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) (2018)
Ramanpreet Singh Pahwa, Minh N. Do, Tian-Tsong Ng, Binh-Son Hua
Calibration of depth cameras using denoised depth images. CoRR (2017)
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)
Binh-Son Hua, Minh-Khoi Tran, Sai-Kit Yeung
Point-wise Convolutional Neural Network. CoRR (2017)
Binh-Son Hua, Adrien Gruson, Derek Nowrouzezahrai, Toshiya Hachisuka
Gradient-Domain Photon Density Estimation. Comput. Graph. Forum 36 (2) (2017)
Duc Thanh Nguyen, Binh-Son Hua, Lap-Fai Yu, Sai-Kit Yeung
A Robust 3D-2D Interactive Tool for Scene Segmentation and Annotation. CoRR (2016)
Duc Thanh Nguyen, Binh-Son Hua, Minh-Khoi Tran, Quang-Hieu Pham, Sai-Kit Yeung
A Field Model for Repairing 3D Shapes. CVPR (2016)
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)
Binh-Son Hua, Kok-Lim Low
Guided path tracing using clustered virtual point lights. SIGGRAPH Asia Posters (2015)
Ramanpreet Singh Pahwa, Minh N. Do, Tian-Tsong Ng, Binh-Son Hua
Calibration of depth cameras using denoised depth images. ICIP (2014)
Binh-Son Hua, Tian-Tsong Ng, Kok-Lim Low
Reconstruction of depth and normals from interreflections. ICIP (2013)
Li Shen, Chuohao Yeo, Binh-Son Hua
Intrinsic Image Decomposition Using a Sparse Representation of Reflectance. IEEE Trans. Pattern Anal. Mach. Intell. 35 (12) (2013)
Binh-Son Hua, Imari Sato, Kok-Lim Low
Direct and progressive reconstruction of dual photography images. ICIP (2013)
Binh-Son Hua, Kok-Lim Low
Interactive motion deblurring using light streaks. ICIP (2011)
Lei Wang, Binh-Son Hua, Xueqing Li
Adaptive Energy Diffusion for Blind Inverse Halftoning. PCM (1) (2010)