Adaptive Energy Diffusion for Blind Inverse Halftoning. - Lei Wang 184; Binh-Son Hua; Xueqing Li (PCM (1), 2010)

Interactive motion deblurring using light streaks. - Binh-Son Hua; Kok-Lim Low (ICIP, 2011)

Reconstruction of depth and normals from interreflections. - Binh-Son Hua; Tian-Tsong Ng; Kok-Lim Low (ICIP, 2013)

Direct and progressive reconstruction of dual photography images. - Binh-Son Hua; Imari Sato; Kok-Lim Low (ICIP, 2013)

Intrinsic Image Decomposition Using a Sparse Representation of Reflectance. - Li Shen 003; Chuohao Yeo; Binh-Son Hua (IEEE Trans. Pattern Anal. Mach. Intell., 2013)

Calibration of depth cameras using denoised depth images. - Ramanpreet Singh Pahwa; Minh N. Do; Tian-Tsong Ng; Binh-Son Hua (ICIP, 2014)

Guided path tracing using clustered virtual point lights. - Binh-Son Hua; Kok-Lim Low (SIGGRAPH Asia Posters, 2015)

SceneNN: A Scene Meshes Dataset with aNNotations. - Binh-Son Hua; Quang-Hieu Pham; Duc Thanh Nguyen; Minh-Khoi Tran; Lap-Fai Yu; Sai-Kit Yeung (3DV, 2016)

A Field Model for Repairing 3D Shapes. - Duc Thanh Nguyen; Binh-Son Hua; Minh-Khoi Tran; Quang-Hieu Pham; Sai-Kit Yeung (CVPR, 2016)

RGB-D to CAD Retrieval with ObjectNN Dataset. - Binh-Son Hua; Quang-Trung Truong; Minh-Khoi Tran; Quang-Hieu Pham; Asako Kanezaki; Tang Lee; HungYueh Chiang; Winston H. Hsu; Bo Li 013; Yijuan Lu; Henry Johan; Shoki Tashiro; et al. (3DOR@Eurographics, 2017)

Gradient-Domain Photon Density Estimation. - Binh-Son Hua; Adrien Gruson; Derek Nowrouzezahrai; Toshiya Hachisuka (Comput. Graph. Forum, 2017)

Point-wise Convolutional Neural Network. - Binh-Son Hua; Minh-Khoi Tran; Sai-Kit Yeung (CoRR, 2017)

RGB-D Object-to-CAD Retrieval. - Quang-Hieu Pham; Minh-Khoi Tran; Wenhui Li 001; Shu Xiang; Heyu Zhou; Weizhi Nie; Anan Liu; Yuting Su 001; Minh-Triet Tran; Ngoc-Minh Bui; Trong-Le Do; Tu V. Ninh; et al. (3DOR@Eurographics, 2018)

Pointwise Convolutional Neural Networks. - Binh-Son Hua; Minh-Khoi Tran; Sai-Kit Yeung (CVPR, 2018)

Real-time Progressive 3D Semantic Segmentation for Indoor Scene. - Quang-Hieu Pham; Binh-Son Hua; Duc Thanh Nguyen; Sai-Kit Yeung (CoRR, 2018)

Gradient-domain volumetric photon density estimation. - Adrien Gruson; Binh-Son Hua; Nicolas Vibert; Derek Nowrouzezahrai; Toshiya Hachisuka (ACM Trans. Graph., 2018)

Language-driven synthesis of 3D scenes from scene databases. - Rui Ma 011; Akshay Gadi Patil; Matthew Fisher; Manyi Li; Sören Pirk; Binh-Son Hua; Sai-Kit Yeung; Xin Tong 001; Leonidas J. Guibas; Hao Zhang 002 (ACM Trans. Graph., 2018)

A Robust 3D-2D Interactive Tool for Scene Segmentation and Annotation. - Duc Thanh Nguyen; Binh-Son Hua; Lap-Fai Yu; Sai-Kit Yeung (IEEE Trans. Vis. Comput. Graph., 2018)

Rotation Invariant Convolutions for 3D Point Clouds Deep Learning. - Zhiyuan Zhang 004; Binh-Son Hua; David W. Rosen; Sai-Kit Yeung (3DV, 2019)

JSIS3D: Joint Semantic-Instance Segmentation of 3D Point Clouds With Multi-Task Pointwise Networks and Multi-Value Conditional Random Fields. - Quang-Hieu Pham; Duc Thanh Nguyen; Binh-Son Hua; Gemma Roig; Sai-Kit Yeung (CVPR, 2019)

Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data. - Mikaela Angelina Uy; Quang-Hieu Pham; Binh-Son Hua; Duc Thanh Nguyen; Sai-Kit Yeung (ICCV, 2019)

ShellNet: Efficient Point Cloud Convolutional Neural Networks Using Concentric Shells Statistics. - Zhiyuan Zhang 004; Binh-Son Hua; Sai-Kit Yeung (ICCV, 2019)

Creating and understanding 3D annotated scene meshes. - Duc Thanh Nguyen; Quang-Hieu Pham; Binh-Son Hua (SIGGRAPH Asia, 2019)

Real-Time Progressive 3D Semantic Segmentation for Indoor Scenes. - Quang-Hieu Pham; Binh-Son Hua; Duc Thanh Nguyen; Sai-Kit Yeung (WACV, 2019)

A Survey on Gradient-Domain Rendering. - Binh-Son Hua; Adrien Gruson; Victor Petitjean; Matthias Zwicker; Derek Nowrouzezahrai; Elmar Eisemann; Toshiya Hachisuka (Comput. Graph. Forum, 2019)

Global Context Aware Convolutions for 3D Point Cloud Understanding. - Zhiyuan Zhang 004; Binh-Son Hua; Wei Chen; Yibin Tian; Sai-Kit Yeung (3DV, 2020)

LCD: Learned Cross-Domain Descriptors for 2D-3D Matching. - Quang-Hieu Pham; Mikaela Angelina Uy; Binh-Son Hua; Duc Thanh Nguyen; Gemma Roig; Sai-Kit Yeung (AAAI, 2020)

Deep combiner for independent and correlated pixel estimates. - Jonghee Back; Binh-Son Hua; Toshiya Hachisuka; Bochang Moon (ACM Trans. Graph., 2020)

Minimal Adversarial Examples for Deep Learning on 3D Point Clouds. - Jaeyeon Kim; Binh-Son Hua; Duc Thanh Nguyen; Sai-Kit Yeung (ICCV, 2021)

Point-set Distances for Learning Representations of 3D Point Clouds. - Trung Nguyen; Quang-Hieu Pham; Tam Le; Tung Pham 001; Nhat Ho; Binh-Son Hua (ICCV, 2021)

Network Pruning That Matters: A Case Study on Retraining Variants. - Duong H. Le 001; Binh-Son Hua (ICLR, 2021)

Point-Unet: A Context-Aware Point-Based Neural Network for Volumetric Segmentation. - Ngoc-Vuong Ho; Tan Nguyen; Gia-Han Diep; Ngan Le; Binh-Son Hua (MICCAI (1), 2021)

3D-UCaps: 3D Capsules Unet for Volumetric Image Segmentation. - Tan Nguyen; Binh-Son Hua; Ngan Le (MICCAI (1), 2021)

POODLE: Improving Few-shot Learning via Penalizing Out-of-Distribution Samples. - Duong H. Le 001; Khoi D. Nguyen 001; Khoi Nguyen 001; Quoc-Huy Tran; Rang Nguyen; Binh-Son Hua (NeurIPS, 2021)

Neural Sequence Transformation. - Sabyasachi Mukherjee; Sayan Mukherjee 006; Binh-Son Hua; Nobuyuki Umetani; Daniel Meister 002 (Comput. Graph. Forum, 2021)

Neural Scene Decoration from a Single Photograph. - Hong-Wing Pang; Yingshu Chen; Binh-Son Hua; Sai-Kit Yeung (CoRR, 2021)

TISE: A Toolbox for Text-to-Image Synthesis Evaluation. - Tan M. Dinh; Rang Nguyen; Binh-Son Hua (CoRR, 2021)

Self-supervised Learning with Multi-view Rendering for 3D Point Cloud Analysis. - Bach Tran; Binh-Son Hua; Anh Tuan Tran 001; Minh Hoai (ACCV (1), 2022)

HyperInverter: Improving StyleGAN Inversion via Hypernetwork. - Tan M. Dinh; Anh Tuan Tran 001; Rang Nguyen; Binh-Son Hua (CVPR, 2022)

TISE: Bag of Metrics for Text-to-Image Synthesis Evaluation. - Tan M. Dinh; Rang Nguyen; Binh-Son Hua (ECCV (36), 2022)

Inductive and Transductive Few-Shot Video Classification via Appearance and Temporal Alignments. - Khoi D. Nguyen 001; Quoc-Huy Tran; Khoi Nguyen 001; Binh-Son Hua; Rang Nguyen (ECCV (20), 2022)

Neural Scene Decoration from a Single Photograph. - Hong-Wing Pang; Yingshu Chen; Phuoc-Hieu Le; Binh-Son Hua; Duc Thanh Nguyen; Sai-Kit Yeung (ECCV (23), 2022)

RFNet-4D: Joint Object Reconstruction and Flow Estimation from 4D Point Clouds. - Tuan-Anh Vu; Duc Thanh Nguyen; Binh-Son Hua; Quang-Hieu Pham; Sai-Kit Yeung (ECCV (23), 2022)

Time-of-Day Neural Style Transfer for Architectural Photographs. - Yingshu Chen; Tuan-Anh Vu; Ka-Chun Shum; Sai-Kit Yeung; Binh-Son Hua (ICCP, 2022)

SS-3DCAPSNET: Self-Supervised 3d Capsule Networks for Medical Segmentation on Less Labeled Data. - Minh Tran; Loi Ly; Binh-Son Hua; Ngan Le (ISBI, 2022)

Self-Supervised Post-Correction for Monte Carlo Denoising. - Jonghee Back; Binh-Son Hua; Toshiya Hachisuka; Bochang Moon (SIGGRAPH (Conference Paper Track), 2022)

RIConv++: Effective Rotation Invariant Convolutions for 3D Point Clouds Deep Learning. - Zhiyuan Zhang 004; Binh-Son Hua; Sai-Kit Yeung (Int. J. Comput. Vis., 2022)

Regression-based Monte Carlo integration. - Corentin Salaün; Adrien Gruson; Binh-Son Hua; Toshiya Hachisuka; Gurprit Singh (ACM Trans. Graph., 2022)

ISBNet: a 3D Point Cloud Instance Segmentation Network with Instance-aware Sampling and Box-aware Dynamic Convolution. - Tuan Duc Ngo; Binh-Son Hua; Khoi Nguyen 001 (CVPR, 2023)

GaPro: Box-Supervised 3D Point Cloud Instance Segmentation Using Gaussian Processes as Pseudo Labelers. - Tuan Duc Ngo; Binh-Son Hua; Khoi Nguyen 001 (ICCV, 2023)

Locally Stylized Neural Radiance Fields. - Hong-Wing Pang; Binh-Son Hua; Sai-Kit Yeung (ICCV, 2023)

Conditional 360-degree Image Synthesis for Immersive Indoor Scene Decoration. - Ka-Chun Shum; Hong-Wing Pang; Binh-Son Hua; Duc Thanh Nguyen; Sai-Kit Yeung (ICCV, 2023)

Cross-Domain Autonomous Driving Perception Using Contrastive Appearance Adaptation. - Ziqiang Zheng; Yingshu Chen; Binh-Son Hua; Yang Wu 001; Sai-Kit Yeung (IROS, 2023)

CompUDA: Compositional Unsupervised Domain Adaptation for Semantic Segmentation Under Adverse Conditions. - Ziqiang Zheng; Yingshu Chen; Binh-Son Hua; Sai-Kit Yeung (IROS, 2023)

Input-Dependent Uncorrelated Weighting for Monte Carlo Denoising. - Jonghee Back; Binh-Son Hua; Toshiya Hachisuka; Bochang Moon (SIGGRAPH Asia, 2023)

PointInverter: Point Cloud Reconstruction and Editing via a Generative Model with Shape Priors. - Jaeyeon Kim; Binh-Son Hua; Duc Thanh Nguyen; Sai-Kit Yeung (WACV, 2023)

Single-Image HDR Reconstruction by Multi-Exposure Generation. - Phuoc-Hieu Le; Quynh Le; Rang Nguyen; Binh-Son Hua (WACV, 2023)

UWA360CAM: A 360° 24/7 Real-Time Streaming Camera System for Underwater Applications. - Quan-Dung Pham; Yipeng Zhu; Tan-Sang Ha; K. H. Long Nguyen; Binh-Son Hua; Sai-Kit Yeung (CoRR, 2023)

DiverseDream: Diverse Text-to-3D Synthesis with Augmented Text Embedding. - Uy Dieu Tran; Minh Luu; Phong Nguyen 001; Janne Heikkilä; Khoi Nguyen 001; Binh-Son Hua (CoRR, 2023)

Leveraging Open-Vocabulary Diffusion to Camouflaged Instance Segmentation. - Tuan-Anh Vu; Duc Thanh Nguyen; Qing Guo 005; Binh-Son Hua; Nhat Minh Chung; Ivor W. Tsang; Sai-Kit Yeung (CoRR, 2023)

Test-Time Augmentation for 3D Point Cloud Classification and Segmentation. - Tuan-Anh Vu; Srinjay Sarkar; Zhiyuan Zhang 004; Binh-Son Hua; Sai-Kit Yeung (3DV, 2024)

Language-driven Object Fusion into Neural Radiance Fields with Pose-Conditioned Dataset Updates. - Ka-Chun Shum; Jaeyeon Kim; Binh-Son Hua; Duc Thanh Nguyen; Sai-Kit Yeung (CVPR, 2024)

CoralSCOP: Segment any COral Image on this Planet. - Ziqiang Zheng; Haixin Liang; Binh-Son Hua; Yue Him Wong; Put Ang; Apple Pui Yi Chui; Sai-Kit Yeung (CVPR, 2024)

Diverse Text-to-3D Synthesis with Augmented Text Embedding. - Uy Dieu Tran; Minh Luu; Phong Ha Nguyen 001; Khoi Nguyen 001; Binh-Son Hua (ECCV (75), 2024)

MarineInst: A Foundation Model for Marine Image Analysis with Instance Visual Description. - Ziqiang Zheng; Yiwei Chen 003; Huimin Zeng; Tuan-Anh Vu; Binh-Son Hua; Sai-Kit Yeung (ECCV (2), 2024)

Self-supervised Video Object Segmentation with Distillation Learning of Deformable Attention. - Quang-Trung Truong; Duc Thanh Nguyen; Binh-Son Hua; Sai-Kit Yeung (CoRR, 2024)

Improving Referring Image Segmentation using Vision-Aware Text Features. - Hai Nguyen-Truong; E-Ro Nguyen; Tuan-Anh Vu; Minh-Triet Tran; Binh-Son Hua; Sai-Kit Yeung (CoRR, 2024)

ModeDreamer: Mode Guiding Score Distillation for Text-to-3D Generation using Reference Image Prompts. - Uy Dieu Tran; Minh Luu; Phong Nguyen-Ha 001; Khoi Nguyen 001; Binh-Son Hua (CoRR, 2024)

LiftRefine: Progressively Refined View Synthesis from 3D Lifting with Volume-Triplane Representations. - Tung Do; Thuan Hoang Nguyen; Anh Tuan Tran 001; Rang Nguyen; Binh-Son Hua (CoRR, 2024)

Dream-in-Style: Text-to-3D Generation Using Stylized Score Distillation. - Hubert Kompanowski; Binh-Son Hua (3DV, 2025)

SharpDepth: Sharpening Metric Depth Predictions Using Diffusion Distillation. - Duc-Hai Pham; Tung Do; Phong Nguyen; Binh-Son Hua; Khoi Nguyen; Rang Nguyen (CVPR, 2025)

Color Alignment in Diffusion. - Ka-Chun Shum; Binh-Son Hua; Duc Thanh Nguyen; Sai-Kit Yeung (CVPR, 2025)

Vision-Aware Text Features in Referring Image Segmentation: From Object Understanding to Context Understanding. - Hai Nguyen-Truong; E-Ro Nguyen; Tuan-Anh Vu; Minh-Triet Tran; Binh-Son Hua; Sai-Kit Yeung (WACV, 2025)

Text-to-3D Generation using Jensen-Shannon Score Distillation. - Hoang Khoi Do; Binh-Son Hua (CoRR, 2025)

AUTV: Creating Underwater Video Datasets with Pixel-wise Annotations. - Quang-Trung Truong; Yuk-Kwan Wong; Duc Thanh Nguyen; Binh-Son Hua; Sai-Kit Yeung (CoRR, 2025)

Domain Generalization via Pareto Optimal Gradient Matching. - Khoi Do; Duong Nguyen; Nam-Khanh Le; Quoc-Viet Pham; Binh-Son Hua; Won-Joo Hwang (CoRR, 2025)

Advances in 3D Neural Stylization: A Survey. - Yingshu Chen; Guocheng Shao; Ka-Chun Shum; Binh-Son Hua; Sai-Kit Yeung (Int. J. Comput. Vis., 2025)