Binh-Son Hua
31 papers · 2016–2026 · 7 venues · across top CS/AI venues
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Research topics
Computer Vision
(22)
Analysis
(16)
Deep Learning
(14)
Machine Learning
(14)
Artificial Intelligence
(8)
Core Methods
(7)
Learning Types Β· Machine Learning
(7)
Processing
(7)
Architectures
(6)
Core AI
(6)
Generation
(6)
Models
(5)
Learning Types Β· Deep Learning
(3)
Optimization & Theory
(2)
Computer Science
(1)
Keywords
semantic segmentation
(7)
point cloud
(7)
latent space
(3)
generative adversarial network
(3)
neural network
(3)
boundary detection
(2)
gan inversion
(2)
instance segmentation
(2)
foundation model
(2)
neural radiance field
(2)
diffusion model
(2)
image synthesis
(2)
convolutional neural network
(2)
image restoration
(2)
3d point cloud
(2)
3d vision
(2)
variational inference
(1)
image segmentation
(1)
image generation
(1)
few-shot learning
(1)
Papers
Power of Boundary and Reflection: Semantic Transparent Object Segmentation using Pyramid Vision Transformer with Transparent Cues
WACV 2026
SwiftTailor: Efficient 3D Garment Generation with Geometry Image Representation
CVPR 2026
Color Alignment in Diffusion
CVPR 2025
CoralSRT: Revisiting Coral Reef Semantic Segmentation by Feature Rectification via Self-supervised Guidance
ICCV 2025
SharpDepth: Sharpening Metric Depth Predictions Using Diffusion Distillation
CVPR 2025
Vision-Aware Text Features in Referring Image Segmentation: From Object Understanding to Context Understanding
WACV 2025
CoralSCOP: Segment any COral Image on this Planet
CVPR 2024
Diverse Text-to-3D Synthesis with Augmented Text Embedding
ECCV 2024
Language-driven Object Fusion into Neural Radiance Fields with Pose-Conditioned Dataset Updates
CVPR 2024
MarineInst: A Foundation Model for Marine Image Analysis with Instance Visual Description
ECCV 2024
Conditional 360-degree Image Synthesis for Immersive Indoor Scene Decoration
ICCV 2023
GaPro: Box-Supervised 3D Point Cloud Instance Segmentation Using Gaussian Processes as Pseudo Labelers
ICCV 2023
ISBNet: A 3D Point Cloud Instance Segmentation Network With Instance-Aware Sampling and Box-Aware Dynamic Convolution
CVPR 2023
Locally Stylized Neural Radiance Fields
ICCV 2023
PointInverter: Point Cloud Reconstruction and Editing via a Generative Model With Shape Priors
WACV 2023
Single-Image HDR Reconstruction by Multi-Exposure Generation
WACV 2023
HyperInverter: Improving StyleGAN Inversion via Hypernetwork
CVPR 2022
Inductive and Transductive Few-Shot Video Classification via Appearance and Temporal Alignments
ECCV 2022
Neural Scene Decoration from a Single Photograph
ECCV 2022
RFNet-4D: Joint Object Reconstruction and Flow Estimation from 4D Point Clouds
ECCV 2022
TISE: Bag of Metrics for Text-to-Image Synthesis Evaluation
ECCV 2022
Minimal Adversarial Examples for Deep Learning on 3D Point Clouds
ICCV 2021
Network Pruning That Matters: A Case Study on Retraining Variants
ICLR 2021
Point-Set Distances for Learning Representations of 3D Point Clouds
ICCV 2021
POODLE: Improving Few-shot Learning via Penalizing Out-of-Distribution Samples
NeurIPS 2021
LCD: Learned Cross-Domain Descriptors for 2D-3D Matching
AAAI 2020
JSIS3D: Joint Semantic-Instance Segmentation of 3D Point Clouds With Multi-Task Pointwise Networks and Multi-Value Conditional Random Fields
CVPR 2019
Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data
ICCV 2019
ShellNet: Efficient Point Cloud Convolutional Neural Networks Using Concentric Shells Statistics
ICCV 2019
Pointwise Convolutional Neural Networks
CVPR 2018
A Field Model for Repairing 3D Shapes
CVPR 2016