← Authors

Thanh Nguyen

24 papers · 2018–2024 · 13 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🌍 Conference Polyglot (13) πŸƒ Academic Marathon (6) 🐝 Cross-Pollinator (5) 🌈 Renaissance Researcher (8) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (49) 🧬 Topic Evolution ⚑ Prolific Year (6) πŸš€ Conference Pioneer ❓ The Questioner (2) πŸ’Ž Century Club (24) πŸ—ƒοΈ Keyword Collector (97) πŸ“ˆ Trend Setter πŸ”₯ Unstoppable (7)

Conferences

CVPR (3) ECCV (3) IJCAI (3) NIPS (3) ICCV (2) MICCAI (2) MIDL (2) AAAI (1) ACL (1) AISTATS (1) EMNLP (1) ICML (1) WACV (1)

Top co-authors

Binh-Son Hua (6) Sai-Kit Yeung (6) Arunesh Sinha (3) Quang-Hieu Pham (3) Svetha Venkatesh (2) Santu Rana (2) Jaeyeon Kim (2) Minh Hoai (2) Jinwei Zhang (2) Haifeng Xu (2)

Keywords

neural network (5) point cloud (4) convolutional neural network (3) stackelberg game (3) 3d reconstruction (2) quantitative susceptibility mapping (2) security game (2) instance segmentation (2) semantic segmentation (2) domain generalization (1) compressive sensing (1) sparse coding (1) policy gradient (1) bounded rationality (1) probabilistic modeling (1) reinforcement learning (1) matrix factorization (1) multi-modal learning (1) game theory (1) information retrieval (1)

Papers

Tackling Stackelberg Network Interdiction against a Boundedly Rational Adversary IJCAI 2024
AcneAI: A new acne severity assessment method using digital images and deep learning MICCAI 2024
A Deep Learning Approach for Placing Magnetic Resonance Spectroscopy Voxels in Brain Tumors MICCAI 2024
PointInverter: Point Cloud Reconstruction and Editing via a Generative Model With Shape Priors WACV 2023
Building a Personalized Messaging System for Health Intervention in Underprivileged Regions Using Reinforcement Learning IJCAI 2023
Generative Modelling of Stochastic Actions with Arbitrary Constraints in Reinforcement Learning NIPS 2023
When Can the Defender Effectively Deceive Attackers in Security Games? AAAI 2022
SoftGroup for 3D Instance Segmentation on Point Clouds CVPR 2022
Few-Shot Object Counting and Detection ECCV 2022
Whose Hands Are These? Hand Detection and Hand-Body Association in the Wild CVPR 2022
RFNet-4D: Joint Object Reconstruction and Flow Estimation from 4D Point Clouds ECCV 2022
Neural Scene Decoration from a Single Photograph ECCV 2022
FaBULOUS: Fact-checking Based on Understanding of Language Over Unstructured and Structured information EMNLP 2021
Implicit Sparse Regularization: The Impact of Depth and Early Stopping NIPS 2021
Minimal Adversarial Examples for Deep Learning on 3D Point Clouds ICCV 2021
Hybrid optimization between iterative and network fine-tuning reconstructions for fast quantitative susceptibility mapping MIDL 2021
Distributionally Robust Bayesian Quadrature Optimization AISTATS 2020
Bayesian Learning of Probabilistic Dipole Inversion for Quantitative Susceptibility Mapping MIDL 2020
Learning Robust Models for e-Commerce Product Search ACL 2020
JSIS3D: Joint Semantic-Instance Segmentation of 3D Point Clouds With Multi-Task Pointwise Networks and Multi-Value Conditional Random Fields CVPR 2019
Imitative Attacker Deception in Stackelberg Security Games IJCAI 2019
Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data ICCV 2019
Bayesian Optimization with Unknown Search Space NIPS 2019
On Learning Sparsely Used Dictionaries from Incomplete Samples ICML 2018