Thanh Nguyen
24 papers · 2018–2024 · 13 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (6) π Cross-Pollinator (5) π§ Keyword Pioneer π Conference Polyglot (13) π Renaissance Researcher (8)
π
Renaissance Researcher
(8)
π
Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(49)
π§¬
Topic Evolution
β‘
Prolific Year
(6)
π
Conference Pioneer
β
The Questioner
(2)
π
Century Club
(24)
ποΈ
Keyword Collector
(97)
π
Trend Setter
π₯
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
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