Anh Nguyen

50 papers · 2015–2026 · 16 conferences · across top CS/AI conferences

Achievements

🌈 Renaissance Researcher (11) 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🗺️ Taxonomy Completionist (100) 🌍 Conference Polyglot (16) 🏃 Academic Marathon (10) 🌉 Interdisciplinary Bridge 🐝 Cross-Pollinator (11) 🔬 Deep Specialist (10) 🧬 Topic Evolution 🏆 Keyword Champion (3) 📈 Trend Setter 🗃️ Keyword Collector (210) 💎 Century Club (49) ⚡ Prolific Year (12) 🚀 Conference Pioneer ❓ The Questioner (6) 🔥 Unstoppable (7)

Conferences

CVPR (11) NIPS (8) ICCV (6) ECCV (4) ACL (3) MICCAI (3) AAAI (2) EMNLP (2) IJCNLP (2) NAACL (2) WACV (2) AACL (1) ACML (1) EACL (1) ICLR (1) SEMEVAL (1)

Top co-authors

Thang Pham (7) Trung Bui (6) Thieu Vo (5) Ngan Le (5) Long Mai (5) Kaizhu Huang (5) Wei Wang (5) Baoru Huang (4) Erman Tjiputra (4) Yuqi Wang (4)

Keywords

diffusion model (5) image classification (4) text classification (4) neural network (4) numerical reasoning (3) medical imaging (3) vision-language model (3) attribution method (3) eye tracking (2) image generation (2) model interpretability (2) robotic manipulation (2) domain generalization (2) transfer learning (2) conditional generation (2) multi-task learning (2) feature attribution (2) model compression (2) feature extraction (2) data augmentation (2)

Papers

Rethinking Progression of Memory State in Robotic Manipulation: An Object-Centric Perspective AAAI 2026

More Reliable Pseudo-labels, Better Performance: A Generalized Approach to Single Positive Multi-label Learning ICCV 2025

CT-ScanGaze: A Dataset and Baselines for 3D Volumetric Scanpath Modeling ICCV 2025

NUMINA: A Natural Understanding Benchmark for Multi-dimensional Intelligence and Numerical Reasoning Abilities EMNLP 2025

Towards a Universal 3D Medical Multi-modality Generalization via Learning Personalized Invariant Representation ICCV 2025

EgoMusic-driven Human Dance Motion Estimation with Skeleton Mamba ICCV 2025

Pathology-Informed Latent Diffusion Model for Anomaly Detection in Lymph Node Metastasis MICCAI 2025

Supercharged One-step Text-to-Image Diffusion Models with Negative Prompts ICCV 2025

Are Spatial-Temporal Graph Convolution Networks for Human Action Recognition Over-Parameterized? CVPR 2025

LP-Diff: Towards Improved Restoration of Real-World Degraded License Plate CVPR 2025

Fractal Calibration for Long-tailed Object Detection CVPR 2025

Scalable Group Choreography via Variational Phase Manifold Learning ECCV 2024

Knowledge Distillation from Monolingual to Multilingual Models for Intelligent and Interpretable Multilingual Emotion Detection ACL 2024

I-AI: A Controllable & Interpretable AI System for Decoding Radiologists' Intense Focus for Accurate CXR Diagnoses WACV 2024

PEEB: Part-based Image Classifiers with an Explainable and Editable Language Bottleneck NAACL 2024

Language-driven Grasp Detection CVPR 2024

Multi-disease Detection in Retinal Images Guided by Disease Causal Estimation MICCAI 2024

Language-Driven 6-DoF Grasp Detection Using Negative Prompt Guidance ECCV 2024

Adaptive Parametric Activation ECCV 2024

Dynamic Semantic-Based Spatial Graph Convolution Network for Skeleton-Based Human Action Recognition AAAI 2024

CLIP-DR: Textual Knowledge-Guided Diabetic Retinopathy Grading with Ranking-aware Prompting MICCAI 2024

DKE-Research at SemEval-2024 Task 2: Incorporating Data Augmentation with Generative Models and Biomedical Knowledge to Enhance Inference Robustness SEMEVAL 2024

GlitchBench: Can Large Multimodal Models Detect Video Game Glitches? CVPR 2024

Interpret Your Decision: Logical Reasoning Regularization for Generalization in Visual Classification NIPS 2024

DKE-Research at SemEval-2024 Task 2: Incorporating Data Augmentation with Generative Models and Biomedical Knowledge to Enhance Inference Robustness NAACL 2024

PiC: A Phrase-in-Context Dataset for Phrase Understanding and Semantic Search EACL 2023

Meet in the Middle: A New Pre-training Paradigm NIPS 2023

Language-driven Scene Synthesis using Multi-conditional Diffusion Model NIPS 2023

ImageNet-Hard: The Hardest Images Remaining from a Study of the Power of Zoom and Spatial Biases in Image Classification NIPS 2023

New Bounds for Hyperparameter Tuning of Regression Problems Across Instances NIPS 2023

Prompt-based Zero-shot Text Classification with Conceptual Knowledge ACL 2023

Learning to Terminate in Object Navigation ACML 2023

Music-Driven Group Choreography CVPR 2023

The Vault: A Comprehensive Multilingual Dataset for Advancing Code Understanding and Generation EMNLP 2023

Reducing Training Time in Cross-Silo Federated Learning Using Multigraph Topology ICCV 2023

CodeT: Code Generation with Generated Tests ICLR 2023

Uncertainty-Aware Label Distribution Learning for Facial Expression Recognition WACV 2023

Long-Tailed Instance Segmentation Using Gumbel Optimized Loss ECCV 2022

DeepFace-EMD: Re-Ranking Using Patch-Wise Earth Mover's Distance Improves Out-of-Distribution Face Identification CVPR 2022

Visual correspondence-based explanations improve AI robustness and human-AI team accuracy NIPS 2022

Double Trouble: How to not Explain a Text Classifier’s Decisions Using Counterfactuals Synthesized by Masked Language Models? IJCNLP 2022

Double Trouble: How to not Explain a Text Classifier’s Decisions Using Counterfactuals Synthesized by Masked Language Models? AACL 2022

The effectiveness of feature attribution methods and its correlation with automatic evaluation scores NIPS 2021

Out of Order: How important is the sequential order of words in a sentence in Natural Language Understanding tasks? IJCNLP 2021

Out of Order: How important is the sequential order of words in a sentence in Natural Language Understanding tasks? ACL 2021

SAM: The Sensitivity of Attribution Methods to Hyperparameters CVPR 2020

Strike (With) a Pose: Neural Networks Are Easily Fooled by Strange Poses of Familiar Objects CVPR 2019

Plug & Play Generative Networks: Conditional Iterative Generation of Images in Latent Space CVPR 2017

Synthesizing the preferred inputs for neurons in neural networks via deep generator networks NIPS 2016

Deep Neural Networks Are Easily Fooled: High Confidence Predictions for Unrecognizable Images CVPR 2015