Anh Nguyen
50 papers · 2015–2026 · 16 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (11) π Renaissance Researcher (11) π Academic Marathon (10) π Conference Polyglot (16) π Interdisciplinary Bridge
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Interdisciplinary Bridge
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Cross-Pollinator
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Topic Evolution
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Keyword Champion
(3)
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Trend Setter
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Keyword Collector
(210)
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Century Club
(49)
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Prolific Year
(12)
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Conference Pioneer
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The Questioner
(6)
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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
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 Classifierβs Decisions Using Counterfactuals Synthesized by Masked Language Models?
IJCNLP 2022
Double Trouble: How to not Explain a Text Classifierβs 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