Anh Nguyen
- Papers
- 25
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Authored papers
25PolypSteer: Counterfactual Endoscopic Synthesis via Training-Free Activation Steering
arXiv 2026
FG-CXR: A Radiologist-Aligned Gaze Dataset for Enhancing Interpretability in Chest X-Ray Report Generation
arXiv 2024
Fractal Calibration for long-tailed object detection
CVPR 2025 1
Allowing humans to interactively guide machines where to look does not always improve human-AI team's classification accuracy
arXiv 2024
Samba: Semantic Segmentation of Remotely Sensed Images with State Space Model
arXiv 2024
Adaptive Parametric Activation
arXiv 2024
Music-Driven Group Choreography
CVPR 2023 1
Zoom is what you need: An empirical study of the power of zoom and spatial biases in image classification
arXiv 2023
I-AI: A Controllable & Interpretable AI System for Decoding Radiologists' Intense Focus for Accurate CXR Diagnoses
arXiv 2023
PiC: A Phrase-in-Context Dataset for Phrase Understanding and Semantic Search
arXiv 2022
Visual correspondence-based explanations improve AI robustness and human-AI team accuracy
arXiv 2022
Long-tailed Instance Segmentation using Gumbel Optimized Loss
arXiv 2022
Inverse Image Frequency for Long-tailed Image Recognition
arXiv 2022
Reducing Training Time in Cross-Silo Federated Learning using Multigraph Topology
ICCV 2023 1
DeepFace-EMD: Re-ranking Using Patch-wise Earth Mover's Distance Improves Out-Of-Distribution Face Identification
CVPR 2022 1
Inverting Adversarially Robust Networks for Image Synthesis
arXiv 2021
Polychrony as Chinampas
arXiv 2021
The effectiveness of feature attribution methods and its correlation with automatic evaluation scores
NeurIPS 2021 12
Double Trouble: How to not explain a text classifier's decisions using counterfactuals synthesized by masked language models?
arXiv 2021
SAM: The Sensitivity of Attribution Methods to Hyperparameters
sam-the-sensitivity-of-attribution-methods-to-1
A cost-effective method for improving and re-purposing large, pre-trained GANs by fine-tuning their class-embeddings
arXiv 2019
Explaining image classifiers by removing input features using generative models
arXiv 2019
Strike (with) a Pose: Neural Networks Are Easily Fooled by Strange Poses of Familiar Objects
strike-with-a-pose-neural-networks-are-easily-1
VectorDefense: Vectorization as a Defense to Adversarial Examples
arXiv 2018
Deep Neural Networks are Easily Fooled: High Confidence Predictions for Unrecognizable Images
deep-neural-networks-are-easily-fooled-high-1
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