Anh Nguyen

Affiliations:
  • Auburn University, Auburn, AL, USA


According to our database1, Anh Nguyen authored at least 43 papers between 2013 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
GlitchBench: Can large multimodal models detect video game glitches?
CoRR, 2023

Zoom is what you need: An empirical study of the power of zoom and spatial biases in image classification.
CoRR, 2023

ImageNet-Hard: The Hardest Images Remaining from a Study of the Power of Zoom and Spatial Biases in Image Classification.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

PiC: A Phrase-in-Context Dataset for Phrase Understanding and Semantic Search.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Convolutional Neural Networks Based Classification of Mammograms.
Proceedings of the 2023 International Conference on Advances in Computing Research (ACR'23), 2023

2022
How explainable are adversarially-robust CNNs?
CoRR, 2022

Visual correspondence-based explanations improve AI robustness and human-AI team accuracy.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Double Trouble: How to not Explain a Text Classifier's Decisions Using Counterfactuals Synthesized by Masked Language Models?
Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022

DeepFace-EMD: Re-ranking Using Patch-wise Earth Mover's Distance Improves Out-Of-Distribution Face Identification.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Inverting Adversarially Robust Networks for Image Synthesis.
Proceedings of the Computer Vision - ACCV 2022, 2022

gScoreCAM: What Objects Is CLIP Looking At?
Proceedings of the Computer Vision - ACCV 2022, 2022

2021
The DEformer: An Order-Agnostic Distribution Estimating Transformer.
CoRR, 2021

baller2vec++: A Look-Ahead Multi-Entity Transformer For Modeling Coordinated Agents.
CoRR, 2021

baller2vec: A Multi-Entity Transformer For Multi-Agent Spatiotemporal Modeling.
CoRR, 2021

The effectiveness of feature attribution methods and its correlation with automatic evaluation scores.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Out of Order: How important is the sequential order of words in a sentence in Natural Language Understanding tasks?
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020
Are there any 'object detectors' in the hidden layers of CNNs trained to identify objects or scenes?
CoRR, 2020

Intriguing generalization and simplicity of adversarially trained neural networks.
CoRR, 2020

The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities.
Artif. Life, 2020

SAM: The Sensitivity of Attribution Methods to Hyperparameters.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

A Cost-Effective Method for Improving and Re-purposing Large, Pre-trained GANs by Fine-Tuning Their Class-Embeddings.
Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

Explaining Image Classifiers by Removing Input Features Using Generative Models.
Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

2019
Understanding Neural Networks via Feature Visualization: A Survey.
Proceedings of the Explainable AI: Interpreting, 2019

Improving sample diversity of a pre-trained, class-conditional GAN by changing its class embeddings.
CoRR, 2019

Removing input features via a generative model to explain their attributions to classifier's decisions.
CoRR, 2019

Understanding Neural Networks via Feature Visualization: A survey.
CoRR, 2019

An Approach to Pulse Symbols Based Fuzzy Reasoning in Diagnosis of Traditional Vietnamese Medicine Including the Importance of Symptoms.
Proceedings of the Fuzzy Techniques: Theory and Applications, 2019

Improving Robustness to Adversarial Examples by Encouraging Discriminative Features.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Strike (With) a Pose: Neural Networks Are Easily Fooled by Strange Poses of Familiar Objects.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Selectivity metrics provide misleading estimates of the selectivity of single units in neural networks.
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

2018
Automatically identifying, counting, and describing wild animals in camera-trap images with deep learning.
Proc. Natl. Acad. Sci. USA, 2018

Improving Adversarial Robustness by Encouraging Discriminative Features.
CoRR, 2018

VectorDefense: Vectorization as a Defense to Adversarial Examples.
CoRR, 2018

A Fuzzy Model of Diagnosis and Treatment by Acupuncture Based on Pulse Symbols by Triple Cun - Guan - Chi of Traditional Oriental Medicine.
Proceedings of the 2018 IEEE International Conference on Fuzzy Systems, 2018

2017
Spatial PixelCNN: Generating Images from Patches.
CoRR, 2017

Automatically identifying wild animals in camera trap images with deep learning.
CoRR, 2017

3DTouch: Towards a Wearable 3D Input Device for 3D Applications.
CoRR, 2017

Plug & Play Generative Networks: Conditional Iterative Generation of Images in Latent Space.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
Understanding Innovation Engines: Automated Creativity and Improved Stochastic Optimization via Deep Learning.
Evol. Comput., 2016

2015
3DTouch: A wearable 3D input device for 3D applications.
Proceedings of the 2015 IEEE Virtual Reality, 2015

2014
3DTouch: A wearable 3D input device with an optical sensor and a 9-DOF inertial measurement unit.
CoRR, 2014

Low-cost Augmented Reality prototype for controlling network devices.
CoRR, 2014

2013
Single- and multi-objective genetic programming: new bounds for weighted order and majority.
Proceedings of the Foundations of Genetic Algorithms XII, 2013


  Loading...