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Research

Below are selected research projects in Vision, NLP, Machine Learning, Human-Computer Interaction, and their intersections. Feel free to reach out if you have any questions/thoughts (I’m a major contributor, either the first or last/senior author, in most of these projects).

Twitter: @anh_ng8 | Youtube: some videos of my research. Full list of publications on my Google Scholar.

Select a category:

Vision Language Models are Biased

An Vo*, Khai-Nguyen Nguyen*, Mohammad Reza Taesiri, Vy Tuong Dang, Daeyoung Kim, Anh Nguyen
2025
Links: pdf | code | project page
TAB: Transformer Attention Bottlenecks enable User Intervention and Debugging in Vision-Language Models

Pooyan Rahmanzadehgervi, Hung Huy Nguyen, Rosanne Liu, Long Mai, Anh Totti Nguyen
2025
Links: pdf | code | project page
Interpretable LLM-based Table Question Answering

Giang Nguyen, Ivan Brugere, Shubham Sharma, Sanjay Kariyappa, Anh Totti Nguyen, Freddy Lecue
2025
Links: pdf | code | project page
Improving zero-shot object-level change detection by incorporating visual correspondence

Hung Huy Nguyen, Pooyan Rahmanzadehgervi, Long Mai, Anh Totti Nguyen
WACV 2025
Links: pdf | code | project page
HoT: Highlighted Chain of Thought for Referencing Supporting Facts from Inputs

Tin Nguyen*, Logan Bolton*, Mohammad Reza Taesiri, Anh Totti Nguyen
2025
Links: pdf | code | project page
Understanding Generative AI Capabilities in Everyday Image Editing Tasks

Mohammad Reza Taesiri, Brandon Collins, Logan Bolton, Viet Dac Lai, Franck Dernoncourt, Trung Bui, Anh Totti Nguyen
2025
Links: pdf | code | project page
B-score: Detecting biases in large language models using response history

An Vo, Mohammad Reza Taesiri, Daeyoung Kim, Anh Nguyen
ICML 2025
Links: pdf | code | project page
PCNN: Probable-Class Nearest-Neighbor Explanations Improve Fine-Grained Image Classification Accuracy for AIs and Humans

Giang Nguyen, Valerie Chen, Mohammad Reza Taesiri, Anh Totti Nguyen
TMLR 2024
Links: pdf | code | project page
Vision Language Models Are Blind

Pooyan Rahmanzadehgervi*, Logan Bolton*, Mohammad Reza Taesiri, Anh Totti Nguyen
ACCV 2024
Links: pdf | code | project page
PEEB: Part-based Image Classifiers with an Explainable and Editable Language Bottleneck

Thang M. Pham*, Peijie Chen*, Tin Nguyen*, Seunghyun Yoon, Trung Bui, Anh Totti Nguyen
NAACL 2024
Links: pdf | code | project page
GlitchBench: Can large multimodal models detect video game glitches?

Mohammad Reza Taesiri, Tianjun Feng, Cor-Paul Bezemer, Anh Totti Nguyen
CVPR 2024
Links: pdf | code | project page
Fast and Interpretable Face Identification for Out-Of-Distribution Data Using Vision Transformers

Hai Phan, Cindy X. Le, Vu Le, Yihui Le, Anh Totti Nguyen
WACV 2023
Links: pdf | code | project page
ImageNet-Hard: The Hardest Images Remaining from a Study of the Power of Zoom and Spatial Biases in Image Classification

Mohammad Reza Taesiri, Giang Nguyen, Sarra Habchi, Cor-Paul Bezemer, Anh Nguyen
NeurIPS 2023
Links: pdf | code | project page
gScoreCAM: What objects is CLIP looking at?

Peijie Chen, Qi Li, Saad Biaz, Trung Bui, Anh Nguyen
ACCV 2022
Links: pdf | code | project page
Visual correspondence-based explanations improve AI robustness and human-AI team accuracy

Giang Nguyen*, Mohammad Reza Taesiri*, Anh Nguyen
NeurIPS 2022
Links: pdf | code | project page
PiC: A Phrase-in-Context Dataset for Phrase Understanding and Semantic Search

Thang M. Pham, Seunghyun Yoon, Trung Bui, Anh Nguyen
EACL 2023
Links: pdf | code | project page
How explainable are adversarially-robust CNNs?

Mehdi Nourelahi, Lars Kotthoff, Peijie Chen, Anh Nguyen
2022
Links: pdf | code | project page
DeepFace-EMD: Re-ranking Using Patch-wise Earth Mover’s Distance Improves Out-Of-Distribution Face Identification

Hai Phan, Anh Nguyen
CVPR 2022
Links: pdf | code | project page
Double Trouble: How to not explain a text classifier’s decisions using counterfactuals synthesized by masked language models

Thang M. Pham, Trung Bui, Long Mai, Anh Nguyen
AACL 2022
Links: pdf | code | project page
Inverting Adversarially Robust Networks for Image Synthesis

Renan A. Rojas-Gomez, Raymond A. Yeh, Minh N. Do, Anh Nguyen
ACCV 2022
Links: pdf | code | project page
The effectiveness of feature attribution methods and its correlation with automatic evaluation scores

Giang Nguyen, Daeyoung Kim, Anh Nguyen
NeurIPS 2021
Links: pdf | code | project page
baller2vec: A Multi-Entity Transformer For Multi-Agent Spatiotemporal Modeling

Michael Alcorn, Anh Nguyen
2021
Links: pdf | code | project page
Out of Order: How important is the sequential order of words in a sentence in Natural Language Understanding tasks?

Thang M. Pham, Trung Bui, Long Mai, Anh Nguyen
Findings of ACL 2021
Links: pdf | code | project page
The shape and simplicity biases of adversarially robust ImageNet-trained CNNs

Peijie Chen*, Chirag Agarwal*, Anh Nguyen*
WHI 2020
Links: pdf | code | project page
SAM: The Sensitivity of Attribution Methods to Hyperparameters

Naman Bansal*, Chirag Agarwal*, Anh Nguyen*
CVPR 2020
Links: pdf | code | project page
A cost-effective method for improving and re-purposing large, pre-trained GANs by fine-tuning their class-embeddings

Qi Li, Long Mai, Michael A. Alcorn, Anh Nguyen
ACCV 2020
Links: pdf | code | project page
Explaining image classifiers by removing input features using generative models

Chirag Agarwal, Anh Nguyen
ACCV 2020
Links: pdf | code | project page
Strike (with) a Pose: Neural networks are easily fooled by strange poses of familiar objects

Michael Alcorn, Qi Li, Zhitao Gong, Chengfei Wang, Long Mai, Wei-shinn Ku, Anh Nguyen
CVPR 2019
Links: pdf | code | project page
Automatically identifying, counting, and describing wild animals in camera-trap images with deep learning

Mohammad S. Norouzzadeh, Anh Nguyen, Margaret Kosmala, Alexandra Swanson, Meredith S. Palmer, Craig Packer, and Jeff Clune
PNAS 2018
Links: pdf | code | project page
VectorDefense: Vectorization as a Defense to Adversarial Examples

Vishaal M. Kabilan, Brandon Morris, Anh Nguyen
2018
Links: pdf | code | project page