Darryl Hannan

According to our database, Darryl Hannan authored at least 14 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Seeing Beyond Redundancy: Task Complexity's Role in Vision Token Specialization in VLLMs.

Darryl Hannan, John Cooper, Dylan White, Yijing Watkins

CoRR, February, 2026

2025

Saddle-Free Guidance: Improved On-Manifold Sampling without Labels or Additional Training.

Eric Yeats, Darryl Hannan, Wilson Fearn, Timothy Doster, Henry Kvinge, Scott Mahan

CoRR, November, 2025

A Connection Between Score Matching and Local Intrinsic Dimension.

Eric Yeats, Aaron Jacobson, Darryl Hannan, Yiran Jia, Timothy Doster, Henry Kvinge, Scott Mahan

CoRR, October, 2025

Automating Evaluation of Diffusion Model Unlearning with (Vision-) Language Model World Knowledge.

Eric Yeats, Darryl Hannan, Henry Kvinge, Timothy Doster, Scott Mahan

CoRR, July, 2025

FMG-Det: Foundation Model Guided Robust Object Detection.

Darryl Hannan, Timothy Doster, Henry Kvinge, Adam Attarian, Yijing Watkins

CoRR, May, 2025

Foundation Models for Remote Sensing: An Analysis of MLLMs for Object Localization.

Darryl Hannan, John Cooper, Dylan White, Timothy Doster, Henry Kvinge, Yijing Watkins

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025

2024

The Impact of an XAI-Augmented Approach on Binary Classification with Scarce Data.

Ximing Wen, Rosina O. Weber, Anik Sen, Darryl Hannan, Steven C. Nesbit, Vincent Chan, Alberto Goffi, Michael J. Morris, John C. Hunninghake, Nicholas E. Villalobos, Edward Kim, Christopher J. MacLellan

CoRR, 2024

Event-To-Video Conversion for Overhead Object Detection.

Darryl Hannan, Ragib Arnab, Gavin Parpart, Garrett T. Kenyon, Edward Kim, Yijing Watkins

Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation, 2024

Interpretable Models for Detecting and Monitoring Elevated Intracranial Pressure.

Darryl Hannan, Steven C. Nesbit, Ximing Wen, Glen Smith, Qiao Zhang, Alberto Goffi, Vincent Chan, Michael J. Morris, John C. Hunninghake, Nicholas E. Villalobos, Edward Kim, Rosina O. Weber, Christopher J. MacLellan

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023

MobilePTX: Sparse Coding for Pneumothorax Detection Given Limited Training Examples.

Darryl Hannan, Steven C. Nesbit, Ximing Wen, Glen Smith, Qiao Zhang, Alberto Goffi, Vincent Chan, Michael J. Morris, John C. Hunninghake, Nicholas E. Villalobos, Edward Kim, Rosina O. Weber, Christopher J. MacLellan

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

StoryDALL-E: Adapting Pretrained Text-to-Image Transformers for Story Continuation.

Adyasha Maharana, Darryl Hannan, Mohit Bansal

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Improving Generation and Evaluation of Visual Stories via Semantic Consistency.

Adyasha Maharana, Darryl Hannan, Mohit Bansal

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

2020

ManyModalQA: Modality Disambiguation and QA over Diverse Inputs.

Darryl Hannan, Akshay Jain, Mohit Bansal

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2018

Deep Sparse Coding for Invariant Multimodal Halle Berry Neurons.

Edward Kim, Darryl Hannan, Garrett T. Kenyon

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018