Mark Hamilton

According to our database, Mark Hamilton authored at least 33 papers between 1998 and 2024.

Collaborative distances:

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

2024

Seeing Faces in Things: A Model and Dataset for Pareidolia.

Mark Hamilton, Simon Stent, Vasha DuTell, Anne Harrington, Jennifer Corbett, Ruth Rosenholtz, William T. Freeman

CoRR, 2024

COCO-Periph: Bridging the Gap Between Human and Machine Perception in the Periphery.

Anne Harrington, Vasha DuTell, Mark Hamilton, Ayush Tewari, Simon Stent, William T. Freeman, Ruth Rosenholtz

Proceedings of the Twelfth International Conference on Learning Representations, 2024

FeatUp: A Model-Agnostic Framework for Features at Any Resolution.

Stephanie Fu, Mark Hamilton, Laura E. Brandt, Axel Feldmann, Zhoutong Zhang, William T. Freeman

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Separating the "Chirp" from the "Chat": Self-supervised Visual Grounding of Sound and Language.

Mark Hamilton, Andrew Zisserman, John R. Hershey, William T. Freeman

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Autonomous Detection of Mouse-Ear Hawkweed Using Drones, Multispectral Imagery and Supervised Machine Learning.

Amarasingam Narmilan, Mark Hamilton, Jane E. Kelly, Lihong Zheng, Juan Sandino, Felipe Gonzalez, Remy L. Dehaan, Hillary Cherry

Remote. Sens., March, 2023

MultiEarth 2023 - Multimodal Learning for Earth and Environment Workshop and Challenge.

Miriam Cha, Gregory Angelides, Mark Hamilton, Andy Soszynski, Brandon Swenson, Nathaniel Maidel, Phillip Isola, Taylor Perron, Bill Freeman

CoRR, 2023

Exploring Gender and Race Biases in the NFT Market.

Howard Zhong, Mark Hamilton

CoRR, 2023

Large-Scale Automatic Audiobook Creation.

Brendan Walsh, Mark Hamilton, Greg Newby, Xi Wang, Serena Ruan, Sheng Zhao, Lei He, Shaofei Zhang, Eric Dettinger, William T. Freeman, Markus Weimer

Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Exploring perceptual straightness in learned visual representations.

Anne Harrington, Vasha DuTell, Ayush Tewari, Mark Hamilton, Simon Stent, Ruth Rosenholtz, William T. Freeman

Proceedings of the Eleventh International Conference on Learning Representations, 2023

StatTexNet: Evaluating the Importance of Statistical Parameters for Pyramid-Based Texture and Peripheral Vision Models.

Christian Koevesdi, Vasha DuTell, Anne Harrington, Mark Hamilton, William T. Freeman, Ruth Rosenholtz

Proceedings of the Gaze Meets Machine Learning Workshop, 2023

2022

Developing a Series of AI Challenges for the United States Department of the Air Force.

Vijay Gadepally, Gregory Angelides, Andrei Barbu, Andrew Bowne, Laura J. Brattain, Tamara Broderick, Armando Cabrera, Glenn Carl, Ronisha Carter, Miriam Cha, Emilie Cowen, Jesse Cummings, Bill Freeman, James R. Glass, Sam Goldberg, Mark Hamilton, Thomas Heldt, Kuan Wei Huang, Phillip Isola, Boris Katz, Jamie Koerner, Yen-Chen Lin, David Mayo, Kyle McAlpin, Taylor Perron, Jean E. Piou, Hrishikesh M. Rao, Hayley Reynolds, Kaira Samuel, Siddharth Samsi, Morgan Schmidt, Leslie Shing, Olga Simek, Brandon Swenson, Vivienne Sze, Jonathan Taylor, Paul Tylkin, Mark Veillette, Matthew L. Weiss, Allan B. Wollaber, Sophia Yuditskaya, Jeremy Kepner

CoRR, 2022

MultiEarth 2022 - Multimodal Learning for Earth and Environment Workshop and Challenge.

Miriam Cha, Kuan Wei Huang, Morgan Schmidt, Gregory Angelides, Mark Hamilton, Sam Goldberg, Armando Cabrera, Phillip Isola, Taylor Perron, Bill Freeman, Yen-Chen Lin, Brandon Swenson, Jean E. Piou

CoRR, 2022

Remote Tiny Weeds Detection.

Lihong Zheng, D. M. Motiur Rahaman, Mark Hamilton, Remy L. Dehaan, Felipe Gonzalez, Jane E. Kelly, Hillary Cherry

Proceedings of the Image and Video Technology - 10th Pacific-Rim Symposium, 2022

Unsupervised Semantic Segmentation by Distilling Feature Correspondences.

Mark Hamilton, Zhoutong Zhang, Bharath Hariharan, Noah Snavely, William T. Freeman

Proceedings of the Tenth International Conference on Learning Representations, 2022

Axiomatic Explanations for Visual Search, Retrieval, and Similarity Learning.

Mark Hamilton, Scott M. Lundberg, Stephanie Fu, Lei Zhang, William T. Freeman

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Model-Agnostic Explainability for Visual Search.

Mark Hamilton, Scott M. Lundberg, Lei Zhang, Stephanie Fu, William T. Freeman

CoRR, 2021

2020

Conditional Image Retrieval.

Mark Hamilton, Stephanie Fu, William T. Freeman, Mindren Lu

CoRR, 2020

It Is Likely That Your Loss Should be a Likelihood.

Mark Hamilton, Evan Shelhamer, William T. Freeman

CoRR, 2020

MosAIc: Finding Artistic Connections across Culture with Conditional Image Retrieval.

Mark Hamilton, Stephanie Fu, Mindren Lu, Johnny Bui, Darius Bopp, Zhenbang Chen, Felix Tran, Margaret Wang, Marina Rogers, Lei Zhang, Chris Hoder, William T. Freeman

Proceedings of the NeurIPS 2020 Competition and Demonstration Track, 2020

Large-Scale Intelligent Microservices.

Mark Hamilton, Nick Gonsalves, Christina Lee, Anand Raman, Brendan Walsh, Siddhartha Prasad, Dalitso Banda, Lucy Zhang, Lei Zhang, William T. Freeman

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2018

Semi-Supervised Translation with MMD Networks.

Mark Hamilton

CoRR, 2018

MMLSpark: Unifying Machine Learning Ecosystems at Massive Scales.

Mark Hamilton, Sudarshan Raghunathan, Ilya Matiach, Andrew Schonhoffer, Anand Raman, Eli Barzilay, Minsoo Thigpen, Karthik Rajendran, Janhavi Suresh Mahajan, Courtney Cochrane, Abhiram Eswaran, Ari Green

CoRR, 2018

SPOT Poachers in Action: Augmenting Conservation Drones With Automatic Detection in Near Real Time.

Elizabeth Bondi, Fei Fang, Mark Hamilton, Debarun Kar, Donnabell Dmello, Jongmoo Choi, Robert Hannaford, Arvind Iyer, Lucas Joppa, Milind Tambe, Ram Nevatia

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Flexible and Scalable Deep Learning with MMLSpark.

Mark Hamilton, Sudarshan Raghunathan, Akshaya Annavajhala, Danil Kirsanov, Eduardo de Leon, Eli Barzilay, Ilya Matiach, Joe Davison, Maureen Busch, Miruna Oprescu, Ratan Sur, Roope Astala, Tong Wen, ChangYoung Park

Proceedings of the 4th International Conference on Predictive Applications and APIs, 2017

Preliminary assessment of the uses of sensors and the spectral properties of weed and native species: In Kosciusko National Park, NSW, Australia.

Chad Ajamian, Hsing-Chung Chang, Kerrie Tomkins, Hillary Cherry, Mark Hamilton

Proceedings of the Eleventh International Conference on Sensing Technology, 2017

2016

Implementation of a secure TLS coprocessor on an FPGA.

Mark Hamilton, William P. Marnane

Microprocess. Microsystems, 2016

2012

Co-Z ECC scalar multiplications for hardware, software and hardware-software co-design on embedded systems.

Brian Baldwin, Raveen R. Goundar, Mark Hamilton, William P. Marnane

J. Cryptogr. Eng., 2012

2011

A Comparison on FPGA of Modular Multipliers Suitable for Elliptic Curve Cryptography over GF(p) for Specific p Values.

Mark Hamilton, William P. Marnane, Arnaud Tisserand

Proceedings of the International Conference on Field Programmable Logic and Applications, 2011

2010

A Hardware Wrapper for the SHA-3 Hash Algorithms.

Brian Baldwin, Andrew Byrne, Liang Lu, Mark Hamilton, Neil Hanley, Máire O'Neill, William P. Marnane

IACR Cryptol. ePrint Arch., 2010

FPGA Implementations of the Round Two SHA-3 Candidates.

Brian Baldwin, Andrew Byrne, Liang Lu, Mark Hamilton, Neil Hanley, Máire O'Neill, William P. Marnane

Proceedings of the International Conference on Field Programmable Logic and Applications, 2010

2009

FPGA Implementations of SHA-3 Candidates: CubeHash, Grøstl, Lane, Shabal and Spectral Hash.

Brian Baldwin, Andrew Byrne, Mark Hamilton, Neil Hanley, Robert P. McEvoy, Weibo Pan, William P. Marnane

IACR Cryptol. ePrint Arch., 2009

FPGA Implementation of an Elliptic Curve Processor Using the GLV Method.

Mark Hamilton, William P. Marnane

Proceedings of the ReConFig'09: 2009 International Conference on Reconfigurable Computing and FPGAs, 2009

1998

FAIME: An Object-Oriented Methodology for Application Plug-and-Play.

Bill Chu, Junsheng Long, Michael Matthews, J. G. Barnes, J. Sims, Mark Hamilton, Russ Lambert

J. Object Oriented Program., 1998