Mark Hamilton

Publication Activity (10 Years)

Years Active: 1998-2024
Publications (10 Years): 30

Top Topics

Visual Representation

Top Venues

Publications

Stephanie Fu, Mark Hamilton, Laura E. Brandt, Axel Feldmann, Zhoutong Zhang, William T. Freeman
FeatUp: A Model-Agnostic Framework for Features at Any Resolution. ICLR (2024)
Anne Harrington, Vasha DuTell, Mark Hamilton, Ayush Tewari, Simon Stent, William T. Freeman, Ruth Rosenholtz
COCO-Periph: Bridging the Gap Between Human and Machine Perception in the Periphery. ICLR (2024)
Stephanie Fu, Mark Hamilton, Laura E. Brandt, Axel Feldman, Zhoutong Zhang, William T. Freeman
FeatUp: A Model-Agnostic Framework for Features at Any Resolution. CoRR (2024)
Mark Hamilton, Andrew Zisserman, John R. Hershey, William T. Freeman
Separating the "Chirp" from the "Chat": Self-supervised Visual Grounding of Sound and Language. CoRR (2024)
Brendan Walsh, Mark Hamilton, Greg Newby, Xi Wang, Serena Ruan, Sheng Zhao, Lei He, Shaofei Zhang, Eric Dettinger, William T. Freeman, Markus Weimer
Large-Scale Automatic Audiobook Creation. CoRR (2023)
Christian Koevesdi, Vasha DuTell, Anne Harrington, Mark Hamilton, William T. Freeman, Ruth Rosenholtz
StatTexNet: Evaluating the Importance of Statistical Parameters for Pyramid-Based Texture and Peripheral Vision Models. Gaze Meets ML (2023)
Brendan Walsh, Mark Hamilton, Greg Newby, Xi Wang, Serena Ruan, Sheng Zhao, Lei He, Shaofei Zhang, Eric Dettinger, William T. Freeman, Markus Weimer
Large-Scale Automatic Audiobook Creation. INTERSPEECH (2023)
Howard Zhong, Mark Hamilton
Exploring Gender and Race Biases in the NFT Market. CoRR (2023)
Anne Harrington, Vasha DuTell, Ayush Tewari, Mark Hamilton, Simon Stent, Ruth Rosenholtz, William T. Freeman
Exploring perceptual straightness in learned visual representations. ICLR (2023)
Amarasingam Narmilan, Mark Hamilton, Jane E. Kelly, Lihong Zheng, Juan Sandino, Felipe Gonzalez, Remy L. Dehaan, Hillary Cherry
Autonomous Detection of Mouse-Ear Hawkweed Using Drones, Multispectral Imagery and Supervised Machine Learning. Remote. Sens. 15 (6) (2023)
Miriam Cha, Gregory Angelides, Mark Hamilton, Andy Soszynski, Brandon Swenson, Nathaniel Maidel, Phillip Isola, Taylor Perron, Bill Freeman
MultiEarth 2023 - Multimodal Learning for Earth and Environment Workshop and Challenge. CoRR (2023)
Mark Hamilton, Zhoutong Zhang, Bharath Hariharan, Noah Snavely, William T. Freeman
Unsupervised Semantic Segmentation by Distilling Feature Correspondences. ICLR (2022)
Mark Hamilton, Scott M. Lundberg, Stephanie Fu, Lei Zhang, William T. Freeman
Axiomatic Explanations for Visual Search, Retrieval, and Similarity Learning. ICLR (2022)
Lihong Zheng, D. M. Motiur Rahaman, Mark Hamilton, Remy L. Dehaan, Felipe Gonzalez, Jane E. Kelly, Hillary Cherry
Remote Tiny Weeds Detection. PSIVT (2022)
Mark Hamilton, Zhoutong Zhang, Bharath Hariharan, Noah Snavely, William T. Freeman
Unsupervised Semantic Segmentation by Distilling Feature Correspondences. CoRR (2022)
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
MultiEarth 2022 - Multimodal Learning for Earth and Environment Workshop and Challenge. CoRR (2022)
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
Developing a Series of AI Challenges for the United States Department of the Air Force. CoRR (2022)
Mark Hamilton, Scott M. Lundberg, Lei Zhang, Stephanie Fu, William T. Freeman
Model-Agnostic Explainability for Visual Search. CoRR (2021)
Mark Hamilton, Nick Gonsalves, Christina Lee, Anand Raman, Brendan Walsh, Siddhartha Prasad, Dalitso Banda, Lucy Zhang, Lei Zhang, William T. Freeman
Large-Scale Intelligent Microservices. CoRR (2020)
Mark Hamilton, Nick Gonsalves, Christina Lee, Anand Raman, Brendan Walsh, Siddhartha Prasad, Dalitso Banda, Lucy Zhang, Lei Zhang, William T. Freeman
Large-Scale Intelligent Microservices. IEEE BigData (2020)
Mark Hamilton, Stephanie Fu, William T. Freeman, Mindren Lu
Conditional Image Retrieval. CoRR (2020)
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
MosAIc: Finding Artistic Connections across Culture with Conditional Image Retrieval. NeurIPS (Competition and Demos) (2020)
Mark Hamilton, Evan Shelhamer, William T. Freeman
It Is Likely That Your Loss Should be a Likelihood. CoRR (2020)
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
Flexible and Scalable Deep Learning with MMLSpark. CoRR (2018)
Mark Hamilton
Semi-Supervised Translation with MMD Networks. CoRR (2018)
Elizabeth Bondi, Fei Fang, Mark Hamilton, Debarun Kar, Donnabell Dmello, Jongmoo Choi, Robert Hannaford, Arvind Iyer, Lucas Joppa, Milind Tambe, Ram Nevatia
SPOT Poachers in Action: Augmenting Conservation Drones With Automatic Detection in Near Real Time. AAAI (2018)
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
MMLSpark: Unifying Machine Learning Ecosystems at Massive Scales. CoRR (2018)
Chad Ajamian, Hsing-Chung Chang, Kerrie Tomkins, Hillary Cherry, Mark Hamilton
Preliminary assessment of the uses of sensors and the spectral properties of weed and native species: In Kosciusko National Park, NSW, Australia. ICST (2017)
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
Flexible and Scalable Deep Learning with MMLSpark. PAPIs (2017)
Mark Hamilton, William P. Marnane
Implementation of a secure TLS coprocessor on an FPGA. Microprocess. Microsystems 40 (2016)
Brian Baldwin, Raveen R. Goundar, Mark Hamilton, William P. Marnane
Co-Z ECC scalar multiplications for hardware, software and hardware-software co-design on embedded systems. J. Cryptogr. Eng. 2 (4) (2012)
Mark Hamilton, William P. Marnane, Arnaud Tisserand
A Comparison on FPGA of Modular Multipliers Suitable for Elliptic Curve Cryptography over GF(p) for Specific p Values. FPL (2011)
Brian Baldwin, Andrew Byrne, Liang Lu, Mark Hamilton, Neil Hanley, Máire O'Neill, William P. Marnane
FPGA Implementations of the Round Two SHA-3 Candidates. FPL (2010)
Brian Baldwin, Andrew Byrne, Liang Lu, Mark Hamilton, Neil Hanley, Máire O'Neill, William P. Marnane
A Hardware Wrapper for the SHA-3 Hash Algorithms. IACR Cryptol. ePrint Arch. 2010 (2010)
Brian Baldwin, Andrew Byrne, Mark Hamilton, Neil Hanley, Robert P. McEvoy, Weibo Pan, William P. Marnane
FPGA Implementations of SHA-3 Candidates: CubeHash, Grøstl, Lane, Shabal and Spectral Hash. IACR Cryptol. ePrint Arch. 2009 (2009)
Brian Baldwin, Andrew Byrne, Mark Hamilton, Neil Hanley, Robert P. McEvoy, Weibo Pan, William P. Marnane
FPGA Implementations of SHA-3 Candidates: CubeHash, Grostl, LANE, Shabal and Spectral Hash. DSD (2009)
Mark Hamilton, William P. Marnane
FPGA Implementation of an Elliptic Curve Processor Using the GLV Method. ReConFig (2009)
Bill Chu, Junsheng Long, Michael Matthews, J. G. Barnes, J. Sims, Mark Hamilton, Russ Lambert
FAIME: An Object-Oriented Methodology for Application Plug-and-Play. J. Object Oriented Program. 11 (5) (1998)