Mark Hamilton - RankMe

45 papers A* 8A 2B 2C 2Journal 25Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Beyond I-Con: Exploring New Dimension of Distance Measures in Representation Learning. CoRR Jasmine Shone, Shaden Alshammari, Mark Hamilton, Zhening Li, William T. Freeman
2025	A*	`conf`	I-Con: A Unifying Framework for Representation Learning. ICLR Shaden Naif Alshammari, John R. Hershey, Axel Feldmann, William T. Freeman, Mark Hamilton
2025	J	`jnl`	I-Con: A Unifying Framework for Representation Learning. CoRR Shaden Naif Alshammari, John R. Hershey, Axel Feldmann, William T. Freeman, Mark Hamilton
2025	J	`jnl`	Upsample Anything: A Simple and Hard to Beat Baseline for Feature Upsampling. CoRR Minseok Seo, Mark Hamilton, Changick Kim
2024	A*	`conf`	COCO-Periph: Bridging the Gap Between Human and Machine Perception in the Periphery. ICLR Anne Harrington, Vasha DuTell, Mark Hamilton, Ayush Tewari, Simon Stent, William T. Freeman, Ruth Rosenholtz
2024	A*	`conf`	FeatUp: A Model-Agnostic Framework for Features at Any Resolution. ICLR Stephanie Fu, Mark Hamilton, Laura E. Brandt, Axel Feldmann, Zhoutong Zhang, William T. Freeman
2024	J	`jnl`	FeatUp: A Model-Agnostic Framework for Features at Any Resolution. CoRR Stephanie Fu, Mark Hamilton, Laura E. Brandt, Axel Feldmann, Zhoutong Zhang, William T. Freeman
2024	—	`conf`	Seeing Faces in Things: A Model and Dataset for Pareidolia. ECCV (65) Mark Hamilton, Simon Stent, Vasha DuTell, Anne Harrington, Jennifer Corbett, Ruth Rosenholtz, William T. Freeman
2024	J	`jnl`	Seeing Faces in Things: A Model and Dataset for Pareidolia. CoRR Mark Hamilton, Simon Stent, Vasha DuTell, Anne Harrington, Jennifer Corbett, Ruth Rosenholtz, William T. Freeman
2024	A*	`conf`	Separating the "Chirp" from the "Chat": Self-supervised Visual Grounding of Sound and Language. CVPR Mark Hamilton, Andrew Zisserman, John R. Hershey, William T. Freeman
2024	J	`jnl`	Separating the "Chirp" from the "Chat": Self-supervised Visual Grounding of Sound and Language. CoRR Mark Hamilton, Andrew Zisserman, John R. Hershey, William T. Freeman
2023	J	`jnl`	Autonomous Detection of Mouse-Ear Hawkweed Using Drones, Multispectral Imagery and Supervised Machine Learning. Remote. Sens. Amarasingam Narmilan, Mark Hamilton, Jane E. Kelly, Lihong Zheng, Juan Sandino, Felipe Gonzalez, Remy L. Dehaan, Hillary Cherry
2023	J	`jnl`	Exploring Gender and Race Biases in the NFT Market. CoRR Howard Zhong, Mark Hamilton
2023	A*	`conf`	Exploring perceptual straightness in learned visual representations. ICLR Anne Harrington, Vasha DuTell, Ayush Tewari, Mark Hamilton, Simon Stent, Ruth Rosenholtz, William T. Freeman
2023	A	`conf`	Large-Scale Automatic Audiobook Creation. INTERSPEECH Brendan Walsh, Mark Hamilton, Greg Newby, Xi Wang, Serena Ruan, Sheng Zhao, Lei He, Shaofei Zhang, Eric Dettinger, William T. Freeman, Markus Weimer
2023	J	`jnl`	Large-Scale Automatic Audiobook Creation. CoRR Brendan Walsh, Mark Hamilton, Greg Newby, Xi Wang, Serena Ruan, Sheng Zhao, Lei He, Shaofei Zhang, Eric Dettinger, William T. Freeman, Markus Weimer
2023	J	`jnl`	MultiEarth 2023 - Multimodal Learning for Earth and Environment Workshop and Challenge. CoRR Miriam Cha, Gregory Angelides, Mark Hamilton, Andy Soszynski, Brandon Swenson, Nathaniel Maidel, Phillip Isola, Taylor Perron, Bill Freeman
2023	—	`conf`	StatTexNet: Evaluating the Importance of Statistical Parameters for Pyramid-Based Texture and Peripheral Vision Models. Gaze Meets ML Christian Koevesdi, Vasha DuTell, Anne Harrington, Mark Hamilton, William T. Freeman, Ruth Rosenholtz
2022	A*	`conf`	Axiomatic Explanations for Visual Search, Retrieval, and Similarity Learning. ICLR Mark Hamilton, Scott M. Lundberg, Stephanie Fu, Lei Zhang, William T. Freeman
2022	J	`jnl`	Developing a Series of AI Challenges for the United States Department of the Air Force. CoRR 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
2022	J	`jnl`	MultiEarth 2022 - Multimodal Learning for Earth and Environment Workshop and Challenge. CoRR 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
2022	C	`conf`	Remote Tiny Weeds Detection. PSIVT Lihong Zheng, D. M. Motiur Rahaman, Mark Hamilton, Remy L. Dehaan, Felipe Gonzalez, Jane E. Kelly, Hillary Cherry
2022	A*	`conf`	Unsupervised Semantic Segmentation by Distilling Feature Correspondences. ICLR Mark Hamilton, Zhoutong Zhang, Bharath Hariharan, Noah Snavely, William T. Freeman
2022	J	`jnl`	Unsupervised Semantic Segmentation by Distilling Feature Correspondences. CoRR Mark Hamilton, Zhoutong Zhang, Bharath Hariharan, Noah Snavely, William T. Freeman
2021	J	`jnl`	Model-Agnostic Explainability for Visual Search. CoRR Mark Hamilton, Scott M. Lundberg, Lei Zhang, Stephanie Fu, William T. Freeman
2020	J	`jnl`	Conditional Image Retrieval. CoRR Mark Hamilton, Stephanie Fu, William T. Freeman, Mindren Lu
2020	J	`jnl`	It Is Likely That Your Loss Should be a Likelihood. CoRR Mark Hamilton, Evan Shelhamer, William T. Freeman
2020	—	`conf`	Large-Scale Intelligent Microservices. IEEE BigData Mark Hamilton, Nick Gonsalves, Christina Lee, Anand Raman, Brendan Walsh, Siddhartha Prasad, Dalitso Banda, Lucy Zhang, Lei Zhang, William T. Freeman
2020	J	`jnl`	Large-Scale Intelligent Microservices. CoRR Mark Hamilton, Nick Gonsalves, Christina Lee, Anand Raman, Brendan Walsh, Siddhartha Prasad, Dalitso Banda, Lucy Zhang, Lei Zhang, William T. Freeman
2020	—	`conf`	MosAIc: Finding Artistic Connections across Culture with Conditional Image Retrieval. NeurIPS (Competition and Demos) 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
2018	J	`jnl`	Flexible and Scalable Deep Learning with MMLSpark. CoRR 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
2018	J	`jnl`	MMLSpark: Unifying Machine Learning Ecosystems at Massive Scales. CoRR 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
2018	A*	`conf`	SPOT Poachers in Action: Augmenting Conservation Drones With Automatic Detection in Near Real Time. AAAI Elizabeth Bondi, Fei Fang, Mark Hamilton, Debarun Kar, Donnabell Dmello, Jongmoo Choi, Robert Hannaford, Arvind Iyer, Lucas Joppa, Milind Tambe, Ram Nevatia
2018	J	`jnl`	Semi-Supervised Translation with MMD Networks. CoRR Mark Hamilton
2017	—	`conf`	Flexible and Scalable Deep Learning with MMLSpark. PAPIs 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
2017	A	`conf`	Preliminary assessment of the uses of sensors and the spectral properties of weed and native species: In Kosciusko National Park, NSW, Australia. ICST Chad Ajamian, Hsing-Chung Chang, Kerrie Tomkins, Hillary Cherry, Mark Hamilton
2016	J	`jnl`	Implementation of a secure TLS coprocessor on an FPGA. Microprocess. Microsystems Mark Hamilton, William P. Marnane
2012	J	`jnl`	Co-Z ECC scalar multiplications for hardware, software and hardware-software co-design on embedded systems. J. Cryptogr. Eng. Brian Baldwin, Raveen R. Goundar, Mark Hamilton, William P. Marnane
2011	B	`conf`	A Comparison on FPGA of Modular Multipliers Suitable for Elliptic Curve Cryptography over GF(p) for Specific p Values. FPL Mark Hamilton, William P. Marnane, Arnaud Tisserand
2010	J	`jnl`	A Hardware Wrapper for the SHA-3 Hash Algorithms. IACR Cryptol. ePrint Arch. Brian Baldwin, Andrew Byrne, Liang Lu, Mark Hamilton, Neil Hanley, Máire O'Neill, William P. Marnane
2010	B	`conf`	FPGA Implementations of the Round Two SHA-3 Candidates. FPL Brian Baldwin, Andrew Byrne, Liang Lu, Mark Hamilton, Neil Hanley, Máire O'Neill, William P. Marnane
2009	—	`conf`	FPGA Implementation of an Elliptic Curve Processor Using the GLV Method. ReConFig Mark Hamilton, William P. Marnane
2009	C	`conf`	FPGA Implementations of SHA-3 Candidates: CubeHash, Grostl, LANE, Shabal and Spectral Hash. DSD Brian Baldwin, Andrew Byrne, Mark Hamilton, Neil Hanley, Robert P. McEvoy, Weibo Pan, William P. Marnane
2009	J	`jnl`	FPGA Implementations of SHA-3 Candidates: CubeHash, Grøstl, Lane, Shabal and Spectral Hash. IACR Cryptol. ePrint Arch. Brian Baldwin, Andrew Byrne, Mark Hamilton, Neil Hanley, Robert P. McEvoy, Weibo Pan, William P. Marnane
1998	J	`jnl`	FAIME: An Object-Oriented Methodology for Application Plug-and-Play. J. Object Oriented Program. Bill Chu, Junsheng Long, Michael Matthews, J. G. Barnes, J. Sims, Mark Hamilton, Russ Lambert