Hamilton, Mark

11 publications

ICLR 2025 I-Con: A Unifying Framework for Representation Learning Shaden Naif Alshammari, John R. Hershey, Axel Feldmann, William T. Freeman, Mark Hamilton
ICLR 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
ICLR 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
CVPR 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
NeurIPSW 2023 Evaluating Peripheral Vision as an Input Transformation to Understand Object Detection Model Behavior Anne Harrington, Vasha DuTell, Mark Hamilton, Ayush Tewari, Simon Stent, William T. Freeman, Ruth Rosenholtz
ICLR 2023 Exploring Perceptual Straightness in Learned Visual Representations Anne Harrington, Vasha DuTell, Ayush Tewari, Mark Hamilton, Simon Stent, Ruth Rosenholtz, William T. Freeman
NeurIPSW 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
ICLR 2022 Axiomatic Explanations for Visual Search, Retrieval, and Similarity Learning Mark Hamilton, Scott Lundberg, Stephanie Fu, Lei Zhang, William T. Freeman
NeurIPSW 2022 Exploring the Perceptual Straightness of Adversarially Robust and Biologically-Inspired Visual Representations Anne Harrington, Vasha DuTell, Ayush Tewari, Mark Hamilton, Simon Stent, Ruth Rosenholtz, William T. Freeman
ICLR 2022 Unsupervised Semantic Segmentation by Distilling Feature Correspondences Mark Hamilton, Zhoutong Zhang, Bharath Hariharan, Noah Snavely, William T. Freeman
AAAI 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