Publications
Throughout my career, I've been fortunate to work with several awesome research labs, including Google AI, Adobe Research, the Dropbox photo science team, Securics, the UCCS Vision and Security Technologies Lab, Cornell Tech, and UCSD.
All conference & journal papers
A full list of publications is also available on Google Scholar.
Note: Some work before 2018 is published under a previous name.
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[PDF] [arXiv] On Label Granularity and Object Localization
Elijah Cole; Kimberly Wilber; Grant Van Horn; Xuan S. Yang; Marco Fornoni; Pietro Perona; Serge Belongie; Andrew G. Howard; Oisin Mac Aodha
European Conference on Computer Vision (ECCV 2022) -
[PDF] [arXiv] Exploring Fine-Grained Audiovisual Categorization with the SSW60 Dataset
Grant Van Horn; Rui Qian; Kimberly Wilber; Hartwig Adam; Oisin Mac Aodha; Serge Belongie
European Conference on Computer Vision (ECCV 2022) -
[PDF] [arXiv] When Does Contrastive Visual Representation Learning Work?
Elijah Cole; Xuan Yang; Kimberly Wilber; Oisin Mac Aodha; Serge Belongie
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2022) -
[PDF] [arXiv] Benchmarking Representation Learning for Natural World Image Collections
Grant Van Horn; Elijah Cole; Sara Beery; Kimberly Wilber; Serge Belongie; Oisin Mac Aodha
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2021) -
[PDF] [arXiv] On the Reproducibility of Neural Network Predictions
Srinadh Bhojanapalli; Kimberly Wilber; Andreas Veit; Ankit Rawat; Seungyeon Kim; Aditya Menon; Sanjiv Kumar
ArXiv -
[PDF] [arXiv] Bridging the Gap Between Object Detection and User Intent via Query-Modulation
Marco Fornoni; Chaochao Yan; Liangchen Luo; Kimberly Wilber; Alex Stark; Yin Cui; Boqing Gong; Andrew Howard
ArXiv -
[PDF] [arXiv] Improving Calibration in Deep Metric Learning With Cross-Example Softmax
Andreas Veit; Kimberly Wilber
ArXiv -
[PDF] [arXiv] Understanding Image Quality and Trust in Peer-to-Peer Marketplaces
Xiao Ma; Lina Mezghani; Kimberly Wilber; Hui Hong; Robinson Piramuthu; Mor Naaman; Serge Belongie
Winter Conference on Applications of Computer Vision (WACV 2019) -
[PDF] Learning perceptual similarity from crowds and machines
M. Wilber
PhD Thesis, Cornell University, Ithaca, NY. Advised by Serge Belongie. -
[PDF] [arXiv] Learning from Multi-domain Artistic Images for Arbitrary Style Transfer
Zheng Xu; M. Wilber; Chen Fang; Aaron Hertzmann; Hailin Jin
ACM/Eurographics Expressive Symposium -
[PDF] [arXiv] BAM! The Behance Artistic Media Dataset for Recognition Beyond Photography
M. Wilber; Chen Fang; Hailin Jin; Aaron Hertzmann; John Collomosse; Serge Belongie
International Conference on Computer Vision (ICCV 2017) -
[PDF] Sketching with Style: Visual Search with Sketches and Aesthetic Context
John Collomosse; Tu Bui; M. Wilber; Chen Fang; Hailin Jin
International Conference on Computer Vision (ICCV 2017) -
[PDF] Crowd Research: Open and Scalable University Laboratories
Rajan Vaish; Snehalkumar (Neil) S. Gaikwad; Geza Kovacs; Andreas Veit; Ranjay Krishna; Imanol Arrieta Ibarra; Camelia Simoiu; M. Wilber; Serge Belongie; Sharad Goel; James Davis; Michael S. Bernstein
User Interface Software and Technology Symposium (UIST 2017) -
[PDF] [arXiv] Residual Networks Behave Like Ensembles of Relatively Shallow Networks
Andreas Veit; M. Wilber; Serge Belongie
Neural information processing systems (NIPS 2016) -
[link]Training and investigating Residual Nets
Sam Gross; M. Wilber
Tech report (Torch blog) -
[PDF] [arXiv] Can we still avoid automatic face detection?
M. Wilber; Vitaly Shmatikov; Serge Belongie
Winter Conference on Applications of Computer Vision (WACV 2016) -
[PDF] [arXiv] Learning Concept Embeddings with Combined Human-Machine Expertise
M. Wilber; Iljung Sam Kwak; Serge Belongie
International Conference on Computer Vision (ICCV 2015) -
[PDF] [arXiv] On Optimizing Human-Machine Task Assignments
Andreas Veit; M. Wilber; Rajan Vaish; Serge Belongie; James Davis; et. al.
AAAI Conference on Human Computation and Crowdsourcing Work-in-Progress session (HCOMP 2015 WIP) -
[PDF] [arXiv] Image Representations and New Domains in Neural Image Captioning
Jack Hessel; Nicolas Savva; M. Wilber
Workshop on Vision and Language Integration (VL 2015) -
[PDF] [arXiv] Cost-Effective HITs for Relative Similarity Comparisons
M. Wilber; Iljung Sam Kwak; Serge Belongie
AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2014) -
Exemplar Codes: An Accurate and Efficient Mid-Level Representation for Big Vision Problems
Ethan Rudd; M. Wilber; Terry Boult
Computer Vision and Pattern Recognition BigVision workshop (CVPR 2014) -
[PDF] Exemplar Codes for Facial Attributes and Tattoo Recognition
M. Wilber; Ethan Rudd; Brian Heflin; Yui-Man Lui; Terry Boult
Winter Conference on Applications of Computer Vision (WACV 2014) -
[PDF] [arXiv] Good Recognition is Non-Metric
Walter J. Scheirer; M. Wilber; Michael Eckmann; Terry Boult
E. Pattern Recognition 47 (8), 2014 -
[PDF] Animal Recognition in the Mojave Desert: Vision Tools for Field Biologists
M. Wilber; Walter J. Scheirer; Phil Leitner; et. al.
Workshop on Applications of Computer Vision (WACV 2013) -
[PDF] Issues in Rotational (Non-) Invariance and Image Preprocessing
Lalit Jain; M. Wilber; Terry Boult
Conference on Computer Vision and Pattern Recognition Biometrics Workshop (CVPRW 2013) -
[PDF] PRIVV: Private Remote Iris Authentication with Vaulted Verification
M. Wilber; Walter J. Scheirer; Terry Boult
Conference on Computer Vision and Pattern Recognition Biometrics Workshop (CVPR 2012) -
[PDF] Secure Remote Matching with Privacy: Scrambled Support Vector Vaulted Verification (S2V3)
M. Wilber; Terry Boult
Workshop on Applications of Computer Vision (WACV 2012) -
[PDF] Face and Eye Detection on Hard Datasets
Jon Parris; M. Wilber; Brian Heflin; et. al.
International Joint Conference on Biometrics (IJCB 2011)