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 my previous name.

2024

• [PDF] [arXiv] PolyMaX: General Dense Prediction with Mask Transformer
  Xuan Yang; Liangzhe Yuan; Kimberly Wilber; Astuti Sharma; Xiuye Gu; Siyuan Qiao; Stephanie Debats; Huisheng Wang; Hartwig Adam; Mikhail Sirotenko; Liang-Chieh Chen
  Winter Conference on Applications of Computer Vision (WACV 2024)

2023

• [PDF] [arXiv] SANPO: A Scene Understanding, Accessibility, Navigation, Pathfinding, Obstacle Avoidance Dataset
  Sagar M. Waghmare; Kimberly Wilber; Dave Hawkey; Xuan Yang; Matthew Wilson; Stephanie Debats; Cattalyya Nuengsigkapian; Astuti Sharma; Lars Pandikow; Huisheng Wang; Hartwig Adam; Mikhail Sirotenko
  ArXiv

2022

• [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)

2021

• [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

2020

• [PDF] [arXiv] Improving Calibration in Deep Metric Learning With Cross-Example Softmax
  Andreas Veit; Kimberly Wilber
  ArXiv

2019

• [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)

2018

• [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

2017

• [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)

2016

• [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)

2015

• [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)

2014

• [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

2013

• [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)

2012

• [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)

2011

• [PDF] Face and Eye Detection on Hard Datasets
  Jon Parris; M. Wilber; Brian Heflin; et. al.
  International Joint Conference on Biometrics (IJCB 2011)