Face and eye detection on hard datasets. - Jonathan Parris; Michael J. Wilber; Brian Heflin; Ham M. Rara; Ahmed El-Barkouky; Aly A. Farag; Javier R. Movellan; anonymous; Modesto Castrillón Santana; Javier Lorenzo-Navarro; Mohammad Nayeem Teli; Sébastien Marcel; et al. (IJCB, 2011)

PRIVV: Private remote iris-authentication with Vaulted Verification. - Michael J. Wilber; Walter J. Scheirer; Terrance E. Boult (CVPR Workshops, 2012)

Secure remote matching with privacy: Scrambled support vector vaulted verification (S2V3). - Michael J. Wilber; Terrance E. Boult (WACV, 2012)

Issues in Rotational (Non-)invariance and Image Preprocessing. - Lalit P. Jain; Michael J. Wilber; Terrance E. Boult (CVPR Workshops, 2013)

Animal recognition in the Mojave Desert: Vision tools for field biologists. - Michael J. Wilber; Walter J. Scheirer; Phil Leitner; Brian Heflin; James Zott; Daniel Reinke; David K. Delaney; Terrance E. Boult (WACV, 2013)

Cost-Effective HITs for Relative Similarity Comparisons. - Michael J. Wilber; Iljung S. Kwak; Serge J. Belongie (HCOMP, 2014)

Exemplar codes for facial attributes and tattoo recognition. - Michael J. Wilber; Ethan M. Rudd; Brian Heflin; Yui-Man Lui; Terrance E. Boult (WACV, 2014)

Good recognition is non-metric. - Walter J. Scheirer; Michael J. Wilber; Michael Eckmann; Terrance E. Boult (Pattern Recognit., 2014)

Image Representations and New Domains in Neural Image Captioning. - Jack Hessel; Nicolas Savva; Michael J. Wilber (VL@EMNLP, 2015)

Learning Concept Embeddings with Combined Human-Machine Expertise. - Michael J. Wilber; Iljung S. Kwak; David J. Kriegman; Serge J. Belongie (ICCV, 2015)

On Optimizing Human-Machine Task Assignments. - Andreas Veit; Michael J. Wilber; Rajan Vaish; Serge J. Belongie; James Davis 001; Vishal Anand 002; Anshu Aviral; Prithvijit Chakrabarty; Yash Chandak; Sidharth Chaturvedi; Chinmaya Devaraj; Ankit Dhall; et al. (CoRR, 2015)

Residual Networks Behave Like Ensembles of Relatively Shallow Networks. - Andreas Veit; Michael J. Wilber; Serge J. Belongie (NIPS, 2016)

Can we still avoid automatic face detection? - Michael J. Wilber; Vitaly Shmatikov; Serge J. Belongie (WACV, 2016)

Residual Networks are Exponential Ensembles of Relatively Shallow Networks. - Andreas Veit; Michael J. Wilber; Serge J. Belongie (CoRR, 2016)

Sketching with Style: Visual Search with Sketches and Aesthetic Context. - John P. Collomosse; Tu Bui; Michael J. Wilber; Chen Fang; Hailin Jin (ICCV, 2017)

BAM! The Behance Artistic Media Dataset for Recognition Beyond Photography. - Michael J. Wilber; Chen Fang; Hailin Jin; Aaron Hertzmann; John P. Collomosse; Serge J. Belongie (ICCV, 2017)

Crowd Research: Open and Scalable University Laboratories. - Rajan Vaish; Snehalkumar (Neil) S. Gaikwad; Geza Kovacs; Andreas Veit; Ranjay Krishna; Imanol Arrieta Ibarra; Camelia Simoiu; Michael J. Wilber; Serge J. Belongie; Sharad Goel; James Davis 001; Michael S. Bernstein (UIST, 2017)

Beyond Textures: Learning from Multi-domain Artistic Images for Arbitrary Style Transfer. - Zheng Xu 002; Michael J. Wilber; Chen Fang; Aaron Hertzmann; Hailin Jin (CoRR, 2018)

Learning from Multi-domain Artistic Images for Arbitrary Style Transfer. - Zheng Xu 002; Michael J. Wilber; Chen Fang; Aaron Hertzmann; Hailin Jin (Expressive, 2019)

Understanding Image Quality and Trust in Peer-to-Peer Marketplaces. - Xiao Ma 010; Lina Mezghani; Kimberly Wilber; Hui Hong; Robinson Piramuthu; Mor Naaman; Serge J. Belongie (WACV, 2019)

A Survey on Blockchain for Healthcare Informatics and Applications. - Kimberly Wilber; Sarah Vayansky; Nicholas Costello; David Berdik; Yaser Jararweh (IoTSMS, 2020)

Adversarial training for fast arbitrary style transfer. - Zheng Xu 002; Michael J. Wilber; Chen Fang; Aaron Hertzmann; Hailin Jin (Comput. Graph., 2020)

Improving Calibration in Deep Metric Learning With Cross-Example Softmax. - Andreas Veit; Kimberly Wilber (CoRR, 2020)

Benchmarking Representation Learning for Natural World Image Collections. - Grant Van Horn; Elijah Cole; Sara Beery; Kimberly Wilber; Serge J. Belongie; Oisin Mac Aodha (CVPR, 2021)

On the Reproducibility of Neural Network Predictions. - Srinadh Bhojanapalli; Kimberly Wilber; Andreas Veit; Ankit Singh Rawat; Seungyeon Kim 001; Aditya Krishna Menon; Sanjiv Kumar (CoRR, 2021)

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 G. Howard (CoRR, 2021)

When Does Contrastive Visual Representation Learning Work? - Elijah Cole; Xuan Yang; Kimberly Wilber; Oisin Mac Aodha; Serge J. Belongie (CVPR, 2022)

On Label Granularity and Object Localization. - Elijah Cole; Kimberly Wilber; Grant Van Horn; Xuan Yang; Marco Fornoni; Pietro Perona; Serge J. Belongie; Andrew G. Howard; Oisin Mac Aodha (ECCV (10), 2022)

Exploring Fine-Grained Audiovisual Categorization with the SSW60 Dataset. - Grant Van Horn; Rui Qian; Kimberly Wilber; Hartwig Adam; Oisin Mac Aodha; Serge J. Belongie (ECCV (8), 2022)

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 (CoRR, 2023)

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 (WACV, 2024)

SANPO: A Scene Understanding, Accessibility and Human Navigation 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 (WACV, 2025)