Kimberly Wilber

According to our database, Kimberly Wilber authored at least 31 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

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

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

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

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

Proceedings of the Computer Vision - ECCV 2022, 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

Proceedings of the Computer Vision - ECCV 2022, 2022

When Does Contrastive Visual Representation Learning Work?

Elijah Cole, Xuan Yang, Kimberly Wilber, Oisin Mac Aodha, Serge J. Belongie

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

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

On the Reproducibility of Neural Network Predictions.

Srinadh Bhojanapalli, Kimberly Wilber, Andreas Veit, Ankit Singh Rawat, Seungyeon Kim, Aditya Krishna Menon, Sanjiv Kumar

CoRR, 2021

Benchmarking Representation Learning for Natural World Image Collections.

Grant Van Horn, Elijah Cole, Sara Beery, Kimberly Wilber, Serge J. Belongie, Oisin Mac Aodha

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Improving Calibration in Deep Metric Learning With Cross-Example Softmax.

Andreas Veit, Kimberly Wilber

CoRR, 2020

Adversarial training for fast arbitrary style transfer.

Zheng Xu, Michael J. Wilber, Chen Fang, Aaron Hertzmann, Hailin Jin

Comput. Graph., 2020

A Survey on Blockchain for Healthcare Informatics and Applications.

Kimberly Wilber, Sarah Vayansky, Nicholas Costello, David Berdik, Yaser Jararweh

Proceedings of the 7th International Conference on Internet of Things: Systems, 2020

2019

Understanding Image Quality and Trust in Peer-to-Peer Marketplaces.

Xiao Ma, Lina Mezghani, Kimberly Wilber, Hui Hong, Robinson Piramuthu, Mor Naaman, Serge J. Belongie

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Learning from Multi-domain Artistic Images for Arbitrary Style Transfer.

Zheng Xu, Michael J. Wilber, Chen Fang, Aaron Hertzmann, Hailin Jin

Proceedings of the 8th ACM/Eurographics Expressive Symposium, 2019

2018

Beyond Textures: Learning from Multi-domain Artistic Images for Arbitrary Style Transfer.

Zheng Xu, Michael J. Wilber, Chen Fang, Aaron Hertzmann, Hailin Jin

CoRR, 2018

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, Michael S. Bernstein

Proceedings of the 30th Annual ACM Symposium on User Interface Software and Technology, 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

Proceedings of the IEEE International Conference on Computer Vision, 2017

Sketching with Style: Visual Search with Sketches and Aesthetic Context.

John P. Collomosse, Tu Bui, Michael J. Wilber, Chen Fang, Hailin Jin

Proceedings of the IEEE International Conference on Computer Vision, 2017

2016

Residual Networks are Exponential Ensembles of Relatively Shallow Networks.

Andreas Veit, Michael J. Wilber, Serge J. Belongie

CoRR, 2016

Can we still avoid automatic face detection?

Michael J. Wilber, Vitaly Shmatikov, Serge J. Belongie

Proceedings of the 2016 IEEE Winter Conference on Applications of Computer Vision, 2016

Residual Networks Behave Like Ensembles of Relatively Shallow Networks.

Andreas Veit, Michael J. Wilber, Serge J. Belongie

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2015

On Optimizing Human-Machine Task Assignments.

Andreas Veit, Michael J. Wilber, Rajan Vaish, Serge J. Belongie, James Davis, Vishal Anand, Anshu Aviral, Prithvijit Chakrabarty, Yash Chandak, Sidharth Chaturvedi, Chinmaya Devaraj, Ankit Dhall, Utkarsh Dwivedi, Sanket Gupte, Sharath N. Sridhar, Karthik Paga, Anuj Pahuja, Aditya Raisinghani, Ayush Sharma, Shweta Sharma, Darpana Sinha, Nisarg Thakkar, K. Bala Vignesh, Utkarsh Verma, Kanniganti Abhishek, Amod Agrawal, Arya Aishwarya, Aurgho Bhattacharjee, Sarveshwaran Dhanasekar, Venkata Karthik Gullapalli, Shuchita Gupta, Chandana G, Kinjal Jain, Simran Kapur, Meghana Kasula, Shashi Kumar, Parth Kundaliya, Utkarsh Mathur, Alankrit Mishra, Aayush Mudgal, Aditya Nadimpalli, Munakala Sree Nihit, Akanksha Periwal, Ayush Sagar, Ayush Shah, Vikas Sharma, Yashovardhan Sharma, Faizal Siddiqui, Virender Singh, Abhinav S., Pradyumna Tambwekar, Rashida Taskin, Ankit Tripathi, Anurag D. Yadav

CoRR, 2015

Learning Concept Embeddings with Combined Human-Machine Expertise.

Michael J. Wilber, Iljung S. Kwak, David J. Kriegman, Serge J. Belongie

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Image Representations and New Domains in Neural Image Captioning.

Jack Hessel, Nicolas Savva, Michael J. Wilber

Proceedings of the Fourth Workshop on Vision and Language, 2015

2014

Good recognition is non-metric.

Walter J. Scheirer, Michael J. Wilber, Michael Eckmann, Terrance E. Boult

Pattern Recognit., 2014

Exemplar codes for facial attributes and tattoo recognition.

Michael J. Wilber, Ethan M. Rudd, Brian Heflin, Yui-Man Lui, Terrance E. Boult

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2014

Cost-Effective HITs for Relative Similarity Comparisons.

Michael J. Wilber, Iljung S. Kwak, Serge J. Belongie

Proceedings of the Seconf AAAI Conference on Human Computation and Crowdsourcing, 2014

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

Proceedings of the 2013 IEEE Workshop on Applications of Computer Vision, 2013

Issues in Rotational (Non-)invariance and Image Preprocessing.

Lalit P. Jain, Michael J. Wilber, Terrance E. Boult

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012

Secure remote matching with privacy: Scrambled support vector vaulted verification (S²V³).

Michael J. Wilber, Terrance E. Boult

Proceedings of the IEEE Workshop on Applications of Computer Vision, 2012

PRIVV: Private remote iris-authentication with Vaulted Verification.

Michael J. Wilber, Walter J. Scheirer, Terrance E. Boult

Proceedings of the 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2012

2011

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, Cosmin Atanasoaei, Terrance E. Boult

Proceedings of the 2011 IEEE International Joint Conference on Biometrics, 2011