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Kimberly Wilber
Person information
- affiliation: Google
- affiliation: Cornell Tech, New York City, NY, USA
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2020 – today
- 2024
- [c22]Xuan Yang, Liangzhe Yuan, Kimberly Wilber, Astuti Sharma, Xiuye Gu, Siyuan Qiao, Stephanie Debats, Huisheng Wang, Hartwig Adam, Mikhail Sirotenko, Liang-Chieh Chen:
PolyMaX: General Dense Prediction with Mask Transformer. WACV 2024: 1039-1050 - 2023
- [i19]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:
SANPO: A Scene Understanding, Accessibility, Navigation, Pathfinding, Obstacle Avoidance Dataset. CoRR abs/2309.12172 (2023) - [i18]Xuan Yang, Liangzhe Yuan, Kimberly Wilber, Astuti Sharma, Xiuye Gu, Siyuan Qiao, Stephanie Debats, Huisheng Wang, Hartwig Adam, Mikhail Sirotenko, Liang-Chieh Chen:
PolyMaX: General Dense Prediction with Mask Transformer. CoRR abs/2311.05770 (2023) - 2022
- [c21]Elijah Cole, Xuan Yang, Kimberly Wilber, Oisin Mac Aodha, Serge J. Belongie:
When Does Contrastive Visual Representation Learning Work? CVPR 2022: 1-10 - [c20]Grant Van Horn, Rui Qian, Kimberly Wilber, Hartwig Adam, Oisin Mac Aodha, Serge J. Belongie
:
Exploring Fine-Grained Audiovisual Categorization with the SSW60 Dataset. ECCV (8) 2022: 271-289 - [c19]Elijah Cole, Kimberly Wilber, Grant Van Horn, Xuan Yang, Marco Fornoni
On Label Granularity and Object Localization. ECCV (10) 2022: 604-620 - [i17]Elijah Cole, Kimberly Wilber
On Label Granularity and Object Localization. CoRR abs/2207.10225 (2022) - [i16]Grant Van Horn, Rui Qian, Kimberly Wilber
Exploring Fine-Grained Audiovisual Categorization with the SSW60 Dataset. CoRR abs/2207.10664 (2022) - 2021
- [c18]Grant Van Horn, Elijah Cole, Sara Beery
Benchmarking Representation Learning for Natural World Image Collections. CVPR 2021: 12884-12893 - [i15]Srinadh Bhojanapalli, Kimberly Wilber, Andreas Veit, Ankit Singh Rawat, Seungyeon Kim, Aditya Krishna Menon, Sanjiv Kumar:
On the Reproducibility of Neural Network Predictions. CoRR abs/2102.03349 (2021) - [i14]Grant Van Horn, Elijah Cole, Sara Beery, Kimberly Wilber, Serge J. Belongie, Oisin Mac Aodha:
Benchmarking Representation Learning for Natural World Image Collections. CoRR abs/2103.16483 (2021) - [i13]Elijah Cole, Xuan Yang, Kimberly Wilber, Oisin Mac Aodha, Serge J. Belongie:
When Does Contrastive Visual Representation Learning Work? CoRR abs/2105.05837 (2021) - [i12]Marco Fornoni, Chaochao Yan, Liangchen Luo, Kimberly Wilber, Alex Stark, Yin Cui, Boqing Gong, Andrew G. Howard:
Bridging the Gap Between Object Detection and User Intent via Query-Modulation. CoRR abs/2106.10258 (2021) - 2020
- [j2]Zheng Xu, Michael J. Wilber, Chen Fang, Aaron Hertzmann, Hailin Jin:
Adversarial training for fast arbitrary style transfer. Comput. Graph. 87: 1-11 (2020) - [c17]Kimberly Wilber, Sarah Vayansky, Nicholas Costello, David Berdik, Yaser Jararweh:
A Survey on Blockchain for Healthcare Informatics and Applications. IoTSMS 2020: 1-9 - [i11]Andreas Veit, Kimberly Wilber:
Improving Calibration in Deep Metric Learning With Cross-Example Softmax. CoRR abs/2011.08824 (2020)
2010 – 2019
- 2019
- [c16]Zheng Xu, Michael J. Wilber, Chen Fang, Aaron Hertzmann, Hailin Jin:
Learning from Multi-domain Artistic Images for Arbitrary Style Transfer. Expressive 2019: 21-31 - [c15]Xiao Ma, Lina Mezghani, Kimberly Wilber, Hui Hong, Robinson Piramuthu, Mor Naaman
Understanding Image Quality and Trust in Peer-to-Peer Marketplaces. WACV 2019: 511-520 - 2018
- [i10]Zheng Xu, Michael J. Wilber, Chen Fang, Aaron Hertzmann, Hailin Jin:
Beyond Textures: Learning from Multi-domain Artistic Images for Arbitrary Style Transfer. CoRR abs/1805.09987 (2018) - [i9]Xiao Ma, Lina Mezghani, Kimberly Wilber, Hui Hong, Robinson Piramuthu, Mor Naaman, Serge J. Belongie:
Understanding Image Quality and Trust in Peer-to-Peer Marketplaces. CoRR abs/1811.10648 (2018) - 2017
- [c14]Michael J. Wilber, Chen Fang, Hailin Jin, Aaron Hertzmann
BAM! The Behance Artistic Media Dataset for Recognition Beyond Photography. ICCV 2017: 1211-1220 - [c13]John P. Collomosse, Tu Bui, Michael J. Wilber
Sketching with Style: Visual Search with Sketches and Aesthetic Context. ICCV 2017: 2679-2687 - [c12]Rajan Vaish, Snehalkumar (Neil) S. Gaikwad, Geza Kovacs, Andreas Veit, Ranjay Krishna, Imanol Arrieta Ibarra, Camelia Simoiu, Michael J. Wilber
Crowd Research: Open and Scalable University Laboratories. UIST 2017: 829-843 - [i8]Michael J. Wilber, Chen Fang, Hailin Jin, Aaron Hertzmann, John P. Collomosse, Serge J. Belongie:
BAM! The Behance Artistic Media Dataset for Recognition Beyond Photography. CoRR abs/1704.08614 (2017) - 2016
- [c11]Andreas Veit, Michael J. Wilber, Serge J. Belongie:
Residual Networks Behave Like Ensembles of Relatively Shallow Networks. NIPS 2016: 550-558 - [c10]Michael J. Wilber, Vitaly Shmatikov, Serge J. Belongie
Can we still avoid automatic face detection? WACV 2016: 1-9 - [i7]Michael J. Wilber, Vitaly Shmatikov, Serge J. Belongie:
Can we still avoid automatic face detection? CoRR abs/1602.04504 (2016) - [i6]Andreas Veit, Michael J. Wilber, Serge J. Belongie:
Residual Networks are Exponential Ensembles of Relatively Shallow Networks. CoRR abs/1605.06431 (2016) - 2015
- [c9]Jack Hessel, Nicolas Savva, Michael J. Wilber:
Image Representations and New Domains in Neural Image Captioning. VL@EMNLP 2015: 29-39 - [c8]Michael J. Wilber, Iljung S. Kwak, David J. Kriegman, Serge J. Belongie
Learning Concept Embeddings with Combined Human-Machine Expertise. ICCV 2015: 981-989 - [i5]Jack Hessel, Nicolas Savva, Michael J. Wilber:
Image Representations and New Domains in Neural Image Captioning. CoRR abs/1508.02091 (2015) - [i4]Michael J. Wilber, Iljung S. Kwak, David J. Kriegman, Serge J. Belongie:
Learning Concept Embeddings with Combined Human-Machine Expertise. CoRR abs/1509.07479 (2015) - [i3]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
On Optimizing Human-Machine Task Assignments. CoRR abs/1509.07543 (2015) - 2014
- [j1]Walter J. Scheirer, Michael J. Wilber
Good recognition is non-metric. Pattern Recognit. 47(8): 2721-2731 (2014) - [c7]Michael J. Wilber, Iljung S. Kwak, Serge J. Belongie:
Cost-Effective HITs for Relative Similarity Comparisons. HCOMP 2014: 227-233 - [c6]Michael J. Wilber
Exemplar codes for facial attributes and tattoo recognition. WACV 2014: 205-212 - [i2]Michael J. Wilber, Iljung S. Kwak, Serge J. Belongie
Cost-Effective HITs for Relative Similarity Comparisons. CoRR abs/1404.3291 (2014) - 2013
- [c5]Lalit P. Jain, Michael J. Wilber
Issues in Rotational (Non-)invariance and Image Preprocessing. CVPR Workshops 2013: 76-83 - [c4]Michael J. Wilber
Animal recognition in the Mojave Desert: Vision tools for field biologists. WACV 2013: 206-213 - [i1]Walter J. Scheirer, Michael J. Wilber, Michael Eckmann, Terrance E. Boult:
Good Recognition is Non-Metric. CoRR abs/1302.4673 (2013) - 2012
- [c3]Michael J. Wilber
PRIVV: Private remote iris-authentication with Vaulted Verification. CVPR Workshops 2012: 97-104 - [c2]Michael J. Wilber
Secure remote matching with privacy: Scrambled support vector vaulted verification (S2V3). WACV 2012: 169-176 - 2011
- [c1]Jonathan Parris, Michael J. Wilber
Face and eye detection on hard datasets. IJCB 2011: 1-10
Coauthor Index
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