Kimberly Wilber

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 17

Top Topics

Obstacle Avoidance

Metric Learning

Image Collections

Object Detection

Top Venues

Publications

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)
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 (2023)
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 (2023)
Elijah Cole, Xuan Yang, Kimberly Wilber, Oisin Mac Aodha, Serge J. Belongie
When Does Contrastive Visual Representation Learning Work? CVPR (2022)
Grant Van Horn, Rui Qian, Kimberly Wilber, Hartwig Adam, Oisin Mac Aodha, Serge J. Belongie
Exploring Fine-Grained Audiovisual Categorization with the SSW60 Dataset. CoRR (2022)
Elijah Cole, Kimberly Wilber, Grant Van Horn, Xuan Yang, Marco Fornoni, Pietro Perona, Serge J. Belongie, Andrew G. Howard, Oisin Mac Aodha
On Label Granularity and Object Localization. CoRR (2022)
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)
Elijah Cole, Kimberly Wilber, Grant Van Horn, Xuan Yang, Marco Fornoni, Pietro Perona, Serge J. Belongie, Andrew G. Howard, Oisin Mac Aodha
On Label Granularity and Object Localization. ECCV (10) (2022)
Grant Van Horn, Elijah Cole, Sara Beery, Kimberly Wilber, Serge J. Belongie, Oisin Mac Aodha
Benchmarking Representation Learning for Natural World Image Collections. CVPR (2021)
Srinadh Bhojanapalli, Kimberly Wilber, Andreas Veit, Ankit Singh Rawat, Seungyeon Kim, Aditya Krishna Menon, Sanjiv Kumar
On the Reproducibility of Neural Network Predictions. CoRR (2021)
Elijah Cole, Xuan Yang, Kimberly Wilber, Oisin Mac Aodha, Serge J. Belongie
When Does Contrastive Visual Representation Learning Work? CoRR (2021)
Grant Van Horn, Elijah Cole, Sara Beery, Kimberly Wilber, Serge J. Belongie, Oisin Mac Aodha
Benchmarking Representation Learning for Natural World Image Collections. CoRR (2021)
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 (2021)
Andreas Veit, Kimberly Wilber
Improving Calibration in Deep Metric Learning With Cross-Example Softmax. CoRR (2020)
Kimberly Wilber, Sarah Vayansky, Nicholas Costello, David Berdik, Yaser Jararweh
A Survey on Blockchain for Healthcare Informatics and Applications. IoTSMS (2020)
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. WACV (2019)
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 (2018)