Kimberly Wilber

18 papers A* 2A 3Journal 10Unranked 3
YearRankTypeTitle / Venue / Authors
2025 A conf
SANPO: A Scene Understanding, Accessibility and Human Navigation Dataset.
WACV
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
2024 A conf
PolyMaX: General Dense Prediction with Mask Transformer.
WACV
Xuan Yang, Liangzhe Yuan, Kimberly Wilber, Astuti Sharma, Xiuye Gu, Siyuan Qiao, Stephanie Debats, Huisheng Wang, Hartwig Adam, Mikhail Sirotenko, Liang-Chieh Chen
2023 J jnl
PolyMaX: General Dense Prediction with Mask Transformer.
CoRR
Xuan Yang, Liangzhe Yuan, Kimberly Wilber, Astuti Sharma, Xiuye Gu, Siyuan Qiao, Stephanie Debats, Huisheng Wang, Hartwig Adam, Mikhail Sirotenko, Liang-Chieh Chen
2023 J jnl
SANPO: A Scene Understanding, Accessibility, Navigation, Pathfinding, Obstacle Avoidance Dataset.
CoRR
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
2022 — conf
Exploring Fine-Grained Audiovisual Categorization with the SSW60 Dataset.
ECCV (8)
Grant Van Horn, Rui Qian, Kimberly Wilber, Hartwig Adam, Oisin Mac Aodha, Serge J. Belongie
2022 J jnl
Exploring Fine-Grained Audiovisual Categorization with the SSW60 Dataset.
CoRR
Grant Van Horn, Rui Qian, Kimberly Wilber, Hartwig Adam, Oisin Mac Aodha, Serge J. Belongie
2022 — conf
On Label Granularity and Object Localization.
ECCV (10)
Elijah Cole, Kimberly Wilber, Grant Van Horn, Xuan Yang, Marco Fornoni, Pietro Perona, Serge J. Belongie, Andrew G. Howard, Oisin Mac Aodha
2022 J jnl
On Label Granularity and Object Localization.
CoRR
Elijah Cole, Kimberly Wilber, Grant Van Horn, Xuan Yang, Marco Fornoni, Pietro Perona, Serge J. Belongie, Andrew G. Howard, Oisin Mac Aodha
2022 A* conf
When Does Contrastive Visual Representation Learning Work?
CVPR
Elijah Cole, Xuan Yang, Kimberly Wilber, Oisin Mac Aodha, Serge J. Belongie
2021 A* conf
Benchmarking Representation Learning for Natural World Image Collections.
CVPR
Grant Van Horn, Elijah Cole, Sara Beery, Kimberly Wilber, Serge J. Belongie, Oisin Mac Aodha
2021 J jnl
Benchmarking Representation Learning for Natural World Image Collections.
CoRR
Grant Van Horn, Elijah Cole, Sara Beery, Kimberly Wilber, Serge J. Belongie, Oisin Mac Aodha
2021 J jnl
Bridging the Gap Between Object Detection and User Intent via Query-Modulation.
CoRR
Marco Fornoni, Chaochao Yan, Liangchen Luo, Kimberly Wilber, Alex Stark, Yin Cui, Boqing Gong, Andrew G. Howard
2021 J jnl
On the Reproducibility of Neural Network Predictions.
CoRR
Srinadh Bhojanapalli, Kimberly Wilber, Andreas Veit, Ankit Singh Rawat, Seungyeon Kim, Aditya Krishna Menon, Sanjiv Kumar
2021 J jnl
When Does Contrastive Visual Representation Learning Work?
CoRR
Elijah Cole, Xuan Yang, Kimberly Wilber, Oisin Mac Aodha, Serge J. Belongie
2020 — conf
A Survey on Blockchain for Healthcare Informatics and Applications.
IoTSMS
Kimberly Wilber, Sarah Vayansky, Nicholas Costello, David Berdik, Yaser Jararweh
2020 J jnl
Improving Calibration in Deep Metric Learning With Cross-Example Softmax.
CoRR
Andreas Veit, Kimberly Wilber
2019 A conf
Understanding Image Quality and Trust in Peer-to-Peer Marketplaces.
WACV
Xiao Ma, Lina Mezghani, Kimberly Wilber, Hui Hong, Robinson Piramuthu, Mor Naaman, Serge J. Belongie
2018 J jnl
Understanding Image Quality and Trust in Peer-to-Peer Marketplaces.
CoRR
Xiao Ma, Lina Mezghani, Kimberly Wilber, Hui Hong, Robinson Piramuthu, Mor Naaman, Serge J. Belongie