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ORCIDJennifer A. Hobbs
Person information
- affiliation: IntelinAir, Chicago, IL, USA
- affiliation (former): Stats Perform, Chicago, IL, USA
- affiliation (former): Northwestern University, Department of Physics and Astronomy, Evanston, IL, USA
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Journal Articles
- 2023
[j4]Jing Wu, David Pichler, Daniel Marley, Naira Hovakimyan, David Wilson, Jennifer A. Hobbs:
Extended Agriculture-Vision: An Extension of a Large Aerial Image Dataset for Agricultural Pattern Analysis. Trans. Mach. Learn. Res. 2023 (2023)- 2021
- [j3]Jennifer A. Hobbs, Vachik Khachatryan, Barathwaj S. Anandan, Harutyun Hovhannisyan, David Wilson
:
Broad Dataset and Methods for Counting and Localization of On-Ear Corn Kernels. Frontiers Robotics AI 8: 627009 (2021) - 2018
- [j2]Long Sha, Patrick Lucey, Yisong Yue, Xinyu Wei, Jennifer A. Hobbs, Charlie Rohlf, Sridha Sridharan:
Interactive Sports Analytics: An Intelligent Interface for Utilizing Trajectories for Interactive Sports Play Retrieval and Analytics. ACM Trans. Comput. Hum. Interact. 25(2): 13:1-13:32 (2018) - 2016
- [j1]Jennifer A. Hobbs, Regan Blythe Towal, Mitra J. Z. Hartmann:
Evidence for Functional Groupings of Vibrissae across the Rodent Mystacial Pad. PLoS Comput. Biol. 12(1) (2016)
Conference and Workshop Papers
- 2023
- [c8]Jing Wu, Naira Hovakimyan, Jennifer A. Hobbs:
GenCo: An Auxiliary Generator from Contrastive Learning for Enhanced Few-Shot Learning in Remote Sensing. ECAI 2023: 2663-2671 - [c7]Jing Wu, Jennifer A. Hobbs, Naira Hovakimyan:
Hallucination Improves the Performance of Unsupervised Visual Representation Learning. ICCV 2023: 16086-16097 - 2022
- [c6]Liana Baghdasaryan, Razmik Melikbekyan, Arthur Dolmajain, Jennifer A. Hobbs:
Deep density estimation based on multi-spectral remote sensing data for in-field crop yield forecasting. CVPR Workshops 2022: 2013-2022 - 2021
- [c5]Saba Dadsetan, Gisele Rose, Naira Hovakimyan, Jennifer A. Hobbs:
Detection and Prediction of Nutrient Deficiency Stress using Longitudinal Aerial Imagery. AAAI 2021: 14729-14738 - [c4]Saba Dadsetan, David Pichler, David Wilson, Naira Hovakimyan, Jennifer A. Hobbs:
Superpixels and Graph Convolutional Neural Networks for Efficient Detection of Nutrient Deficiency Stress From Aerial Imagery. CVPR Workshops 2021: 2950-2959 - 2020
- [c3]Mang Tik Chiu, Xingqian Xu, Kai Wang, Jennifer A. Hobbs, Naira Hovakimyan, Thomas S. Huang, Honghui Shi, Yunchao Wei, Zilong Huang, Alexander G. Schwing, Robert Brunner, Ivan Dozier, Wyatt Dozier, Karen Ghandilyan, David Wilson, Hyunseong Park, Jun Hee Kim, Sungho Kim, Qinghui Liu, Michael C. Kampffmeyer, Robert Jenssen, Arnt-Børre Salberg, Alexandre Barbosa, Rodrigo G. Trevisan, Bingchen Zhao, Shaozuo Yu, Siwei Yang, Yin Wang, Hao Sheng, Xiao Chen, Jingyi Su, Ram Rajagopal, Andrew Y. Ng, Van Thong Huynh, Soo-Hyung Kim, In Seop Na, Ujjwal Baid, Shubham Innani, Prasad Dutande, Bhakti Baheti, Sanjay N. Talbar, Jianyu Tang:
The 1st Agriculture-Vision Challenge: Methods and Results. CVPR Workshops 2020: 212-218 - [c2]Long Sha, Jennifer A. Hobbs, Panna Felsen, Xinyu Wei, Patrick Lucey, Sujoy Ganguly:
End-to-End Camera Calibration for Broadcast Videos. CVPR 2020: 13624-13633 - 2016
- [c1]Stephan Zheng, Yisong Yue, Jennifer A. Hobbs:
Generating Long-term Trajectories Using Deep Hierarchical Networks. NIPS 2016: 1543-1551
Informal and Other Publications
- 2023
- [i9]Jing Wu, David Pichler, Daniel Marley, David Wilson, Naira Hovakimyan, Jennifer A. Hobbs:
Extended Agriculture-Vision: An Extension of a Large Aerial Image Dataset for Agricultural Pattern Analysis. CoRR abs/2303.02460 (2023) - [i8]Jing Wu, Jennifer A. Hobbs, Naira Hovakimyan:
Hallucination Improves the Performance of Unsupervised Visual Representation Learning. CoRR abs/2307.12168 (2023) - [i7]Jing Wu, Naira Hovakimyan, Jennifer A. Hobbs:
GenCo: An Auxiliary Generator from Contrastive Learning for Enhanced Few-Shot Learning in Remote Sensing. CoRR abs/2307.14612 (2023) - 2021
- [i6]Jennifer A. Hobbs, Ivan Dozier, Naira Hovakimyan:
Residue Density Segmentation for Monitoring and Optimizing Tillage Practices. CoRR abs/2102.04866 (2021) - [i5]Saba Dadsetan, David Pichler, David Wilson, Naira Hovakimyan, Jennifer A. Hobbs:
Superpixels and Graph Convolutional Neural Networks for Efficient Detection of Nutrient Deficiency Stress from Aerial Imagery. CoRR abs/2104.10249 (2021) - 2020
- [i4]Mang Tik Chiu, Xingqian Xu, Kai Wang, Jennifer A. Hobbs, Naira Hovakimyan, Thomas S. Huang, Honghui Shi, Yunchao Wei, Zilong Huang, Alexander G. Schwing, Robert Brunner, Ivan Dozier, Wyatt Dozier, Karen Ghandilyan, David Wilson, Hyunseong Park, Jun Hee Kim, Sungho Kim, Qinghui Liu, Michael C. Kampffmeyer, Robert Jenssen, Arnt-Børre Salberg, Alexandre Barbosa, Rodrigo G. Trevisan, Bingchen Zhao, Shaozuo Yu, Siwei Yang, Yin Wang, Hao Sheng, Xiao Chen, Jingyi Su, Ram Rajagopal, Andrew Y. Ng, Van Thong Huynh, Soo-Hyung Kim, In Seop Na, Ujjwal Baid, Shubham Innani, Prasad Dutande, Bhakti Baheti, Sanjay N. Talbar, Jianyu Tang:
The 1st Agriculture-Vision Challenge: Methods and Results. CoRR abs/2004.09754 (2020) - [i3]Saba Dadsetan, Gisele Rose, Naira Hovakimyan, Jennifer A. Hobbs:
Detection and Prediction of Nutrient Deficiency Stress using Longitudinal Aerial Imagery. CoRR abs/2012.09654 (2020) - 2019
- [i2]Matthew Holbrook, Jennifer A. Hobbs, Patrick Lucey:
Rugby-Bot: Utilizing Multi-Task Learning & Fine-Grained Features for Rugby League Analysis. CoRR abs/1910.07410 (2019) - [i1]Jennifer A. Hobbs, Matthew Holbrook, Nathan Frank, Long Sha, Patrick Lucey:
Improved Structural Discovery and Representation Learning of Multi-Agent Data. CoRR abs/1912.13107 (2019)
Coauthor Index
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