Jennifer A. Hobbs

21 papers A* 3A 1Journal 13Unranked 4
YearRankTypeTitle / Venue / Authors
2023 J jnl
Extended Agriculture-Vision: An Extension of a Large Aerial Image Dataset for Agricultural Pattern Analysis.
CoRR
Jing Wu, David Pichler, Daniel Marley, David Wilson, Naira Hovakimyan, Jennifer A. Hobbs
2023 J jnl
Extended Agriculture-Vision: An Extension of a Large Aerial Image Dataset for Agricultural Pattern Analysis.
Trans. Mach. Learn. Res.
Jing Wu, David Pichler, Daniel Marley, Naira Hovakimyan, David Wilson, Jennifer A. Hobbs
2023 A conf
GenCo: An Auxiliary Generator from Contrastive Learning for Enhanced Few-Shot Learning in Remote Sensing.
ECAI
Jing Wu, Naira Hovakimyan, Jennifer A. Hobbs
2023 J jnl
GenCo: An Auxiliary Generator from Contrastive Learning for Enhanced Few-Shot Learning in Remote Sensing.
CoRR
Jing Wu, Naira Hovakimyan, Jennifer A. Hobbs
2023 A* conf
Hallucination Improves the Performance of Unsupervised Visual Representation Learning.
ICCV
Jing Wu, Jennifer A. Hobbs, Naira Hovakimyan
2023 J jnl
Hallucination Improves the Performance of Unsupervised Visual Representation Learning.
CoRR
Jing Wu, Jennifer A. Hobbs, Naira Hovakimyan
2022 — conf
Deep density estimation based on multi-spectral remote sensing data for in-field crop yield forecasting.
CVPR Workshops
Liana Baghdasaryan, Razmik Melikbekyan, Arthur Dolmajain, Jennifer A. Hobbs
2021 J jnl
Broad Dataset and Methods for Counting and Localization of On-Ear Corn Kernels.
Frontiers Robotics AI
Jennifer A. Hobbs, Vachik Khachatryan, Barathwaj S. Anandan, Harutyun Hovhannisyan, David Wilson
2021 A* conf
Detection and Prediction of Nutrient Deficiency Stress using Longitudinal Aerial Imagery.
AAAI
Saba Dadsetan, Gisele Rose, Naira Hovakimyan, Jennifer A. Hobbs
2021 J jnl
Residue Density Segmentation for Monitoring and Optimizing Tillage Practices.
CoRR
Jennifer A. Hobbs, Ivan Dozier, Naira Hovakimyan
2021 — conf
Superpixels and Graph Convolutional Neural Networks for Efficient Detection of Nutrient Deficiency Stress From Aerial Imagery.
CVPR Workshops
Saba Dadsetan, David Pichler, David Wilson, Naira Hovakimyan, Jennifer A. Hobbs
2021 J jnl
Superpixels and Graph Convolutional Neural Networks for Efficient Detection of Nutrient Deficiency Stress from Aerial Imagery.
CoRR
Saba Dadsetan, David Pichler, David Wilson, Naira Hovakimyan, Jennifer A. Hobbs
2020 J jnl
Detection and Prediction of Nutrient Deficiency Stress using Longitudinal Aerial Imagery.
CoRR
Saba Dadsetan, Gisele Rose, Naira Hovakimyan, Jennifer A. Hobbs
2020 A* conf
End-to-End Camera Calibration for Broadcast Videos.
CVPR
Long Sha, Jennifer A. Hobbs, Panna Felsen, Xinyu Wei, Patrick Lucey, Sujoy Ganguly
2020 — conf
The 1st Agriculture-Vision Challenge: Methods and Results.
CVPR Workshops
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
2020 J jnl
The 1st Agriculture-Vision Challenge: Methods and Results.
CoRR
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
2019 J jnl
Improved Structural Discovery and Representation Learning of Multi-Agent Data.
CoRR
Jennifer A. Hobbs, Matthew Holbrook, Nathan Frank, Long Sha, Patrick Lucey
2019 J jnl
Rugby-Bot: Utilizing Multi-Task Learning & Fine-Grained Features for Rugby League Analysis.
CoRR
Matthew Holbrook, Jennifer A. Hobbs, Patrick Lucey
2018 J jnl
Interactive Sports Analytics: An Intelligent Interface for Utilizing Trajectories for Interactive Sports Play Retrieval and Analytics.
ACM Trans. Comput. Hum. Interact.
Long Sha, Patrick Lucey, Yisong Yue, Xinyu Wei, Jennifer A. Hobbs, Charlie Rohlf, Sridha Sridharan
2016 J jnl
Evidence for Functional Groupings of Vibrissae across the Rodent Mystacial Pad.
PLoS Comput. Biol.
Jennifer A. Hobbs, Regan Blythe Towal, Mitra J. Z. Hartmann
2016 — conf
Generating Long-term Trajectories Using Deep Hierarchical Networks.
NIPS
Stephan Zheng, Yisong Yue, Jennifer A. Hobbs