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Leslie M. Collins
- > Home > Persons > Leslie M. Collins
Publications
- 2024
- [c66]Simiao Ren, Francesco Luzi, Saad Lahrichi, Kaleb Kassaw, Leslie M. Collins, Kyle Bradbury, Jordan M. Malof:
Segment anything, from space? WACV 2024: 8340-8350 - 2023
- [c64]Francesco Luzi, Aneesh Gupta, Leslie M. Collins, Kyle Bradbury, Jordan M. Malof:
Transformers For Recognition In Overhead Imagery: A Reality Check. WACV 2023: 3767-3776 - [i20]Simiao Ren, Francesco Luzi, Saad Lahrichi, Kaleb Kassaw, Leslie M. Collins, Kyle Bradbury, Jordan M. Malof:
Segment anything, from space? CoRR abs/2304.13000 (2023) - 2022
- [j48]Bohao Huang, Jichen Yang, Artem Streltsov, Kyle Bradbury, Leslie M. Collins, Jordan M. Malof:
GridTracer: Automatic Mapping of Power Grids Using Deep Learning and Overhead Imagery. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 4956-4970 (2022) - [i18]Francesco Luzi, Aneesh Gupta, Leslie M. Collins, Kyle Bradbury, Jordan M. Malof:
Transformers For Recognition In Overhead Imagery: A Reality Check. CoRR abs/2210.12599 (2022) - 2021
- [i15]Bohao Huang, Jichen Yang, Artem Streltsov, Kyle Bradbury, Leslie M. Collins, Jordan M. Malof:
GridTracer: Automatic Mapping of Power Grids using Deep Learning and Overhead Imagery. CoRR abs/2101.06390 (2021) - 2020
- [c56]Bohao Huang, Kyle Bradbury, Leslie M. Collins, Jordan M. Malof:
Do Deep Learning Models Generalize to Overhead Imagery from Novel Geographic Domains? The xGD Benchmark Problem. IGARSS 2020: 1476-1479 - [c55]Wei Hu, Ben Alexander, Wendell Cathcart, Atsushi Hu, Varun Nair, Lin Zuo, Jordan M. Malof, Leslie M. Collins, Kyle Bradbury:
Mapping Electric Transmission Line Infrastructure from Aerial Imagery with Deep Learning. IGARSS 2020: 2229-2232 - 2019
- [c54]Kangcheng Lin, Bohao Huang, Leslie M. Collins, Kyle Bradbury, Jordan M. Malof:
A simple rotational equivariance loss for generic convolutional segmentation networks: preliminary results. IGARSS 2019: 3876-3879 - [c53]Fanjie Kong, Cheng Chen, Bohao Huang, Leslie M. Collins, Kyle Bradbury, Jordan M. Malof:
Training a single multi-class convolutional segmentation network using multiple datasets with heterogeneous labels: preliminary results. IGARSS 2019: 3903-3906 - 2018
- [c49]Rui Wang, Leslie M. Collins, Kyle Bradbury, Jordan M. Malof:
Semisupervised Adversarial Discriminative Domain Adaptation, with Applicationto Remote Sensing Data. IGARSS 2018: 3611-3614 - [c48]Bohao Huang, Daniel Reichman, Leslie M. Collins, Kyle Bradbury, Jordan M. Malof:
On The Extraction of Training Imagery from Very Large Remote Sensing Datasets for Deep Convolutional Segmenatation Networks. IGARSS 2018: 6895-6898 - [c47]Bohao Huang, Leslie M. Collins, Kyle Bradbury, Jordan M. Malof:
Deep Convolutional Segmentation of Remote Sensing Imagery: A Simple and Efficient Alternative to Stitching Output Labels. IGARSS 2018: 6899-6902 - [c46]Bohao Huang, Kangkang Lu, Nicolas Audebert, Andrew Khalel, Yuliya Tarabalka, Jordan M. Malof, Alexandre Boulch, Bertrand Le Saux, Leslie M. Collins, Kyle Bradbury, Sébastien Lefèvre, Motaz El-Saban:
Large-Scale Semantic Classification: Outcome of the First Year of Inria Aerial Image Labeling Benchmark. IGARSS 2018: 6947-6950 - [i10]Joseph A. Camilo, Rui Wang, Leslie M. Collins, Kyle Bradbury, Jordan M. Malof:
Application of a semantic segmentation convolutional neural network for accurate automatic detection and mapping of solar photovoltaic arrays in aerial imagery. CoRR abs/1801.04018 (2018) - [i8]Bohao Huang, Daniel Reichman, Leslie M. Collins, Kyle Bradbury, Jordan M. Malof:
Dense labeling of large remote sensing imagery with convolutional neural networks: a simple and faster alternative to stitching output label maps. CoRR abs/1805.12219 (2018) - 2017
- [c43]Jordan M. Malof, Sravya Chelikani, Leslie M. Collins, Kyle Bradbury:
Trading spatial resolution for improved accuracy in remote sensing imagery: an empirical study using synthetic data. AIPR 2017: 1-7 - [c42]Rui Wang, Joseph A. Camilo, Leslie M. Collins, Kyle Bradbury, Jordan M. Malof:
The poor generalization of deep convolutional networks to aerial imagery from new geographic locations: an empirical study with solar array detection. AIPR 2017: 1-8 - [c41]Rui Wang, Joseph A. Camilo, Leslie M. Collins, Kyle Bradbury, Jordan M. Malof:
The poor generalization of deep convolutional networks to aerial imagery from new geographic locations: an empirical study with solar array detection. AIPR 2017: 1-8 - [c39]Jordan M. Malof, Leslie M. Collins, Kyle Bradbury:
A deep convolutional neural network, with pre-training, for solar photovoltaic array detection in aerial imagery. IGARSS 2017: 874-877 - [c38]Brenda So, Cory Nezin, Vishnu Kaimal, Sam Keene, Leslie M. Collins, Kyle Bradbury, Jordan M. Malof:
Estimating the electricity generation capacity of solar photovoltaic arrays using only color aerial imagery. IGARSS 2017: 1603-1606 - [c37]Shengxin Qian, Sravya Chelikani, Patrick Wang, Leslie M. Collins, Kyle Bradbury, Jordan M. Malof:
Trading spatial resolution for improved accuracy when using detection algorithms on remote sensing imagery. IGARSS 2017: 3716-3719 - 2016
- [i3]Jordan M. Malof, Kyle Bradbury, Leslie M. Collins, Richard G. Newell:
Automatic Detection of Solar Photovoltaic Arrays in High Resolution Aerial Imagery. CoRR abs/1607.06029 (2016) - 2015
- [c32]Nicholas Czarnek, Kenneth Morton, Leslie M. Collins, Richard G. Newell, Kyle Bradbury:
Performance comparison framework for energy disaggregation systems. SmartGridComm 2015: 446-452
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