Ke Gao
Ke Gao
Research Engineer, Meta Reality Labs Research
Verified email at
Cited by
Cited by
The visual object tracking vot2015 challenge results
M Kristan, J Matas, A Leonardis, M Felsberg, L Cehovin, G Fernandez, ...
Proceedings of the IEEE international conference on computer vision …, 2015
DroneCOCoNet: Learning-based edge computation offloading and control networking for drone video analytics
C Qu, P Calyam, J Yu, A Vandanapu, O Opeoluwa, K Gao, S Wang, ...
Future Generation Computer Systems 125, 247-262, 2021
Local feature performance evaluation for structure-from-motion and multi-view stereo using simulated city-scale aerial imagery
K Gao, H Aliakbarpour, J Fraser, K Nouduri, F Bunyak, R Massaro, ...
IEEE Sensors Journal 21 (10), 11615-11627, 2020
DCT-based local descriptor for robust matching and feature tracking in wide area motion imagery
K Gao, H Aliakbarpour, G Seetharaman, K Palaniappan
IEEE geoscience and remote sensing letters 18 (8), 1441-1445, 2020
DeepDDK: A deep learning based oral-diadochokinesis analysis software
YY Wang, K Gao, AM Kloepper, Y Zhao, M Kuruvilla-Dugdale, TE Lever, ...
2019 IEEE EMBS International Conference on Biomedical & Health Informatics …, 2019
grasviq: an image analysis framework for automatically quantifying vein number and morphology in grass leaves
JM Robil, K Gao, CM Neighbors, M Boeding, FM Carland, F Bunyak, ...
The Plant Journal 107 (2), 629-648, 2021
Deep realistic novel view generation for city-scale aerial images
K Nouduri, K Gao, J Fraser, S Yao, H AliAkbarpour, F Bunyak, ...
2020 25th International Conference on Pattern Recognition (ICPR), 10561-10567, 2021
Museed: a mobile image analysis application for plant seed morphometry
K Gao, T White, K Palaniappan, M Warmund, F Bunyak
2017 IEEE International Conference on Image Processing (ICIP), 2826-2830, 2017
Structure from motion and mosaicking for high-throughput field-scale phenotyping
H AliAkbarpour, K Gao, R Aktar, S Suddarth, K Palaniappan
High-Throughput Crop Phenotyping, 55-69, 2021
Sensitivity of multiview 3D point cloud reconstruction to compression quality and image feature detectability
K Gao, S Yao, H AliAkbarpour, S Agarwal, G Seetharaman, ...
2019 IEEE Applied Imagery Pattern Recognition Workshop (AIPR), 1-6, 2019
Evaluation of feature matching in aerial imagery for structure-from motion and bundle adjustment
K Gao, H AliAkbarpour, K Palaniappan, G Seetharaman
Geospatial Informatics, Motion Imagery, and Network Analytics VIII 10645 …, 2018
CSANG: Continuous scale anisotropic gaussians for robust linear structure extraction
VBS Prasath, S Surineni, K Gao, G Seetharaman, K Palaniappan
2016 IEEE Applied Imagery Pattern Recognition Workshop (AIPR), 1-7, 2016
Impact of georegistration accuracy on wide area motion imagery object detection and tracking
N Al-Shakarji, K Gao, F Bunyak, H Aliakbarpour, E Blasch, P Narayaran, ...
2021 IEEE 24th International Conference on Information Fusion (FUSION), 1-8, 2021
Deep learning and DCT-based hand-crafted features for computer vision tasks
K Gao
University of Missouri--Columbia, 2022
pyTAG: python-based interactive training data generation for visual tracking algorithms (Conference Presentation)
E Ufuktepe, V Ramtekkar, K Gao, N Al-Shakarji, J Fraser, H AliAkbarpour, ...
Geospatial Informatics X 11398, 113980D, 2020
Robust target tracking using adaptive color feature and likelihood fusion
A Bouix, N Al-Shakarji, K Gao, F Bunyak, A Chazot, A Hafiane, ...
Geospatial Informatics, Motion Imagery, and Network Analytics VIII 10645 …, 2018
Mobile Image Analysis for Microscopic Images of Seeds
K Gao, M Warmund, T White, R Angelovici, F Bunyak
Microscopy and Microanalysis 23 (S1), 1326-1327, 2017
The system can't perform the operation now. Try again later.
Articles 1–17