| 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 | 2112 | 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 | 26 | 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 | 17 | 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 | 13 | 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 | 13 | 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 | 9 | 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 | 8 | 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 | 7 | 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 | 4 | 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 | 4 | 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 | 3 | 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 | 2 | 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 | 1 | 2021 |
| Deep learning and DCT-based hand-crafted features for computer vision tasks K Gao University of Missouri--Columbia, 2022 | | 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 | | 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 | | 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 | | 2017 |
K. PalaniappanProfessor of Electrical Engineering & Computer Science, University of Missouri-ColumbiaVerified email at missouri.edu
