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2020 – today
- 2021
[j4]Junbo Ma
, Ruili Wang, Wanting Ji, Jiawei Zhao, Ming Zong, Andrew Gilman:
Robust multi-view continuous subspace clustering. Pattern Recognit. Lett. 150: 306-312 (2021)- [c12]Jiawei Zhao, Wei Luo, Boxing Chen, Andrew Gilman:
Mutual-Learning Improves End-to-End Speech Translation. EMNLP (1) 2021: 3989-3994 - [c11]Louis Ranjard, James Bristow, Zulfikar Hossain, Alvaro Orsi, Henry J. Kirkwood, Andrew Gilman:
Likelihood-free Bayesian inference framework for sizing kiwifruit from orchard imaging surveys. IVCNZ 2021: 1-6 - 2020
- [j3]Yuhang Pang, Fan Li, Xiaoya Qiao, Andrew Gilman:
Real-time tracking based on deep feature fusion. Multim. Tools Appl. 79(37-38): 27229-27255 (2020) - [j2]Qihang Peng, Andrew Gilman, Nuno Vasconcelos, Pamela C. Cosman, Laurence B. Milstein:
Robust Deep Sensing Through Transfer Learning in Cognitive Radio. IEEE Wirel. Commun. Lett. 9(1): 38-41 (2020) - [c10]Pranav Venuprasad, Li Xu, Enoch Huang, Andrew Gilman, Leanne Chukoskie, Pamela C. Cosman:
Analyzing Gaze Behavior Using Object Detection and Unsupervised Clustering. ETRA 2020: 3:1-3:9 - [c9]Jiawei Zhao, Andrew Gilman:
Non-Linearity in Mapping Based Cross-Lingual Word Embeddings. LREC 2020: 3583-3589
2010 – 2019
- 2019
- [c8]Pranav Venuprasad, Tushar Dobhal, Anurag Paul, Tu N. M. Nguyen, Andrew Gilman, Pamela C. Cosman, Leanne Chukoskie:
Characterizing joint attention behavior during real world interactions using automated object and gaze detection. ETRA 2019: 21:1-21:8 - [c7]Ziyu Ye, Andrew Gilman, Qihang Peng, Kelly Levick, Pamela C. Cosman, Larry B. Milstein:
Comparison of Neural Network Architectures for Spectrum Sensing. GLOBECOM Workshops 2019: 1-6 - [i4]Soren Bouma, Matthew D. M. Pawley, Krista Hupman, Andrew Gilman:
Individual common dolphin identification via metric embedding learning. CoRR abs/1901.03662 (2019) - [i3]Ziyu Ye, Andrew Gilman, Qihang Peng, Kelly Levick, Pamela C. Cosman, Larry B. Milstein:
Comparison of Neural Network Architectures for Spectrum Sensing. CoRR abs/1907.07321 (2019) - [i2]Ziyu Ye, Qihang Peng, Kelly Levick, Hui Rong, Andrew Gilman, Pamela C. Cosman, Larry B. Milstein:
A Neural Network Detector for Spectrum Sensing under Uncertainties. CoRR abs/1907.07326 (2019) - [i1]Qihang Peng, Andrew Gilman, Nuno Vasconcelos, Pamela C. Cosman, Laurence B. Milstein:
Robust Deep Sensing Through Transfer Learning in Cognitive Radio. CoRR abs/1908.00658 (2019) - 2018
- [c6]Soren Bouma, Matthew D. M. Pawley, Krista Hupman, Andrew Gilman:
Individual Common Dolphin Identification Via Metric Embedding Learning. IVCNZ 2018: 1-6 - 2016
- [c5]Yukio Fukuzawa, Stephen Marsland, Matthew D. M. Pawley, Andrew Gilman:
Segmentation of harmonic syllables in noisy recordings of bird vocalisations. IVCNZ 2016: 1-6 - [c4]Andrew Gilman, Krista Hupman, Karen A. Stockin, Matthew D. M. Pawley:
Computer-assisted recognition of dolphin individuals using dorsal fin pigmentations. IVCNZ 2016: 1-6 - 2014
- [j1]Andrew Gilman, Martin Johnson:
Real-time segmentation for baggage tracking on a cost effective embedded platform. Int. J. Intell. Syst. Technol. Appl. 13(4): 245-257 (2014) - 2013
- [c3]Andrew Gilman, Ting Dong, Krista Hupman, Karen A. Stockin, Matthew D. M. Pawley:
Dolphin fin pose correction using ICP in application to photo-identification. IVCNZ 2013: 388-393 - 2010
- [c2]Andrew Gilman, Donald G. Bailey, Stephen Marsland:
Least-squares Optimal Interpolation for Fast Image Super-resolution. DELTA 2010: 29-34
2000 – 2009
- 2008
- [c1]Andrew Gilman, Donald G. Bailey, Stephen Marsland:
Interpolation Models for Image Super-resolution. DELTA 2008: 55-60
Coauthor Index
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