Personal profile
Education
Ph. D : Computer Science, City University of New York (1991)
M.S. : Computer Science, Queens College /City University of New York (1985)
B.S. : Computer Science / Inha University (1982)
M.S. : Computer Science, Queens College /City University of New York (1985)
B.S. : Computer Science / Inha University (1982)
Research Interests
Artificial Intelligence, Augmented Reality, Neuro-Symbolic AI, Semantic Web
Major Research Achievements
RSINet: Rotation-Scale Invariant Network for Online Visual Tracking, International Conference on Pattern Recognition 2020.
Robust visual tracking based on global-and-local search with confidence reliability estimation, Neurocomputing 367 (2019) 273-286.
RANSAC versus CS-RANSAC, AAAI-2015.
A Unified Framework for Augmented Reality and Knowledge-based Systems in Maintaining Aircraft, IAAI/AAAI2014.
Robust visual tracking based on global-and-local search with confidence reliability estimation, Neurocomputing 367 (2019) 273-286.
RANSAC versus CS-RANSAC, AAAI-2015.
A Unified Framework for Augmented Reality and Knowledge-based Systems in Maintaining Aircraft, IAAI/AAAI2014.
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Collaborations and top research areas from the last five years
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Interaction with Industrial Digital Twin Using Neuro-Symbolic Reasoning
Siyaev, A., Valiev, D. & Jo, G. S., Feb 2023, In: Sensors. 23, 3, 1729.Research output: Contribution to journal › Article › peer-review
Open Access26 Scopus citations -
Unsupervised Video Summarization Based on Deep Reinforcement Learning with Interpolation
Yoon, U. N., Hong, M. D. & Jo, G. S., Apr 2023, In: Sensors. 23, 7, 3384.Research output: Contribution to journal › Article › peer-review
Open Access9 Scopus citations -
Interp-sum: Unsupervised video summarization with piecewise linear interpolation
Yoon, U. N., Hong, M. D. & Jo, G. S., 1 Jul 2021, In: Sensors. 21, 13, 4562.Research output: Contribution to journal › Article › peer-review
Open Access19 Scopus citations -
Neuro-Symbolic Speech Understanding in Aircraft Maintenance Metaverse
Siyaev, A. & Jo, G. S., 2021, In: IEEE Access. 9, p. 154484-154499 16 p.Research output: Contribution to journal › Article › peer-review
Open Access110 Scopus citations -
Self-attentive VAD: Context-aware detection of voice from noise
Jo, Y. R., Moon, Y. K., Cho, W. I. & Jo, G. S., 2021, 2021 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2021 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 6808-6812 5 p. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; vol. 2021-June).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
16 Scopus citations