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ORCIDKourosh Meshgi
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2020 – today
- 2023
[c21]Maryam Sadat Mirzaei, Kourosh Meshgi, Satoshi Sekine:
What is the Real Intention behind this Question? Dataset Collection and Intention Classification. ACL (1) 2023: 13606-13622- 2022
- [c20]Kourosh Meshgi, Maryam Sadat Mirzaei, Satoshi Sekine:
Q-Learning Scheduler for Multi Task Learning Through the use of Histogram of Task Uncertainty. RepL4NLP@ACL 2022: 9-19 - [c19]Kourosh Meshgi, Maryam Sadat Mirzaei, Satoshi Sekine:
Uncertainty Regularized Multi-Task Learning. WASSA@ACL 2022: 78-88 - [c18]Maryam Sadat Mirzaei, Kourosh Meshgi, Satoshi Sekine:
Is this Question Real? Dataset Collection on Perceived Intentions and Implicit Attack Detection. WWW 2022: 2850-2859 - 2021
- [j6]Akihiro Kubo
, Kourosh Meshgi, Shin Ishii:
A Meta-Q-Learning Approach to Discriminative Correlation Filter based Visual Tracking. J. Intell. Robotic Syst. 101(1): 11 (2021) - [c17]Maryam Sadat Mirzaei, Kourosh Meshgi:
Adaptive Listening Difficulty Detection for L2 Learners Through Moderating ASR Resources. Interspeech 2021: 3929-3933 - 2020
- [c16]Kourosh Meshgi, Maryam Sadat Mirzaei, Shigeyuki Oba:
Leveraging Tacit Information Embedded in CNN Layers for Visual Tracking. ACCV (2) 2020: 521-538 - [c15]Kourosh Meshgi, Maryam Sadat Mirzaei:
Adversarial Semi-supervised Multi-domain Tracking. ACCV (2) 2020: 612-630 - [c14]Maryam Sadat Mirzaei, Kourosh Meshgi, Etienne Frigo, Toyoaki Nishida:
Animgan: A Spatiotemporally-Conditioned Generative Adversarial Network For Character Animation. ICIP 2020: 2286-2290 - [i9]Maryam Sadat Mirzaei, Kourosh Meshgi, Etienne Frigo, Toyoaki Nishida:
AnimGAN: A Spatiotemporally-Conditioned Generative Adversarial Network for Character Animation. CoRR abs/2005.11489 (2020) - [i8]Kourosh Meshgi, Maryam Sadat Mirzaei:
Adversarial Semi-Supervised Multi-Domain Tracking. CoRR abs/2009.14635 (2020) - [i7]Kourosh Meshgi, Maryam Sadat Mirzaei, Shigeyuki Oba:
Leveraging Tacit Information Embedded in CNN Layers for Visual Tracking. CoRR abs/2010.01204 (2020)
2010 – 2019
- 2019
- [c13]Kourosh Meshgi, Maryam Sadat Mirzaei, Shigeyuki Oba:
Long and Short Memory Balancing in Visual Co-Tracking Using Q-Learning. ICIP 2019: 3970-3974 - [i6]Kourosh Meshgi, Maryam Sadat Mirzaei, Shigeyuki Oba:
Long and Short Memory Balancing in Visual Co-Tracking using Q-Learning. CoRR abs/1902.05211 (2019) - 2018
- [j5]Maryam Sadat Mirzaei, Kourosh Meshgi, Tatsuya Kawahara:
Exploiting automatic speech recognition errors to enhance partial and synchronized caption for facilitating second language listening. Comput. Speech Lang. 49: 17-36 (2018) - [c12]Kourosh Meshgi, Shigeyuki Oba, Shin Ishii:
Efficient Diverse Ensemble for Discriminative Co-Tracking. CVPR 2018: 4814-4823 - [c11]Kourosh Meshgi, Maryam Sadat Mirzaei, Shigeyuki Oba:
Information-Maximizing Sampling to Promote Tracking-By-Detection. ICIP 2018: 2700-2704 - [i5]Kourosh Meshgi, Maryam Sadat Mirzaei, Shigeyuki Oba:
Information-Maximizing Sampling to Promote Tracking-by-Detection. CoRR abs/1806.02523 (2018) - 2017
- [j4]Kourosh Meshgi, Shin-ichi Maeda, Shigeyuki Oba, Shin Ishii:
Constructing a meta-tracker using Dropout to imitate the behavior of an arbitrary black-box tracker. Neural Networks 87: 132-148 (2017) - [c10]Kourosh Meshgi, Maryam Sadat Mirzaei, Shigeyuki Oba, Shin Ishii:
Active collaborative ensemble tracking. AVSS 2017: 1-6 - [c9]Kourosh Meshgi, Shigeyuki Oba, Shin Ishii:
Efficient Version-Space Reduction for Visual Tracking. CRV 2017: 139-146 - [c8]Kourosh Meshgi, Maryam Sadat Mirzaei, Shigeyuki Oba, Shin Ishii:
Efficient asymmetric co-tracking using uncertainty sampling. ICSIPA 2017: 241-246 - [c7]Kourosh Meshgi, Shigeyuki Oba, Shin Ishii:
Active discriminative tracking using collective memory. MVA 2017: 374-377 - [c6]Maryam Sadat Mirzaei, Kourosh Meshgi, Tatsuya Kawahara:
Detecting listening difficulty for second language learners using Automatic Speech Recognition errors. SLaTE 2017: 156-160 - [i4]Kourosh Meshgi, Maryam Sadat Mirzaei, Shigeyuki Oba, Shin Ishii:
Efficient Asymmetric Co-Tracking using Uncertainty Sampling. CoRR abs/1704.00083 (2017) - [i3]Kourosh Meshgi, Shigeyuki Oba, Shin Ishii:
Efficient Version-Space Reduction for Visual Tracking. CoRR abs/1704.00299 (2017) - [i2]Kourosh Meshgi, Maryam Sadat Mirzaei, Shigeyuki Oba, Shin Ishii:
Active Collaborative Ensemble Tracking. CoRR abs/1704.08821 (2017) - [i1]Kourosh Meshgi, Shigeyuki Oba, Shin Ishii:
Efficient Diverse Ensemble for Discriminative Co-Tracking. CoRR abs/1711.06564 (2017) - 2016
- [j3]Kourosh Meshgi, Shin-ichi Maeda, Shigeyuki Oba, Henrik Skibbe, Yu-zhe Li, Shin Ishii:
An occlusion-aware particle filter tracker to handle complex and persistent occlusions. Comput. Vis. Image Underst. 150: 81-94 (2016) - [c5]Maryam Sadat Mirzaei, Kourosh Meshgi, Tatsuya Kawahara:
Automatic Speech Recognition Errors as a Predictor of L2 Listening Difficulties. CL4LC@COLING 2016 2016: 192-201 - [c4]Kourosh Meshgi, Shigeyuki Oba, Shin Ishii:
Robust discriminative tracking via query-by-bagging. AVSS 2016: 8-14 - [c3]Kourosh Meshgi, Shin-ichi Maeda, Shigeyuki Oba, Shin Ishii:
Data-Driven Probabilistic Occlusion Mask to Promote Visual Tracking. CRV 2016: 178-185 - 2015
- [b1]Kourosh Meshgi:
Particle filter-based tracking to handle persistent and complex occlusions and imitate arbitrary black-box trackers. Kyoto University, Japan, 2015 - [j2]Kourosh Meshgi, Shin Ishii:
The State-of-the-Art in Handling Occlusions for Visual Object Tracking. IEICE Trans. Inf. Syst. 98-D(7): 1260-1274 (2015) - [c2]Kourosh Meshgi, Shin Ishii:
Expanding histogram of colors with gridding to improve tracking accuracy. MVA 2015: 475-479 - 2013
- [c1]Sajad Ebrahimi, Kourosh Meshgi, Shahram Khadivi, Mohammad Ebrahim Shiri Ahmad Abady:
Meta-level Statistical Machine Translation. IJCNLP 2013: 1151-1157 - 2011
- [j1]Seyed Saeid Masoumzadeh, Kourosh Meshgi, Saeid Shiry Ghidari, Gelareh Taghizadeh:
FQL-RED: an adaptive scalable schema for active queue management. Int. J. Netw. Manag. 21(2): 147-167 (2011)
Coauthor Index
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