Kourosh Meshgi

发表

An occlusion-aware particle filter tracker to handle complex and persistent occlusions

Shin Ishii, Kourosh Meshgi, Shigeyuki Oba, 2016, Computer Vision and Image Understanding.

Fusion of Multiple Cues from Color and Depth Domains using Occlusion Aware Bayesian Tracker (ニューロコンピューティング)

S. Maeda, S. Ishii, S. Oba, 2013 .

Uncertainty Regularized Multi-Task Learning

Maryam Sadat Mirzaei, S. Sekine, Kourosh Meshgi, 2022, WASSA.

Q-Learning Scheduler for Multi Task Learning Through the use of Histogram of Task Uncertainty

S. Sekine, Kourosh Meshgi, Maryam Sadat Mirzaei, 2022, REPL4NLP.

Active Collaboration of Classifiers for Visual Tracking Active Collaboration of Classifiers for Visual Tracking

S. Oba, Kourosh Meshgi, 2018 .

Adversarial Semi-Supervised Multi-Domain Tracking pdf

Maryam Sadat Mirzaei, Kourosh Meshgi, Kourosh Meshgi, 2020, ACCV.

Efficient asymmetric co-tracking using uncertainty sampling

Shin Ishii, Maryam Sadat Mirzaei, Kourosh Meshgi, 2017, 2017 IEEE International Conference on Signal and Image Processing Applications (ICSIPA).

Constructing a meta-tracker using Dropout to imitate the behavior of an arbitrary black-box tracker

Shin Ishii, Kourosh Meshgi, Shigeyuki Oba, 2017, Neural Networks.

FQL‐RED: an adaptive scalable schema for active queue management

Kourosh Meshgi, Seyed Saeid Masoumzadeh, Saeid Shiry Ghidari, 2010, Int. J. Netw. Manag..

Deep Blue: A Fuzzy Q-Learning Enhanced Active Queue Management Scheme

S. S. Masoumzadeh, S. Shiry, G. Taghizadeh, 2009, 2009 International Conference on Adaptive and Intelligent Systems.

Long and Short Memory Balancing in Visual Co-Tracking Using Q-Learning

Maryam Sadat Mirzaei, Kourosh Meshgi, Shigeyuki Oba, 2019, 2019 IEEE International Conference on Image Processing (ICIP).

Active discriminative tracking using collective memory

Shin Ishii, Kourosh Meshgi, Shigeyuki Oba, 2017, 2017 Fifteenth IAPR International Conference on Machine Vision Applications (MVA).

Exploiting automatic speech recognition errors to enhance partial and synchronized caption for facilitating second language listening

Tatsuya Kawahara, Maryam Sadat Mirzaei, Kourosh Meshgi, 2018, Comput. Speech Lang..

Expanding histogram of colors with gridding to improve tracking accuracy

Shin Ishii, Kourosh Meshgi, S. Ishii, 2015, 2015 14th IAPR International Conference on Machine Vision Applications (MVA).

Efficient Diverse Ensemble for Discriminative Co-tracking

Shin Ishii, Kourosh Meshgi, Shigeyuki Oba, 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Animgan: A Spatiotemporally-Conditioned Generative Adversarial Network For Character Animation

Maryam Sadat Mirzaei, Toyoaki Nishida, Kourosh Meshgi, 2020, 2020 IEEE International Conference on Image Processing (ICIP).

What is the Real Intention behind this Question? Dataset Collection and Intention Classification

Maryam Sadat Mirzaei, S. Sekine, Kourosh Meshgi, 2023, ACL.

Is this Question Real? Dataset Collection on Perceived Intentions and Implicit Attack Detection

Maryam Sadat Mirzaei, S. Sekine, Kourosh Meshgi, 2022, The Web Conference.

The State-of-the-Art in Handling Occlusions for Visual Object Tracking

Shin Ishii, Kourosh Meshgi, S. Ishii, 2015, IEICE Trans. Inf. Syst..

Adaptive Listening Difficulty Detection for L2 Learners Through Moderating ASR Resources

Maryam Sadat Mirzaei, Kourosh Meshgi, Kourosh Meshgi, 2021, Interspeech.

A Meta-Q-Learning Approach to Discriminative Correlation Filter based Visual Tracking

Shin Ishii, Kourosh Meshgi, Akihiro Kubo, 2020, Journal of Intelligent & Robotic Systems.

Partial and synchronized captioning: A new tool to assist learners in developing second language listening skill

Tatsuya Kawahara, Maryam Sadat Mirzaei, Kourosh Meshgi, 2017, ReCALL.

Meta-level Statistical Machine Translation

Shahram Khadivi, Kourosh Meshgi, Mohammad Ebrahim Shiri, 2013, IJCNLP.

Leveraging Tacit Information Embedded in CNN Layers for Visual Tracking pdf

Maryam Sadat Mirzaei, Kourosh Meshgi, Shigeyuki Oba, 2020, ACCV.

Information-Maximizing Sampling to Promote Tracking-By-Detection

Maryam Sadat Mirzaei, Kourosh Meshgi, Shigeyuki Oba, 2018, 2018 25th IEEE International Conference on Image Processing (ICIP).

Multi-scale habitat modeling framework for predicting the potential distribution of sheep gastrointestinal nematodes across Iran’s three distinct climatic zones: a MaxEnt machine-learning algorithm

Kourosh Meshgi, A. Hanafi-Bojd, G. Modabbernia, 2024, Scientific reports.