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A vehicle detection and tracking method for traffic video based on faster R-CNN JOURNAL ARTICLE published August 2022 in Multimedia Tools and Applications |
AG-YOLO: Attention-guided network for real-time object detection JOURNAL ARTICLE published 4 September 2023 in Multimedia Tools and Applications Research funded by National key research and development program (2020YFB160070301) | Modern Agricultural Technology Industry System of Shandong province (CX(20)2013) | the Key R &D Program of Jiangsu Province (BE2019311) |
Adaptive threshold cascade faster RCNN for domain adaptive object detection JOURNAL ARTICLE published 16 April 2021 in Multimedia Tools and Applications Research funded by National Natural Science Foundation of China (61802056) | Natural Science Foundation of Jilin Province (20180101043JC) | Development and Reform Committee Foundation of Jilin province of China (2019C053-9) | Open Research Fund of Key Laboratory of Space Utilization, Chinese Academy of Sciences (LSU-KFJJ-2019-08) |
Object Detection Difficulty: Suppressing Over-aggregation for Faster and Better Video Object Detection PROCEEDINGS ARTICLE published 26 October 2023 in Proceedings of the 31st ACM International Conference on Multimedia Research funded by Commonwealth Scientific and Industrial Research Organisation (R-91559) |
YOLO with adaptive frame control for real-time object detection applications JOURNAL ARTICLE published October 2022 in Multimedia Tools and Applications Research funded by National Research Foundation of Korea (NRF-2019R1F1A1054896) |
Real-time salient object detection PROCEEDINGS ARTICLE published 21 October 2013 in Proceedings of the 21st ACM international conference on Multimedia |
Real-time multiple object instances detection PROCEEDINGS ARTICLE published 29 October 2012 in Proceedings of the 20th ACM international conference on Multimedia |
Real-Time Object Detection by Feature Map Forecast for Live Streaming Video PROCEEDINGS ARTICLE published 5 July 2021 in 2021 IEEE International Conference on Multimedia and Expo (ICME) |
Weakly Supervised Real-Time Object Detection Based on Salient Map Extraction and the Improved YOLOv5 Model JOURNAL ARTICLE published 27 September 2022 in Advances in Multimedia |
Real-time abandoned and stolen object detection based on spatio-temporal features in crowded scenes JOURNAL ARTICLE published June 2016 in Multimedia Tools and Applications |
Real-time traffic sign detection and classification towards real traffic scene JOURNAL ARTICLE published July 2020 in Multimedia Tools and Applications Research funded by National Natural Science Foundation of China (61672215) | National Key R&D Program of China (2018YFB1308604) | Hunan Science and Technology Innovation Project (2017XK2102) |
YOLO v5 and Faster R-CNN Performance Evaluation of Solid Waste in Object Detection Application BOOK CHAPTER published 3 January 2023 in Advances in Multimedia and Interactive Technologies |
Cropping Region Proposal Network Based Framework for Efficient Object Detection on Large Scale Remote Sensing Images PROCEEDINGS ARTICLE published July 2019 in 2019 IEEE International Conference on Multimedia and Expo (ICME) |
Object detection and recognition using contour based edge detection and fast R-CNN JOURNAL ARTICLE published December 2022 in Multimedia Tools and Applications |
Real time object detection and trackingsystem for video surveillance system JOURNAL ARTICLE published January 2021 in Multimedia Tools and Applications |
CNN-based single object detection and tracking in videos and its application to drone detection JOURNAL ARTICLE published November 2021 in Multimedia Tools and Applications Research funded by National Research Foundation of Korea (2019R1F1A1040709,2017R1C1B5017125) |
Real-time Human Detection under Omni-dir ectional Camera based on CNN with Unified Detection and AGMM for Visual Surveillance JOURNAL ARTICLE published 30 August 2016 in Journal of Korea Multimedia Society |
An Advanced Moving Object Detection Algorithm for Automatic Traffic Monitoring in Real-World Limited Bandwidth Networks JOURNAL ARTICLE published April 2014 in IEEE Transactions on Multimedia |
Instance-level object retrieval via deep region CNN JOURNAL ARTICLE published May 2019 in Multimedia Tools and Applications Research funded by National Natural Science Foundation of China (61532018,61322212,61602437,61672497,61472229,61202152) | Beijing Municipal Commission of Science and Technology (D161100001816001) | Beijing Natural Science Foundation of Beijing Municipality (CN) (4174106) | China Postdoctoral Science Foundation (2016M590135,2017T100110) | Science and Technology Development Fund of Shandong Province of China (2016ZDJS02A11,ZR2017MF027) | SDUST Research Fund (2015TDJH102) |
Tracking Assisted Faster Video Object Detection PROCEEDINGS ARTICLE published July 2019 in 2019 IEEE International Conference on Multimedia and Expo (ICME) |