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Yingjie Yin
Researcher at Chinese Academy of Sciences
Publications - 29
Citations - 476
Yingjie Yin is an academic researcher from Chinese Academy of Sciences. The author has contributed to research in topics: Monocular vision & Object detection. The author has an hindex of 10, co-authored 29 publications receiving 320 citations. Previous affiliations of Yingjie Yin include Hong Kong Polytechnic University.
Papers
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Face Detection With Different Scales Based on Faster R-CNN
TL;DR: A different scales face detector (DSFD) based on Faster R-CNN is proposed that achieves promising performance on popular benchmarks including FDDB, AFW, PASCAL faces, and WIDER FACE.
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Robust Visual Detection–Learning–Tracking Framework for Autonomous Aerial Refueling of UAVs
TL;DR: The experimental results on several challenging video sequences validate the effectiveness and robustness of the proposed robust visual detection-learning-tracking framework for autonomous aerial refueling of unmanned aerial vehicles.
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Online State-Based Structured SVM Combined With Incremental PCA for Robust Visual Tracking
TL;DR: A robust state-based structured support vector machine (SVM) tracking algorithm combined with incremental principal component analysis (PCA) that directly learns and predicts the object's states and not the 2-D translation transformation during tracking.
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Robust Landmark Detection and Position Measurement Based on Monocular Vision for Autonomous Aerial Refueling of UAVs
TL;DR: Experimental results on the two KUKA robots platform verify the effectiveness and robustness of the proposed position measurement system, including drogue’s landmark detection and position computation for aerial refueling of unmanned aerial vehicles.
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Robust Visual Detection and Tracking Strategies for Autonomous Aerial Refueling of UAVs
TL;DR: The experimental results validate the effectiveness and robustness of the proposed framework and show the precision of drogue object tracking is 98.7%, which is obviously higher than the other comparison methods.