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Towards End-to-End License Plate Detection and Recognition: A Large Dataset and Baseline
TLDR
This paper presents a novel network model which can predict the bounding box and recognize the corresponding LP number simultaneously with high speed and accuracy, and demonstrates the model outperforms current object detection and recognition approaches in both accuracy and speed.
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WiFinger: talk to your smart devices with finger-grained gesture
TLDR
WiFinger is deigned to recognize a set of finger-grained gestures, which are further used to realize continuous text input in off-the-shelf WiFi devices, and achieves up to 90.4% average classification accuracy for recognizing 9 digits finger- grained gestures from American Sign Language (ASL).
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A new scheme for covert communication via 3G encoded speech
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AN IMPROVED AES S-BOX AND ITS PERFORMANCE ANALYSIS
TLDR
This paper proposes to increase the complexity and security of AES S-box by modifying the affine transformation and adding an affine transformations, and comparison results suggest that the improved AES s-box has better performance and can readily be applied to AES.
WiStep: Device-free Step Counting with WiFi Signals
TLDR
This paper leverages ubiquitous WiFi signals and proposes a device-free step counting system, called WiStep, based on the multipath propagation model, which can count the steps of in-place walking even when the person's torso speed is null.
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Mutual Information Optimally Local Private Discrete Distribution Estimation
TLDR
This work proposes an efficient implementation of the $k$-subset mechanism for discrete distribution estimation, and shows its optimality guarantees over existing approaches.
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Towards Preserving Worker Location Privacy in Spatial Crowdsourcing
TLDR
This paper proposes an efficient protocol to securely compute the worker travel cost and select minimum cost worker in the encrypted domain, which reveals nothing about location privacy, and theoretically analyze that the protocol is secure as all encrypted private data are computationally indistinguishable.
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Segment as Points for Efficient Online Multi-Object Tracking and Segmentation
TLDR
This paper proposes a highly effective method for learning instance embeddings based on segments by converting the compact image representation to un-ordered 2D point cloud representation and builds a more challenging MOTS dataset named APOLLO MOTS with higher instance density.
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ZoomNet: Part-Aware Adaptive Zooming Neural Network for 3D Object Detection
TLDR
A novel framework named ZoomNet for stereo imagery-based 3D detection, which surpasses all previous state-of-the-art methods by large margins and introduces to learn part locations as complementary features to improve the resistance against occlusion and put forward the 3D fitting score to better estimate the3D detection quality.
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Quantum Teleportation via GHZ-like State
We propose an efficient teleportation scheme for an unknown state to either one of two receivers via GHZ-like states. We also discuss the fidelity of the quantum state when the control party is…
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