• Publications
  • Influence
Detecting Text in Natural Image with Connectionist Text Proposal Network
TLDR
We propose a novel Connectionist Text Proposal Network (CTPN) that accurately localizes text lines in natural image. Expand
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Adversarial Examples: Attacks and Defenses for Deep Learning
TLDR
We review recent findings on adversarial examples for DNNs, summarize the methods for generating adversarial example, and propose a taxonomy of these methods. Expand
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Single Shot Text Detector with Regional Attention
TLDR
We present a novel single-shot text detector that directly outputs word-level bounding boxes in a natural image. Expand
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Reading Scene Text in Deep Convolutional Sequences
TLDR
We develop a Deep-Text Recurrent Network (DTRN) that regards scene text reading as a sequence labelling problem. Expand
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Adaptive Adversarial Attack on Scene Text Recognition
  • X. Yuan, Pan He, X. Li
  • Computer Science
  • IEEE INFOCOM - IEEE Conference on Computer…
  • 9 July 2018
TLDR
In this paper, we propose an adaptive approach to accelerate adversarial attacks, inspired by recent findings in multi-task learning. Expand
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Intelligent Intersection: Two-Stream Convolutional Networks for Real-time Near Accident Detection in Traffic Video
TLDR
In Intelligent Transportation System, real-time systems that monitor and analyze road users become increasingly critical as we march toward the smart city era. Expand
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Boosting up Scene Text Detectors with Guided CNN
TLDR
We propose a general framework for text detection called Guided CNN to achieve the two goals simultaneously. Expand
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Learning Fast and Slow: PROPEDEUTICA for Real-time Malware Detection
TLDR
We introduce and evaluate PROPEDEUTICA, a novel methodology and framework for efficient and effective real-time malware detection, leveraging the best of conventional machine learning (ML) and deep learning (DL) algorithms. Expand
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Intelligent Intersection
TLDR
We propose an integrated two-stream convolutional networks architecture that performs real-time detection, tracking, and near-accident detection of road users in traffic video data. Expand
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