Pan He

Publications
Influence

Detecting Text in Natural Image with Connectionist Text Proposal Network

Zhi Tian, Weilin Huang, Tong He, Pan He, Yu Qiao
Computer Science
ECCV
12 September 2016

We propose a novel Connectionist Text Proposal Network (CTPN) that accurately localizes text lines in natural image. Expand

Adversarial Examples: Attacks and Defenses for Deep Learning

Xiaoyong Yuan, Pan He, Qile Zhu, X. Li
Computer Science, Mathematics
IEEE Transactions on Neural Networks and Learning…
19 December 2017

We review recent findings on adversarial examples for DNNs, summarize the methods for generating adversarial example, and propose a taxonomy of these methods. Expand

Single Shot Text Detector with Regional Attention

Pan He, Weilin Huang, Tong He, Qile Zhu, Yu Qiao, Xiaolin Li
Computer Science
IEEE International Conference on Computer Vision…
1 September 2017

We present a novel single-shot text detector that directly outputs word-level bounding boxes in a natural image. Expand

Reading Scene Text in Deep Convolutional Sequences

Pan He, Weilin Huang, Yu Qiao, Chen Change Loy, X. Tang
Computer Science
AAAI
14 June 2015

We develop a Deep-Text Recurrent Network (DTRN) that regards scene text reading as a sequence labelling problem. Expand

Adaptive Adversarial Attack on Scene Text Recognition

X. Yuan, Pan He, X. Li
Computer Science
IEEE INFOCOM - IEEE Conference on Computer…
9 July 2018

In this paper, we propose an adaptive approach to accelerate adversarial attacks, inspired by recent findings in multi-task learning. Expand

Intelligent Intersection: Two-Stream Convolutional Networks for Real-time Near Accident Detection in Traffic Video

X. Huang, Pan He, Anand Rangarajan, S. Ranka
Computer Science
ArXiv
4 January 2019

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

Boosting up Scene Text Detectors with Guided CNN

Xiaoyu Yue, Zhanghui Kuang, +4 authors Wayne Zhang
Computer Science
BMVC
10 May 2018

We propose a general framework for text detection called Guided CNN to achieve the two goals simultaneously. Expand

Learning Fast and Slow: PROPEDEUTICA for Real-time Malware Detection

Ruimin Sun, X. Yuan, +5 authors Xiaolin Li
Computer Science
ArXiv
4 December 2017

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

Intelligent Intersection

Xiaohui Huang, Pan He, Anand Rangarajan, S. Ranka
Computer Science
ACM Trans. Spatial Algorithms Syst.
24 January 2020

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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