1. 

   Pedestrian Detection with Autoregressive Network Phases

   Garrick Brazil, Xiaoming Liu

   We present an autoregressive pedestrian detection framework with cascaded phases designed to progressively improve precision. The proposed framework utilizes a novel lightweight stackable decoder-encoder module which uses convolutional re-sampling layers to improve features while maintaining efficient memory and runtime cost. Unlike previous cascaded detection systems, our proposed framework is designed ...

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   Keywords: Pedestrian Detection, Object Detection

2. 

   Monocular Video-Based Trailer Coupler Detection using Multiplexer Convolutional Neural Network

   Yousef Atoum, Joseph Roth, Michael Bliss, Wende Zhang, Xiaoming Liu

   This paper presents a monocular camera-based computer vision system for autonomous selfbacking-up a vehicle towards a trailer, by continuously estimating the 3D trailer coupler position and feeding it to the vehicle control system, until the alignment of the tow hitch with the trailers coupler. This system is made possible through ...

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   Keywords: Application, Object Detection

3. 

   Illuminating Pedestrians via Simultaneous Detection & Segmentation

   Garrick Brazil, Xi Yin, Xiaoming Liu

   Pedestrian detection is a critical problem in computer vision with significant impact on safety in urban autonomous driving. In this work, we explore how semantic segmentation can be used to boost pedestrian detection accuracy while having little to no impact on network efficiency. We propose a segmentation infusion network to ...

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   Keywords: Pedestrian Detection, Semantic Segmentation, Object Detection, Image Segmentation

2023

• PrObeD: Proactive Object Detection Wrapper
  Vishal Asnani, Abhinav Kumar, Suya You, Xiaoming Liu
  In Proceeding of Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS 2023), New Orleans, LA, Dec. 2023
  Bibtex | PDF | arXiv | Supplemental | Code
@inproceedings{ probed-proactive-object-detection-wrapper,
  author = { Vishal Asnani and Abhinav Kumar and Suya You and Xiaoming Liu },
  title = { PrObeD: Proactive Object Detection Wrapper },
  booktitle = { In Proceeding of Thirty-seventh Conference on Neural Information Processing Systems },
  address = { New Orleans, LA },
  month = { December },
  year = { 2023 },
}

2021

• DeepApple: Deep Learning-based Apple Detection using a Suppression Mask R-CNN
  Pengyu Chu, Zhaojian Li, Kyle Lammers, Renfu Lu, Xiaoming Liu
  Pattern Recognition Letters, Vol. 147, pp.206-211, , Sep. 2021
  Bibtex | arXiv
@article{ deepapple-deep-learning-based-apple-detection-using-a-suppression-mask-r-cnn,
  author = { Pengyu Chu and Zhaojian Li and Kyle Lammers and Renfu Lu and Xiaoming Liu },
  title = { DeepApple: Deep Learning-based Apple Detection using a Suppression Mask R-CNN },
  journal = { Pattern Recognition Letters },
  volume = { 147 },
  month = { September },
  year = { 2021 },
  pages = { 206--211 },
}

2019

• Pedestrian Detection with Autoregressive Network Phases
  Garrick Brazil, Xiaoming Liu
  In Proceeding of IEEE Computer Vision and Pattern Recognition (CVPR 2019), Long Beach, CA, Jun. 2019
  Bibtex | PDF | arXiv | Poster | Project Webpage | Code
@inproceedings{ pedestrian-detection-with-autoregressive-network-phases,
  author = { Garrick Brazil and Xiaoming Liu },
  title = { Pedestrian Detection with Autoregressive Network Phases },
  booktitle = { In Proceeding of IEEE Computer Vision and Pattern Recognition },
  address = { Long Beach, CA },
  month = { June },
  year = { 2019 },
}

2017

• Intelligent and Automatic in vivo Detection and Quantification of Transplanted Cells in MRI
  Muhammad Jamal Afridi, Arun Ross, Xiaoming Liu, Margaret Bennewitz, Dorela Shuboni, Erik M Shapiro
  Magnetic Resonance in Medicine, Vol. 78, No. 5, pp.1991-2002, , Jan. 2017
  Bibtex | PDF | Supplemental
@article{ intelligent-and-automatic-in-vivo-detection-and-quantification-of-transplanted-cells-in-mri,
  author = { Muhammad Jamal Afridi and Arun Ross and Xiaoming Liu and Margaret Bennewitz and Dorela Shuboni and Erik M Shapiro },
  title = { Intelligent and Automatic in vivo Detection and Quantification of Transplanted Cells in MRI },
  journal = { Magnetic Resonance in Medicine },
  volume = { 78 },
  number = { 5 },
  month = { January },
  year = { 2017 },
  pages = { 1991--2002 },
}
• Illuminating Pedestrians via Simultaneous Detection & Segmentation
  Garrick Brazil, Xi Yin, Xiaoming Liu
  In Proceeding of International Conference on Computer Vision (ICCV 2017), Venice, Italy, Oct. 2017
  Bibtex | PDF | arXiv | Poster | Project Webpage | Code
@inproceedings{ illuminating-pedestrians-via-simultaneous-detection-segmentation,
  author = { Garrick Brazil and Xi Yin and Xiaoming Liu },
  title = { Illuminating Pedestrians via Simultaneous Detection & Segmentation },
  booktitle = { In Proceeding of International Conference on Computer Vision },
  address = { Venice, Italy },
  month = { October },
  year = { 2017 },
}
• Monocular Video-Based Trailer Coupler Detection using Multiplexer Convolutional Neural Network
  Yousef Atoum, Joseph Roth, Michael Bliss, Wende Zhang, Xiaoming Liu
  In Proceeding of International Conference on Computer Vision (ICCV 2017), Venice, Italy, Oct. 2017
  Bibtex | PDF | Project Webpage
@inproceedings{ monocular-video-based-trailer-coupler-detection-using-multiplexer-convolutional-neural-network,
  author = { Yousef Atoum and Joseph Roth and Michael Bliss and Wende Zhang and Xiaoming Liu },
  title = { Monocular Video-Based Trailer Coupler Detection using Multiplexer Convolutional Neural Network },
  booktitle = { In Proceeding of International Conference on Computer Vision },
  address = { Venice, Italy },
  month = { October },
  year = { 2017 },
}

2015

• Automatic in vivo Cell Detection in MRI
  Muhammad Jamal Afridi, Xiaoming Liu, Erik M Shapiro, Arun Ross
  Proc. 18th Medical Image Computing and Computer Assisted Intervention (MICCAI 2015), Munich, Germany, Oct. 2015
  Bibtex | PDF
@inproceedings{ automatic-in-vivo-cell-detection-in-mri,
  author = { Muhammad Jamal Afridi and Xiaoming Liu and Erik M Shapiro and Arun Ross },
  title = { Automatic in vivo Cell Detection in MRI },
  booktitle = { Proc. 18th Medical Image Computing and Computer Assisted Intervention },
  address = { Munich, Germany },
  month = { October },
  year = { 2015 },
}

2005

• Detecting And Counting People In Surveillance Applications
  Xiaoming Liu, Peter Tu, Jens Rittscher, Amitha Perera, Nils Krahnstoever
  Proc. IEEE International Conference on Advanced Video and Signal-Based Surveillance (AVSS 2005), Como, Italy, Sep. 2005
  Bibtex | PDF
@inproceedings{ detecting-and-counting-people-in-surveillance-applications,
  author = { Xiaoming Liu and Peter Tu and Jens Rittscher and Amitha Perera and Nils Krahnstoever },
  title = { Detecting And Counting People In Surveillance Applications },
  booktitle = { Proc. IEEE International Conference on Advanced Video and Signal-Based Surveillance },
  address = { Como, Italy },
  month = { September },
  year = { 2005 },
}