Houwen Peng     (彭厚文)

I am a researcher working on computer vision and deep learning at Microsoft Research Asia.
My current research interest includes neural architecture search, video object tracking, segmentation and detection, video content localization, saliency detection, etc.

Email: houwen.peng@microsoft.com
Address: 13423 Building 2, Microsoft, No. 5 Danling St., Haidian, Beijing 100080

If you are looking for internship opportunities, please drop me an email.

 

 

 

 

 

 


Biography: Houwen is a researcher working on computer vision and deep learning at Microsoft Research as of 2018. Before that he was a senior engineer at Qualcomm AI Research. He received Ph.D. from NLPR, Instituation of Automation, Chinese Academy of Sciences in 2016. From 2015 to 2016, he worked as a visiting research scholar at Temple University. His research interest includes neural architecture search and design, video object tracking, segmentation and detection, video moment localization, saliency detection, etc.


       News

  • 11/2020 - Our Cream NAS work was accepted by NeurIPS2020. Code is available.
  • 07/2020 - Ocean is accepted by ECCV2020. Code is available.
  • 06/2020 - We released the cyclic differentiable neural architecture search algorithm, arXiv and Code. The code supports distributed training, being fast, robust, and easy reproducible. CDARTS has integrated into Microsoft NNI AutoML platform.
  • 06/2020 - We released the object-aware anchor-free tracking algorithm (Ocean), arXiv and Code. The TracKit repo provides a toolkit for visual object tracking and segmentation, achieving competitive performance on VOT-2020 benchmark.
  • 04/2020 - A simple transductive video object segmentation approach, dubbed TVOS, was accepted by CVPR2020. Code was released!
  • 10/2019 - A coauthor paper on video moment localization, dubbed 2D-TAN, was accepted by AAAI2020. Code was merged into Microsoft Git repo. For more details, pls refer to this article.
  • 09/2019 - Our team achieved Rank #1 in HACS Temporal Action Localization Challenge at ICCV2019 workshop. Congratulations to Songyang and the team! Here is the technical report.
  • 07/2019 - Our team achieved one Winner and two Runner-ups in VOT2019 challenges. Code was released.
  • 03/2019 - Our first tracking paper, dubbed SiamDW, was accepted by CVPR2019 as an Oral. Code is available.


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