CV      Contact: menglong AT google.com

I'm currently at Google working on many interesting Computer Vision & Deep Learning problems. I am a core team member of Google's winning entry in 2016 COCO detection challenge. Try out our open-source Tensorflow Object Detection API!

Before joining Google, I obtained a PhD degree in Computer Information Science in 2016, at GRASP Lab, University of Pennsylvania, advised by Kostas Daniilidis. I received a Master's degree in Robotics from the University of Pennsylvania in 2012 and a Bachelor's degree in Computer Science from Fudan University in 2010.

My research interests are Computer Vision, Robotics and Machine Learning, especially in object detection & recognition, human pose estimation, action recognition, visual SLAM and text recognition.

@InProceedings{ZhuADPM2014,
  author    = {M. Zhu and N. Atanasov and G. Pappas and K. Daniilidis},
  title     = {{Active Deformable Part Models Inference}},
  year      = {2014},
  booktitle = {European Conference on Computer Vision (ECCV)}
}         

@Article{Atanasov_SemanticLocalization_IJRR15,
  author = {N. Atanasov and M. Zhu and K. Daniilidis and G. Pappas},
  title = {{Localization from Semantic Observations via the Matrix Permanent}},
  year = {2015},
  journal = {International Journal of Robotics Research}
}         

@InProceedings{Atanasov_SemanticLocalization_RSS14,
  author = {N. Atanasov and M. Zhu and K. Daniilidis and G. Pappas},
  title = {{Semantic Localization Via the Matrix Permanent}},
  year = {2014},
  booktitle={Robotics: Science and Systems (RSS)}
}         

@article{zhu2014grasping,
  title     = {Single Image 3D Object Detection 
               and Pose Estimation for Grasping},
  author    = {Zhu, Menglong and Derpanis, Konstantinos G 
               and Yang, Yinfei and Brahmbhatt, Samarth 
               and Zhang, Mabel and Phillips, Cody 
               and Lecce, Matthieu and Daniilidis, Kostas}
  booktitle = {International Conference on Robotics and Automation}
  year      = {2014} 
}         

@inproceedings{zhang2013actemes,
  title     = {From Actemes to Action: A Strongly-supervised 
               Representation for Detailed Action Understanding},
  author    = {Zhang, Weiyu and Zhu, Menglong 
               and Derpanis, Konstantinos G},
  booktitle = {International Conference on Computer Vision},
  pages     = {2248--2255},
  year      = {2013},
}         

@inproceedings{zhu2012monocular,
  title     = {Monocular visual odometry and dense 3d 
               reconstruction for on-road vehicles},
  author    = {Zhu, Menglong and Ramalingam, Srikumar 
               and Taguchi, Yuichi and Garaas, Tyler},
  booktitle = {European Conference on Computer Vision, 
               Workshops and Demonstrations},
  pages     = {596--606},
  year      = {2012},
}         

Method and System for Determining Poses of Vehicle-Mounted Cameras
for In-Road Obstacle Detection, US 20140037136 A1.
M. Zhu, S. Ramalingam and Y. Taguchi, [Link]

April 09, 2014, VASC Seminar at CMU