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Menglong Zhu's Homepage - Computer Vision & Robotics

Menglong AT google.com. I'm currently working on some cool Deep Learning stuff at Google. As a core team member of G-RMI, we just won the 2016 COCO detection challenge. 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. International Conference on...

http://dreamdragon.github.io/

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Menglong Zhu's Homepage - Computer Vision & Robotics | dreamdragon.github.io Reviews
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Menglong AT google.com. I'm currently working on some cool Deep Learning stuff at Google. As a core team member of G-RMI, we just won the 2016 COCO detection challenge. 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. International Conference on...
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Menglong Zhu's Homepage - Computer Vision & Robotics | dreamdragon.github.io Reviews

https://dreamdragon.github.io

Menglong AT google.com. I'm currently working on some cool Deep Learning stuff at Google. As a core team member of G-RMI, we just won the 2016 COCO detection challenge. 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. International Conference on...

INTERNAL PAGES

dreamdragon.github.io dreamdragon.github.io
1

3D Object Detection and Pose Estimation

http://dreamdragon.github.io/outdoor-3d-objects.html

3D Object Detection and Pose Estimation for Grasping. We present a novel approach for detecting objects and. Estimating their 3D pose in single images of cluttered scenes. We demonstrate successful grasps using our detection. And pose estimate with a PR2 robot. Outdoor dataset with annotations will be available soon. Pose estimation code will be available soon. Menglong AT cis.upenn.edu. GRASP Lab, University of Pennsylvania.

2

Menglong Zhu's Homepage - Computer Vision & Robotics

http://dreamdragon.github.io/index.html

Menglong AT google.com. I'm currently working on some cool Deep Learning stuff at Google. As a core team member of G-RMI, we just won the 2016 COCO detection challenge. 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. International Conference on...

3

Penn Action by dreamdragon

http://dreamdragon.github.io/PennAction

Action Dataset with human body joints for all frames! Download .tar.gz. Introducing the Penn Action Dataset. Penn Action Dataset (University of Pennsylvania) contains 2326 video sequences of 15 different actions and human joint annotations. For each sequence. The dataset is available for download. Via the following link:. Https:/ upenn.box.com/PennAction. Dataset At a Glance. If you use our dataset, please cite the following paper:. The dataset is organized in the following format:. Annotation = action: ...

4

2D-planning

http://dreamdragon.github.io/2D-planning

A* search on 2D map, quadtree and grid. View 2D-planning on GitHub. Path planning package. Two approaches are implemented in this package. Decomposition over the map. Uniform grid over map. Planning algorithm is A* search. Video demo of quadtree decomposition:. Http:/ www.youtube.com/watch? Visualization in ROS in rviz. Cmake file is provided. $ cmake . $ make. Run planner which generate intermidiate text file for output. This implementaion assume obstacles are all circles. Theme by Jon Rohan.

5

ADPM

http://dreamdragon.github.io/ADPM

Fast object detector - Active Deformable Part Models. Download this project as a .zip file. Download this project as a tar.gz file. Active Deformable Part Models is an active approach for part-based object detection, which optimizes the order of part filter evaluations and the time at which to stop and make a prediction. During inference, a learned policy is used as a look-up table to choose the part order and the stopping time based on the observed filter responses. Note: You can comment out. Image file...

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Menglong AT google.com. I'm currently working on some cool Deep Learning stuff at Google. As a core team member of G-RMI, we just won the 2016 COCO detection challenge. 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. International Conference on...

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