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Name: Xiaocan Li
Type: User
Bio: PhD Candidate @ University of Toronto. Research topic: Traffic Perimeter Control via Deep Reinforcement Learning
Name: Xiaocan Li
Type: User
Bio: PhD Candidate @ University of Toronto. Research topic: Traffic Perimeter Control via Deep Reinforcement Learning
implement some algorithms of 6d pose estimation
Adaptive Graph Convolutional Recurrent Network
Official Code: Implicit 3D Orientation Learning for 6D Object Detection from RGB Images
"DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion" code repository
6D Object Pose Estimation using RGBD Data and Fast-ICP
My homepage's source code
Keras implementation of RetinaNet object detection.
My machine learning codes. PCA, SVD...
Normalized Object Coordinate Space for Category-Level 6D Object Pose and Size Estimation on Python3, Tensorflow, and Keras
Assignments of Numerical Optimization
This research project implements a real-time object detection and pose estimation method as described in the paper, Tekin et al. "Real-Time Seamless Single Shot 6D Object Pose Prediction", CVPR 2018. (https://arxiv.org/abs/1711.08848).
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