Hou Lin Jie's Projects
Point Cloud Library (PCL)
[ECCV'18 Oral] PlaneMatch: Patch Coplanarity Prediction for Robust RGB-D Reconstruction
PlaneNet: Piece-wise Planar Reconstruction from a Single RGB Image
Code for 'PolarMask: Single Shot Instance Segmentation with Polar Representation'
Precise RoI Pooling with coordinate gradient support, proposed in the paper "Acquisition of Localization Confidence for Accurate Object Detection" (https://arxiv.org/abs/1807.11590).
convert dataset to coco/voc format
Code for A Programmer's Introduction to Mathematics
Progressive Growing of GANs for Improved Quality, Stability, and Variation
Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version
Codebase for Image Classification Research, written in PyTorch.
All Algorithms implemented in Python
A collection of design patterns/idioms in Python
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Pytorch code to construct a 3D point cloud model from single RGB image.
35% faster than ResNet: Harmonic DenseNet, A low memory traffic network
Pytorch implementation of LayoutNet.
PyTorch implementation of YOLOv4
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R-FCN: Object Detection via Region-based Fully Convolutional Networks
Autonomous Racing Robot With an Arduino, a Raspberry Pi and a Pi Camera
R-CNN: Regions with Convolutional Neural Network Features
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Repulsion Loss: Detecting Pedestrians in a Crowd. https://arxiv.org/abs/1711.07752
Implementation of a classification framework from the paper Aggregated Residual Transformations for Deep Neural Networks
Focal loss for Dense Object Detection
Receptive Field Block Net for Accurate and Fast Object Detection, ECCV 2018
A lightweight ConvNet (~800 KB) to classify pictures of different rooms of a house/apartment with 88.9 % accuracy
Champion of the PIRM2018 Challenge on Perceptual Image Enhancement on Smartphones (Track B: Image Enhancement)