YaohangHan

awesome-object-detection

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

Bilinear-CNN-TensorFlow

This is an implementation of Bilinear CNN for fine grained visual recognition using TensorFlow.

brpc_faiss_server

Vector Search Engine base on BRPC + FAISS

deep-learning

Repo for the Deep Learning Nanodegree Foundations program.

Deep-Model-Transfer

A method for Fine-Grained image classification

Fine_Grained_Classification

Fined grained classification On Car dataset

finegrained-pose

keypoint-network

This is an implementation of the keypoint network proposed in "Discovery of Latent 3D Keypoints via End-to-end Geometric Reasoning [pdf]". Given a single 2D image of a known class, this network can predict a set of 3D keypoints that are consistent across viewing angles of the same object and across object instances. These keypoints and their detectors are discovered and learned automatically without keypoint location supervision [demo].

machinelearninginaction

Source Code for the book: Machine Learning in Action published by Manning

maskrcnn-benchmark

Fast, modular reference implementation of Semantic Segmentation and Object Detection algorithms in PyTorch.

YaohangHan/awesome-object-detection

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

YaohangHan/Bilinear-CNN-TensorFlow

This is an implementation of Bilinear CNN for fine grained visual recognition using TensorFlow.

YaohangHan/brpc_faiss_server

Vector Search Engine base on BRPC + FAISS

YaohangHan/deep-learning

Repo for the Deep Learning Nanodegree Foundations program.

YaohangHan/Deep-Model-Transfer

A method for Fine-Grained image classification

YaohangHan/Fine_Grained_Classification

Fined grained classification On Car dataset

YaohangHan/finegrained-pose

YaohangHan/keypoint-network

This is an implementation of the keypoint network proposed in "Discovery of Latent 3D Keypoints via End-to-end Geometric Reasoning [pdf]". Given a single 2D image of a known class, this network can predict a set of 3D keypoints that are consistent across viewing angles of the same object and across object instances. These keypoints and their detectors are discovered and learned automatically without keypoint location supervision [demo].

YaohangHan/machinelearninginaction

Source Code for the book: Machine Learning in Action published by Manning

YaohangHan/maskrcnn-benchmark

Fast, modular reference implementation of Semantic Segmentation and Object Detection algorithms in PyTorch.

YaohangHan/models

Models and examples built with TensorFlow

YaohangHan/mx-DeepIM

Deep Iterative Matching for 6D Pose Estimation

YaohangHan/pvnet

Code for "PVNet: Pixel-wise Voting Network for 6DoF Pose Estimation" CVPR 2019 oral

YaohangHan/pvnet6

YaohangHan/S2S_TriggerWordsDetetion

Sequence to sequence recurrent neural network for detecting trigger word

YaohangHan/samples-for-ai

Samples for getting started with deep learning across TensorFlow, CNTK, Theano and more.

YaohangHan/singleshotpose

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).

YaohangHan/st-resnet

Code release for "Spatiotemporal Residual Networks for Video Action Recognition", NIPS16 & "Spatiotemporal Multiplier Networks for Video Action Recognition", CVPR17.

YaohangHan/supervisely-tutorials

🌈 Tutorials for Supervise.ly

YaohangHan/tensorflow-tutorial

Code and examples for Initialized's Introduction to Tensorflow Tutorial

YaohangHan/YaohangHan