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xuepo99's Projects

caffe icon caffe

Caffe: a fast open framework for deep learning.

cvpr17 icon cvpr17

Gaze Embeddings for Zero-Shot Image Classification CVPR17

cvpr2016 icon cvpr2016

Learning Deep Representations of Fine-grained Visual Descriptions

densenet icon densenet

Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).

detectandtrack icon detectandtrack

The implementation of an algorithm presented in the CVPR18 paper: "Detect-and-Track: Efficient Pose Estimation in Videos"

eccv16-taxonomy icon eccv16-taxonomy

Code for ECCV 2016 paper, Taxonomy-Regularized Semantic Deep Convolutional Neural Networks

examples icon examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

gans-collection.torch icon gans-collection.torch

Torch implementation of various types of GAN (e.g. DCGAN, ALI, Context-encoder, DiscoGAN, CycleGAN)

goturn icon goturn

Source code for paper: Learning to Track at 100 FPS with Deep Regression Networks, Held, et al. ECCV 2016

hierse icon hierse

Zero-shot image tagging by hierarchical semantic embedding

labelimg icon labelimg

:metal: LabelImg is a graphical image annotation tool and label object bounding boxes in images

learning_to_compare icon learning_to_compare

Demo for the paper titled "Learning to Compare: Relation Network for Few-Shot Learning"

lsda icon lsda

Large scale detection through adaptation

neuraltalk icon neuraltalk

NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.

nmts icon nmts

Neural Machine Translation (attention and zero-shot)

openface icon openface

Face recognition with Google's FaceNet deep neural network.

openface-1 icon openface-1

OpenFace – a state-of-the art open source tool intended for facial landmark detection, head pose estimation, facial action unit recognition, and eye-gaze estimation.

order-embedding icon order-embedding

Implementation of caption-image retrieval from the paper "Order-Embeddings of Images and Language"

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