xychenunc Goto Github PK
Name: Xiaoyang Chen
Type: User
Bio: I am now a Ph.D. student of University of North Carolina at Chapel Hill.
Location: Chapel Hill, USA
Xiaoyang Chen's Projects
detectandtrack
The implementation of an algorithm presented in the CVPR18 paper: "Detect-and-Track: Efficient Pose Estimation in Videos"
detection-2016-nipsws
Hierarchical Object Detection with Deep Reinforcement Learning
detectron
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
detectron-cascade-rcnn
Cascade R-CNN in Detectron
dextr-pytorch
Deep Extreme Cut http://www.vision.ee.ethz.ch/~cvlsegmentation/dextr
drl_in_cv_papers
Research publications in Computer Vision Journals and Conferences (and arxiv) using RL.Visit Website:
dsb2018_topcoders
DSB2018 [ods.ai] topcoders
dwt
Deep Watershed Transform for Instance Segmentation
dynet
DyNet: The Dynamic Neural Network Toolkit
emanet
The code for Expectation-Maximization Attention Networks for Semantic Segmentation (ICCV'2019 Oral)
faster-rcnn.pytorch
A faster pytorch implementation of faster r-cnn
faster-rcnn_tf
Faster-RCNN in Tensorflow
faster_rcnn
Faster R-CNN
fastmaskrcnn
Mask RCNN in TensorFlow
fcis
Fully Convolutional Instance-aware Semantic Segmentation
fpn.pytorch
Pytorch implementation of Feature Pyramid Network (FPN) for Object Detection
framework-determinism
Providing determinism in deep learning frameworks
generative-models
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
gluon-cv
Gluon CV Toolkit
gpflow
Gaussian processes in TensorFlow
gputil
A Python module for getting the GPU status from NVIDA GPUs using nvidia-smi programmically in Python
grf
Generalized Random Forests
guided-denoise
The winning submission for NIPS 2017: Defense Against Adversarial Attack of team TSAIL
gym
A toolkit for developing and comparing reinforcement learning algorithms.
hed
code for Holistically-Nested Edge Detection
ilfpt
Integrated Learning Framework for Pedestrian Tracking
improved-gan
code for the paper "Improved Techniques for Training GANs"
incubator-mxnet
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
inplace_abn
In-Place Activated BatchNorm for Memory-Optimized Training of DNNs
kaggle-hpa
Code for 3rd place solution in Kaggle Human Protein Atlas Image Classification Challenge.
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