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Jinglin Xu

Elite
@xujinglin

Professor

xujinglin.github.io/

FineDiving. FineDiving: A Fine-grained Dataset for Procedure-aware Action Quality Assessment

153

MVASM. The code of "Multi-view K-Means Clustering with Adaptive Sparse Memberships and Weight Allocation". TKDE 2020

29

MvNNcor. The code of "Deep Embedded Complementary and Interactive Information for Multi-view Classification", AAAI 2020.

12

TS-LSTM. Skeleton-based Action Recognition using TS-LSTM model

2

xujinglin.github.io. HTML

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DeepLearning-500-questions. 深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06

2

pytorch-siamese. Siamese Network implementation using Pytorch

2

Activity-Recognition-with-CNN-and-RNN. Temporal Segments LSTM and Temporal-Inception for Activity Recognition

1

keras-io. Keras documentation, hosted live at keras.io

1

activitynet-2016-cvprw. Tools to participate in the ActivityNet Challenge 2016 (NIPSW 2016)

1

imbalanced-semi-self. [NeurIPS 2020] Semi-Supervision (Unlabeled Data) & Self-Supervision Improve Class-Imbalanced / Long-Tailed Learning

1

PennAction. Penn Action Dataset, with human body joints for all frames!

1

ActionRecognition. Explore Action Recognition

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google-research. Google Research

1

TimestampActionSeg. Python

1

CutMix-PyTorch. Official Pytorch implementation of CutMix regularizer

1

unsup_temp_embed. Official implementation of the paper: Unsupervised learning of action classes with continuous temporal embedding (CVPR'19)

1

VideoGPT. Python

1

soft-dtw. Python implementation of soft-DTW.

1

MTL-AQA. What and How Well You Performed? A Multitask Learning Approach to Action Quality Assessment

1

Mask_RCNN. Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

1

introRL. Intro to Reinforcement Learning (强化学习纲要）

1

ImageCompletion-DCGAN. Image completion using deep convolutional generative adversarial nets in tensorflow

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nndl.github.io. 《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning

1

3D-Machine-Learning. A resource repository for 3D machine learning

1

deep-person-reid. Torchreid: Deep learning person re-identification in PyTorch.

1

2D-TAN-1. AAAI‘20 - Learning 2D Temporal Localization Networks for Moment Localization with Natural Language

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CMCS-Temporal-Action-Localization. Completeness Modeling and Context Separation for Weakly Supervised Temporal Action Localization (CVPR2019)

1

MVGCN. Multi-View Graph Convolutional Network and Its Applications on Neuroimage Analysis for Parkinson's Disease (AMIA 2018)

1

mvcnn. Multi-view CNN (MVCNN) for shape recognition

1

3dcnn.torch. Volumetric CNN for feature extraction and object classification on 3D data.

1

MS-G3D. PyTorch implementation of "Disentangling and Unifying Graph Convolutions for Skeleton-Based Action Recognition", CVPR 2020

1

GNNPapers. Must-read papers on graph neural networks (GNN)

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awesome-reid-dataset. Collection of public available person re-identification datasets

1

ClusterGCN. A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).

1

SimGNN. A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).

1

pytorch_geometric. Geometric Deep Learning Extension Library for PyTorch

1

TFusion. CVPR2018: Unsupervised Cross-dataset Person Re-identification by Transfer Learning of Spatio-temporal Patterns

1

Cross-Modal-Re-ID-baseline. Pytorch Code for Cross-Modality Person Re-Identification (Visible Thermal Re-ID)

1

PGCN. Graph Convolutional Networks for Temporal Action Localization (ICCV2019)

1

deepfeatinterp. Deep Feature Interpolation (CVPR 2017)

1

video-nonlocal-net. Non-local Neural Networks for Video Classification

1

DCCA. An implementation of Deep Canonical Correlation Analysis (DCCA) in Keras with tf backend.

1

Graph-CNN-in-3D-Point-Cloud-Classification. Code for A GRAPH-CNN FOR 3D POINT CLOUD CLASSIFICATION (ICASSP 2018)

1

vision. Datasets, Transforms and Models specific to Computer Vision

1

WB_color_augmenter. Emulating white balance effects for color augmentation

1

mxnet_center_loss. implement center loss operator for mxnet

1

3DDescriptorNet. Learning Descriptor Networks for 3D Shape Synthesis and Analysis

1

mvcnn_pytorch. MVCNN on PyTorch

1

NTURGB-D. Info and sample codes for "NTU RGB+D Action Recognition Dataset"

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moments_models. The pretrained models trained on Moments in Time Dataset

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a_journey_into_math_of_ml. 汉语自然语言处理视频教程-开源学习资料

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NetDissect. Network Dissection http://netdissect.csail.mit.edu for quantifying interpretability of deep CNNs.

1

Dr.Sure. 🏫DeepLearning学习笔记以及Tensorflow、Pytorch的使用心得笔记。Dr. Sure会不定时往项目中添加他看到的最新的技术，欢迎批评指正。

1

NetDissect-Lite. Light version of Network Dissection for Quantifying Interpretability of Networks

1