kevinlemon

kevinlemon's Stars

• labuladong/fucking-algorithm

  刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.

  Language:Markdown126k2.3k86123.3k

• ifzhang/FairMOT

  [IJCV-2021] FairMOT: On the Fairness of Detection and Re-Identification in Multi-Object Tracking

  Language:Python4k84526930

• makelove/OpenCV-Python-Tutorial

  OpenCV问答群不再维护。有问题，自己去搜索。Google能找到大部分答案。

  Language:Python3.4k115131.1k

• Zhongdao/Towards-Realtime-MOT

  Joint Detection and Embedding for fast multi-object tracking

  Language:Python2.4k55244544

• huanghoujing/AlignedReID-Re-Production-Pytorch

  Reproduce AlignedReID: Surpassing Human-Level Performance in Person Re-Identification, using Pytorch.

  Language:Python6414479191

• fjchange/awesome-video-anomaly-detection

  Papers for Video Anomaly Detection, released codes collection, Performance Comparision.

  5983111102

• abduallahmohamed/Social-STGCNN

  Code for "Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction" CVPR 2020

  Language:Python4991368140

• donggong1/memae-anomaly-detection

  MemAE for anomaly detection. -- Gong, Dong, et al. "Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection". ICCV 2019.

  Language:Python4712033104

• shijieS/SST

  Single Shot Tracker

  Language:Python399155397

• MCG-NKU/SCNet

  The official PyTorch implementation of CVPR 2020 paper "Improving Convolutional Networks with Self-Calibrated Convolutions"

  Language:Python38072270

• HarshayuGirase/Human-Path-Prediction

  State-of-the-art methods for human trajectory forecasting. Contains code for papers published at ECCV 2020 and ICCV 2021.

  Language:Jupyter Notebook354116181

• cvlab-yonsei/MNAD

  An official implementation of "Learning Memory-guided Normality for Anomaly Detection" (CVPR 2020) in PyTorch.

  Language:Python342135881

• cuishuhao/BNM

  code of Towards Discriminability and Diversity: Batch Nuclear-norm Maximization under Label Insufficient Situations (CVPR2020 oral)

  Language:Python26691332

• val-iisc/lsc-cnn

  Language:Python211213555

• seljukgulcan/comparing-trajectory-clustering-methods

  Comparing Different Clustering Methods and Similarity Metrics on Trajectory Datasets

  Language:Python1766848

• wjchaoGit/Group-Activity-Recognition

  CVPR 2019 Paper - Learning Actor Relation Graphs for Group Activity Recognition

  Language:Python17282337

• IIT-PAVIS/Social-Distancing

  Code for estimating social distances from RGB cameras.

  Language:Python138131956

• bednarikjan/TrajectoryClustering

  This application written in Python is capable of fully automatic clustering of 2D trajectory data.

  Language:Python1095336

• yuguangnudt/VEC_VAD

  Cloze Test Helps: Effective Video Anomaly Detection via Learning to Complete Video Events. Oral paper in ACM Multimedia 2020.

  Language:Python9642218

• feiyuhuahuo/Anomaly_Prediction

  Pytorch implementation of anomaly prediction.

  Language:Python7843022

• lyn1874/memAE

  unofficial implementation of paper Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder (MemAE) for Unsupervised Anomaly Detection

  Language:Python7131625

• JudyYe/CVP

  Compositional Video Prediction (ICCV19)

  Language:Python62239

• fjchange/pytorch_ano_pre

  Pytorch Re-implement of ano_pre_cvpr2018, flownet2 / lite-flownet used.

  Language:Python4931120

• francescosolera/group-detection

  Structured learning for social group detection in crowds

  Language:MATLAB392014

• svip-lab/RGBD-Counting

  RGBD crowd counting

  Language:Python39483

• yjadaa/KLT

  Kanade–Lucas–Tomasi (KLT) feature tracker (MATLAB)

  231015

• florianG37/PRD_rPPG_method_3DCNN

  Task 1 Research and Development Project : Development of a new rPPG method (3DCNN) to be integrated into the pyVHR framework

  Language:Jupyter Notebook21103

• hli151/Object-Tracking

  Main use to store some object trackiing code

  Language:MATLAB11102

• lyn1874/anomaly_detection_under_varying_visibility

  Anomaly detection in the surveillance videos under varying visibility (day-night and sunny-rainy)

  Language:Python8211

• KegangWangCCNU/PhysBench

  A large-scale training and benchmarking framework for rPPG.

  1100