ziyingTan

ziyingTan's Stars

• mmlab-cv/Group-Obstacle-LSTM

  Code for the papers Group-LSTM (ECCV2018) and Group-Obstacle-LSTM (CVIU2020).

  Language:Python64

• crest-cassia/CrowdWalk

  pedestrian simulator

  Language:Java173

• erizmr/SPH_Taichi

  A high-performance implementation of SPH in Taichi.

  Language:Python20741

• jason-huang03/SPH_Project

  SPH Realization of Fluid Simulation. Featuring Large Scale Simulation, Rigid-Fluid Coupling and High Viscosity Fluid.

  Language:Python1349

• tsinghua-fib-lab/SPDiff

  Language:Python123

• ctorney/abc-graph-nets

  GP-accelerated ABC with GNN generated summary statistics

  Language:Jupyter Notebook5

• 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 Notebook34881

• kaixindelele/ChatPaper

  Use ChatGPT to summarize the arXiv papers. 全流程加速科研，利用chatgpt进行论文全文总结+专业翻译+润色+审稿+审稿回复

  Language:Python18.4k1.9k

• Behtash-BehinAein/Destination_Prediction

  Predict user destination based on past trips

  Language:Jupyter Notebook3

• my-HenryS/multi-agent-simulation

  A ready-to-use pedestrian simulation platform

  Language:Java247

• fbia/Taxi-prediction-EchoStateNetwork

  A Python implementation of a Recurrent Neural Network, Echo State Network (ESN) to predict the end destination of a Taxi, given its partial trajectory.

  Language:Python64

• dk-liang/AutoScale

  [IJCV 22] An implementation of AutoScale localization-based method

  Language:Python267

• anders9ustafsson/cscobyla

  C# port of COBYLA2 nonlinear constrained optimization method

  Language:C#53

• cureos/jcobyla

  Java port of COBYLA2 nonlinear constrained optimization method

  Language:Java3517

• ZhihengCV/Bayesian-Crowd-Counting

  Official Implement of ICCV 2019 oral paper Bayesian Loss for Crowd Count Estimation with Point Supervision

  Language:Python33084

• leeyeehoo/CSRNet-pytorch

  CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes

  Language:Jupyter Notebook651260

• Neerajj9/CSRNet-keras

  Implementation of the CSRNet paper (CVPR 18) in keras-tensorflow

  Language:Jupyter Notebook11344

• ZhengPeng7/SANet-Keras

  Implement SANet for crowd counting in Keras.

  Language:Jupyter Notebook4115

• stevewongv/SPANet

  Spatial Attentive Single-Image Deraining with a High Quality Real Rain Dataset (CVPR'19)

  Language:Jupyter Notebook20654

• enningxie/scnn

  switch_cnn for crowd counting

  Language:Python62

• svishwa/crowdcount-mcnn

  Single Image Crowd Counting via MCNN (Unofficial Implementation)

  Language:Python509180

• ziyingTan/Image_Video_Processing-Matlab

  Matlab script for image and video processing. (In SJTU PAMI Lab 2012.09-2015.03)

  1

• jindongwang/transferlearning

  Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

  Language:Python13.4k3.8k