Kanav123

Kanav123's Stars

• pretzelai/pretzelai

  The modern replacement for Jupyter Notebooks

  Language:TypeScript2k140

• lh9171338/Line-Segment-Detection-Papers

  Line segment detection papers

  25630

• zhou13/lcnn

  LCNN: End-to-End Wireframe Parsing

  Language:Python51095

• lhwcv/mlsd_pytorch

  Pytorch implementation of "M-LSD: Towards Light-weight and Real-time Line Segment Detection"

  Language:Python19538

• voxel51/fiftyone

  Refine high-quality datasets and visual AI models

  Language:Python9k583

• Sentient07/HeadHunter--T

  This repository is the official implementation of HeadHunter-T, the head tracker discussed in the CVPR paper, mentioned herewith.

  Language:Python438

• wmcnally/kapao

  KAPAO is an efficient single-stage human pose estimation model that detects keypoints and poses as objects and fuses the detections to predict human poses.

  Language:Python754104

• selflein/MG-GAN

  Code for our paper "MG-GAN: A Multi-Generator Model Preventing Out-of-Distribution Samples in Pedestrian Trajectory Prediction" published at ICCV 2021.

  Language:Python4912

• amazon-science/siam-mot

  SiamMOT: Siamese Multi-Object Tracking

  Language:Python47861

• lucidrains/vit-pytorch

  Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

  Language:Python21.2k3.1k

• wmcnally/evopose2d

  EvoPose2D is a two-stage human pose estimation model that was designed using neuroevolution. It achieves state-of-the-art accuracy on COCO.

  Language:Python8410

• mks0601/PoseFix_RELEASE

  Official TensorFlow implementation of "PoseFix: Model-agnostic General Human Pose Refinement Network", CVPR 2019

  Language:Python32962

• rbgirshick/yacs

  YACS -- Yet Another Configuration System

  Language:Python1.3k91

• abduallahmohamed/Social-STGCNN

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

  Language:Python500140

• aleju/imgaug

  Image augmentation for machine learning experiments.

  Language:Python14.5k2.4k

• KevinMusgrave/pytorch-metric-learning

  The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

  Language:Python6.1k657

• pjl1995/CTracker

  Language:Python24947

• bayesian-optimization/BayesianOptimization

  A Python implementation of global optimization with gaussian processes.

  Language:Python8k1.6k

• BoPang1996/TubeTK

  Official implementation of paper: TubeTK: Adopting Tubes to Track Multi-Object in a One-Step Training Model (CVPR 2020 oral)

  Language:Python13723

• jonbarron/website

  Language:HTML2.7k2.2k

• yinjunbo/UMA-MOT

  A Unified Object Motion and Affinity Model for Online Multi-Object Tracking (CVPR2020)

  Language:Python9016

• maudzung/TTNet-Real-time-Analysis-System-for-Table-Tennis-Pytorch

  Unofficial implementation of "TTNet: Real-time temporal and spatial video analysis of table tennis" (CVPR 2020)

  Language:Python607162

• Zhongdao/Towards-Realtime-MOT

  Joint Detection and Embedding for fast multi-object tracking

  Language:Python2.4k544

• dvl-tum/mot_neural_solver

  Official PyTorch implementation of "Learning a Neural Solver for Multiple Object Tracking" (CVPR 2020 Oral).

  Language:Python34870

• vt-vl-lab/SDN

  [NeurIPS 2019] Why Can't I Dance in the Mall? Learning to Mitigate Scene Bias in Action Recognition

  Language:Python8313

• benedekrozemberczki/SGCN

  A PyTorch implementation of "Signed Graph Convolutional Network" (ICDM 2018).

  Language:Python27058

• cioppaanthony/context-aware-loss

  A Context-Aware Loss Function for Action Spotting in Soccer Videos

  Language:Jupyter Notebook327

• YingqianWang/DeOccNet

  [WACV 2020] DeOccNet: Learning to See Through Foreground Occlusions in Light Fields

  6813

• ifzhang/FairMOT

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

  Language:Python4k932

• reallongnguyen/Optical-Flow-Guided-Feature

  Code for paper: Optical Flow Guided Feature: A Fast and Robust Motion Representation for Video Action Recognition

  Language:Python2811