yanghhx

yanghhx's Stars

• Forest-art/DFSP

  Language:Python15

• simonzmliu/cvpr23_mlzsl

  Language:Python32

• LeapLabTHU/Dynamic_Perceiver

  Official implementation of Dynamic Perceiver

  Language:Python392

• hongfz16/HCMoCo

  [CVPR 2022 Oral] Versatile Multi-Modal Pre-Training for Human-Centric Perception

  Language:Python1177

• WZMIAOMIAO/deep-learning-for-image-processing

  deep learning for image processing including classification and object-detection etc.

  Language:Python22.4k7.9k

• steb6/ISBFSAR

  Interactive Skeleton Based Few Shot Action Recognition

  Language:Python142

• eunseo-v/SkeletonCLIP

  Language:Python51

• ZZFCV/SASOiCLR

  This is an official PyTorch implementation of "Temporal-Masked Skeleton Based Action Recognition With Supervised Contrastive Learning".

  Language:Python3

• southwestCat/railbot

  Language:C++5

• KevinQian97/JigsawNet

  This is the official implementation of Rethinking Zero-shot Action Recognition: Learning from Latent Atomic Actions (ECCV22)

  Language:Python6

• zhihou7/BatchFormer

  CVPR2022, BatchFormer: Learning to Explore Sample Relationships for Robust Representation Learning, https://arxiv.org/abs/2203.01522

  Language:Python24320

• MartinXM/GAP

  official implementation for Language Supervised Training for Skeleton-based Action Recognition

  Language:Python9310

• tomgoldstein/loss-landscape

  Code for visualizing the loss landscape of neural nets

  Language:Python2.8k393

• jacobgil/pytorch-grad-cam

  Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

  Language:Python10.2k1.5k

• eastmountyxz/Python-for-Data-Mining

  该资源为作者在CSDN的撰写Python数据挖掘和数据分析文章的支撑，主要是Python实现数据挖掘、机器学习、文本挖掘等算法代码实现，希望该资源对您有所帮助，一起加油。

  Language:Python12453

• yysijie/st-gcn

  Spatial Temporal Graph Convolutional Networks (ST-GCN) for Skeleton-Based Action Recognition in PyTorch

  Language:Python1.5k334

• Yonv1943/Python

  Demo and other Python3 code

  Language:Python661355

• PIC4SeR/AcT

  Official code for "Action Transformer: A Self-attention Model for Short-time Pose-based Human Action Recognition", Pattern Recognition (2022).

  Language:Python6815

• kjunelee/MetaOptNet

  Meta-Learning with Differentiable Convex Optimization (CVPR 2019 Oral)

  Language:Python52396

• EmbarkStudios/texture-synthesis

  🎨 Example-based texture synthesis written in Rust 🦀

  Language:Rust1.8k83

• 52CV/CV-Surveys

  计算机视觉相关综述。包括目标检测、跟踪........

  1.8k241

• facebookresearch/SlowFast

  PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.

  Language:Python6.5k1.2k

• LinguoLi/CrosSCLR

  The Official PyTorch implementation of "3D Human Action Representation Learning via Cross-View Consistency Pursuit" in CVPR 2021

  Language:Python6520

• extreme-assistant/CVPR2024-Paper-Code-Interpretation

  cvpr2024/cvpr2023/cvpr2022/cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集，极市团队整理

  12.4k2.3k

• yassouali/awesome-semi-supervised-learning

  😎 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.

  1.8k224

• Levigty/AimCLR

  This is an official PyTorch implementation of "Contrastive Learning from Extremely Augmented Skeleton Sequences for Self-supervised Action Recognition" in AAAI2022.

  Language:Python6214

• niais/Awesome-Skeleton-based-Action-Recognition

  Skeleton-based Action Recognition

  Language:HTML672124

• facebookresearch/fairseq

  Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

  Language:Python30.2k6.4k

• google-deepmind/deepmind-research

  This repository contains implementations and illustrative code to accompany DeepMind publications

  Language:Jupyter Notebook13.1k2.6k

• candycat1992/Unity_Shaders_Book

  :book: 书籍《Unity Shader入门精要》源代码

  Language:ShaderLab5.4k1.6k