superchongcnn

3D-ResNets-PyTorch

3D ResNets for Action Recognition (CVPR 2018)

3Dreconstruction

3D reconstruction, sfm with Python3

3RScan

3RScan Toolkit

aima-exercises

Exercises for the book Artificial Intelligence: A Modern Approach

aima-java

Java implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

aima-python

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

annotated_deep_learning_paper_implementations

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

approachingalmost

Approaching (Almost) Any Machine Learning Problem

awesome-computer-vision

A curated list of awesome computer vision resources

awesome-research-proposals-guide

A guide to improve your research proposals.

superchongcnn/Depth-Anything-V2

Depth Anything V2. A More Capable Foundation Model for Monocular Depth Estimation

superchongcnn/annotated_deep_learning_paper_implementations

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

superchongcnn/tesseract

Tesseract Open Source OCR Engine (main repository)

superchongcnn/IID-SfmLearner

[JBHI2024] Image Intrinsic-Based Unsupervised Monocular Depth Estimation in Endoscopy

superchongcnn/Open3D

Open3D: A Modern Library for 3D Data Processing

superchongcnn/Depth-Anything

[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation

superchongcnn/DistDepth

Repository for "Toward Practical Monocular Indoor Depth Estimation" (CVPR 2022)

superchongcnn/CMMCAN

superchongcnn/transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

superchongcnn/LightGlue

LightGlue: Local Feature Matching at Light Speed (ICCV 2023)

superchongcnn/CVPR2023-Papers-with-Code

CVPR 2023 论文和开源项目合集

superchongcnn/awesome-transformers-in-medical-imaging

A collection of resources on applications of Transformers in Medical Imaging.

superchongcnn/approachingalmost

Approaching (Almost) Any Machine Learning Problem

superchongcnn/ml-aspanformer

superchongcnn/SAGE-SLAM

Official repo for the paper "SAGE: SLAM with Appearance and Geometry Prior for Endoscopy" (ICRA 2022)

superchongcnn/pyradiomics

Open-source python package for the extraction of Radiomics features from 2D and 3D images and binary masks. Support: https://discourse.slicer.org/c/community/radiomics

superchongcnn/ekf-imu-depth

[ECCV 2022] Towards Scale-Aware, Robust, and Generalizable Unsupervised Monocular Depth Estimation by Integrating IMU Motion Dynamics

superchongcnn/weakly-polyp

[MICCAI'22] 基于对比学习和视觉Transformer的弱监督视频肠息肉检测Contrastive Transformer-based Multiple Instance Learning for Weakly Supervised Polyp Frame Detection.

superchongcnn/ECCV2022-Papers-with-Code-Demo

收集 ECCV 最新的成果，包括论文、代码和demo视频等，欢迎大家推荐！

superchongcnn/SuperGluePretrainedNetwork

SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)

superchongcnn/MICCAI2022_paper_with_code

MICCAI 2022 Paper with Code

superchongcnn/RepVGG

RepVGG: Making VGG-style ConvNets Great Again

superchongcnn/medical_dataset

医学影像数据集列表 『An Index for Medical Imaging Datasets』

superchongcnn/d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被60个国家的400所大学用于教学。

superchongcnn/MPS-Net_release

Official implementation of CVPR2022 paper "Capturing Humans in Motion: Temporal-Attentive 3D Human Pose and Shape Estimation from Monocular Video"

superchongcnn/PETR

[ECCV2022] PETR: Position Embedding Transformation for Multi-View 3D Object Detection

superchongcnn/MaGNet

(CVPR 2022 - oral) Multi-View Depth Estimation by Fusing Single-View Depth Probability with Multi-View Geometry

superchongcnn/OmniFusion

superchongcnn/computervision-recipes

Best Practices, code samples, and documentation for Computer Vision.

superchongcnn/DenseDescriptorLearning-Pytorch

Official Repo for the paper "Extremely Dense Point Correspondences using a Learned Feature Descriptor" (CVPR 2020)