DianCh

AdaContrast

Official repository of CVPR '22 paper "Contrastive Test-Time Adaptation"

Awesome-Visual-Transformer

Collect some papers about transformer with vision. Awesome Transformer with Computer Vision (CV)

CLIP

Contrastive Language-Image Pretraining

Computer_Vision_Basics

Implementation of some computer vision basics

Deep_Reinforcement_Learning

Implementation of discrete Q-Learning, and DQN, REINFORCE (discrete and continuous) with experiments on OpenAI gym models

detectron2

Detectron2 is FAIR's next-generation platform for object detection and segmentation.

HMM_Gesture_Recognition

Hidden Markov Models are trained and applied on IMU readings to recognize hand gestures.

Indoor_SLAM_for_Mobile_Robots

Implementation of LIDAR-based SLAM on 2-D grid map using particle filtering

Interactive_Computer_Graphics

Step by step projects experimenting with OpenGL under Qt 5 framework, culminating in a Mini-Minecraft interactive game.

numpy-deep-learning

A deep learning framework written from scratch using NumPy.

DianCh/AdaContrast

Official repository of CVPR '22 paper "Contrastive Test-Time Adaptation"

DianCh/numpy-deep-learning

A deep learning framework written from scratch using NumPy.

DianCh/Deep_Reinforcement_Learning

Implementation of discrete Q-Learning, and DQN, REINFORCE (discrete and continuous) with experiments on OpenAI gym models

DianCh/HMM_Gesture_Recognition

Hidden Markov Models are trained and applied on IMU readings to recognize hand gestures.

DianCh/Indoor_SLAM_for_Mobile_Robots

Implementation of LIDAR-based SLAM on 2-D grid map using particle filtering

DianCh/Interactive_Computer_Graphics

Step by step projects experimenting with OpenGL under Qt 5 framework, culminating in a Mini-Minecraft interactive game.

DianCh/Awesome-Visual-Transformer

Collect some papers about transformer with vision. Awesome Transformer with Computer Vision (CV)

DianCh/CLIP

Contrastive Language-Image Pretraining

DianCh/Computer_Vision_Basics

Implementation of some computer vision basics

DianCh/detectron2

Detectron2 is FAIR's next-generation platform for object detection and segmentation.

DianCh/GMM_Color_Segmentation

Color segmentation using Gaussian Mixture Models

DianCh/hw01-noisy-terrain

DianCh/Mask-RCNN

This is a Pytorch implementation of Mask-RCNN from scratch, such that architecture and training & eval procedures are explicit. No magic registering or templates as in higher level wrapper frameworks.

DianCh/monodepth2

Pytorch re-implementation of paper Digging Into Self-Supervised Monocular Depth Estimation

DianCh/omnidata

A Scalable Pipeline for Making Steerable Multi-Task Mid-Level Vision Datasets from 3D Scans [ICCV 2021]

DianCh/PETR

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

DianCh/Quaternion_based_UKF

Quaternion-based UKF to robustly estimate the pose, with panorama stitching to visualize the estimation

DianCh/RepDistiller

[ICLR 2020] Contrastive Representation Distillation (CRD), and benchmark of recent knowledge distillation methods

DianCh/shan_shui_inf

Procedurally understandably generated Chinese landscape painting.

DianCh/SHOT

code released for our ICML 2020 paper "Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation"

DianCh/SimMIM

This is an official implementation for "SimMIM: A Simple Framework for Masked Image Modeling".