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137 search results found

Realtime_multi Person_pose_estimation ⭐ 5,083

Code repo for realtime multi-person pose estimation in CVPR'17 (Oral)

👨 Code for "Large Pose 3D Face Reconstruction from a Single Image via Direct Volumetric CNN Regression"

Awesome Low Light Image Enhancement ⭐ 1,101

This is a resouce list for low light image enhancement

Matlab Simulink Challenge Project Hub ⭐ 932

This MATLAB and Simulink Challenge Project Hub contains a list of research and design project ideas. These projects will help you gain practical experience and insight into technology trends and industry directions.

Awesome_deep_learning_interpretability ⭐ 699

深度学习近年来关于神经网络模型解释性的相关高引用/顶会论文(附带代码)

Siamese Fc ⭐ 552

Arbitrary object tracking at 50-100 FPS with Fully Convolutional Siamese networks.

[CVPR'17] Training a Correlation Filter end-to-end allows lightweight networks of 2 layers (600 kB) to high performance at fast speed..

Exclusively Dark Image Dataset ⭐ 461

Exclusively Dark (ExDARK) dataset which to the best of our knowledge, is the largest collection of low-light images taken in very low-light environments to twilight (i.e 10 different conditions) to-date with image class and object level annotations.

Srcnn Tensorflow ⭐ 435

Image Super-Resolution Using Deep Convolutional Networks in Tensorflow https://arxiv.org/abs/1501.00092v3

Fashion Detection ⭐ 431

Fashion Detection in the Wild (Deep Clothes Detector)

ImageNet 2015 Object Detection from Video (VID)

Fashion Landmarks ⭐ 327

Fashion Landmark Detection in the Wild

V2v Posenet_release ⭐ 324

Official Torch7 implementation of "V2V-PoseNet: Voxel-to-Voxel Prediction Network for Accurate 3D Hand and Human Pose Estimation from a Single Depth Map", CVPR 2018

Multi-view CNN (MVCNN) for shape recognition

Contrast Enhancement Techniques for low-light images

Wb_srgb ⭐ 240

White balance camera-rendered sRGB images (CVPR 2019) [Matlab & Python]

Anms Codes ⭐ 224

Efficient adaptive non-maximal suppression algorithms for homogeneous spatial keypoint distribution

[CVPR'16] Staple: Complementary Learners for Real-Time Tracking"

3dmmasstn ⭐ 194

MatConvNet implementation for incorporating a 3D Morphable Model (3DMM) into a Spatial Transformer Network (STN)

Dynamic Image Nets ⭐ 153

Dynamic Image Networks for Action Recognition

Weakly Supervised Panoptic Segmentation ⭐ 152

Weakly- and Semi-Supervised Panoptic Segmentation (ECCV18)

Wb_color_augmenter ⭐ 147

WB color augmenter improves the accuracy of image classification and image semantic segmentation methods by emulating different WB effects (ICCV 2019) [Python & Matlab].

Fall Detection ⭐ 144

Human Fall Detection from CCTV camera feed

Matlab Gan ⭐ 125

MATLAB implementations of Generative Adversarial Networks -- from GAN to Pixel2Pixel, CycleGAN

Fusionseg ⭐ 106

Video Object Segmentation

Stackexchangecodes ⭐ 100

Codes related to answers on StackExchange Network.

L1stabilizer ⭐ 86

🎥 Video stabilization using L1-norm optimal camera paths.

Certifiablyrobustperception ⭐ 80

Certifiable Outlier-Robust Geometric Perception

Diffusion Retrieval ⭐ 74

Efficient Diffusion on Region Manifolds: Recovering Small Objects with Compact CNN Representations

Reference implementation of the Visual Tracking eXchange protocol.

Cie_xyz_net ⭐ 68

PyTorch & Matlab code for the paper: CIE XYZ Net: Unprocessing Images for Low-Level Computer Vision Tasks (TPAMI 2021).

Pybrisque ⭐ 63

A python implementation of BRISQUE Image Quality Assessment

Matlab Mat file read and write C++ class with OpenCV bindings. Matlab is used a lot in computer vision, and people often share Matlab code or data in Mat-file storage. This small project gives OpenCV users the ability to read and write Mat files natively in C++

Marching Primitives ⭐ 60

[CVPR2023 Highlight] Marching-Primitives: Shape Abstraction from Signed Distance Function

Rotation_coordinate_descent ⭐ 52

(CVPR 2020 Oral) A fast global rotation averaging algorithm.

Computer Vision And Ai ⭐ 50

A collection of computer vision and artificial intelligence projects

Motion Averaging

Realismcnn ⭐ 48

code for predicting and improving visual realism in composite images

Meshmonk ⭐ 47

Open mesh-to-mesh registration framework

Hog Pedestrian Detector ⭐ 46

MATLAB implementation of a basic HOG + SVM pedestrian detector.

Vgg Multiple View Geometry ⭐ 45

A set of MATLAB utilities for multiple view geometry, provided alongside Hartley & Zisserman's "Multiple View Geometry in Computer Vision, Second Edition" (2004). Obtained from http://www.robots.ox.ac.uk/~vgg/hzbook/code/.

Placerecognition Loopdetection ⭐ 44

Light-weight place recognition and loop detection using road markings

Dhde_cvpr17 ⭐ 43

A Unified Approach of Multi-scale Deep and Hand-crafted Features for Defocus Estimation

Photometric Stereo ⭐ 38

A MATLAB Implementation of the Basic Photometric Stereo Algorithm

An implementation of AANAP in CVPR 2015 paper.

Code for Brute-Force Facial Landmark Analysis With A 140,000-Way Classifier 😃

Pretrained Yolo V4 ⭐ 36

Object detection and transfer learning using pretrained YOLO v4 models in MATLAB.

Eventbasedvisualodometry ⭐ 34

Implementation of Event-Based Visual Odometry algorithm - Group project for 16-720 Computer Vision / 16-833 SLAM

Deep Cooc ⭐ 33

Deep Co-occurrence Feature Learning for Visual Object Recognition (CVPR 2017)

Robust Local Optical Flow (RLOF)

Semantic Color Constancy Using Cnn ⭐ 31

Semantic information can help CNNs to get better illuminant estimation -- a proof of concept

Sensor-Independent Illumination Estimation for DNN Models (BMVC 2019)

Foggysynscapes ⭐ 30

Semantic Understanding of Foggy Scenes with Purely Synthetic Data

A MATLAB Implementation of GrabCut (Excluding Border Matting and User Editing)

Implementation of our ICCV 2017 paper: MIHash - Hashing with Mutual Information

Transferseg ⭐ 25

Unseen Object Segmentation in Videos via Transferable Representations, ACCV 2018 (oral)

Defocus_segmentation ⭐ 24

LBP-based segmentation of defocus blur

Extended Berkeley Segmentation Benchmark ⭐ 24

Extended version of the Berkeley Segmentation Benchmark [1] used for evaluation in [2].

Bus Segmentation ⭐ 24

MATLAB implementation to segment breast lesions in ultrasound images (ICIAR 2016)

Deep Multitask Architecture for Integrated 2D and 3D Human Sensing (CVPR 2017)

Pretrained Yolox Network For Object Detection ⭐ 23

YOLOX inference in MATLAB for Object Detection with yolox_s, yolox_m & yolox_l networks

Lpbox Admm ⭐ 22

A generic optimization method for any integer programming problem

Cive497 Cive700 ⭐ 21

Smart Structure Technology (Winter, 2021)

Computer Vision Uiuc ⭐ 20

🖼️ CS543 / ECE549: Computer Vision in Spring 2018, University of Illinois at Urbana-Champaign

Aerial Segmentation ⭐ 19

Scripts to process aerial imagery

Structured Light Laser Stripe Reconstruction ⭐ 19

Reconstructs a 3D stripe on the area of an object on which a laser falls as seen by the camera

Lidar Object Detection Using Complex Yolov4 ⭐ 17

Object detection and transfer learning on point clouds using pretrained Complex-YOLOv4 models in MATLAB

Saliency Objectness ⭐ 17

Book_about_quadratization ⭐ 16

Open collaborative book on quadratization in discrete optimization and quantum mechanics.

Semantic Aware Colour Transfer ⭐ 16

Implementation of the paper : Sky is Not the Limit: Semantic-Aware Sky Replacement

Object Detection Using Pretrained Yolo V2 ⭐ 16

YOLO v2 prediction and training in MATLAB for Object Detection with darknet19 & tinyYOLOv2 base networks

Computer Vision Project ⭐ 15

The goal of this project was to develop a Face Recognition application using a Local Binary Pattern approach and, using the same approach, develop a real time Face Recognition application.

Pretrained Efficientdet D0 ⭐ 15

Object detection and transfer learning using pretrained EfficientDet-D0 model in MATLAB.

Mtcnn Face Detection ⭐ 15

Face detection and alignment using deep learning

Chenguang Computer Vision

Eecs442 Image Stitching ⭐ 14

Harris corner detector is used to find the region of interest. SIFT descriptor is used to generate fingerprint around the interest point. RANSAC algorithm is used to fit the Homography Transform model.

使用深度强化学习解决视觉跟踪和视觉导航问题

Fastest Object Detector Of Pytorch ⭐ 13

This Toolkit is the fastest way to train YOLO-v2 with your own custom dataset from scratch including annotating part

Ladcf_vot ⭐ 13

Abnormal Event Detection ⭐ 13

The project is an OpenCV based C++ implementation of the paper 'Abnormal Event Detection at 150FPS in Matlab'

Fusionnet ⭐ 12

Source code for the 2019 IEEE CIVEMSA paper "Touchless palmprint and finger texture recognition: A Deep Learning fusion approach"

Pretrained Salsanext ⭐ 12

Semantic segmentation and transfer learning using pretrained SalsaNext model in MATLAB

Toolbox Balu for Image Processing, Pattern Recognition and Computer Vision

Kernelized Local Descriptors

Imageprocessing And Computervision ⭐ 11

Repository for exercises and project in Image Processing and Computer Vision course at University of Twente

Computer Vision 16720 Cmu ⭐ 11

Sang-Wook's Library (SWL)

Perturbed Topological Signature ⭐ 11

Matlab and Python code to compute perturbed topological signatures (PTS), an efficient topological representation that lies on the Grassmann manifold.

Category-Aware Spatial Constraint for Weakly Supervised Detection

Leafdiag ⭐ 11

LeafDiag is an Android mobile application, which can automatically identify the plants diseases based on its leaf appearance with some computer vision and machine learning techniques.

Predictive principal component analysis (PredPCA)

Domain Adaptation for Semantic Segmentation at Nighttime

Dresstar ⭐ 10

Video retrieval from query images

Monocular Visual Odometry ⭐ 10

Monocular Visual Odometry on KITTI dataset. Implemented in MATLAB

Dataset and Evaluation Scripts for Obstacle Detection via Semantic Segmentation in a Marine Environment

Otb.plugin ⭐ 10

Bridging python and matlab version OTB

Pyramid_texture_filtering ⭐ 9

pyramid texture filtering

CZU-MHAD: A multimodal dataset for human action recognition utilizing a depth camera and 10 wearable inertial sensors

Digitrecognition ⭐ 9

Digit recognition using deep learning (convolutional neural networks)

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