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Linyi Jin's Projects

3dfires icon 3dfires

[CVPR 2024] 3DFIRES: Few Image 3D REconstruction for Scenes with Hidden Surfaces

caen-lecture-scraper icon caen-lecture-scraper

Scrapes and downloads all videos from CAEN Lecture Recordings for any class so that they are available offline.

caffe icon caffe

Caffe: a fast open framework for deep learning.

cob icon cob

Convolutional Oriented Boundaries

d3d-hoi icon d3d-hoi

We create D3D-HOI a dataset of monocular videos with ground truth annotations of 3D object pose and part motion during human-object interaction.

deep-learning-papers icon deep-learning-papers

Papers about deep learning ordered by task, date. Current state-of-the-art papers are labelled.

demon icon demon

DeMoN: Depth and Motion Network

detectron2 icon detectron2

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

eecs489 icon eecs489

EECS 489: Computer Networks @ the University of Michigan

fritzing-parts icon fritzing-parts

Electronic components for use in the Fritzing app (aka the parts library)

hed icon hed

code for Holistically-Nested Edge Detection

markdown-here icon markdown-here

Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.

matlabprogressbar icon matlabprogressbar

This MATLAB class provides a smart progress bar like tqdm in the command window and is optimized for progress information in simple iterations or large frameworks with full support of parallel parfor loops provided by the MATLAB Parallel Computing Toolbox.

matterport icon matterport

Matterport3D is a pretty awesome dataset for RGB-D machine learning tasks :)

minimal-mistakes icon minimal-mistakes

:triangular_ruler: Jekyll theme for personal sites, blogs, and portfolios. Two-columns and extremely flexible.

objectron icon objectron

Objectron is a dataset of short, object-centric video clips. In addition, the videos also contain AR session metadata including camera poses, sparse point-clouds and planes. In each video, the camera moves around and above the object and captures it from different views. Each object is annotated with a 3D bounding box. The 3D bounding box describes the object’s position, orientation, and dimensions. The dataset contains about 15K annotated video clips and 4M annotated images in the following categories: bikes, books, bottles, cameras, cereal boxes, chairs, cups, laptops, and shoes

openrave icon openrave

Open Robotics Automation Virtual Environment: An environment for testing, developing, and deploying robotics motion planning algorithms.

perspectivefields icon perspectivefields

[CVPR 2023 Highlight] Perspective Fields for Single Image Camera Calibration

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