Jingjia Shi (SJingjia)

SJingjia

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Company:National University of Defense Technology

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Jingjia Shi's starred repositories

TransPose

PyTorch Implementation for "TransPose: Keypoint localization via Transformer", ICCV 2021.

Language:Jupyter NotebookLicense:MITStargazers:354Issues:0Issues:0

deeplab2

DeepLab2 is a TensorFlow library for deep labeling, aiming to provide a unified and state-of-the-art TensorFlow codebase for dense pixel labeling tasks.

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pixloc

Back to the Feature: Learning Robust Camera Localization from Pixels to Pose (CVPR 2021)

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shapeunity

Learning to Reconstruct 3D Manhattan Wireframes from a Single Image

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LineTR

Line as a Visual Sentence: Context-aware Line Descriptor for Visual Localization (Line Transformer)

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OpenRooms

This is the dataset and code release of the OpenRooms Dataset. For more information, please refer to our webpage below. Thanks a lot for your interest in our research!

License:MITStargazers:127Issues:0Issues:0

ceres_python_bindings

Python Bindings for the Ceres library using Pybind11.

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TP-LSD

Official implementation of paper "TP-LSD: Tri-points based line segment detector" .

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Deep-Hough-Transform-Line-Priors

Official implementation for Deep-Hough-Transform-Line-Priors (ECCV 2020)

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SOLD2

Joint deep network for feature line detection and description

Language:Jupyter NotebookLicense:MITStargazers:539Issues:0Issues:0

lines-manual-labeling

Straight-line annotator. (直线标注工具)

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hawp

Holistically-Attracted Wireframe Parsing [TPAMI'23] & [CVPR' 20]

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Online-3D-BPP-PCT

Code implementation of "Learning Efficient Online 3D Bin Packing on Packing Configuration Trees". We propose to enhance the practical applicability of online 3D Bin Packing Problem (BPP) via learning on a hierarchical packing configuration tree which makes the deep reinforcement learning (DRL) model easy to deal with practical constraints and well-performing even with continuous solution space.

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superpixelRefinement

Superpixel-based Refinement for Object Proposal Generation (ICPR 2020)

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wangxiaobo

王小波作品搜罗

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PlantStereo

🍀🍀🍀The official implementation code of "PlantStereo: A High Quality Stereo Matching Dataset for Plant Reconstruction."

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learning3d

This is a complete package of recent deep learning methods for 3D point clouds in pytorch (with pretrained models).

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DSACLine

Differentiable RANSAC: Learning Robust Line Fitting

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pop_up_slam

Pop-up SLAM: Semantic Monocular Plane SLAM for Low-texture Environments

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ngransac

Neural-Guided RANSAC for Estimating Epipolar Geometry from Sparse Correspondences

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HDN

Homography Decomposition Networks for Planar Object Tracking

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PlaneRecNet

This is an official implementation for "PlaneRecNet" (BMVC 2021).

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UnFlow

UnFlow: Unsupervised Learning of Optical Flow with a Bidirectional Census Loss

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Semantic-Motion-Segmentation-using-Optical-flow-and-Convolutional-Neural-Networks

Semantic Motion Segmentation using Optical flow and Convolutional Neural Networks

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ssn_superpixels

Superpixel Sampling Networks (ECCV2018)

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learned-correspondence-release

Code release for "learning to find good correspondences" CVPR 2018

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Indoor-SfMLearner

[ECCV'20] Patch-match and Plane-regularization for Unsupervised Indoor Depth Estimation

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3dv_tutorial

An Invitation to 3D Vision: A Tutorial for Everyone

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SpikeMS

SpikeMS: Deep Spiking Neural Network for Motion Segmentation

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