EPro-PnP paper explanation part2

Arrangements of the new semester and explanation of the laboratory rules and regulations

Discussion on the details of the line segment matching experiment

EPro-PnP paper explanation part1

Laboratory Equipment

A brief introduction to Cuda

Analysis of Reconstruction Accuracy and Discussion of Network Architecture

NGLOD camera code explanation

Laboratory Rules Update

Experimental problem solving(the speed of obtaining sdf is too slow)

Examination of experimental content and graduation thesis for second-year students

Activation function experience sharing

Understanding point cloud deformation LOSS and NGLOD rendering process

Learn the rendering code of NGLOD (c++)

Learn the rendering code of NGLOD (python)

Summary of the last semester

Presentation of paper '3DETR' and 'NGLOD'

Spherical Harmonics learning

Understanding the spatial relationship of objects from artificial intelligence

How to achieve high-speed rendering of 3D scenes with the help of light fields

Sharing of paper 'GAT' about graph convolution

Overview of Deep Learning Model Compression Methods

NeRF++: Analyzing and Improving Neural Radiance Fields

Explanation of the paper about explanation key points

Questions and answers of paper 'KiloNeRF'

Efficient and high-precision geometric registration in 3D reconstruction

Sharing of the paper 'NeRF'

Explanation of single-pixel real-time rendering

An introduction to Neural Networks Interpretable

Introduce the rules and regulations of the laboratory for freshmen

PoinTr: Geometry Sensitive Diverse Point Cloud Completion Transformer

Summary of the last semester

Technical webpage explanation

Program code explanation of Red scarf detection

Explanation of 2021 China3DV selected papers and trial lecture of opening report

Explanation of Transformer Attention Mechanism

Technical webpage explanation

Technical webpage explanation

Discussion of the details of the paper

Technical webpage explanation

Technical webpage explanation

Discussion of the details of the paper

Discussion of the details of the paper

Explanation of Laboratory Rules and Regulations

OpenCV Webinar WeChat QR code engine and its OpenCV open source module analysis (below)

OpenCV Webinar WeChat QR code engine and its OpenCV open source module analysis (on)

Introduce the current experimental results of the 3D reconstruction direction

School summary and planning for a new semester

Technical webpage explanation

OpenMMLab series of live lectures

Point cloud processing integrated online course

Overfit neural paper explanation

Review of image matching papers

Efficient and High-precision Geometric Modeling

Point Cloud Processing Comprehensive Online Course

3D Reconstruction Based on Deep Learning

Point Cloud Processing Comprehensive Online Course

Integrated Point Cloud Processing Online Course

Analysis and Generation of Geometric Deep Learning

Point Cloud Processing Comprehensive Online Course

Doctor of Technical University of Munich explains geometric constraints in indoor SLAM in detail

Trial Lecture of Opening Report

SuperGlue: Learning Feature Matching with Graph Neural Networks Paper Report

Introduction and explanation of some three-dimensional papers

Point Cloud Deep Learning: Seeing the World in a One-Dimensional Panel Part

Laboratory Matters Description

Discussion about VALSE2019 point cloud seminar

Laboratory rules introduction and semester arrangements

Laboratory introduction

3D-FUTURE competition discussion(Part.III)

3D-FUTURE competition discussion(Part.II)

3D-FUTURE competition discussion(Part.I)

SOLO paper introduction

FCOS and NAS

Discussion about details of point cloud classification paper

Logistics project code optimization discussion

LSM: Learning Subspace Minimization for Low-Level Vision

Logistics project discussion(Part.V)

Interpretable AI based on graph reasoning and industrial application in visual language

Image segmentation and detection task paper sharing

Point cloud paper discussion

From target detection to instance segmentation(Part.II)

From target detection to instance segmentation(Part.I)

Logistics project discussion(Part.IV)

Review of classic optimization methods(Yaxiang Yuan)

Paper analysis about BlenderMask

Logistics project discussion(Part.III)

3D paper idea discussion(Part.II)

Logistics project discussion(Part.II)

Paper analysis about ResNeSt

Logistics project discussion(Part.I)

3D paper idea discussion(Part.I)

MM Attendance share

Master graduation reply rehearsal

Summary of logistics project progress(Part.II)

Summary of logistics project progress(Part.I)

DisparityFlow Estimation with Deep Learning(Part.II)

PRCV Attendance share

Report on progress of flour bag inspection project(Part.II)

Report on progress of flour bag inspection project(Part.I)

Panoramic positioning project introduction

Logistics project introduction

DisparityFlow Estimation with Deep Learning(Part.I)

ISMAR Attendance share

Introduction to Object Detection Methods

GNN overview

Project background introduction

Work Arrangemnt

Work Arrangemnt

Discussion about projects

Discussion about projects

Geometrical Vision Theory Lessons (Part.VI)

Geometrical Vision Theory Lessons (Part.V)

Geometrical Vision Theory Lessons (Part.IV)

Geometrical Vision Theory Lessons (Part.III)

Geometrical Vision Theory Lessons (Part.II)

Geometrical Vision Theory Lessons (Part.I)

Graduation Project PPT preview

valse reply

Arrangment about Cainiao Competition

Discussion about idea

valse reply: 3D vision and Deep Learning

Arrangment about Cainiao Competition

GAN Seris Lesson study: Lesson 2

GAN Seris Lesson study: Lesson 2

GAN Seris Lesson study: Lesson 1

Collective Learning on Tech Article

Fine-Grained Image Analysis and Beyond

Reply PPT

3D Reconstruction on Human Face and Appraent Modeling - The Rebirth of Traditional Vision Problem by Use Deep Neural Net

Introduction to PRCV

3D Vision and Deep Learning

CS231n L.13 Model Generation (Part.II)

CS231n L.13 Model Generation (Part.I)

Discussion about patents

CS231n L.12 feature's Visualization

CS231n L.11 Image Segmentation

Deep Learning on Point Cloud & apply in 3D Scenario (Part.II)

Deep Learning on Point Cloud & apply in 3D Scenario (Part.I)

Project Report about 3D Object Positioning and Robotic Arm Grabbing

Analysis about PointCNN

Architecture Design about DCNN

Discussion about patents

Intel RealSense

Geometry meets deep learning

3D Deep Learning and Applications

Vision Tech. in unmanned

rehearsal about Graduation Project reply

Introduction to unconstrained Optimize

Introduction to LSTM

Introduction to zoom lens calibration analysis and softwares

KinectFusion & improve of new paper

Discussion about patents

Introduction to Deep Learning Frameworks

Discussion about patents