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News about AI & DL & ML!!! Admin: @Gayrat_Tangriberganov
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βοΈ Follow Anything: Open-set detection, tracking, and following in real-time.
#SAM #Tracking
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Linear_Algebra4Computer_Vision_Robotics_and_Machine_Learning.pdf5.76 MB
π Book π
βοΈ Linear Algebra for Computer Vision,
Robotics, and Machine Learning by Jean Gallier and Jocelyn Quaintance.
Table of Contents:
βοΈ Vector Spaces, Bases, Linear Maps
βοΈ Matrices and Linear Maps
βοΈ Haar Bases, Haar Wavelets, Hadamard Matrices
βοΈ Direct Sums, Rank-Nullity Theorem, Affine Maps
βοΈ Determinants
βοΈ Gaussian Elimination, LU, Cholesky, Echelon Form
βοΈ Vector Norms and Matrix Norms
βοΈ Iterative Methods for Solving Linear Systems
βοΈ The Dual Space and Duality
βοΈ Euclidean Spaces
βοΈ QR-Decomposition for Arbitrary Matrices
βοΈ Hermitian Spaces
βοΈ Eigenvectors and Eigenvalues
βοΈ Unit Quaternions and Rotations in SO(3)
βοΈ Spectral Theorems
βοΈ Computing Eigenvalues and Eigenvectors
βοΈ Graphs and Graph Laplacians; Basic Facts
βοΈ Spectral Graph Drawing
βοΈ Singular Value Decomposition and Polar Form
βοΈ Applications of SVD and Pseudo-Inverses
βοΈ Annihilating Polynomials; Primary Decomposition
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βοΈ Arbitrary-Scale Video Super-Resolution with Structural and Textural Priors
#SuperResolution
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Linear_Algebra4Computer_Vision_Robotics_and_Machine_Learning.pdf5.76 MB
π Book π
βοΈ Linear Algebra for Computer Vision,
Robotics, and Machine Learning by Jean Gallier and Jocelyn Quaintance.
Table of Contents:
βοΈ Vector Spaces, Bases, Linear Maps
βοΈ Matrices and Linear Maps
βοΈ Haar Bases, Haar Wavelets, Hadamard Matrices
βοΈ Direct Sums, Rank-Nullity Theorem, Affine Maps
βοΈ Determinants
βοΈ Gaussian Elimination, LU, Cholesky, Echelon Form
βοΈ Vector Norms and Matrix Norms
βοΈ Iterative Methods for Solving Linear Systems
βοΈ The Dual Space and Duality
βοΈ Euclidean Spaces
βοΈ QR-Decomposition for Arbitrary Matrices
βοΈ Hermitian Spaces
βοΈ Eigenvectors and Eigenvalues
βοΈ Unit Quaternions and Rotations in SO(3)
βοΈ Spectral Theorems
βοΈ Computing Eigenvalues and Eigenvectors
βοΈ Graphs and Graph Laplacians; Basic Facts
βοΈ Spectral Graph Drawing
βοΈ Singular Value Decomposition and Polar Form
βοΈ Applications of SVD and Pseudo-Inverses
βοΈ Annihilating Polynomials; Primary Decomposition
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βοΈ Deep OC-SORT: Multi-Pedestrian Tracking by Adaptive Re-Identification
#Tracking #ReIdentification
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βοΈ Dino V2 for Classification, PCA Visualization, Instance Retrival
#ViT
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βοΈ PoseFormerV2: Exploring Frequency Domain for Efficient and Robust 3D Human Pose Estimation
#HumanPoseEstimation #3D
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βοΈ MoDi: Unconditional Motion Synthesis from Diverse Data
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βοΈ SinMDM: Single Motion Diffusion
#DiffusionModel
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βοΈ HaGRID - HAnd Gesture Recognition Image Dataset
#Dataset
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βοΈ Honeybee: Locality-enhanced Projector for Multimodal LLM π
#LLMs
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βοΈ SEED-Story: Multimodal Long Story Generation with Large Language Model
#LLMs
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βοΈ VGGSfM Visual Geometry Grounded Deep Structure From Motion π₯
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βοΈ IDOL: Unified Dual-Modal Latent Diffusion for Human-Centric Joint Video-Depth Generation π₯
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βοΈ FER-YOLO-Mamba: Facial Expression Detection and Classification Based on Selective State Space π₯
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βοΈ Category-level Object Detection, Pose Estimation and Reconstruction from Stereo Images
#3D #PoseEstimation
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βοΈ A Graph-Based Approach for Category-Agnostic Pose Estimation
#PoseEstimation
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βοΈ CAVIS: Context-Aware Video Instance Segmentation π₯
#InstanceSegmentation
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