We provide an overview of the current state-of-the-art of computer vision by studying a set of cutting-edge advanced computer vision topics. Nine selected computer vision research topics reflect the current state in machine vision. The main objective is to review cutting-edge computer vision research through lectures covering the underlying mathematical concepts and representative algorithms, paper reading, and implementation.
Semi-supervised Learning
Sparsity Induced Similarity Measure for Label Propagation
Unsupervised Improvements of Visual Detectors using Co-training
Robust Multi-Class Transductive Learning with Graphs
Compressive Sensing
A Compressive Sensing Approach for Expression-Invariant Face Recognition
Discriminative Learned Dictionaries for Local Image Analysis
Compressive Sensing for Background Subtraction
Image Super-Resolution as Sparse Representation of Raw Image Patches
Implicit elastic matching with random projections for pose-variant face recognition
Segmentation
Increased Discrimination in Level Set Methods with Embedded Conditional Random Fields
3D Pose Estimation and Segmentation using Specular Cues
An efficient algorithm for Co-segmentation
Image Segmentation with A Bounding Box Prior
Spectral clustering of linear subspaces for motion segmentation
Optical Flow
Large Displacement Optical Flow
Local Grouping for Optical Flow
Human Detection
Human Detection Using Partial Least Squares Analysis
Automatic Annotation of Human Actions in Video
An HOG-LBP Human Detector with Partial Occlusion Handling
Robust Tracking-by-Detection using a Detector Confidence Particle Filter
Registration, Matching, and Alignment
Image Registration by Minimization of Residual Complexity
Simultaneous Alignment and Clustering for an Image Ensemble
Canonical TimeWarping for Alignment of Human Behavior
Temporal Segmentation and Activity Classification from First-person Sensing
Wavelet Based Topics
Wavelet Energy Map: A Robust Support for Multi-modal Registration of Medical Images
An Efficient Algorithm for Compressed MR Imaging using Total Variation and Wavelet
Hierarchical 3D Diffusion Wavelets Shape Priors
Multi-target Tracking
You'll NeverWalk Alone: Modeling Social Behavior for Multi-target Tracking
Coupled Detection and Trajectory Estimation for Multi-Object Tracking
Learning to Associate: HybridBoosted Multi-Target Tracker for Crowded Scene
Patterns
Kernel Methods for Weakly Supervised Mean Shift Clustering
In Defense of Nearest-Neighbor Based Image Classification
Mode-Detection via Median-Shift
A Tensor-Based Algorithm for High-Order Graph Matching
Higher-Order Clique Reduction in Binary Graph Cut
Beyond Pairwise Energies: Efficient Optimization for Higher-order MRFs
Recognition
Distinctive Image Features from Scale-Invariant Keypoints
Object Class Recognition by Unsupervised Scale-Invariant Learning
Video Google: a Text Retrieval Approach to Object Matching in Videos
Learning Object Categories from Google's Image Search
Adapted Vocabularies for Generic Visual Categorization
Discovering Objects and Their Location in Images
Object Retrieval with Large Vocabularies and Fast Spatial Matching
Scalable Recognition with a Vocabulary Tree ( Relevant Reference)
Beyond Bag of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories
Multiple Object Class Detection with a Generative Model
Shape Matching and Object Recognition using Low Distortion Correspondences
Contour-based learning for object detection
A boundary-Fragment-Model for Object Detection
Beyond Local Appearance: Category Recognition from Pairwise Interactions of Simple Features
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