Track 1: Computer Vision

Track 2: Pattern Recognition and Machine Learning

• Vision sensors

• Early vision

• Low-level vision

• Biologically motivated vision

• Illumination and reflectance modeling

• Image based modeling

• Physics-based vision

• Perceptual organization

• Shape modeling and encoding

• Computational photography

• 3D shape recovery

• Motion, tracking and video analysis

• 2D/3D object detection and recognition

• Scene understanding

• Occlusion and shadow detection

• Stereo and multiple view geometry

• Reconstruction and camera motion estimation

• Vision for graphics

• Vision for robotics

• Cognitive and embodied vision

• Statistical, syntactic and structural pattern recognition

• Machine learning and data mining

• Artificial neural networks

• Dimensionality reduction and manifold learning

• Classification and clustering

• Representation and analysis in pixel/voxel images

• Support vector machines and kernel methods

• Symbolic learning

• Active and ensemble learning

• Deep learning

• Transfer learning

• Semi-supervised learning and spectral methods

• Model selection

• Reinforcement learning and temporal models

Track 3: Image, Speech, Signal and Video Processing

Track 4: Document Analysis, Biometrics and Pattern Recognition Applications

• Signal, image and video processing

• Image and video analysis and understanding

• Audio and acoustic processing and analysis

• Spoken language processing

• Sensor array & multichannel signal processing

• Segmentation, features and descriptors

• Texture and color analysis

• Enhancement, restoration and filtering

• Coding, compression and super-resolution

• Automatic speech and speaker recognition

• Multimedia analysis, indexing and retrieval

• Pattern Recognition for Bioinformatics

• Pattern Recognition for Surveillance and Security

• Pattern Recognition for Search, Retrieval and Visualization

• Pattern Recognition for Art, Cultural Heritage and Entertainment

• Industrial image analysis

• Gesture and Behavior Analysis

• Mixed and Augmented Reality

• Inpainting and Superimposing

• Signal Processing for Astronomy

• Human Computer Interaction

• Display Hardware

• Character and Text Recognition

• Handwriting Recognition

• Graphics Recognition

• Document Understanding

• Performance Evaluation

• Human computer interaction

• Speech and natural language based interaction

• Human body motion and gesture based interaction

• Affective computing

• Facial expression recognition

• Group interaction: analysis of verbal and non-verbal communication

• Biometric systems and applications

• Multi-biometrics

• Forensic biometrics and its applications

• Fingerprint recognition

• Face recognition

• Iris recognition

• Gate recognition

• Speaker recognition

• Other biometric modalities

• Soft biometrics

• Security issues

• Other applications

Track 5: Biomedical Image Analysis

• Medical image and signal analysis

• Biological image and signal analysis

• Modeling, simulation and visualization

• Computer-aided detection and diagnosis

• Image guidance and robot guidance of interventions

• Content based image retrieval and data mining

• Medical and biological imaging

• Segmentation of medical images

• Molecular and cellular image analysis

• Volumetric image analysis

• Deformable object tracking and registration

• Computational anatomy and digital human

• VR/AR in medical education, diagnosis and surgery

• Medical robotics

• Brain-computer interfaces

• Data mining for biological databases

• Algorithms for molecular biology