Detecting Dominant Vanishing Points in Natural Scenes

Academic Endeavors at Pennsylvania State University

• Leveraging big visual data to predict severe weather conditions
• Discovering Triangles in Portraits for Supporting Photographic Creation
• Skeleton Matching with Applications in Severe Weather Detection
• Detecting Dominant Vanishing Points in Natural Scenes with Application to Composition-Sensitive Image Retrieval
• Shape matching using skeleton context for automated bow echo detection
• Detecting Vanishing Points in Natural Scenes with Application in Photo Composition Analysis
• Stochastic Modeling and Optimization of Stragglers
• Automatic Thumbnail Generation by Smart Cropping
• Evaluating the Combined Impact of Node Architecture and Cloud Workload Characteristics on Network Traffic and Performance/Cost
• Fork-Join Queue Modeling and Optimal Scheduling in Parallel Programming Frameworks
• Optimal Placement of Cores, Caches and Memory Controllers in Network On-Chip
• Towards Stochastically Optimizing Data Computing Flows
• Stochastic Modeling and Optimization of Stragglers in Map-Reduce Framework
• Towards blind detection of low-rate spatial embedding in image steganalysis
• Modeling and Optimization of Straggling Mappers
• Performance Modeling and Optimization of MapReduce
• Security Weaknesses in PGP Protocol
• Eigenvalues-based LSB steganalysis
• Image steganalysis based on SVD and noise estimation: Improve sensitivity to spatial LSB embedding families
• Multi-dimensional correlation steganalysis
• Game-theoretic approach to mitigate packet dropping in wireless ad-hoc networks
• Risk of attack coefficient effect on availability of adhoc networks
• Private Identification, Authentication and Key Agreement Protocol with Security Mode Setup
• Private Identification, Authentication and Key Agreement Protocol with Security Mode Setup (PIAKAP)
• Locally Multi-path Adaptive Routing Protocol Resilient to Selfishness and Wormholes
• Extended Authentication and Key Agreement Protocol of UMTS