Our Verticals
• AI in Health and Medicine
• Vision for Anomaly Detection
• Vision for Object Tracking
• AI for Bioinformatics
• Vision for Face and Finger Print Recognition
• Vision for Image Understanding
• Vision for Crowd Management
• Vision for Fake Detection
• Vision for Moving Object Detection
• Vision for Human Pose Detection
• AI for Graph Data Analysis
• Vision for Security
• Vision for Facial Expression Synthesis
• AI for Information Fusion
• AI for Cloud and Fog Computing
• AI for Remote Sensing
AI in Health and Medicine:
• Nucleus Detection and Segmentation
• Nucleus Classification
• Tissue Phenotyping
• Skin Cancer Segmentation
• Prostate Cancer Detection
• ECG Estimation Using Low-Cost Portable PPG Sensors
• Emotion Detection Using ECG Signal
• Semantic Segmentation of Histology Images
• Classification of Gleason Score for Prostate Cancers
• Classification of Benign and Malignant Masses in Mammograms
• Unsupervised WSI Classification
AI for Anomolous Events Detection:
• Weakly Supervised Training to Detect Anomalous Events in Surveillance Videos
• Stabilizing Adversarially Learned One-Class Novelty Detection Using Pseudo Anomalies
• Unsupervised Video Anomaly Detection
• An anomaly detection system via moving surveillance robots with human collaboration
• Cleaning Label Noise with Clusters for Minimally Supervised Anomaly Detection
AI for Visual Object Tracking:
• Information Fusion for Visual Object Tracking
• Video Object Segmentation
• Graph Regularized Discriminative Correlation Filter for Visual Object Tracking
• Robust Tracking via Feature Enrichment
• Robust Structural Low-Rank Tracking
• Improving Object Tracking by Added Noise and Channel Attention
• Feature fusion with channel and spatial attention for robust visual object tracking
• Adaptive Feature Selection Siamese Networks for Visual Tracking
• Complete Moving Object Detection in the Context of Robust Subspace Learning
AI for Human Pose Detection:
• Quantification of Occlusion Handling Capability of 3D Human Pose Estimation Framework
• A Boosting Framework for Human Posture Recognition
• Walk Like Me: Video to Video Action Transfer
• Human fall detection
AI for Graph Data Analysis:
• Higher-Order Sparse Convolutions in Graph Neural Networks
• Reconstruction of Time-Varying Graph Signals
• Network Community Detection
AI for Expression Synthesis:
• Improving GAN Generalization via Regressed Conditioning for Facial Expression Synthesis
• Masked Linear Regression for Learning Local Receptive Fields for Facial Expression Synthesis
AI for Cloud, Fog and Cluster Computing:
• Predictive Autoscaling of Microservices Hosted in Fog Microdata Center
• Predictive Auto-scaling of Multi-tier Applications Using Performance Varying Cloud Resources
• Canny edge detection and Hough transform for high resolution video streams using Hadoop and Spark
• Web application resource requirements estimation based on the workload latent features
• Dynamic workload patterns prediction for proactive auto-scaling of web applications
AI for Remote Sensing:
• Improving Chlorophyll-a Estimation from sentinel-2 (MSI) in the Barents Sea using Machine Learning
• Ocean Color Net (OCN) for the Barents Sea
AI for Autonomous Driving:
• Statistically correlated multi-task learning for autonomous driving
AI for Speech and Text Processing:
• Single branch Network for Multimodal Training
• Cross-modal Speaker Verification and Recognition: A Multilingual Perspective
• Do Cross Modal Systems Leverage Semantic Relationships?
• Deep Latent Space Learning for Cross-modal Mapping of Audio and Visual Signals
AI for Security: Firearms Detection:
• Detection and Localization of Firearm Carriers in Complex Scenes for Improved Safety Measures
• Leveraging orientation for weakly supervised object detection with application to firearm localization
• Localizing firearm carriers by identifying human-object pairs
• Orientation Aware Object Detection with Application to Firearms
• Improving security surveillance by hidden cameras
AI for Bioinformatics:
• EnProCell: Ensembled lower-dimensional projections of cellular expression improves the cell type classification from single-cell RNA sequencing
• Deep-Ace: LSTM-based Prokaryotic Lysine Acetylation Site Predictor
• Data science meets high-throughput single-cell sequencing, in particular, single-cell RNA sequencing and spatial transcriptomics