adhiguna mahendraAn Approach to Computer Vision for Out-of-Distribution Object Detection for Self-DrivingAutonomous driving relies heavily on robust computer vision systems to navigate complex environments. Detecting and identifying known…Sep 14Sep 14
adhiguna mahendraAdvancing Smart Cities with Multi-Drone Swarm IntelligenceThe rapid evolution of drone technology offers promising solutions for various applications in smart cities, particularly in the areas of…Sep 14Sep 14
adhiguna mahendraSnap4City: Building a Living Digital Twin of Your Smart CityImagine a detailed 3D model of your city, not a static snapshot, but a constantly evolving representation that reflects the city’s…Sep 13Sep 13
adhiguna mahendraIntegrating IoT-Enabled Ambient Sensors and LLMs for Enhanced Elderly Care in HealthcareIntroduction to Ambient Sensing and Large Language Models in Elderly CareAug 6Aug 6
adhiguna mahendraMultiview aerial imagery for geospatial object classificationIntroductionJun 25Jun 25
adhiguna mahendraAdvanced Remote Sensing Analysis with LLM: Enhancing Rural and City Planning with GeoLLM-QAIntroduction to GeoLLM-QA ResearchJun 24Jun 24
adhiguna mahendraCephalo: Bridging the Gap Between Images and Text for Bio-Inspired Material DesignCephalo, a series of open-source multimodal vision-large language models (V-LLMs) developed by Massachusetts Institute of Technology…Jun 23Jun 23
adhiguna mahendraSpatialyze:Framework for Geospatial Video AnalyticsResearch Overview and MethodologyJun 22Jun 22
adhiguna mahendraIntegrating LLM and Federated LearningThe integration of federated learning (FL) with large language models (LLMs) presents a transformative approach to addressing the…Jun 8Jun 8