BMD-45: A Large-Scale CCTV Vehicle Detection Dataset for Urban Traffic in Developing Cities
Authors: Akash Sharma, Chinmay Mhatre, Sankalp Gawali, Ruthvik Bokkasam, Brij Sharma, Vishwajeet Pattanaik, Punit Rathore, Raghu Krishnapuram, Vijay Gopal Kovvali, Anirban Chakraborty, Yogesh Simmhan Know more Robust vehicle detection from fixed CCTV cameras is critical for Intelligent Transportation Systems. Yet existing benchmarks predominantly feature relatively homogeneous, highly organized traffic patterns captured from ego-centric driving perspectives […]
Scaling Real-Time Traffic Analytics on Edge–Cloud Fabrics for City-Scale Camera Networks
Authors: Akash Sharma, Pranjal Naman, Roopkatha Banerjee, Priyanshu Pansari, Sankalp Gawali, Mayank Arya, Sharath Chandra, Arun Josephraj, Rakshit Ramesh, Punit Rathore, Anirban Chakraborty, Raghu Krishnapuram, Vijay Kovvali, Yogesh Simmhan Know more Real-time city-scale traffic analytics requires processing 100s-1000s of CCTV streams under strict latency, bandwidth, and compute limits. We present a scalable AI-driven Intelligent Transportation […]
Zero-Shot Pose Estimation and Tracking of Autonomous Mobile Robots using Infrastructure Vision Sensors – An End-to-End Perception Framework
Authors: Dharini Raghavan, Raghu Krishnapuram, Bharadwaj S Amrutur Know more We propose a scalable perception framework leveraging monocular security cameras in the infrastructure for localizing and tracking indoor autonomous mobile robots. We present a zero-shot pose estimation approach that combines semantic and visual descriptors to identify reliable, repeatable and robust keypoints along with a quantification […]
The Urban Vision Hackaton Dataset and Models: Towards Image Annotations and Accurate Vision Models for Indian Traffic
Authors: Akash Sharma, Chinmay Mhatre, Sankalp Gawali, Ruthvik Bokkasam, Brij Kishore, Vishwajeet Pattanaik, Tarun Rambha, Abdul R. Pinjari, Vijay Kovvali, Anirban Chakraborty, Punit Rathore, Raghu Krishnapuram, Yogesh Simmhan Know more This report describes the UVH-26 dataset, the first public release by AIM@IISc of a large-scale dataset of annotated traffic-camera images from India. The dataset comprises […]
A Web-Based Interactive Dashboard for Ground Water Analysis and Decision Support
Authors: Linda Theres B, Jyotirmoy Dutta, Rakshit Ramesh Know more Water quality monitoring is crucial for ensuring public health and sustainable resource management. Traditional methods often lack integrated tools for analysis, visualization, and reporting, leading to fragmented insights. To address this gap, an interactive dashboard has been developed to streamline water quality data assessment and […]
Refined Differentially Private Linear Regression via Extension of a Free Lunch Result
Authors: Sasmita Harini S, Anshoo Tandon On the Optimal Number of Grids for Differentially Private Non-Interactive K-Means Clustering Differentially private K-means clustering enables releasing cluster centers derived from a dataset while protecting the privacy of the individuals. Non-interactive clustering techniques based on privatized histograms are attractive because the released data synopsis can be reused for other […]
What makes consent meaningful?
Authors: Asilata Karandikar On the Optimal Number of Grids for Differentially Private Non-Interactive K-Means Clustering Differentially private K-means clustering enables releasing cluster centers derived from a dataset while protecting the privacy of the individuals. Non-interactive clustering techniques based on privatized histograms are attractive because the released data synopsis can be reused for other downstream tasks without […]
Vogue: Faster computation of private heavy hitters
Authors: Pranav Jangir, Nishat Koti, Varsha Bhat Kukkala, Arpita Patra, Bhavish Raj Gopal, Somya Sangal On the Optimal Number of Grids for Differentially Private Non-Interactive K-Means Clustering Differentially private K-means clustering enables releasing cluster centers derived from a dataset while protecting the privacy of the individuals. Non-interactive clustering techniques based on privatized histograms are attractive because […]
Shield: Secure Allegation Escrow System with Stronger Guarantees
On the Optimal Number of Grids for Differentially Private Non-Interactive K-Means Clustering Authors: Nishat Koti, Varsha Bhat Kukkala, Arpita Patra, Bhavish Raj Gopal Differentially private K-means clustering enables releasing cluster centers derived from a dataset while protecting the privacy of the individuals. Non-interactive clustering techniques based on privatized histograms are attractive because the released data synopsis […]
Optimizing Federated Learning using Remote Embeddings for Graph Neural Networks
On the Optimal Number of Grids for Differentially Private Non-Interactive K-Means Clustering Authors: Pranjal Naman, Yogesh Simmhan Differentially private K-means clustering enables releasing cluster centers derived from a dataset while protecting the privacy of the individuals. Non-interactive clustering techniques based on privatized histograms are attractive because the released data synopsis can be reused for other downstream […]