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From the 1 of 7 linked papers with an AI index.

collaborators

7 papers

cs.CV2026

Unsupervised Detection of Entry and Exit Regions from Vehicle Trajectories for Camera-Agnostic Turning Movement Counts

Parikshit Singh Rathore, Vishwajeet Pattanaik, Punit Rathore

The paper proposes an unsupervised pipeline that automatically extracts entry and exit regions for counting vehicle turning movements directly from raw vehicle trajectories, elimin…

cs.CV2026

STEAM: Squeeze and Transform Enhanced Attention Module

Rishabh Sabharwal, Ram Samarth B B, Parikshit Singh Rathore +1

Channel and spatial attention mechanisms introduced in earlier work enhance the representational capabilities of deep convolutional neural networks (CNNs) but often increase parame…

cs.LG2026

On Hamming-Lipschitz Type Stability of the Subdominant (Minmax) Ultrametric: Theory and Simple Proofs

Alokendu Mazumder, Arnab Roy, Punit Rathore

The subdominant (minmax) ultrametric is a canonical tree-structured summary of a dissimilarity matrix, arising equivalently as the ultrametric induced by single-linkage clustering.…

cs.CV2026

BMD-45: A Large-Scale CCTV Vehicle Detection Dataset for Urban Traffic in Developing Cities

Akash Sharma, Chinmay Mhatre, Sankalp Gawali +8

Robust vehicle detection from fixed CCTV cameras is critical for Intelligent Transportation Systems. Yet existing benchmarks predominantly feature relatively homogeneous, highly or…

cs.LG2026

Physics-informed neural network for predicting fatigue life of unirradiated and irradiated austenitic and ferritic/martensitic steels under reactor-relevant conditions

Dhiraj S Kori, Abhinav Chandraker, Syed Abdur Rahman +2

This study proposes a Physics-Informed Neural Network (PINN) framework to predict the low-cycle fatigue (LCF) life of irradiated austenitic and ferritic/martensitic (F/M) steels us…

cs.DC2026

Scaling Real-Time Traffic Analytics on Edge-Cloud Fabrics for City-Scale Camera Networks

Akash Sharma, Pranjal Naman, Roopkatha Banerjee +11

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 Intellige…