22 citations · 27 across the 7 of their papers we have counts for
8 papers
Corrupting Attention: Evasion-Based Adversarial Attacks on Encoder Attention in Detection Transformers
Ridma Jayasundara, Shaheer Mohamed, Tharindu Fernando +6
Adversarial vulnerabilities remain a major concern for the safe deployment of neural networks, particularly in object detection, a core task embedded in many safety-critical system…
Resource Efficient Perception for Vision Systems
A V Subramanyam, Niyati Singal, Vinay K Verma
Despite the rapid advancement in the field of image recognition, the processing of high-resolution imagery remains a computational challenge. However, this processing is pivotal fo…
Beckman Defense
A. V. Subramanyam
Optimal transport (OT) based distributional robust optimisation (DRO) has received some traction in the recent past. However, it is at a nascent stage but has a sound potential in…
Circularly Polarized Fabry-Perot Cavity Sensing Antenna Design using Generative Model
Kainat Yasmeen, Kumar Vijay Mishra, A. V. Subramanyam +1
We consider the problem of designing a circularly polarized Fabry-P'erot cavity (FPC) antenna for S-band sensing applications such as satellite navigation and communication. The sp…
OneStopTuner: An End to End Architecture for JVM Tuning of Spark Applications
Venktesh V, Pooja B Bindal, Devesh Singhal +2
Java is the backbone of widely used big data frameworks, such as Apache Spark, due to its productivity, portability from JVM-based execution, and support for a rich set of librarie…
Novel Deep Learning Framework for Wideband Spectrum Characterization at Sub-Nyquist Rate
Shivam Chandhok, Himani Joshi, A V Subramanyam +1
Introduction of spectrum-sharing in 5G and subsequent generation networks demand base-station(s) with the capability to characterize the wideband spectrum spanned over licensed, sh…