52 citations · 91 across the 15 of their papers we have counts for
15 papers
Explainable Geospatial AI for Satellite Ground Station Siting Using LiDAR-Derived Terrain Intelligence
Shohini Sarkar, Smithi Mahendran, Rishi Chudasama +5
Representative clutter height (RCH) is a key parameter in radio propagation and interference analysis because it captures the dominant height of local obstructions that drive termi…
TalentMine: LLM-Based Extraction and Question-Answering from Multimodal Talent Tables
Varun Mannam, Fang Wang, Chaochun Liu +1
In talent management systems, critical information often resides in complex tabular formats, presenting significant retrieval challenges for conventional language models. These cha…
Evaluating VisualRAG: Quantifying Cross-Modal Performance in Enterprise Document Understanding
Varun Mannam, Fang Wang, Xin Chen
Current evaluation frameworks for multimodal generative AI struggle to establish trustworthiness, hindering enterprise adoption where reliability is paramount. We introduce a syste…
Efficient Retail Video Annotation: A Robust Key Frame Generation Approach for Product and Customer Interaction Analysis
Varun Mannam, Zhenyu Shi
Accurate video annotation plays a vital role in modern retail applications, including customer behavior analysis, product interaction detection, and in-store activity recognition.…
Knowledge Graph Enhanced Language Agents for Recommendation
Taicheng Guo, Chaochun Liu, Hai Wang +5
Language agents have recently been used to simulate human behavior and user-item interactions for recommendation systems. However, current language agent simulations do not underst…
Low-Energy Convolutional Neural Networks (CNNs) using Hadamard Method
Varun Mannam
The growing demand for the internet of things (IoT) makes it necessary to implement computer vision tasks such as object recognition in low-power devices. Convolutional neural netw…
Deconvolution in Fluorescence Lifetime imaging microscopy (FLIM)
Varun Mannam, Xiaotong Yuan, Scott Howard
Fluorescence lifetime imaging microscopy (FLIM) is an important technique to understand the chemical micro-environment in cells and tissues since it provides additional contrast co…
Low dosage 3D volume fluorescence microscopy imaging using compressive sensing
Varun Mannam, Jacob Brandt, Cody J. Smith +1
Fluorescence microscopy has been a significant tool to observe long-term imaging of embryos (in vivo) growth over time. However, cumulative exposure is phototoxic to such sensitive…
Convolutional Neural Network Denoising in Fluorescence Lifetime Imaging Microscopy (FLIM)
Varun Mannam, Yide Zhang, Xiaotong Yuan +6
Fluorescence lifetime imaging microscopy (FLIM) systems are limited by their slow processing speed, low signal-to-noise ratio (SNR), and expensive and challenging hardware setups.…
Deep learning-based super-resolution fluorescence microscopy on small datasets
Varun Mannam, Yide Zhang, Xiaotong Yuan +1
Fluorescence microscopy has enabled a dramatic development in modern biology by visualizing biological organisms with micrometer scale resolution. However, due to the diffraction l…
Design of the Single Balanced Mixer (Using HSMS-281x Diode) and Measurements
Varun Mannam
We designed the Mixer operating at 2.4 GHz for WIFI-band using ADS software and fabricated using Rogers 4350B substrate. We designed the single-balanced mixer using the diode (HSMS…
Packet Compressed Sensing Imaging (PCSI): Robust Image Transmission over Noisy Channels
Scott Howard, Grant Barthelmes, Cara Ravasio +3
Packet Compressed Sensing Imaging (PCSI) is digital unconnected image transmission method resilient to packet loss. The goal is to develop a robust image transmission method that i…
Machine learning for faster and smarter fluorescence lifetime imaging microscopy
Varun Mannam, Yide Zhang, Xiaotong Yuan +2
Fluorescence lifetime imaging microscopy (FLIM) is a powerful technique in biomedical research that uses the fluorophore decay rate to provide additional contrast in fluorescence m…
Instant Image Denoising Plugin for ImageJ using Convolutional Neural Networks
Varun Mannam, Yide Zhang, Yinhao Zhu +1
We present a new convolutional neural network (CNN) based ImageJ plugin for fluorescence microscopy image denoising with an average improvement of 7.5 dB in peak signal-to-noise ra…
Performance Analysis of Semi-supervised Learning in the Small-data Regime using VAEs
Varun Mannam, Arman Kazemi
Extracting large amounts of data from biological samples is not feasible due to radiation issues, and image processing in the small-data regime is one of the critical challenges wh…