Varun Mannam

According to our database, Varun Mannam authored at least 12 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

TalentMine: LLM-Based Extraction and Question-Answering from Multimodal Talent Tables.

Varun Mannam, Fang Wang, Chaochun Liu, Xin Chen

CoRR, July, 2025

Evaluating VisualRAG: Quantifying Cross-Modal Performance in Enterprise Document Understanding.

Varun Mannam, Fang Wang, Xin Chen

CoRR, June, 2025

Efficient Retail Video Annotation: A Robust Key Frame Generation Approach for Product and Customer Interaction Analysis.

Varun Mannam, Zhenyu Shi

CoRR, June, 2025

2024

Knowledge Graph Enhanced Language Agents for Recommendation.

Taicheng Guo, Chaochun Liu, Hai Wang, Varun Mannam, Fang Wang, Xin Chen, Xiangliang Zhang, Chandan K. Reddy

CoRR, 2024

2023

Improving fluorescence lifetime imaging microscopy phasor accuracy using convolutional neural networks.

Varun Mannam, Jacob Brandt, Cody J. Smith, Xiaotong Yuan, Scott S. Howard

Frontiers Bioinform., May, 2023

2022

Low dosage 3D volume fluorescence microscopy imaging using compressive sensing.

Varun Mannam, Jacob Brandt, Cody J. Smith, Scott S. Howard

CoRR, 2022

Low-Energy Convolutional Neural Networks (CNNs) using Hadamard Method.

Varun Mannam

Proceedings of the IEEE International Conference on Big Data, 2022

2021

Convolutional Neural Network Denoising in Fluorescence Lifetime Imaging Microscopy (FLIM).

Varun Mannam, Yide Zhang, Xiaotong Yuan, Takashi Hato, Pierre C. Dagher, Evan L. Nichols, Cody J. Smith, Kenneth W. Dunn, Scott S. Howard

CoRR, 2021

Deep learning-based super-resolution fluorescence microscopy on small datasets.

Varun Mannam, Yide Zhang, Xiaotong Yuan, Scott S. Howard

CoRR, 2021

2020

Packet Compressed Sensing Imaging (PCSI): Robust Image Transmission over Noisy Channels.

Scott S. Howard, Grant Barthelmes, Cara Ravasio, Lisa Huang, Benjamin Poag, Varun Mannam

CoRR, 2020

Machine learning for faster and smarter fluorescence lifetime imaging microscopy.

Varun Mannam, Yide Zhang, Xiaotong Yuan, Cara Ravasio, Scott S. Howard

CoRR, 2020

Performance Analysis of Semi-supervised Learning in the Small-data Regime using VAEs.

Varun Mannam, Arman Kazemi

CoRR, 2020