Varun Mannam - RankMe

13 papers B 1Journal 12

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Efficient Retail Video Annotation: A Robust Key Frame Generation Approach for Product and Customer Interaction Analysis. CoRR Varun Mannam, Zhenyu Shi
2025	J	`jnl`	Evaluating VisualRAG: Quantifying Cross-Modal Performance in Enterprise Document Understanding. CoRR Varun Mannam, Fang Wang, Xin Chen
2025	J	`jnl`	TalentMine: LLM-Based Extraction and Question-Answering from Multimodal Talent Tables. CoRR Varun Mannam, Fang Wang, Chaochun Liu, Xin Chen
2024	J	`jnl`	Knowledge Graph Enhanced Language Agents for Recommendation. CoRR Taicheng Guo, Chaochun Liu, Hai Wang, Varun Mannam, Fang Wang, Xin Chen, Xiangliang Zhang, Chandan K. Reddy
2023	J	`jnl`	Improving fluorescence lifetime imaging microscopy phasor accuracy using convolutional neural networks. Frontiers Bioinform. Varun Mannam, Jacob Brandt, Cody J. Smith, Xiaotong Yuan, Scott S. Howard
2022	J	`jnl`	Low dosage 3D volume fluorescence microscopy imaging using compressive sensing. CoRR Varun Mannam, Jacob Brandt, Cody J. Smith, Scott S. Howard
2022	B	`conf`	Low-Energy Convolutional Neural Networks (CNNs) using Hadamard Method. IEEE Big Data Varun Mannam
2022	J	`jnl`	Low-Energy Convolutional Neural Networks (CNNs) using Hadamard Method. CoRR Varun Mannam
2021	J	`jnl`	Convolutional Neural Network Denoising in Fluorescence Lifetime Imaging Microscopy (FLIM). CoRR Varun Mannam, Yide Zhang, Xiaotong Yuan, Takashi Hato, Pierre C. Dagher, Evan L. Nichols, Cody J. Smith, Kenneth W. Dunn, Scott S. Howard
2021	J	`jnl`	Deep learning-based super-resolution fluorescence microscopy on small datasets. CoRR Varun Mannam, Yide Zhang, Xiaotong Yuan, Scott S. Howard
2020	J	`jnl`	Machine learning for faster and smarter fluorescence lifetime imaging microscopy. CoRR Varun Mannam, Yide Zhang, Xiaotong Yuan, Cara Ravasio, Scott S. Howard
2020	J	`jnl`	Packet Compressed Sensing Imaging (PCSI): Robust Image Transmission over Noisy Channels. CoRR Scott S. Howard, Grant Barthelmes, Cara Ravasio, Lisa Huang, Benjamin Poag, Varun Mannam
2020	J	`jnl`	Performance Analysis of Semi-supervised Learning in the Small-data Regime using VAEs. CoRR Varun Mannam, Arman Kazemi