An Adaptive Video Acquisition Scheme for Object Tracking. - Srutarshi Banerjee; Juan G. Serra; Henry H. Chopp; Oliver Cossairt; Aggelos K. Katsaggelos (EUSIPCO, 2019)

Quadtree Driven Lossy Event Compression. - Srutarshi Banerjee; Zihao W. Wang; Henry H. Chopp; Oliver Cossairt; Aggelos K. Katsaggelos (CoRR, 2020)

Lossy Event Compression Based On Image-Derived Quad Trees And Poisson Disk Sampling. - Srutarshi Banerjee; Zihao W. Wang; Henry H. Chopp; Oliver Cossairt; Aggelos K. Katsaggelos (ICIP, 2021)

Human Vision-Like Robust Object Recognition. - Peng Kang; Hao Hu; Srutarshi Banerjee; Henry Chopp; Aggelos K. Katsaggelos; Oliver Cossairt (ICIP, 2021)

Removing Blocking Artifacts in Video Streams Using Event Cameras. - Henry H. Chopp; Srutarshi Banerjee; Oliver Cossairt; Aggelos K. Katsaggelos (CoRR, 2021)

Event - Driven Tactile Learning with Location Spiking Neurons. - Peng Kang; Srutarshi Banerjee; Henry Chopp; Aggelos K. Katsaggelos; Oliver Cossairt (IJCNN, 2022)

Event-Driven Tactile Learning with Various Location Spiking Neurons. - Peng Kang; Srutarshi Banerjee; Henry Chopp; Aggelos K. Katsaggelos; Oliver Cossairt (CoRR, 2022)

Spiking GLOM: Bio-Inspired Architecture for Next-Generation Object Recognition. - Peng Kang; Srutarshi Banerjee; Henry Chopp; Aggelos K. Katsaggelos; Oliver Cossairt (ICIP, 2023)

Event-based Shape from Polarization with Spiking Neural Networks. - Peng Kang; Srutarshi Banerjee; Henry Chopp; Aggelos K. Katsaggelos; Oliver Cossairt (CoRR, 2023)

FCDM: Sparse-view Sinogram Inpainting with Frequency Domain Convolution Enhanced Diffusion Models. - Jiaze E; Srutarshi Banerjee; Tekin Bicer; Guannan Wang; Bin Ren (CoRR, 2024)

Identifying Defects without a priori Knowledge in a Room-Temperature Semiconductor Detector Using Physics Inspired Machine Learning Model. - Srutarshi Banerjee; Miesher Rodrigues; Manuel Ballester; Alexander Hans Vija; Aggelos K. Katsaggelos (Sensors, 2024)

A Joint Intensity-Neuromorphic Event Imaging System With Bandwidth-Limited Communication Channel. - Srutarshi Banerjee; Henry H. Chopp; Jianping Zhang; Zihao W. Wang; Peng Kang; Oliver Cossairt; Aggelos K. Katsaggelos (IEEE Trans. Neural Networks Learn. Syst., 2024)

An Exploration of a Heterogeneous Neural Configuration of SNNs. - George Evans; Karan P. Patel; Catherine D. Schuman; Garrett S. Rose; Srutarshi Banerjee; Hritom Das (ACM Great Lakes Symposium on VLSI, 2025)

HiSin: Efficient High-Resolution Sinogram Inpainting via Resolution-Guided Progressive Inference. - Jiaze E; Srutarshi Banerjee; Tekin Bicer; Guannan Wang; Yanfu Zhang; Bin Ren (CoRR, 2025)