City-Wide Traffic Congestion Prediction Based on CNN, LSTM and Transpose CNN. - Navin Ranjan; Sovit Bhandari; Hong Ping Zhao; Hoon Kim; Pervez Khan (IEEE Access, 2020)

Deep Reinforcement Learning for Dynamic Spectrum Access in the Multi-Channel Wireless Local Area Networks. - Sovit Bhandari; Navin Ranjan; Yeong-Chan Kim; Hoon Kim (ICEIC, 2022)

Polycrystalline Silicon Wafer Scratch Segmentation based on Deep Convolutional Autoencoder. - Navin Ranjan; Sovit Bhandari; Yeong-Chan Kim; Hoon Kim (ICEIC, 2022)

A Fairness of Data Combination in Wireless Packet Scheduling. - Sovit Bhandari; Navin Ranjan; Yeong-Chan Kim; Pervez Khan; Hoon Kim (Sensors, 2022)

LRP-QViT: Mixed-Precision Vision Transformer Quantization via Layer-wise Relevance Propagation. - Navin Ranjan; Andreas E. Savakis (CoRR, 2024)

Waterfall Transformer for Multi-person Pose Estimation. - Navin Ranjan; Bruno Artacho; Andreas E. Savakis (CoRR, 2024)

Mix-QSAM: Mixed-Precision Quantization of the Segment Anything Model. - Navin Ranjan; Andreas E. Savakis (CVPR Workshops, 2025)

LRP-QViT: Mixed-Precision Vision Transformer Quantization Using Layer Importance Score. - Navin Ranjan; Andreas E. Savakis (DSP, 2025)

WTPose: Waterfall Transformer for Multi-person Pose Estimation. - Navin Ranjan; Bruno Artacho; Andreas E. Savakis (WACV (Workshops), 2025)

Mix-QViT: Mixed-Precision Vision Transformer Quantization Driven by Layer Importance and Quantization Sensitivity. - Navin Ranjan; Andreas E. Savakis (CoRR, 2025)