An improved technique for Night-time Vehicle detection. - Chakka Sai Pradeep; R. Ramanathan 001 (ICACCI, 2018)

Spatio-Temporal Features Based Surgical Phase Classification Using CNNs. - Chakka Sai Pradeep; Neelam Sinha (EMBC, 2021)

Multi-stage Transfer Learning Based Yoga Pose Recognition Using CNN. - Chakka Sai Pradeep; Neelam Sinha (PReMI, 2021)

Fused Multilayer Layer-CAM Fine-Grained Spatial Feature Supervision for Surgical Phase Classification Using CNNs. - Chakka Sai Pradeep; Neelam Sinha (ECCV Workshops (6), 2022)

The Complex-valued PD-net for MRI reconstruction of knee images. - Poornima Jain; Chakka Sai Pradeep; Neelam Sinha (EMBC, 2022)

Supervised Contrastive Multi-tasking Learning Based Hierarchical Yoga Pose Classification Using CNNs. - Sai Pradeep Chakka; Neelam Sinha (ICVGIP, 2022)

Multi-Tasking DSSD Architecture for Laparoscopic Cholecystectomy Surgical Assistance Systems. - Chakka Sai Pradeep; Neelam Sinha (ISBI, 2022)

Temporal Surgical Gesture Segmentation and Classification in Multi-gesture Robotic Surgery using Fine-tuned features and Calibrated MS-TCN. - Snigdha Agarwal; Chakka Sai Pradeep; Neelam Sinha (SPCOM, 2022)

CAM Based Fine-grained Spatial Feature Supervision On Surgical-PPE: A New Dataset For Surgical PPE Kit Presence Detection. - Chakka Sai Pradeep; Neelam Sinha (EMBC, 2023)

Measuring Deviation from Stochasticity in Time-Series Using Autoencoder Based Time-Invariant Representation: Application to Black Hole Data. - Chakka Sai Pradeep; Neelam Sinha; Banibrata Mukhopadhyay (ICASSP, 2023)

Identifying Stochasticity in Time-Series with Autoencoder-Based Content-aware 2D Representation: Application to Black Hole Data. - Chakka Sai Pradeep; Neelam Sinha (CoRR, 2023)

Identification of Stochasticity by Matrix-decomposition: Applied on Black Hole Data. - Sai Pradeep Chakka; Sunil Kumar Vengalil; Neelam Sinha (CoRR, 2023)

Time-Invariant Latent Space Signatures for Enhanced Time-Frequency Domain Representation. - Chakka Sai Pradeep; Neelam Sinha (IJCNN, 2024)

Localizing and Assessing Node Significance in Default Mode Network Using Sub-Community Detection in Mild Cognitive Impairment. - Ameiy Acharya; Chakka Sai Pradeep; Neelam Sinha (ISBI, 2024)

MCI Detection Using FMRI Time Series Embeddings of Recurrence Plots. - Ninad Aithal; Chakka Sai Pradeep; Neelam Sinha (ISBI, 2024)

Identification of Stochasticity by Matrix-Decomposition: Applied on Black Hole Data. - Chakka Sai Pradeep; Neelam Sinha (SPCOM, 2024)

Classification of Alzheimer's Dementia vs. Healthy subjects by studying structural disparities in fMRI Time-Series of DMN. - Sneha Noble; Chakka Sai Pradeep; Neelam Sinha; Thomas Gregor Issac (CoRR, 2024)

CAM based fine-grained spatial feature supervision for hierarchical yoga pose classification using multi-stage transfer learning. - Sai Pradeep Chakka; Neelam Sinha (Expert Syst. Appl., 2024)