| 2025 | ICPRAM | Anomalous Event Detection in Traffic Audio. | Minakshee Shukla, Renu M. Rameshan, Shikha Gupta |
| 2021 | PCS | Learning-Based Practical Light Field Image Compression Using A Disparity-Aware Model. | Mohana Singh, Renu M. Rameshan |
| 2020 | ICPRAM | MaskADNet: MOTS Based on ADNet. | Anusha Aswath, Renu M. Rameshan |
| 2020 | ICPRAM | Hierarchical Traffic Sign Recognition for Autonomous Driving. | Vartika Sengar, Renu M. Rameshan, Senthil Ponkumar |
| 2020 | ICPRAM | End to End Deep Neural Network Classifier Design for Universal Sign Recognition. | Vartika Sengar, Renu M. Rameshan, Senthil Ponkumar |
| 2019 | CAIP | TRINet: Tracking and Re-identification Network for Multiple Targets in Egocentric Videos Using LSTMs. | Jyoti Nigam, Renu M. Rameshan |
| 2019 | ICPRAM | Analyzing the Linear and Nonlinear Transformations of AlexNet to Gain Insight into Its Performance. | Jyoti Nigam, Srishti Barahpuriya, Renu M. Rameshan |
| 2019 | ICPRAM | Predicting Group Convergence in Egocentric Videos. | Jyoti Nigam, Renu M. Rameshan |
| 2017 | CAIP | Object Triggered Egocentric Video Summarization. | Samriddhi Jain, Renu M. Rameshan, Aditya Nigam |
| 2017 | CVPR | EgoTracker: Pedestrian Tracking with Re-identification in Egocentric Videos. | Jyoti Nigam, Renu M. Rameshan |
| 2011 | ICIP | High dynamic range imaging under noisy observations. | Renu M. Rameshan, Subhasis Chaudhuri, Rajbabu Velmurugan |