| 2025 | ICASSP | Hedging Is Not All You Need: A Simple Baseline for Online Learning Under Haphazard Inputs. | Himanshu Buckchash, Momojit Biswas, Rohit Agarwal, Dilip K. Prasad |
| 2025 | ICCV | Rethinking Explainer Trust: A Position on the Inconsistencies of Visual Explanations in Weakly Supervised Segmentation. | Ayush Somani, Dilip K. Prasad |
| 2025 | ICCV | Explain with Confidence: Fusing Saliency Maps for Faithful and Interpretable Weakly-Supervised Model. | Ayush Somani, Arif Ahmed Sekh, Dilip K. Prasad |
| 2025 | IJCNN | Haphazard Inputs as Images in Online Learning. | Rohit Agarwal, Aryan Dessai, Arif Ahmed Sekh, Krishna Agarwal, Alexander Horsch, Dilip K. Prasad |
| 2025 | RANLP | LLM Compression: How Far Can We Go in Balancing Size and Performance? | Sahil Sk, Debashish Dhal, Sonal Khosla, Akash Dhaka, Shantipriya Parida, Sk Shahid, Sambit Shekhar, Dilip K. Prasad, Ondrej Bojar |
| 2024 | ICIP | Blend & Predict: Domain-Adaptable Few-Shot Learning for Microscopy Imaging. | Ayush Somani, Anshul Gupta, Arif Ahmed Sekh, Krishna Agarwal, Dilip K. Prasad |
| 2024 | ICPR | SeqToFunc - From Sequence to Protein Function Prediction Using Language Modeling. | Iqra Qasim, Alexander Horsch, Dilip K. Prasad |
| 2024 | ICPR | DNA Fragmentation Estimation Using Light-Weight Deep Learning Model. | Sudhanshu Rai, Samir Malakar, Dilip K. Prasad |
| 2024 | WACV | Partial Binarization of Neural Networks for Budget-Aware Efficient Learning. | Udbhav Bamba, Neeraj Anand, Saksham Aggarwal, Dilip K. Prasad, Deepak K. Gupta |
| 2023 | CVPR | Image Inpainting with Hypergraphs for Resolution Improvement in Scanning Acoustic Microscopy. | Ayush Somani, Pragyan Banerjee, Krishna Agarwal, Manu Rastogi, Dilip K. Prasad, Anowarul Habib |
| 2023 | ICASSP | Mabnet: Master Assistant Buddy Network With Hybrid Learning for Image Retrieval. | Rohit Agarwal, Gyanendra Das, Saksham Aggarwal, Alexander Horsch, Dilip K. Prasad |
| 2023 | ICASSP | On Designing Light-Weight Object Trackers Through Network Pruning: Use CNNS or Transformers? | Saksham Aggarwal, Taneesh Gupta, Pawan Kumar Sahu, Arnav Chavan, Rishabh Tiwari, Dilip K. Prasad, Deepak K. Gupta |
| 2022 | ICIP | Mapping Functional Changes in the Embryonic Heart of Atlantic Salmon Post Viral Infection Using AI Technique. | S. Chattopadhyay, A. Malachowski, Jaya Kumari Swain, R. A. Dalmo, Alexander Horsch, Dilip K. Prasad |
| 2022 | ICONIP | Auxiliary Network: Scalable and Agile Online Learning for Dynamic System with Inconsistently Available Inputs. | Rohit Agarwal, Krishna Agarwal, Alexander Horsch, Dilip K. Prasad |
| 2022 | ICRA | Learning-based Ellipse Detection for Robotic Grasps of Cylinders and Ellipsoids. | Huixu Dong, Jiadong Zhou, Chen Qiu, Dilip K. Prasad, I-Ming Chen |
| 2020 | CVPR | Learning Nanoscale Motion Patterns of Vesicles in Living Cells. | Arif Ahmed Sekh, Ida Sundvor Opstad, sa Birna Birgisdottir, Truls Myrmel, Balpreet Singh Ahluwalia, Krishna Agarwal, Dilip K. Prasad |
| 2020 | ECCV | Single Image Dehazing for a Variety of Haze Scenarios Using Back Projected Pyramid Network. | Ayush Singh, Ajay Bhave, Dilip K. Prasad |
| 2020 | IJCNN | GEMM-eMFIS (FRI/E): A Novel General Episodic Memory Mechanism For Fuzzy Neural Networks. | Sheng Wei Pang, Chai Quek, Dilip K. Prasad |
| 2018 | IROS | Efficient Pose Estimation from Single RGB-D Image via Hough Forest with Auto-Context. | Huixu Dong, Dilip K. Prasad, Qilong Yuan, Jiadong Zhou, Ehsan Asadi, I-Ming Chen |
| 2017 | ICIP | Robust ellipse detection via arc segmentation and classification. | Huixu Dong, I-Ming Chen, Dilip K. Prasad |
| 2016 | CVPR | Strategies for Resolving Camera Metamers Using 3+1 Channel. | Dilip K. Prasad |
| 2014 | CVPR | Raw-to-Raw: Mapping between Image Sensor Color Responses. | Nguyen Ho Man Rang, Dilip K. Prasad, Michael S. Brown |
| 2014 | ECCV | Training-Based Spectral Reconstruction from a Single RGB Image. | Nguyen Ho Man Rang, Dilip K. Prasad, Michael S. Brown |
| 2010 | ICIP | Reliability / precision uncertainity in shape fitting problems. | Dilip K. Prasad, Maylor K. H. Leung |