| 2026 | WACV | Countering Multi-modal Representation Collapse through Rank-targeted Fusion. | Seulgi Kim, Kiran Kokilepersaud, Mohit Prabhushankar, Ghassan AlRegib |
| 2025 | ICIP | Multi-Level and Multi-Modal Action Anticipation. | Seulgi Kim, Ghazal Kaviani, Mohit Prabhushankar, Ghassan AlRegib |
| 2025 | WACV | HEX: Hierarchical Emergence Exploitation in Self-Supervised Algorithms. | Kiran Kokilepersaud, Seulgi Kim, Mohit Prabhushankar, Ghassan AlRegib |
| 2024 | AAAI | Understanding and Leveraging the Learning Phases of Neural Networks. | Johannes Schneider, Mohit Prabhushankar |
| 2024 | CVPR | PointPrompt: A Multi-modal Prompting Dataset for Segment Anything Model. | Jorge Quesada, Mohammad Alotaibi, Mohit Prabhushankar, Ghassan AlRegib |
| 2024 | ICIP | Are Objective Explanatory Evaluation Metrics Trustworthy? An Adversarial Analysis. | Prithwijit Chowdhury, Mohit Prabhushankar, Ghassan AlRegib, Mohamed Deriche |
| 2024 | ICIP | Taxes are All You Need: Integration Of Taxonomical Hierarchy Relationships Into the Contrastive Loss. | Kiran Kokilepersaud, Yavuz Yarici, Mohit Prabhushankar, Ghassan AlRegib |
| 2024 | ICIP | Intelligent Multi-View Test Time Augmentation. | Efe Ozturk, Mohit Prabhushankar, Ghassan AlRegib |
| 2024 | ICIP | Explaining Representation Learning With Perceptual Components. | Yavuz Yarici, Kiran Kokilepersaud, Mohit Prabhushankar, Ghassan AlRegib |
| 2024 | ICML | Transitional Uncertainty with Layered Intermediate Predictions. | Ryan Benkert, Mohit Prabhushankar, Ghassan AlRegib |
| 2022 | ICIP | Forgetful Active Learning with Switch Events: Efficient Sampling for Out-of-Distribution Data. | Ryan Benkert, Mohit Prabhushankar, Ghassan AlRegib |
| 2022 | ICIP | Gradient-Based Severity Labeling for Biomarker Classification in Oct. | Kiran Kokilepersaud, Mohit Prabhushankar, Ghassan AlRegib, Stephanie Trejo Corona, Charles C. Wykoff |
| 2021 | ICIP | Extracting Causal Visual Features For Limited Label Classification. | Mohit Prabhushankar, Ghassan AlRegib |
| 2020 | ECCV | Backpropagated Gradient Representations for Anomaly Detection. | Gukyeong Kwon, Mohit Prabhushankar, Dogancan Temel, Ghassan AlRegib |
| 2020 | ICIP | Novelty Detection Through Model-Based Characterization of Neural Networks. | Gukyeong Kwon, Mohit Prabhushankar, Dogancan Temel, Ghassan AlRegib |
| 2020 | ICIP | Contrastive Explanations In Neural Networks. | Mohit Prabhushankar, Gukyeong Kwon, Dogancan Temel, Ghassan AlRegib |
| 2020 | ICIP | Implicit Saliency In Deep Neural Networks. | Yutong Sun, Mohit Prabhushankar, Ghassan AlRegib |
| 2019 | ICIP | Distorted Representation Space Characterization Through Backpropagated Gradients. | Gukyeong Kwon, Mohit Prabhushankar, Dogancan Temel, Ghassan AlRegib |
| 2018 | ICIP | Semantically Interpretable and Controllable Filter Sets. | Mohit Prabhushankar, Gukyeong Kwon, Dogancan Temel, Ghassan AlRegib |
| 2017 | ICIP | Generating adaptive and robust filter sets using an unsupervised learning framework. | Mohit Prabhushankar, Dogancan Temel, Ghassan AlRegib |