Professor Ghanem's research interests focus on topics in computer vision, machine learning, and image processing. They include:
- Modeling dynamic objects in video sequences to improve motion segmentation, video compression, video registration, motion estimation, and activity recognition.
- Developing efficient optimization and randomization techniques for large-scale computer vision and machine learning problems.
- Exploring novel means of involving human judgment to develop more effective and perceptually-relevant recognition and compression techniques.
- Developing frameworks for joint representation and classification by exploiting data sparsity and low-rankness.