Current Doctoral Students:
- Sarah Loewy, Ph.D. student, Topic: Matching and Recognition under Varying Lighting Conditions, started spring 2012.
- Kristian Damkjer, Topic: Lidar data reduction and Compressive Sensing, fall 2012.
- Felix Fontan, Super-resolution of Hyperspectral Imagery, fall 2013.
- Min Wang, Efficient Deep Learning Architectures, fall 2013.
- Marjaneh Safaei, Single Image Action Recognition, spring 2013.
- Pooyan Balouchian, Emotion Analysis in Images, spring 2013.
- Sangwoo Cho, Confluence of Computer Vision, Natural Language Processing, and Depp Learning, Fall 2015.
- Amir Emad Marvasti, Theory of Deep Learning, Fall 2015.
- Sina Lotfian, Invariant Object Recognition, Tracking, and Matching, Fall 2015.
- Yang Zhang, Semantic Segmentation using Deep Learning, Spring 2018
- Zixiang Zhou, Polarized Stereo Imaging, Fall 2018
- Shengnan Hu, Adversarial Models in Deep Learning, Fall 2018
- Sumit Laha, Polarized Stereo Imaging, Fall 2018
- Hasan Maqbool, Deep Learning in Medical Imaging, Fall 2018