Integration of Geometric and Non-Geometric Attributes for Fast Object Recognition. - Lynne L. Grewe; Avinash C. Kak (Int. J. Pattern Recognit. Artif. Intell., 1994)

Interactive Learning of a Multiple-Attribute Hash Table Classifier for Fast Object Recognition. - Lynne L. Grewe; Avinash C. Kak (Comput. Vis. Image Underst., 1995)

On localization of objects in the wavelet domain. - Lynne L. Grewe; Richard R. Brooks (CIRA, 1997)

Effective Computer Vision Instruction Through Experimental Learning Experiences. - Lynne L. Grewe (Int. J. Pattern Recognit. Artif. Intell., 2001)

Recognition in the wavelet domain: A survey. - Richard R. Brooks; Lynne L. Grewe; S. Sitharama Iyengar (J. Electronic Imaging, 2001)

Change detection for linear features in aerial photographs using edge-finding. - Neil C. Rowe; Lynne L. Grewe (IEEE Trans. Geosci. Remote. Sens., 2001)

Metrics of a system for disaster relief. - Lynne L. Grewe; Shruti Krishnagiri; John Cristobal (VECIMS, 2008)

Assisting with frustration in learning via machine learning and computer vision. - Lynne L. Grewe; Chengzi Hu (ACM TUR-C, 2019)

Seeing eye drone: a deep learning, vision-based UAV for assisting the visually impaired with mobility. - Lynne L. Grewe; Garrett Stevenson (ACM TUR-C, 2019)

Faculty in Residence: Improving Preparedness of Underrepresented Students in Computing. - Alvaro E. Monge; Jaye Espy; Lynne L. Grewe; Susan Wang (RESPECT, 2020)

Industry and Academic Collaboration: Google Faculty in Residence Experiences. - Lynne L. Grewe; Kathy Kanemoto; Susan Wang; Jaye Espy (SIGCSE, 2020)

Broadening Participation in Computing: The Critical Role of Community Colleges. - Amardeep Kahlon; Beth A. Quinn; Lynne L. Grewe; Lisa Sandoval; Deborah Boisvert (SIGCSE, 2020)