| Distributed sensor networks SS Iyengar, RR Brooks CRC press, 2004 | 208 | 2004 |
| Change detection for linear features in aerial photographs using edge-finding NC Rowe, LL Grewe IEEE Transactions on Geoscience and Remote Sensing 39 (7), 1608-1612, 2001 | 85 | 2001 |
| Atmospheric attenuation reduction through multisensor fusion LL Grewe, RR Brooks Sensor Fusion: Architectures, Algorithms, and Applications II 3376, 102-109, 1998 | 76 | 1998 |
| Interactive learning of a multiple-attribute hash table classifier for fast object recognition L Grewe, AC Kak Computer Vision and Image Understanding 61 (3), 387-416, 1995 | 64 | 1995 |
| Recognition in the wavelet domain: a survey RR Brooks, LL Grewe, SS Iyengar Journal of Electronic imaging 10 (3), 757-785, 2001 | 57 | 2001 |
| OpenSocial Network Programming L Grewe John Wiley & Sons, 2009 | 28 | 2009 |
| Summary of human social, cultural, behavioral (HSCB) modeling for information fusion panel discussion E Blasch, J Salerno, I Kadar, SJ Yang, L Fenstermacher, M Endsley, ... Signal Processing, Sensor Fusion, and Target Recognition XXII 8745, 87451I, 2013 | 27 | 2013 |
| Stereo vision LL Grewe, AC Kak Handbook of pattern recognition and image processing (vol. 2), 239-317, 1994 | 26 | 1994 |
| Panel summary of cyber-physical systems (CPS) and Internet of Things (IoT) opportunities with information fusion E Blasch, I Kadar, LL Grewe, R Brooks, W Yu, A Kwasinski, ... Signal Processing, Sensor/Information Fusion, and Target Recognition XXVI …, 2017 | 22 | 2017 |
| Distributed sensor networks DB Rubin, JB Carlin, SS Iyengar, RR Brooks CRC Press, 2014 | 21* | 2014 |
| Seeing eye drone: a deep learning, vision-based UAV for assisting the visually impaired with mobility L Grewe, G Stevenson Proceedings of the ACM Turing Celebration Conference-China, 1-5, 2019 | 17 | 2019 |
| Seeing Eye Drone: A Deep Learning, Vision-based UAV for Assisting the Visually Impaired with Mobility LGG Stevenson ACM Turing Conference APP, 2019 | 17* | 2019 |
| Stereo Vision. Handbook of Pattern Recognition and Image Processing: Computer Vision LL Grewe, AC Kak Academic Press, 1994 | 14 | 1994 |
| ULearn: understanding and reacting to student frustration using deep learning, mobile vision and NLP L Grewe, C Hu Signal Processing, Sensor/Information Fusion, and Target Recognition XXVIII …, 2019 | 13 | 2019 |
| Deep learning in AI and information fusion panel discussion E Blasch, I Kadar, LL Grewe, G Stevenson, UK Majumder, CY Chong Signal Processing, Sensor/Information Fusion, and Target Recognition XXVIII …, 2019 | 13 | 2019 |
| Target Tracking Using Probabilistic Data Association Based Techniques with Applications to Sonar, Radar, and EO Sensors T Kirubarajan, Y Bar-Shalom Handbook of multisensor data fusion, 2011 | 13* | 2011 |
| Integration of geometric and non-geometric attributes for fast object recognition L Grewe, AVI KAK Applications Of Ai, Machine Vision And Robotics, 139-169, 1995 | 12 | 1995 |
| Efficient registration in the compressed domain LL Grewe, RR Brooks Wavelet Applications VI 3723, 104-113, 1999 | 11 | 1999 |
| On localization of objects in the wavelet domain L Grewe, RR Brooks Proceedings 1997 IEEE International Symposium on Computational Intelligence …, 1997 | 11 | 1997 |
| Interactive learning of multiple attribute hash table for fast 3d object recognition L Grewe, A Kak Proceedings of 1994 IEEE 2nd CAD-Based Vision Workshop, 17-27, 1994 | 9 | 1994 |
