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Dr. Shah elected to the National Academy of Inventors

December 13, 2019
Dr. Mubarak Shah is to be inducted into the National Academy of Inventors as a fellow on April 10, 2020.  The fellows selection committee cited Dr. Shah as having “demonstrated a highly prolific spirit of innovation in creating or facilitating outstanding inventions that have made a tangible impact on the quality of life, economic development, […]

Irene Tanner recommended for Honors Undergraduate Thesis Scholarship

October 24, 2019
The College of Engineering and Computer Science has recommended to The Burnett Honors College that Irene Tanner receive an Honors Undergraduate Scholarship (HUT) for her research accomplishments and completion of the honors thesis. Irene’s honors thesis is about finding obesity and cancer link with deep learning algorithms, working under CRCV Professor, Ulas Bagci in collaboration […]

Our ICCV 2019 Papers

September 12, 2019
Paper:            Bridging the Domain Gap for Ground-to-Aerial Image Matching  Presentation:   Paper:           Deep Constrained Dominant Sets for Person Re-Identification Presentation:   Paper:           CapsuleVOS: Semi-Supervised Video Object Segmentation Using Capsule Routing Presentation:

CRCV Assistant Professor Dr. Abhijit Mahalanobis selected for NSF Young Faculty Award

August 29, 2019
The objective of the DARPA Young Faculty Award (YFA) program is to identify and engage rising stars in junior research positions, emphasizing those without prior DARPA funding, and expose them to DoD needs and DARPA’s program development process. The YFA program provides funding, mentoring and industry and DoD contacts to awardees early in their careers […]

Dr. Shah wins Prestigious ACM SIGMM Award

August 6, 2019
Trustee chair professor Dr. Mubarak Shah is the 2019 winner of the prestigious ACM SIGMM award for Outstanding Technical Contributions to Multimedia Computing, Communications and Applications. Dr. Shah was selected for this award for his “outstanding and pioneering and continued research contributions in the areas of multimedia content analysis and multimedia applications, for leadership in […]

Capsule Networks for Computer Vision – CVPR 2019 Tutorial

June 17, 2019
A capsule network provides an effective way to model part-to-whole relationships between entities and allows to learn viewpoint invariant representations. Through this improved representation learning, capsule networks are able to achieve good performance in multiple domains with a drastic decrease in the number of parameters. Recently, capsule networks have shown state-of-the-art results for human action […]