no code implementations • 19 Apr 2023 • Rosaura G. VidalMata, Priscila Saboia, Daniel Moreira, Grant Jensen, Jason Schlessman, Walter J. Scheirer
To this end, we introduce an anomaly enhancement loss that, when used with a residual architecture, improves the performance of different detection algorithms with a minimal introduction of false positives on the non-manipulated data.
no code implementations • 29 Jan 2020 • Rosaura G. VidalMata, Walter J. Scheirer, Anna Kukleva, David Cox, Hilde Kuehne
Understanding the structure of complex activities in untrimmed videos is a challenging task in the area of action recognition.
no code implementations • 26 Jul 2019 • Sreya Banerjee, Rosaura G. VidalMata, Zhangyang Wang, Walter J. Scheirer
How can we effectively engineer a computer vision system that is able to interpret videos from unconstrained mobility platforms like UAVs?
no code implementations • 28 Jan 2019 • Rosaura G. VidalMata, Sreya Banerjee, Brandon RichardWebster, Michael Albright, Pedro Davalos, Scott McCloskey, Ben Miller, Asong Tambo, Sushobhan Ghosh, Sudarshan Nagesh, Ye Yuan, Yueyu Hu, Junru Wu, Wenhan Yang, Xiaoshuai Zhang, Jiaying Liu, Zhangyang Wang, Hwann-Tzong Chen, Tzu-Wei Huang, Wen-Chi Chin, Yi-Chun Li, Mahmoud Lababidi, Charles Otto, Walter J. Scheirer
From the observed results, it is evident that we are in the early days of building a bridge between computational photography and visual recognition, leaving many opportunities for innovation in this area.