no code implementations • 14 Dec 2023 • Ljubisa Bojic, Matteo Cinelli, Dubravko Culibrk, Boris Delibasic
This paper explores the potential of a multidisciplinary approach to testing and aligning artificial general intelligence (AGI) and LLMs.
no code implementations • 14 Mar 2020 • Djordje Batic, Dubravko Culibrk
We present the results of an initial study focused on developing a visual AI solution able to recognize individual dogs in unconstrained (wild) images occurring on social media.
1 code implementation • 24 May 2016 • Enver Sangineto, Moin Nabi, Dubravko Culibrk, Nicu Sebe
The main idea is to iteratively select a subset of images and boxes that are the most reliable, and use them for training.
Ranked #31 on Weakly Supervised Object Detection on PASCAL VOC 2007
1 code implementation • ICCV 2015 • Mihai Marian Puscas, Enver Sangineto, Dubravko Culibrk, Nicu Sebe
The combination of appearance-based static ''objectness'' (Selective Search), motion information (Dense Trajectories) and transductive learning (detectors are forced to "overfit" on the unsupervised data used for training) makes the proposed approach extremely robust.