no code implementations • 23 Oct 2022 • Shubham Dokania, A. H. Abdul Hafez, Anbumani Subramanian, Manmohan Chandraker, C. V. Jawahar
Autonomous driving and assistance systems rely on annotated data from traffic and road scenarios to model and learn the various object relations in complex real-world scenarios.
1 code implementation • 16 Aug 2022 • Shubham Dokania, Anbumani Subramanian, Manmohan Chandraker, C. V. Jawahar
We show that using annotations and visual cues from existing datasets, we can facilitate automated multi-modal data generation, mimicking real scene properties with high-fidelity, along with mechanisms to diversify samples in a physically meaningful way.
no code implementations • 23 Oct 2019 • Shubham Dokania, Vasudev Singh
Music genre is arguably one of the most important and discriminative information for music and audio content.
no code implementations • 12 Sep 2017 • Shubham Dokania, Sunyam Bagga, Rohit Sharma
Self Organizing Migrating Algorithm (SOMA) is a meta-heuristic algorithm based on the self-organizing behavior of individuals in a simulated social environment.
no code implementations • 17 Feb 2017 • Shubham Dokania, Ayush Chopra, Feroz Ahmad, Anil Singh Parihar
In the present work, we introduce an algorithm for mathematical optimisation that derives its intuition from the hierarchical and distributed operations of the human motor system.