no code implementations • 30 Nov 2022 • Pranjali Pathre, Anurag Sahu, Ashwin Rao, Avinash Prabhu, Meher Shashwat Nigam, Tanvi Karandikar, Harit Pandya, K. Madhava Krishna
To the best of our knowledge, this is the first such work to portray a 3D rendering of a warehouse scene in terms of its semantic components - Racks, Shelves and Objects - all from a single monocular camera.
1 code implementation • 26 Apr 2021 • Stanislava Fedorova, Alberto Tono, Meher Shashwat Nigam, Jiayao Zhang, Amirhossein Ahmadnia, Cecilia Bolognesi, Dominik L. Michels
The variety of annotations, the flexibility to customize the generated building and dataset parameters make this framework suitable for multiple deep learning tasks, including geometric deep learning that requires direct 3D supervision.
1 code implementation • 16 Mar 2021 • Meher Shashwat Nigam, Avinash Prabhu, Anurag Sahu, Puru Gupta, Tanvi Karandikar, N. Sai Shankar, Ravi Kiran Sarvadevabhatla, K. Madhava Krishna
Given a monocular colour image of a warehouse rack, we aim to predict the bird's-eye view layout for each shelf in the rack, which we term as multi-layer layout prediction.