no code implementations • ICCV 2023 • Koutilya PNVR, Bharat Singh, Pallabi Ghosh, Behjat Siddiquie, David Jacobs
First, we show that the latent space of LDMs (z-space) is a better input representation compared to other feature representations like RGB images or CLIP encodings for text-based image segmentation.
no code implementations • 14 Feb 2023 • Siddhesh Khandelwal, Anirudth Nambirajan, Behjat Siddiquie, Jayan Eledath, Leonid Sigal
Methods for object detection and segmentation often require abundant instance-level annotations for training, which are time-consuming and expensive to collect.
1 code implementation • CVPR 2021 • Mohammed Suhail, Abhay Mittal, Behjat Siddiquie, Chris Broaddus, Jayan Eledath, Gerard Medioni, Leonid Sigal
The proposed formulation allows for efficiently incorporating the structure of scene graphs in the output space.
Ranked #3 on Scene Graph Classification on Visual Genome (R@20 metric)
no code implementations • 6 May 2015 • Mohamed R. Amer, Behjat Siddiquie, Amir Tamrakar, David A. Salter, Brian Lande, Darius Mehri, Ajay Divakaran
We present a novel approach to computational modeling of social interactions based on modeling of essential social interaction predicates (ESIPs) such as joint attention and entrainment.