Search Results for author: Behjat Siddiquie

Found 4 papers, 1 papers with code

LD-ZNet: A Latent Diffusion Approach for Text-Based Image Segmentation

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.

Image Classification Image Segmentation +2

Frustratingly Simple but Effective Zero-shot Detection and Segmentation: Analysis and a Strong Baseline

no code implementations14 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.

Object object-detection +3

Human Social Interaction Modeling Using Temporal Deep Networks

no code implementations6 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.

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