5 citations · 9 across the 3 of their papers we have counts for
4 papers
LD-ZNet: A Latent Diffusion Approach for Text-Based Image Segmentation
Koutilya Pnvr, Bharat Singh, Pallabi Ghosh +2
Large-scale pre-training tasks like image classification, captioning, or self-supervised techniques do not incentivize learning the semantic boundaries of objects. However, recent…
Frustratingly Simple but Effective Zero-shot Detection and Segmentation: Analysis and a Strong Baseline
Siddhesh Khandelwal, Anirudth Nambirajan, Behjat Siddiquie +2
Methods for object detection and segmentation often require abundant instance-level annotations for training, which are time-consuming and expensive to collect. To address this, th…
Energy-Based Learning for Scene Graph Generation
Mohammed Suhail, Abhay Mittal, Behjat Siddiquie +4
Traditional scene graph generation methods are trained using cross-entropy losses that treat objects and relationships as independent entities. Such a formulation, however, ignores…
Human Social Interaction Modeling Using Temporal Deep Networks
Mohamed R. Amer, Behjat Siddiquie, Amir Tamrakar +4
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 entrai…