1 citations · 6 across the 10 of their papers we have counts for
10 papers
Find The Gap: Knowledge Base Reasoning For Visual Question Answering
Elham J. Barezi, Parisa Kordjamshidi
We analyze knowledge-based visual question answering, for which given a question, the models need to ground it into the visual modality and retrieve the relevant knowledge from a g…
Consistent Joint Decision-Making with Heterogeneous Learning Models
Hossein Rajaby Faghihi, Parisa Kordjamshidi
This paper introduces a novel decision-making framework that promotes consistency among decisions made by diverse models while utilizing external knowledge. Leveraging the Integer…
NavHint: Vision and Language Navigation Agent with a Hint Generator
Yue Zhang, Quan Guo, Parisa Kordjamshidi
Existing work on vision and language navigation mainly relies on navigation-related losses to establish the connection between vision and language modalities, neglecting aspects of…
GIPCOL: Graph-Injected Soft Prompting for Compositional Zero-Shot Learning
Guangyue Xu, Joyce Chai, Parisa Kordjamshidi
Pre-trained vision-language models (VLMs) have achieved promising success in many fields, especially with prompt learning paradigm. In this work, we propose GIP-COL (Graph-Injected…
Syntax-Guided Transformers: Elevating Compositional Generalization and Grounding in Multimodal Environments
Danial Kamali, Parisa Kordjamshidi
Compositional generalization, the ability of intelligent models to extrapolate understanding of components to novel compositions, is a fundamental yet challenging facet in AI resea…
MetaReVision: Meta-Learning with Retrieval for Visually Grounded Compositional Concept Acquisition
Guangyue Xu, Parisa Kordjamshidi, Joyce Chai
Humans have the ability to learn novel compositional concepts by recalling and generalizing primitive concepts acquired from past experiences. Inspired by this observation, in this…