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20212023
most citedExploring Corruption Robustness: Inductive Biases in Vision Transformers and MLP-Mixers

9 citations · 20 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2023★ 3 cited

Weakly-Supervised HOI Detection from Interaction Labels Only and Language/Vision-Language Priors

Mesut Erhan Unal, Adriana Kovashka

Human-object interaction (HOI) detection aims to extract interacting human-object pairs and their interaction categories from a given natural image. Even though the labeling effort…

cs.CV2022★ 2 cited

Symbolic image detection using scene and knowledge graphs

Nasrin Kalanat, Adriana Kovashka

Sometimes the meaning conveyed by images goes beyond the list of objects they contain; instead, images may express a powerful message to affect the viewers' minds. Inferring this m…

cs.CL2021★ 3 cited

Visual Persuasion in COVID-19 Social Media Content: A Multi-Modal Characterization

Mesut Erhan Unal, Adriana Kovashka, Wen-Ting Chung +1

Social media content routinely incorporates multi-modal design to covey information and shape meanings, and sway interpretations toward desirable implications, but the choices and…

cs.SI2021★ 3 cited

Characterizing User Susceptibility to COVID-19 Misinformation on Twitter

Xian Teng, Yu-Ru Lin, Wen-Ting Chung +2

Though significant efforts such as removing false claims and promoting reliable sources have been increased to combat COVID-19 "misinfodemic", it remains an unsolved societal chall…

cs.CV2021★ 9 cited

Exploring Corruption Robustness: Inductive Biases in Vision Transformers and MLP-Mixers

Katelyn Morrison, Benjamin Gilby, Colton Lipchak +2

Recently, vision transformers and MLP-based models have been developed in order to address some of the prevalent weaknesses in convolutional neural networks. Due to the novelty of…