Fetching the paper…
Reading the bibliography…
Is aesthetic impact different from beauty? Is visual salience a reflection of its capacity for effective communication? We present Impressions, a novel dataset through which to investigate the semiotics of images, and how specific visual features and design choices can elicit specific emotions, thoughts and beliefs.
Natural language understanding with the quora question pairs dataset
Lakshay Sharma, Laura Graesser, Nikita Nangia, and Utku Evci. 2019 · 1907
Earlier work this paper cites.
Speech acts
JL Austin. 1962 · 1962
Earlier work this paper cites.
Mythologies
Ronald Barthes. 1972 · 1972
Earlier work this paper cites.
Ways of seeing
John Berger. 1972 · 1972
Earlier work this paper cites.
A primer of visual literacy
Donis A Dondis. 1974 · 1974
Earlier work this paper cites.
21 for the 21st century: America’s best newspapers
Susan Teitz. 1999 · 1999
Earlier work this paper cites.
Methods and theories of art history
Anne d’Alleva. 2005 · 2005
Earlier work this paper cites.
Automatically constructing a corpus of sentential paraphrases
Bill Dolan and Chris Brockett. 2005 · 2005
Earlier work this paper cites.
Studying aesthetics in photographic images using a computational approach
Ritendra Datta, Dhiraj Joshi, Jia Li, and James Z Wang. 2006 · 2006
Earlier work this paper cites.
The design of high-level features for photo quality assessment
Yan Ke, Xiaoou Tang, and Feng Jing. 2006 · 2006
Earlier work this paper cites.
Reading and researching photographs
Helena Zinkham. 2006 · 2006
Earlier work this paper cites.
Visualization rhetoric: Framing effects in narrative visualization
Jessica Hullman and Nick Diakopoulos. 2011 · 2011
Earlier work this paper cites.
What if the rankers ranked newspapers?
Daniel de Vise. 2011 · 2011
Earlier work this paper cites.
Political visions: Visual studies in political communication
Kevin G Barnhurst and Kelly Quinn. 2012 · 2012
Earlier work this paper cites.
Ava: A large-scale database for aesthetic visual analysis
Naila Murray, Luca Marchesotti, and Florent Perronnin. 2012 · 2012
Earlier work this paper cites.
44Marketing Semiotics
Laura R. Oswald. 2012 · 2012
Earlier work this paper cites.
The burden of visual truth: The role of photojournalism in mediating reality
Julianne Newton. 2013 · 2013
Earlier work this paper cites.
Jenaesthetics subjective dataset: analyzing paintings by subjective scores
Seyed Ali Amirshahi, Gregor Uwe Hayn-Leichsenring, Joachim Denzler, and Christoph Redies. 2015 · 2014
Earlier work this paper cites.
Concreteness ratings for 40 thousand generally known english word lemmas
Marc Brysbaert, Amy Beth Warriner, and Victor Kuperman. 2014 · 2014
Earlier work this paper cites.
Visual persuasion: Inferring communicative intents of images
Jungseock Joo, Weixin Li, Francis F. Steen, and Song-Chun Zhu. 2014 · 2014
Earlier work this paper cites.
Painting-91: a large scale database for computational painting categorization
Fahad Shahbaz Khan, Shida Beigpour, Joost Van de Weijer, and Michael Felsberg. 2014 · 2014
Earlier work this paper cites.
From image descriptions to visual denotations: New similarity metrics for semantic inference over event descriptions
Peter Young, Alice Lai, Micah Hodosh, and Julia Hockenmaier. 2014 · 2014
Earlier work this paper cites.
Vqa: Visual question answering
Stanislaw Antol, Aishwarya Agrawal, Jiasen Lu, Margaret Mitchell, Dhruv Batra, C Lawrence Zitnick, and Devi Parikh. 2015 · 2015
Earlier work this paper cites.
Microsoft coco captions: Data collection and evaluation server
Xinlei Chen, Hao Fang, Tsung-Yi Lin, Ramakrishna Vedantam, Saurabh Gupta, Piotr Dollar, and C. Lawrence Zitnick. 2015 · 2015
Earlier work this paper cites.
A clearer picture: The contribution of visuals and text to framing effects
Thomas E Powell, Hajo G Boomgaarden, Knut De Swert, and Claes H De Vreese. 2015 · 2015
Cited alongside, same era.
Cider: Consensus-based image description evaluation
Ramakrishna Vedantam, C. Lawrence Zitnick, and Devi Parikh. 2015 · 2015
Cited alongside, same era.
Reasoning about pragmatics with neural listeners and speakers
Jacob Andreas and Dan Klein. 2016 · 2016
Cited alongside, same era.
Pandora: Description of a painting database for art movement recognition with baselines and perspectives
Corneliu Florea, Răzvan Condorovici, Constantin Vertan, Raluca Butnaru, Laura Florea, and Ruxandra Vrânceanu. 2016 · 2016
Cited alongside, same era.
Stereotyping and bias in the flickr30k dataset
Emiel Van Miltenburg. 2016 · 2016
Cited alongside, same era.
Interpreting the rhetoric of visual advertisements
Keren Ye, Narges Honarvar Nazari, James Hahn, Zaeem Hussain, Mingda Zhang, and Adriana Kovashka. 2019 · 2019
Later among the works it cites.
Social-iq: A question answering benchmark for artificial social intelligence
Amir Zadeh, Michael Chan, Paul Pu Liang, Edmund Tong, and Louis-Philippe Morency. 2019 · 2019
Later among the works it cites.
From recognition to cognition: Visual commonsense reasoning
Rowan Zellers, Yonatan Bisk, Ali Farhadi, and Yejin Choi. 2019 · 2019
Later among the works it cites.
Paws: Paraphrase adversaries from word scrambling
Yuan Zhang, Jason Baldridge, and Luheng He. 2019 · 2019
Later among the works it cites.
Automated visual content analysis (avca) in communication research: A protocol for large scale image classification with pre-trained computer vision models
Theo Araujo, Irina Lock, and Bob van de Velde. 2020 · 2020
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Arjun Chandrasekaran, Devi Parikh, and Mohit Bansal. 2017 · 2017
Cited alongside, same era.
Aesthetic critiques generation for photos
Kuang-Yu Chang, Kung-Hung Lu, and Chu-Song Chen. 2017 · 2017
Cited alongside, same era.
Visual dialog
Abhishek Das, Satwik Kottur, Khushi Gupta, Avi Singh, Deshraj Yadav, Jose M. F. Moura, Devi Parikh, and Dhruv Batra. 2017 · 2017
Cited alongside, same era.
Stylenet: Generating attractive visual captions with styles
Chuang Gan, Zhe Gan, Xiaodong He, Jianfeng Gao, and Li Deng. 2017 · 2017
Cited alongside, same era.
Making the v in vqa matter: Elevating the role of image understanding in visual question answering
Yash Goyal, Tejas Khot, Douglas Summers-Stay, Dhruv Batra, and Devi Parikh. 2017 · 2017
Cited alongside, same era.
spaCy 2: Natural language understanding with Bloom embeddings, convolutional neural networks and incremental parsing
Matthew Honnibal and Ines Montani. 2017 · 2017
Cited alongside, same era.
Visual genome: Connecting language and vision using crowdsourced dense image annotations
Ranjay Krishna, Yuke Zhu, Oliver Groth, Justin Johnson, Kenji Hata, Joshua Kravitz, Stephanie Chen, Yannis Kalantidis, Li-Jia Li, David A. Shamma, Michael S. Bernstein, and Li Fei-Fei. 2017 · 2017
Cited alongside, same era.
Marcella Cornia, Matteo Stefanini, Lorenzo Baraldi, and Rita Cucchiara. 2020 · 2020
Later among the works it cites.
A dataset and baselines for visual question answering on art
Noa Garcia, Chentao Ye, Zihua Liu, Qingtao Hu, Mayu Otani, Chenhui Chu, Yuta Nakashima, and Teruko Mitamura. 2020 · 2020
Later among the works it cites.
BART: Denoising sequence-to-sequence pre-training for natural language generation, translation, and comprehension
Mike Lewis, Yinhan Liu, Naman Goyal, Marjan Ghazvininejad, Abdelrahman Mohamed, Omer Levy, Veselin Stoyanov, and Luke Zettlemoyer. 2020 · 2020
Later among the works it cites.
Natural language rationales with full-stack visual reasoning: From pixels to semantic frames to commonsense graphs
Ana Marasović, Chandra Bhagavatula, Jae sung Park, Ronan Le Bras, Noah A. Smith, and Yejin Choi. 2020 · 2020
Later among the works it cites.
Artemis: Affective language for visual art
Panos Achlioptas, Maks Ovsjanikov, Kilichbek Haydarov, Mohamed Elhoseiny, and Leonidas J Guibas. 2021 · 2021
Later among the works it cites.
Similar scenes arouse similar emotions: Parallel data augmentation for stylized image captioning
Guodun Li, Yuchen Zhai, Zehao Lin, and Yin Zhang. 2021 · 2021
Later among the works it cites.
Decoding, fast and slow: A case study on balancing trade-offs in incremental, character-level pragmatic reasoning
Sina Zarrieß, Hendrik Buschmeier, Ting Han, and Simeon Schüz. 2021 · 2021
Later among the works it cites.
Knowledge base graph embedding module design for visual question answering model
Wenfeng Zheng, Lirong Yin, Xiaobing Chen, Zhiyang Ma, Shan Liu, and Bo Yang. 2021 · 2021
Later among the works it cites.
Flamingo: a visual language model for few-shot learning
Jean-Baptiste Alayrac, Jeff Donahue, Pauline Luc, Antoine Miech, Iain Barr, Yana Hasson, Karel Lenc, Arthur Mensch, Katie Millican, Malcolm Reynolds, Roman Ring, Eliza Rutherford, Serkan Cabi, Tengda Han, Zhitao Gong, Sina Samangooei, Marianne Monteiro, Jacob Menick, Sebastian Borgeaud, Andrew Brock, Aida Nematzadeh, Sahand Sharifzadeh, Mikolaj Binkowski, Ricardo Barreira, Oriol Vinyals, Andrew Zisserman, and Karen Simonyan. 2022 · 2022
Later among the works it cites.
Aesthetic image captioning on the fae-captions dataset
Xin Jin, Jianwen Lv, Xinghui Zhou, Chaoen Xiao, Xiaodong Li, and Shu Zhao. 2022 · 2022
Later among the works it cites.
Junnan Li, Dongxu Li, Caiming Xiong, and Steven Hoi. 2022 · 2022
Later among the works it cites.
Detach and attach: Stylized image captioning without paired stylized dataset
Yutong Tan, Zheng Lin, Peng Fu, Mingyu Zheng, Lanrui Wang, Yanan Cao, and Weipinng Wang. 2022 · 2022
Later among the works it cites.
Git: A generative image-to-text transformer for vision and language
Jianfeng Wang, Zhengyuan Yang, Xiaowei Hu, Linjie Li, Kevin Lin, Zhe Gan, Zicheng Liu, Ce Liu, and Lijuan Wang. 2022 · 2022
Later among the works it cites.
Needle in a haystack: An analysis of high-agreement workers on mturk for summarization
Lining Zhang, Simon Mille, Yufang Hou, Daniel Deutsch, Elizabeth Clark, Yixin Liu, Saad Mahamood, Sebastian Gehrmann, Miruna Clinciu, Khyathi Chandu, and João Sedoc. 2022 · 2022
Later among the works it cites.
Metaclue: Towards comprehensive visual metaphors research
Arjun R. Akula, Brendan Driscoll, Pradyumna Narayana, Soravit Changpinyo, Zhiwei Jia, Suyash Damle, Garima Pruthi, Sugato Basu, Leonidas Guibas, William T. Freeman, Yuanzhen Li, and Varun Jampani. 2023 · 2023
Closest in time.
Openflamingo
Anas Awadalla, Irena Gao, Joshua Gardner, Jack Hessel, Yusuf Hanafy, Wanrong Zhu, Kalyani Marathe, Yonatan Bitton, Samir Gadre, Jenia Jitsev, Simon Kornblith, Pang Wei Koh, Gabriel Ilharco, Mitchell Wortsman, and Ludwig Schmidt. 2023 · 2023
Closest in time.
I spy a metaphor: Large language models and diffusion models co-create visual metaphors
Tuhin Chakrabarty, Arkadiy Saakyan, Olivia Winn, Artemis Panagopoulou, Yue Yang, Marianna Apidianaki, and Smaranda Muresan. 2023 · 2023
Closest in time.
Haotian Liu, Chunyuan Li, Qingyang Wu, and Yong Jae Lee. 2023 · 2023
Closest in time.
Evaluating pragmatic abilities of image captioners on a3ds
Polina Tsvilodub and Michael Franke. 2023 · 2023
Closest in time.