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Evidence that visual communication preceded written language and provided a basis for it goes back to prehistory, in forms such as cave and rock paintings depicting traces of our distant ancestors. Emergent communication research has sought…

Computer Vision and Pattern Recognition · Computer Science 2021-11-10 Daniela Mihai , Jonathon Hare

From photorealistic sketches to schematic diagrams, drawing provides a versatile medium for communicating about the visual world. How do images spanning such a broad range of appearances reliably convey meaning? Do viewers understand…

Computer Vision and Pattern Recognition · Computer Science 2021-09-29 Robert D. Hawkins , Megumi Sano , Noah D. Goodman , Judith E. Fan

People can produce drawings of specific entities (e.g., Garfield), as well as general categories (e.g., "cat"). What explains this ability to produce such varied drawings of even highly familiar object concepts? We hypothesized that drawing…

Computer Vision and Pattern Recognition · Computer Science 2021-06-08 Justin Yang , Judith E. Fan

Humans communicate with graphical sketches apart from symbolic languages. Primarily focusing on the latter, recent studies of emergent communication overlook the sketches; they do not account for the evolution process through which symbolic…

Computation and Language · Computer Science 2023-02-27 Shuwen Qiu , Sirui Xie , Lifeng Fan , Tao Gao , Jungseock Joo , Song-Chun Zhu , Yixin Zhu

We present an investigation into how representational losses can affect the drawings produced by artificial agents playing a communication game. Building upon recent advances, we show that a combination of powerful pretrained encoder…

Machine Learning · Computer Science 2022-01-21 Daniela Mihai , Jonathon Hare

Large language models have become multimodal, and many of them are said to integrate their modalities using common representations. If this were true, a drawing of a car as an image, for instance, should map to a similar area in the latent…

Computer Vision and Pattern Recognition · Computer Science 2025-08-29 Diogo Freitas , Brigt Håvardstun , Cèsar Ferri , Darío Garigliotti , Jan Arne Telle , José Hernández-Orallo

Exploration in novel settings can be challenging without prior experience in similar domains. However, humans are able to build on prior experience quickly and efficiently. Children exhibit this behavior when playing with toys. For example,…

Humans show high-level of abstraction capabilities in games that require quickly communicating object information. They decompose the message content into multiple parts and communicate them in an interpretable protocol. Toward equipping…

Computer Vision and Pattern Recognition · Computer Science 2022-07-28 Stephan Alaniz , Massimiliano Mancini , Anjan Dutta , Diego Marcos , Zeynep Akata

Students of visualization come to formal education with an abundance of personal experience. However, one's exposure to graphics through media and education may not be sufficiently diverse to appreciate the nuance and complexity required to…

Human-Computer Interaction · Computer Science 2020-10-09 Amy Rae Fox , Taylor Jackson Scott

The ability of intelligent agents to play games in human-like fashion is popularly considered a benchmark of progress in Artificial Intelligence. Similarly, performance on multi-disciplinary tasks such as Visual Question Answering (VQA) is…

Computer Vision and Pattern Recognition · Computer Science 2018-01-30 Ravi Kiran Sarvadevabhatla , Shiv Surya , Trisha Mittal , Venkatesh Babu Radhakrishnan

The challenge of navigation in environments with dynamic objects continues to be a central issue in the study of autonomous agents. While predictive methods hold promise, their reliance on precise state information makes them less practical…

Robotics · Computer Science 2024-10-28 Hsuan-Kung Yang , Tsung-Chih Chiang , Ting-Ru Liu , Chun-Wei Huang , Jou-Min Liu , Chun-Yi Lee

Human visual reasoning is characterized by an ability to identify abstract patterns from only a small number of examples, and to systematically generalize those patterns to novel inputs. This capacity depends in large part on our ability to…

Computer Vision and Pattern Recognition · Computer Science 2023-11-14 Taylor W. Webb , Shanka Subhra Mondal , Jonathan D. Cohen

Perceptual learning enables humans to recognize and represent stimuli invariant to various transformations and build a consistent representation of the self and physical world. Such representations preserve the invariant physical relations…

Neural and Evolutionary Computing · Computer Science 2020-07-02 Du Xiaorui , Yavuzhan Erdem , Immanuel Schweizer , Cristian Axenie

Sketches have been used to conceptualise and depict visual objects from pre-historic times. Sketch research has flourished in the past decade, particularly with the proliferation of touchscreen devices. Much of the utilisation of sketch has…

Computer Vision and Pattern Recognition · Computer Science 2022-10-28 Ayan Kumar Bhunia

Collaborative perception allows each agent to enhance its perceptual abilities by exchanging messages with others. It inherently results in a trade-off between perception ability and communication costs. Previous works transmit complete…

Computer Vision and Pattern Recognition · Computer Science 2024-01-24 Yue Hu , Xianghe Pang , Xiaoqi Qin , Yonina C. Eldar , Siheng Chen , Ping Zhang , Wenjun Zhang

Recent findings in neuroscience suggest that the human brain represents information in a geometric structure (for instance, through conceptual spaces). In order to communicate, we flatten the complex representation of entities and their…

Machine Learning · Computer Science 2020-02-05 Agnieszka Słowik , Abhinav Gupta , William L. Hamilton , Mateja Jamnik , Sean B. Holden

Efficient explorative data analysis systems must take into account both what a user knows and wants to know. This paper proposes a principled framework for interactive visual exploration of relations in data, through views most informative…

Machine Learning · Statistics 2021-07-02 Kai Puolamäki , Emilia Oikarinen , Andreas Henelius

Referring expression comprehension aims to locate the object instance described by a natural language referring expression in an image. This task is compositional and inherently requires visual reasoning on top of the relationships among…

Computer Vision and Pattern Recognition · Computer Science 2019-09-19 Sibei Yang , Guanbin Li , Yizhou Yu

Common-sense physical reasoning is an essential ingredient for any intelligent agent operating in the real-world. For example, it can be used to simulate the environment, or to infer the state of parts of the world that are currently…

Machine Learning · Computer Science 2018-03-01 Sjoerd van Steenkiste , Michael Chang , Klaus Greff , Jürgen Schmidhuber

Visual communication, dating back to prehistoric cave paintings, is the use of visual elements to convey ideas and information. In today's visually saturated world, effective design demands an understanding of graphic design principles,…

Computer Vision and Pattern Recognition · Computer Science 2024-12-02 Yael Vinker
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