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This paper presents an interactive technique to explain visual patterns in network visualizations to analysts who do not understand these visualizations and who are learning to read them. Learning a visualization requires mastering its…

Human-Computer Interaction · Computer Science 2024-08-05 Xinhuan Shu , Alexis Pister , Junxiu Tang , Fanny Chevalier , Benjamin Bach

Finding image correspondences remains a challenging problem in the presence of intra-class variations and large changes in scene layout.~Semantic flow methods are designed to handle images depicting different instances of the same object or…

Computer Vision and Pattern Recognition · Computer Science 2016-07-11 Bumsub Ham , Minsu Cho , Cordelia Schmid , Jean Ponce

Extracting structured knowledge from texts has traditionally been used for knowledge base generation. However, other sources of information, such as images can be leveraged into this process to build more complete and richer knowledge…

Computer Vision and Pattern Recognition · Computer Science 2020-09-15 Ashutosh Tiwari , Sandeep Varma

Concept discovery is one of the open problems in the interpretability literature that is important for bridging the gap between non-deep learning experts and model end-users. Among current formulations, concepts defines them by as a…

Machine Learning · Computer Science 2022-02-11 Adrianna Janik , Kris Sankaran

We introduce a novel method for overlaying cell type proportion data onto tissue images. This approach preserves spatial context while avoiding visual clutter or excessively obscuring the underlying slide. Our proposed technique involves…

Computer Vision and Pattern Recognition · Computer Science 2024-10-10 Lee Mason , Jonas Almeida

When people search for information about a new topic within large document collections, they implicitly construct a mental model of the unfamiliar information space to represent what they currently know and guide their exploration into the…

Information Retrieval · Computer Science 2023-02-21 Mengtian Guo , Zhilan Zhou , David Gotz , Yue Wang

We introduce the syntactic scaffold, an approach to incorporating syntactic information into semantic tasks. Syntactic scaffolds avoid expensive syntactic processing at runtime, only making use of a treebank during training, through a…

Computation and Language · Computer Science 2018-09-03 Swabha Swayamdipta , Sam Thomson , Kenton Lee , Luke Zettlemoyer , Chris Dyer , Noah A. Smith

We describe the problem of aggregating the label predictions of diverse classifiers using a class taxonomy. Such a taxonomy may not have been available or referenced when the individual classifiers were designed and trained, yet mapping the…

Artificial Intelligence · Computer Science 2015-12-02 Amrita Saha , Sathish Indurthi , Shantanu Godbole , Subendhu Rongali , Vikas C. Raykar

It is difficult to design a visually appealing layout for common users, which takes time even for professional designers. In this paper, we present an interactive layout design system with shadow guidance and layout retrieval to help users…

Human-Computer Interaction · Computer Science 2022-12-27 Jiahao Weng , Haoran Xie

External labeling is frequently used for annotating features in graphical displays and visualizations, such as technical illustrations, anatomical drawings, or maps, with textual information. Such a labeling connects features within an…

Computational Geometry · Computer Science 2019-06-25 Michael A. Bekos , Benjamin Niedermann , Martin Nöllenburg

While visualizations are an effective way to represent insights about information, they rarely stand alone. When designing a visualization, text is often added to provide additional context and guidance for the reader. However, there is…

Human-Computer Interaction · Computer Science 2022-09-23 Chase Stokes , Vidya Setlur , Bridget Cogley , Arvind Satyanarayan , Marti Hearst

Text Summarization is a popular task and an active area of research for the Natural Language Processing community. By definition, it requires to account for long input texts, a characteristic which poses computational challenges for neural…

Computation and Language · Computer Science 2023-01-27 Laura Nguyen , Thomas Scialom , Benjamin Piwowarski , Jacopo Staiano

Establishing semantic correspondence across images when the objects in the images have undergone complex deformations remains a challenging task in the field of computer vision. In this paper, we propose a hierarchical method to tackle this…

Computer Vision and Pattern Recognition · Computer Science 2018-06-12 Akila Pemasiri , Kien Nguyen , Sridha Sridhara , and Clinton Fookes

By assigning each relationship a single label, current approaches formulate the relationship detection as a classification problem. Under this formulation, predicate categories are treated as completely different classes. However, different…

Computer Vision and Pattern Recognition · Computer Science 2020-09-15 Yi Zhou , Shuyang Sun , Chao Zhang , Yikang Li , Wanli Ouyang

Layouts and sub-layouts constitute an important clue while searching a document on the basis of its structure, or when textual content is unknown/irrelevant. A sub-layout specifies the arrangement of document entities within a smaller…

Information Retrieval · Computer Science 2016-09-12 Anukriti Bansal , Sumantra Dutta Roy , Gaurav Harit

In a labeling scheme the vertices of a given graph from a particular class are assigned short labels such that adjacency can be algorithmically determined from these labels. A representation of a graph from that class is given by the set of…

Computational Complexity · Computer Science 2018-02-09 Maurice Chandoo

Comprehending natural language instructions is a charming property for both 2D and 3D layout synthesis systems. Existing methods implicitly model object joint distributions and express object relations, hindering generation's…

Computer Vision and Pattern Recognition · Computer Science 2025-08-05 Chenguo Lin , Yuchen Lin , Panwang Pan , Xuanyang Zhang , Yadong Mu

Robotic planning systems model spatial relations in detail as these are needed for manipulation tasks. In contrast to this, other physical attributes of objects and the effect of devices are usually oversimplified and expressed by abstract…

Robotics · Computer Science 2024-05-07 Stephan Hasler , Daniel Tanneberg , Michael Gienger

Scientific visualization tools tend to be flexible in some ways (e.g., for exploring isovalues) while restricted in other ways, such as working only on regular grids, or only on unstructured meshes (as used in the finite element method,…

Graphics · Computer Science 2020-12-29 Teodoro Collin , Charisee Chiw , L. Ridgway Scott , John Reppy , Gordon L. Kindlmann

Computer vision is driven by the many datasets available for training or evaluating novel methods. However, each dataset has a different set of class labels, visual definition of classes, images following a specific distribution, annotation…

Computer Vision and Pattern Recognition · Computer Science 2022-08-10 Jasper Uijlings , Thomas Mensink , Vittorio Ferrari