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Incorporating semantic information into the codecs during image compression can significantly reduce the repetitive computation of fundamental semantic analysis (such as object recognition) in client-side applications. The same practice…

Computer Vision and Pattern Recognition · Computer Science 2018-01-30 Sihui Luo , Yezhou Yang , Mingli Song

The evolution of 3D visual content calls for innovative methods for modelling shapes based on their intended usage, function and role in a complex scenario. Even if different attempts have been done in this direction, shape modelling still…

Graphics · Computer Science 2022-08-05 Andreas Scalas

We introduce Thinking with Spatial Code, a framework that transforms RGB video into explicit, temporally coherent 3D representations for physical-world visual question answering. We highlight the empirical finding that our proposed spatial…

Computer Vision and Pattern Recognition · Computer Science 2026-03-09 Jieneng Chen , Wenxin Ma , Ruisheng Yuan , Yunzhi Zhang , Jiajun Wu , Alan Yuille

Code-switching (CS) is common in daily conversations where more than one language is used within a sentence. The difficulties of CS speech recognition lie in alternating languages and the lack of transcribed data. Therefore, this paper uses…

Computation and Language · Computer Science 2021-10-08 Liang-Hsuan Tseng , Yu-Kuan Fu , Heng-Jui Chang , Hung-yi Lee

Speculative decoding is a technique to leverage hardware concurrency in order to enable multiple steps of token generation in a single forward pass, thus improving the efficiency of large-scale autoregressive (AR) Transformer models.…

Machine Learning · Computer Science 2025-10-29 Yangchao Wu , Zongyue Qin , Alex Wong , Stefano Soatto

In recent years, a lot of technological advances in computer science have aided software programmers to create innovative and real-time user-friendly software. With the creation of the software and the urging interest of people to learn to…

Software Engineering · Computer Science 2025-03-25 Kuldeep Gautam , S. VenkataKeerthy , Ramakrishna Upadrasta

We address the challenges and opportunities in the development of knowledge systems for Sanskrit, with a focus on question answering. By proposing a framework for the automated construction of knowledge graphs, introducing annotation tools…

Computation and Language · Computer Science 2024-06-27 Hrishikesh Terdalkar

The hidden nature and the limited accessibility of the Dark Web, combined with the lack of public datasets in this domain, make it difficult to study its inherent characteristics such as linguistic properties. Previous works on text…

Computation and Language · Computer Science 2022-05-05 Youngjin Jin , Eugene Jang , Yongjae Lee , Seungwon Shin , Jin-Woo Chung

Linked Open Data (LOD) is the publicly available RDF data in the Web. Each LOD entity is identfied by a URI and accessible via HTTP. LOD encodes globalscale knowledge potentially available to any human as well as artificial intelligence…

QoS-aware applications can satisfy not only the functional requirements of the customers, but also the QoS requirements. QoS-aware Web Service orchestration translates the QoS requirements of the customers into those of its component Web…

Software Engineering · Computer Science 2013-12-04 Yong Wang

Spoofax is a language workbench. A Spoofax language specification generally includes name resolution: the analysis of bindings between definitions and references. When browsing code in the specified language using Spoofax, the bindings…

Software Engineering · Computer Science 2023-03-22 Peter D. Mosses

Traditional media coding schemes typically encode image/video into a semantic-unknown binary stream, which fails to directly support downstream intelligent tasks at the bitstream level. Semantically Structured Image Coding (SSIC) framework…

Computer Vision and Pattern Recognition · Computer Science 2022-05-10 Xin Jin , Ruoyu Feng , Simeng Sun , Runsen Feng , Tianyu He , Zhibo Chen

Semantic communications (SCs) aim to transmit only the essential information required to perform given tasks, thereby improving communication efficiency. Deep learning-based joint source-channel coding (deep JSCC) has emerged as a promising…

Signal Processing · Electrical Eng. & Systems 2026-04-07 Eunhye Hong , Taewoo Park , Yongjune Kim

The field of neuro-symbolic AI aims to benefit from the combination of neural networks and symbolic systems. A cornerstone of the field is the translation or encoding of symbolic knowledge into neural networks. Although many neuro-symbolic…

Artificial Intelligence · Computer Science 2024-11-28 Simon Odense , Artur d'Avila Garcez

Traditional approaches to semantic parsing (SP) work by training individual models for each available parallel dataset of text-meaning pairs. In this paper, we explore the idea of polyglot semantic translation, or learning semantic parsing…

Computation and Language · Computer Science 2018-07-12 Kyle Richardson , Jonathan Berant , Jonas Kuhn

gUFO is a lightweight implementation of the Unified Foundational Ontology (UFO) suitable for Semantic Web OWL 2 DL applications. UFO is a mature foundational ontology with a rich axiomatization and that has been employed in a significant…

Artificial Intelligence · Computer Science 2026-03-24 João Paulo A. Almeida , Giancarlo Guizzardi , Tiago Prince Sales , Claudenir M. Fonseca

A large amount of data is present on the web. It contains huge number of web pages and to find suitable information from them is very cumbersome task. There is need to organize data in formal manner so that user can easily access and use…

Information Retrieval · Computer Science 2014-03-28 Gagandeep Singh , Vishal Jain

Traditional semantic parsers map language onto compositional, executable queries in a fixed schema. This mapping allows them to effectively leverage the information contained in large, formal knowledge bases (KBs, e.g., Freebase) to answer…

Computation and Language · Computer Science 2016-11-30 Matt Gardner , Jayant Krishnamurthy

Compositionality of denotational semantics is an important concern in programming semantics. Mathematical operational semantics in the sense of Turi and Plotkin guarantees compositionality, but seen from the point of view of stateful…

Logic in Computer Science · Computer Science 2022-05-12 Sergey Goncharov , Stefan Milius , Lutz Schröder , Stelios Tsampas , Henning Urbat

JSON (JavaScript Object Notation) is a data encoding that allows structured data to be used in a standardized and straightforward manner across systems. Schemas for JSON-formatted data can be constructed using the JSON Schema standard,…

Programming Languages · Computer Science 2025-08-13 Jack Stanek , Daniel Killough