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Crowded pose-guided multi-task learning for instance-level human parsing
Instance-level human parsing remains challenging due to the similarity between human instances and background, complex interactions, and various...
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Deep Learning Technique for Human Parsing: A Survey and Outlook
Human parsing aims to partition humans in image or video into multiple pixel-level semantic parts. In the last decade, it has gained significantly...
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Semantic segmentation-assisted instance feature fusion for multi-level 3D part instance segmentation
Recognizing 3D part instances from a 3D point cloud is crucial for 3D structure and scene understanding. Several learning-based approaches use...
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Parsing Objects at a Finer Granularity: A Survey
Fine-grained visual parsing, including fine-grained part segmentation and fine-grained object recognition, has attracted considerable critical...
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Instance-Level Human Parsing
Instance-level human parsing in real-world human analysis scenarios is still underexplored due to the absence of sufficient data resources and...
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Syntax and Parsing
As another major component of Natural Language Understanding (NLU), this chapter explores syntax analysis and introduces different types of...
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Special perceptual parsing for Chinese landscape painting scene understanding: a semantic segmentation approach
The automatic and precise perceptual parsing of Chinese landscape paintings (CLP) significantly aids in the digitization and recreation of artworks....
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Cognition: Accurate and Consistent Linear Log Parsing Using Template Correction
Logs contain runtime information for both systems and users. As many of them use natural language, a typical log-based analysis needs to parse logs...
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Advancing Weakly-Supervised Audio-Visual Video Parsing via Segment-Wise Pseudo Labeling
The Audio-Visual Video Parsing task aims to identify and temporally localize the events that occur in either or both the audio and visual streams of...
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Video Instance-Level Human Parsing
This chapter introduces a novel Adaptive Temporal Encoding Network (ATEN) that alternatively performs temporal encoding among key frames and...
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A survey of discourse parsing
Discourse parsing is an important research area in natural language processing (NLP), which aims to parse the discourse structure of coherent...
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Fine-grained person-based image captioning via advanced spectrum parsing
Recent image captioning models have demonstrated remarkable performance in capturing substantial global semantic information in coarse-grained images...
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PhraseTransformer: an incorporation of local context information into sequence-to-sequence semantic parsing
Semantic parsing is a challenging task map** a natural language utterance to machine-understandable information representation. Recently,...
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Lexical Analysis and Parsing Using Deep Learning
This chapter explains the concepts related to deep learning in lexical analysis and parsing with practical examples and accompanied code.
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SNNet: Specific Node Network of Human Parsing
Recent works have made significant progress in human parsing by exploiting the hierarchical human structure. However, their modeling of human body is...
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Improving the Consistency of Semantic Parsing in KBQA Through Knowledge Distillation
Knowledge base question answering (KBQA) is an important task that involves analyzing natural language questions and retrieving relevant answers from...
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Parsing and encoding interactive phrase structure for implicit discourse relation recognition
Implicit discourse relation recognition (IDRR) is to detect and classify relation sense between two text segments without an explicit connective....
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Building datasets to support information extraction and structure parsing from electronic theses and dissertations
Despite the millions of electronic theses and dissertations (ETDs) publicly available online, digital library services for ETDs have not evolved past...
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On-site human-robot collaboration for lunar exploration based on shared mixed reality
On-site human-robot collaboration is one form of lunar exploration, where astronauts work side-by-side with rovers to accomplish tasks. Mixed reality...
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UV R-CNN: Stable and efficient dense human pose estimation
As a dense prediction task aimed at instance-level human analysis, dense-pose estimation seeks to accurately map 2D pixels onto the 3D surface of the...
