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Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2930403
Abstract: With the increase of roads and vehicles, the number of traffic accidents has gradually increased, and one of the important reasons is the driver’s unsafe driving behavior. Some existing methods rely on the method of…
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Keywords:
human parsing;
behavior security;
security surveillance;
based human ... See more keywords
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Published in 2022 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2022.3181486
Abstract: Most existing methods of human parsing still face a challenge: how to extract the accurate foreground from similar or cluttered scenes effectively. In this paper, we propose a Grammar-induced Wavelet Network (GWNet), to deal with…
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Keywords:
grammar;
induced wavelet;
human parsing;
network ... See more keywords
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Published in 2022 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2022.3192989
Abstract: Most state-of-the-art instance-level human parsing models adopt two-stage anchor-based detectors and, therefore, cannot avoid the heuristic anchor box design and the lack of analysis on a pixel level. To address these two issues, we have…
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Keywords:
instance level;
human parsing;
anchor free;
level ... See more keywords
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Published in 2024 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2024.3469579
Abstract: Existing methods of multiple human parsing (MHP) apply deep models to learn instance-level representations for segmenting each person into non-overlapped body parts. However, learned representations often contain many spurious correlations that degrade model generalization, leading…
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Keywords:
human parsing;
causal properties;
cpi parser;
causal factors ... See more keywords
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Published in 2024 at "IEEE Transactions on Multimedia"
DOI: 10.1109/tmm.2023.3262973
Abstract: Interactive segmentation pursues generating high-quality pixel-level predictions with a few user-provided clicks, which is gaining attention for its convenience in segmentation data annotation. Users are allowed to iteratively refine the prediction by adding clicks until…
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Keywords:
human parsing;
dilation;
dynamic interaction;
interaction ... See more keywords
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Published in 2017 at "IEEE transactions on pattern analysis and machine intelligence"
DOI: 10.1109/tpami.2016.2537339
Abstract: In this work, we address the human parsing task with a novel Contextualized Convolutional Neural Network (Co-CNN) architecture, which well integrates the cross-layer context, global image-level context, semantic edge context, within-super-pixel context and cross-super-pixel neighborhood…
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Keywords:
human parsing;
network;
context;
super pixel ... See more keywords
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Published in 2023 at "IEEE transactions on pattern analysis and machine intelligence"
DOI: 10.1109/tpami.2023.3239194
Abstract: In this work, we study the challenging problem of instance-aware human body part parsing. We introduce a new bottom-up regime which achieves the task through learning category-level human semantic segmentation as well as multi-person pose…
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Keywords:
human parsing;
multi granularity;
differentiable multi;
person ... See more keywords