Sign Up to like & get
recommendations!
0
Published in 2025 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2025.3639346
Abstract: Steganographic threats are widespread in social networks, particularly on social media platforms. Existing methods mainly rely on statistical features and social network graph-based modeling, but struggle under sparsity and fragmentation due to limited semantics and…
read more here.
Keywords:
steganalysis;
semantic synergistic;
social networks;
context aware ... See more keywords
Sign Up to like & get
recommendations!
0
Published in 2019 at "IEEE Transactions on Cybernetics"
DOI: 10.1109/tcyb.2018.2865036
Abstract: In recent times, image inpainting has witnessed rapid progress due to the generative adversarial networks (GANs) that are able to synthesize realistic contents. However, most existing GAN-based methods for semantic inpainting apply an auto-encoder architecture…
read more here.
Keywords:
aware semantic;
context aware;
image;
semantics ... See more keywords
Sign Up to like & get
recommendations!
0
Published in 2019 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2018.2801309
Abstract: Semantic segmentation (SS) partitions an image into several coherent semantically meaningful parts and classifies each part into one of the pre-determined classes. In this paper, we argue that the existing SS methods cannot be reliably…
read more here.
Keywords:
aware semantic;
segmentation;
semantic segmentation;
importance aware ... See more keywords
Sign Up to like & get
recommendations!
0
Published in 2024 at "IEEE Transactions on Robotics"
DOI: 10.1109/tro.2025.3526084
Abstract: Representing the 3-D environment with instance-aware semantic and geometric information is crucial for interaction-aware robots in dynamic environments. Nevertheless, creating such a representation poses challenges due to sensor noise, instance segmentation and tracking errors, and…
read more here.
Keywords:
instance aware;
instance;
occupancy;
particle based ... See more keywords