Results 51 to 60 of about 7,519,950 (294)
IEEE Photonics Journal, 2017 In this paper we present a novel non-uniformity correction (NUC) method to remove column fixed-pattern noise (FPN), which is introduced by non-uniformity of on-chip column-parallel readout circuit in uncooled infrared focal plane array. We first define a
Yanpeng Cao +4 more
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Advances in deep concealed scene understanding
Visual Intelligence, 2023 Abstract Concealed scene understanding (CSU) is a hot computer vision topic aiming to perceive objects exhibiting camouflage. The current boom in terms of techniques and applications warrants an up-to-date survey. This can help researchers better understand the global CSU field, including both current achievements and remaining ...
Deng-Ping Fan +5 more
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State of the Art Techniques to Advance Deep Networks for Semantic Segmentation
U.Porto Journal of Engineering, 2022 In recent times, the computer vision community has seen remarkable growth in the field of scene understanding. With such a wide prevalence of images, the importance of this field is growing rapidly along with the technologies involved in it.
Aakanksha, Arushi Seth, Shanu Sharma
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Scene-Aware Prompt for Multi-modal Dialogue Understanding and Generation [PDF]
, 2022 This paper introduces the schemes of Team LingJing's experiments in NLPCC-2022-Shared-Task-4 Multi-modal Dialogue Understanding and Generation (MDUG). The MDUG task can be divided into two phases: multi-modal context understanding and response generation.
Li, Bin +4 more
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Invariant representations of mass in the human brain
eLife, 2019 An intuitive understanding of physical objects and events is critical for successfully interacting with the world. Does the brain achieve this understanding by running simulations in a mental physics engine, which represents variables such as force and ...
Sarah Schwettmann +2 more
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Federated Learning in Computer Vision
IEEE Access, 2023 Federated Learning (FL) has recently emerged as a novel machine learning paradigm allowing to preserve privacy and to account for the distributed nature of the learning process in many real-world settings.
Donald Shenaj +2 more
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Active Vision for Scene Understanding
, 2021 Visual perception is one of the most important sources of information for both humans and robots. A particular challenge is the acquisition and interpretation of complex unstructured scenes. This work contributes to active vision for humanoid robots. A semantic model of the scene is created, which is extended by successively changing the robot's view ...
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Extending visual perception with haptic exploration for improved scene understanding [PDF]
, 2015 Scene understanding has been investigated from a mainly visual information point of view. Recently depth has been provided an extra wealth of information, allowing more geometric knowledge to fuse into scene understanding.
Leitner, Jürgen
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Molecular Oncology, EarlyView.Matched spatial transcriptomics and single‐nuclei RNA‐seq were generated for anaplastic and BRAFV600E papillary thyroid cancers revealing generic and tumor‐specific states occurring in cancer cells and in the tumor microenvironment. In this context, cancer dedifferentiation mirrored organoid maturation through ordered thyroid marker gain/loss ...
Adrien Tourneur +11 more
wiley +1 more source
Semantic Scene Completion With 2D and 3D Feature Fusion
IEEE Access3D semantic scene completion (SSC) aims to get a dense semantic understanding of an environment in 3D. It requires a geometric and semantic knowledge of the surrounding environment and the filling of void areas.
Sang-Min Park, Jong-Eun Ha
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