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Published in 2022 at "IEEE Transactions on Multimedia"
DOI: 10.1109/tmm.2021.3059098
Abstract: Despite the recent success of deep learning in video-related tasks, deep models typically focus on the most discriminative features, ignoring other potentially non-trivial and informative contents. Such characteristic heavily constrains their capability to learn implicit…
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Keywords:
cue;
multi cue;
temporal multi;
sign language ... See more keywords
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Published in 2017 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"
DOI: 10.1109/tpami.2016.2592911
Abstract: We propose a novel approach to semantic scene labeling in urban scenarios, which aims to combine excellent recognition performance with highest levels of computational efficiency. To that end, we exploit efficient tree-structured models on two…
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Keywords:
structured models;
tree;
multi cue;
scene labeling ... See more keywords
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Published in 2019 at "Frontiers in Neurorobotics"
DOI: 10.3389/fnbot.2019.00010
Abstract: Neuromorphic vision sensors are bio-inspired cameras that naturally capture the dynamics of a scene with ultra-low latency, filtering out redundant information with low power consumption. Few works are addressing the object detection with this sensor.…
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Keywords:
neuromorphic vision;
information;
vision sensors;
multi cue ... See more keywords
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Published in 2023 at "Frontiers in Neuroscience"
DOI: 10.3389/fnins.2023.1148191
Abstract: Sign languages are visual languages used as the primary communication medium for the Deaf community. The signs comprise manual and non-manual articulators such as hand shapes, upper body movement, and facial expressions. Sign Language Recognition…
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Keywords:
recognition;
hand;
multi cue;
sign language ... See more keywords