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11/22/2022
Event Transformer+. A multi-purpose solution for efficient event data processing
Event cameras record sparse illumination changes with high temporal reso...
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04/07/2022
Event Transformer. A sparse-aware solution for efficient event data processing
Event cameras are sensors of great interest for many applications that r...
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04/27/2021
Semi-Supervised Semantic Segmentation with Pixel-Level Contrastive Learning from a Class-wise Memory Bank
This work presents a novel approach for semi-supervised semantic segment...
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03/03/2021
Domain and View-point Agnostic Hand Action Recognition
Hand action recognition is a special case of human action recognition wi...
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02/17/2021
One-shot action recognition towards novel assistive therapies
One-shot action recognition is a challenging problem, especially when th...
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09/23/2020
Robust and efficient post-processing for video object detection
Object recognition in video is an important task for plenty of applicati...
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09/10/2020
Performance of object recognition in wearable videos
Wearable technologies are enabling plenty of new applications of compute...
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02/25/2020
3D-MiniNet: Learning a 2D Representation from Point Clouds for Fast and Efficient 3D LIDAR Semantic Segmentation
LIDAR semantic segmentation, which assigns a semantic label to each 3D p...
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04/03/2019
CAM-Convs: Camera-Aware Multi-Scale Convolutions for Single-View Depth
Single-view depth estimation suffers from the problem that a network tra...
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02/25/2019
Condition-Invariant Multi-View Place Recognition
Visual place recognition is particularly challenging when places suffer ...
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11/27/2017
Language Bootstrapping: Learning Word Meanings From Perception-Action Association
We address the problem of bootstrapping language acquisition for an arti...
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11/22/2016
Single-View and Multi-View Depth Fusion
Dense and accurate 3D mapping from a monocular sequence is a key technol...
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03/06/2014