Application of event cameras and neuromorphic computing to VSLAM: A survey
Simultaneous Localization and Map** (SLAM) is a crucial function for most autonomous
systems, allowing them to both navigate through and create maps of unfamiliar …
systems, allowing them to both navigate through and create maps of unfamiliar …
Snow mask guided adaptive residual network for image snow removal
Image restoration under severe weather is a challenging task. Most of the past works
focused on removing rain and haze phenomena in images. However, snow is also an …
focused on removing rain and haze phenomena in images. However, snow is also an …
Object detection methods on compressed domain videos: An overview, comparative analysis, and new directions
D Zhai, X Zhang, X Li, X **ng, Y Zhou, C Ma - Measurement, 2023 - Elsevier
A review of the object detection on compressed domain video is presented in this paper. The
literature reviewed spans over the past 32 years (1990–2022), covering the key methods for …
literature reviewed spans over the past 32 years (1990–2022), covering the key methods for …
Non-semantics suppressed mask learning for unsupervised video semantic compression
Most video compression methods aim to improve the decoded video visual quality, instead
of particularly guaranteeing the semantic-completeness, which deteriorates downstream …
of particularly guaranteeing the semantic-completeness, which deteriorates downstream …
Dynamic feature aggregation for efficient video object detection
Y Cui - Proceedings of the Asian Conference on Computer …, 2022 - openaccess.thecvf.com
Video object detection is a fundamental yet challenging task in computer vision. One
practical solution is to take advantage of temporal information from the video and apply …
practical solution is to take advantage of temporal information from the video and apply …
[HTML][HTML] Real-time citywide reconstruction of traffic flow from moving cameras on lightweight edge devices
Traffic flow estimation is required for road infrastructure management tasks such as road
development planning, routing, and navigation. Determining traffic flow on a citywide scale …
development planning, routing, and navigation. Determining traffic flow on a citywide scale …
Lw-fire: A lightweight wildfire image classification with a deep convolutional neural network
Analysis of reports published by the leading national centers for monitoring wildfires and
other emergencies revealed that the devastation caused by wildfires has increased by 2.96 …
other emergencies revealed that the devastation caused by wildfires has increased by 2.96 …
A coding framework and benchmark towards low-bitrate video understanding
Video compression is indispensable to most video analysis systems. Despite saving the
transportation bandwidth, it also deteriorates downstream video understanding tasks …
transportation bandwidth, it also deteriorates downstream video understanding tasks …
Explore spatio-temporal aggregation for insubstantial object detection: benchmark dataset and baseline
We endeavor on a rarely explored task named Insubstan-tial Object Detection (IOD), which
aims to localize the object with following characteristics:(1) amorphous shape with indistinct …
aims to localize the object with following characteristics:(1) amorphous shape with indistinct …
Global memory and local continuity for video object detection
To deal with the challenges in video object detection (VOD), such as occlusion and motion
blur, many state-of-the-art video object detectors adopt a feature aggregation module to …
blur, many state-of-the-art video object detectors adopt a feature aggregation module to …