
DRIVEX-WORKSHOP . GITHUB . IO {
}
Detected CMS Systems:
- Wordpress (18 occurrences)
Title:
DriveX - Foundation Models for V2X-based Cooperative Autonomous Driving π
Description:
No description found...
Website Age:
12 years and 4 months (reg. 2013-03-08).
Matching Content Categories {π}
- Education
- Events
- Careers
Content Management System {π}
What CMS is drivex-workshop.github.io built with?
Drivex-workshop.github.io relies on WORDPRESS.
Traffic Estimate {π}
What is the average monthly size of drivex-workshop.github.io audience?
π¦ Initial Traffic: less than 1k visitors per month
Based on our best estimate, this website will receive around 19 visitors per month in the current month.
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How Does Drivex-workshop.github.io Make Money? {πΈ}
We're unsure how the site profits.
Some websites aren't about earning revenue; they're built to connect communities or raise awareness. There are numerous motivations behind creating websites. This might be one of them. Drivex-workshop.github.io might be cashing in, but we can't detect the method they're using.
Wordpress Themes and Plugins {π¨}
What WordPress theme does this site use?
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Keywords {π}
prof, uni, autonomous, cooperative, driving, models, keynote, paper, perception, university, california, usa, challenge, tum, technical, submission, workshop, foundation, systems, detection, award, munich, dataset, presentation, competition, gmt, prize, pdf, vehicles, germany, march, money, cash, scene, data, visionlanguage, recognition, language, model, semantic, remote, technology, oral, awards, announcement, wei, openlabel, june, speakers, papers,
Topics {βοΈ}
hsu-kuang chiu v2v-llm v2x-based cooperative systems vision-language models understand 10-week-long challenge based yu-chiang frank wang traditional single-vehicle systems california los angeles vision-language models 3d occupancy prediction laura leal-taixοΏ½ enhance autonomous systems multi-agent future autonomous vehicles efficient california san diego utilizing v2x communication esteban rivera v3lma tumtraf v2x dataset traffic violation events 3d object detection exploiting vanishing point cooperative autonomous driving collaborative driving systems holistic scene understanding graz uni communication dataset curation improve decision-making chien-yi wang evaluate perception methods recognize outstanding research scene understanding end roadside 3d perception repurposing generative models competition winner presentation grand ballroom a2 extend sensory range offer generalization abilities vulnerable road users robust autonomy emerges leveraging auxiliary information interpret dynamic gestures instructive nonverbal commands u-turn maneuvers discuss potential collaborations competition winner awards abstract submission deadline coopdet3d generates detection paper award ceremony application paper award paper submission deadline dataset final release
Questions {β}
- Can Vision-Language Models Understand and Interpret Dynamic Gestures from Pedestrians?
Social Networks {π}(8)
- https://www.linkedin.com/in/gianluca-corrado-617a6167
- https://www.linkedin.com/in/mlyssenko
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External Links {π}(57)
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Libraries {π}
- Bulma
- jQuery
- Modernizr
CDN Services {π¦}
- Jsdelivr