Our #SocccerNet Discord community has hit 1000 members Today! 🥳Huge thanks to all our members and our fantastic team for making this milestone possible. See you @CVPR during the @_CVsports workshop for the results of our challenges (Deadline: May 30th)!⚽️🏆
Calling all #CVPR2023 attendees! Don't miss the chance to grab your exclusive #SoccerNet challenge t-shirt at the CVSports Workshop tomorrow room 214! 🎉👕 Be there early, first-come, first-served! Show off your love for soccer video understanding in style @CVPR! ⚽️
Attention all #CVPR2023 participants in Vancouver! Make sure to seize the opportunity to grab an exclusive #SoccerNet challenge t-shirt during tomorrow's CVSports Workshop! See you @CVPR!
We just released a very cool theoretical work that could be used in #autonomous cars.🚗
I will present it tomorrow at #WACV2023. ✅
Feel free to already check our presentation on YouTube:
▶️https://t.co/UdTo9UsLOo
Back from 9 days spent with young @trusted_ai researchers in #Berlin One of the most inspiring experiences for me in the past few years 🤩. Folks, if you need me to annotate or draw bounding boxes to improve your #datasets just let me know 😉. Merci pour votre implication! 🙏🏻
À l’honneur cette semaine, la chercheuse Anaïs Halin @ULiege Et si l’ #IA pouvait nous aider à augmenter la #sécuritéroutière et ainsi sauver des vies! #AI#research https://t.co/yU2ZF3crJj
So glad to be featured in the lastest ACAD Research video! 📽 I describe the role of driver monitoring, how to characterize the state of a driver using indicators and sensors, and the main challenges for future research. 🚗👩🔬
▶️ Link to the video: https://t.co/sY4IabTo8B
The video describes the work published in @Sensors_MDPI and untitled "Survey and Synthesis of State of the Art in Driver Monitoring" available here: https://t.co/aVn0Z1BQFh
Find out how Driver Monitoring may save your life in the future in this great video presentation by @ahalin.🚗She also released a remarkable synthesis of the field in her latest @Sensors_MDPI paper! 🔥
▶️https://t.co/9MTCZY8z2R via @YouTube
📜https://t.co/omvwFWOsyn
New paper by my student @WehenkelAntoine: Unconstrained Monotonic Neural Networks! https://t.co/3bWLj8ck0l In this work, we show how to make use of free-form neural networks to model arbitrary monotonic functions and derive a new autoregressive flow.
We are pleased to present our work "An Effective Hit-or-Miss Layer Favoring Feature Interpretation as Learned Prototypes Deformations" at #AAAI2019 workshop on Network Interpretability for Deep Learning. Full paper available at https://t.co/F1b733RiO5 #AAAI19@RealAAAI#AI