2nd Place Solution for CVPR2024 E2E Challenge: End-to-End Autonomous Driving Using Vision Language Model
https://arxiv.org/abs/2509.02659
2nd Place Solution for CVPR2024 E2E Challenge: End-to-End Autonomous Driving Using Vision Language Model
https://arxiv.org/abs/2509.02659
We asked 3D modelers, CV people (us)and normal people to rank many wireframes.
Designing the labeling setup is not easy.
2/
We asked 3D modelers, CV people (us)and normal people to rank many wireframes.
Designing the labeling setup is not easy.
2/
https://buff.ly/4h5Lrq9
https://buff.ly/4h5Lrq9
We're excited to announce "How to Stand Out in the Crowd?" at #CVPR2025 Nashville - our 4th community-building workshop featuring this incredible speaker lineup!
🔗 sites.google.com/view/standou...
We're excited to announce "How to Stand Out in the Crowd?" at #CVPR2025 Nashville - our 4th community-building workshop featuring this incredible speaker lineup!
🔗 sites.google.com/view/standou...
We used our good old StyLitGAN from #CVPR2024 to generate diverse training data and filter it to get the top 1000 using CLIP. We combine this with the existing MIT Multi-Illum & Big Time datasets. About ~2500 unique images make our training set
We used our good old StyLitGAN from #CVPR2024 to generate diverse training data and filter it to get the top 1000 using CLIP. We combine this with the existing MIT Multi-Illum & Big Time datasets. About ~2500 unique images make our training set
💪 Our best ScaLR is publicly available & well suited for semantic tasks w/ few or no labels & still SoTA results on linear probing
www.linkedin.com/posts/andrei...
💪 Our best ScaLR is publicly available & well suited for semantic tasks w/ few or no labels & still SoTA results on linear probing
www.linkedin.com/posts/andrei...
💪 Our best ScaLR is publicly available & well suited for semantic tasks w/ few or no labels & still SoTA results on linear probing
www.linkedin.com/posts/andrei...
The deadline of this year's challenge was intentionally put after the #CVPR2024 deadline, so the latest and greatest methods can participate.
Show the world that it actually works in practice and join the BOP challenge. 🦾
7 days left to win the BOP 2024 awards in the model-based and model-free tracks. 🏆
It brings a change of paradigm in multi-camera bird's-eye-view (BeV) segmentation via a flexible mechanism to produce sparse BeV points that can adapt to situation, task, compute
www.linkedin.com/posts/andrei...
It brings a change of paradigm in multi-camera bird's-eye-view (BeV) segmentation via a flexible mechanism to produce sparse BeV points that can adapt to situation, task, compute
www.linkedin.com/posts/andrei...
www.youtube.com/watch?v=8B-L...
www.youtube.com/watch?v=8B-L...
WiCV@CVPR2024: The Thirteenth Women In Computer Vision Workshop at the Annual CVPR Conference
https://arxiv.org/abs/2411.02445
WiCV@CVPR2024: The Thirteenth Women In Computer Vision Workshop at the Annual CVPR Conference
https://arxiv.org/abs/2411.02445
https://techblog.zozo.com/entry/cvpr2024-report
https://techblog.zozo.com/entry/cvpr2024-report
Project page
tnsr.rios.ai
Project page
tnsr.rios.ai
第3世代の自動運転@CVPR2024
この記事は、CVPR 2024 で発表された自動運転に関する最新研究を紹介しています。
特に、LLM や VLM といった基盤モデルを活用した第3世代の自動運転技術に焦点を当て、具体的な論文とその内容、成果などを解説しています。
さらに、自動運転データセットの進化や、カメラ画像のみで運転を実現した CarLLaVA のような革新的な研究成果も紹介しています。
第3世代の自動運転@CVPR2024
この記事は、CVPR 2024 で発表された自動運転に関する最新研究を紹介しています。
特に、LLM や VLM といった基盤モデルを活用した第3世代の自動運転技術に焦点を当て、具体的な論文とその内容、成果などを解説しています。
さらに、自動運転データセットの進化や、カメラ画像のみで運転を実現した CarLLaVA のような革新的な研究成果も紹介しています。