Another really cool challenge part of our CVPR Workshop on Autonomous Driving cvpr2021.wad.vision #SelfDriving #CVPR2021

What do you want more, direct network compression with tensor trains while getting direct control of the Lipschitz constant of the network. Great work by Anton Obukhov and it was a pleasure to work on this project. #TensorTrain #GAN

If you are curios about Reinforcement Learning for Autonomous Racing 🏎️ and happen to be at #ICRA2021, don't hesitate to join our presentation, happening in 1 hour! Joint work with Alex Liniger and Alisa Rupenyan

Are you interested in getting a more consistent online 3D tracker? Our graph neural network approach achieves great performance, but what really stands out is the extremely high track consistency, reducing ID switches by 50% compared to the second best method #autonomousdriving

The recording of my talk about "Noncooperative Game Theory for Autonomous Racing" I gave at the Game-theoretic Motion Planning tutorial at #ICRA is now online youtu.be/W8q34pfxRCo Very cool topic and you should have a look at the other talks #autonomousdriving ETH Zurich

We are hosting Workshop on Autonomous Driving again this year #CVPR2025 2021. It features a list of amazing speakers as well as challenges on Waymo Open Dataset and Argoverse! Happening on June 20! cvpr2021.wad.vision

Join our Workshop on Autonomous Driving tomorrow (20 June) #CVPR2025 2021. We have a list of great speakers and challenges by Waymo and .🥴.. cvpr2021.wad.vision #autonomousdriving

This sounds like an amazing setup! I am looking forward to deploying our work on motion prediction and planning to this benchmark

"End-to-End Urban Driving by Imitating a Reinforcement Learning Coach" Fisher Yu & Luc Van Gool's team Computer Vision Lab Zurich #iccv2021 paper abs: arxiv.org/abs/2108.08265 pdf: arxiv.org/pdf/2108.08265…

Check out our #ICCV2021 paper “Structured Bird's-Eye-View Traffic Scene Understanding from Onboard Images” where we extract local road network in form of lane graph and object instances in bird’s-eye-view; from a single onboard camera image. arxiv.org/abs/2110.01997

Our very own Johannes Betz, Billy Zheng and Madhur Behl teamed up with Alex Liniger & Ugo Rosolia to create the first ever survey paper about the field of autonomous racing. Check our their preprint here: arxiv.org/abs/2202.07008 Open Robotics Robot Operating System (ROS) Roborace Indy Autonomous Challenge

What’s the best programming language to teach kids these days?

Argoverse is hosting 4 competitions this spring: Multi-agent Motion Forecasting eval.ai/web/challenges… Unified Detection, Tracking, Forecasting eval.ai/web/challenges… Scene Flow eval.ai/web/challenges… 3D Occupancy forecasting eval.ai/web/challenges… Please take a look!

TextMesh: Generation of Realistic 3D Meshes From Text Prompts extend NeRF to employ an SDF backbone, leading to improved 3D mesh extraction. In addition, propose a novel way to finetune the mesh texture, removing the effect of high saturation and improving the details of the

The recordings of all the talks of the Workshop on Autonomous Driving at #CVPR2023 are now online Workshop homepage: cvpr2023.wad.vision YouTube playlist: youtube.com/playlist?list=…

Do you care about safety and sample efficiency in RL algorithms, if so check out our #IROS2023 paper “A Multiplicative Value Function for Safe and Efficient Reinforcement Learning” Homepage: zhejz.github.io/saferl Arxiv: arxiv.org/abs/2303.04118 GitHub: github.com/nikeke19/Safe-…

TextMesh got accepted at 3DV! In Christina's internship project, we combine Dreamfusion with a SDF representation, and propose a novel multi-view consistent texture finetuning step leading to high-quality text-to-textured mesh results. Checkout: fabi92.github.io/textmesh/

Gaussian Garments: Reconstructing Simulation-Ready Clothing with Photorealistic Appearance from Multi-View Video Contribution quote from the paper: In summary, our main contributions are • a comprehensive pipeline for reconstructing the shape, appearance, and behavior of