Can we bring #AIGC success to autonomous driving 🤔? 🔊 Introducing 𝗨𝗹𝘁𝗿𝗮𝗟𝗶𝗗𝗔𝗥, an interpretable and manipulable framework for high-fidelity LiDAR point cloud completion and generation. Project page: waabi.ai/ultralidar #CVPR2023 #3D #GenerativeModel 1/n

So excited to share Waabi strategic partnership with Uber Freight to accelerate the safe deployment of #AI-powered autonomous trucks at scale. Huge step toward the future of safer roads and more efficient supply chains. waabi.ai/waabi-uber-fre…

What makes LiDAR look realistic to a self-driving car? 🤖🚗Come check out our #ICCV2023 poster, "Towards Zero Domain Gap: A Study of Realistic LiDAR Simulation for Autonomy Testing" to find out! Thu 10:30am CET, Nord 011 PDF, Video, etc.: waabi.ai/lidar-dg/

Introducing OpenWebMath, a massive dataset containing every math document found on the internet - with equations in LaTeX format! 🤗 Download on @HuggingFace: huggingface.co/datasets/open-… 📝 Read the paper: arxiv.org/abs/2310.06786 w/ Marco Dos Santos, Zhangir Azerbayev, Jimmy Ba!

Can we do camera simulation on large scenes in real time? Check our #ICCV23 paper Neural Scene Rasterization which combines neural rendering and traditional rasterization pipeline for realistic and efficient (> 100FPS) rendering on large scenes! Website: waabi.ai/neuras

Proud to introduce Llemma, the first models trained on OpenWebMath (part of the 55B mathematical tokens in ProofPile II). Llemma serves as a platform for future research on quantitative reasoning and is a very powerful base model for mathematical tasks!

Researchers from Waabi and the University of Toronto Introduce LabelFormer: An Efficient Transformer-Based AI Model to Refine Object Trajectories for Auto-Labelling Quick read: marktechpost.com/2023/11/13/res… Paper: arxiv.org/abs/2311.01444 Project Page: waabi.ai/labelformer/

"Trajeglish: Learning the Language of Driving Scenarios" w/ Jason Peng Sanja Fidler Discrete sequence modeling for controlling interactive agents in self-driving simulation NVIDIA Vector Institute U of T Department of Computer Science Simon Fraser University research.nvidia.com/labs/toronto-a… arxiv.org/abs/2312.04535 1/6

Can we simulate intricate lighting effects for driving scenes? Check our #NeurIPS paper LightSim which combines neural and physics-based rendering for realistic, controllable and scalable lighting simulation! Website: waabi.ai/lightsim Arxiv: arxiv.org/abs/2312.06654 [1/n]

📢📢📢 The AMV-Bench dataset is now released! This SLAM benchmark features 7 cameras (including a stereo pair) and 116 sequences of real-world driving with high-quality ground-truth, diverse environments, weather and motion paths. Check out bit.ly/amv-slam for more!

We are really excited about the release!! The dataset is live now with instructions and an example notebook. The sequences are specially selected to be very challenging! Please feel free to reach out to either Joyce or myself with any questions! 😃

#CVPR2024 Workshop on AV Simulation! Simulation is a crucial tool to accelerate the development of safe autonomous driving (AD). In our full-day CVPR workshop with exciting speakers from Waymo, Tesla, Waabi, Wayve, Nuro, Princeton and many others, we’re bringing together 1/N

Could we reconstruct large scenes in high quality in 30s? Yes! Excited to share our #ECCV24 paper, G3R: Gradient-Guided Generalizable Reconstruction (waabi.ai/g3r), which learns a network to iteratively refine the predicted 3D representation with 3D gradient feedback.

How do we explain the activation patterns of neurons in language models like Llama? I'm excited to share work that we did at Transluce to inexpensively generate high-quality neuron descriptions at scale!