Excited to have a poster presentation for our latest research V2V-GoT at #ICCV2025 X-Sense Workshop! 🗓 Date & Time: Oct 20th, Monday, 11:40am ~ 12:30pm 📍 Location: Exhibition Hall II (No 188 ~ 210) 🌐 Paper, code, and dataset: https://t.co/GTnWrShw80 #NVIDIA #CMU

@CVPR is around the corner!! Join us at the Workshop on T4V at #CVPR2025 with a great speaker lineup (@MikeShou1, @jw2yang4ai, @WenhuChen, @roeiherzig, Yuheng Li, Kristen Grauman) covering diverse topics! Website: https://t.co/nRRhNR1NUj #CVPR #Transformer #Vision #T4V2025 #T4V

I’m thrilled to unveil @Waabi_ai latest research, Copilot4D: the first foundation model that explicitly reasons in both 3D space and time and leverages LiDAR. Big step forward in bringing generative AI to the physical world. Learn more here:

Introducing Sora, our text-to-video model. Sora can create videos of up to 60 seconds featuring highly detailed scenes, complex camera motion, and multiple characters with vibrant emotions. https://t.co/7j2JN27M3W Prompt: “Beautiful, snowy

#ICRA2024 workshops and tutorials are out! Nearly 80 sessions to choose from. They will have their own calls for contributions and activities, so make sure to check the individual websites regularly. Details here ⬇️ https://t.co/1rKvFVgmZ3

🚀 Wayve's paper “Driving with LLMs: Fusing Object-Level Vector Modality for Explainable Autonomous Driving” got accepted at #ICRA2024! 🤖This paper introduces Language-Action Models, the first step in Wayve's journey to add language as a new modality to our AI foundation model

It's been great to see news about accepted papers and workshops online. Check #ICRA2024 for recent posts and share your own updates. https://t.co/9JXGs5mALd

Our code and model checkpoints are available at https://t.co/mtRAcVkz4r .

The experiment results show that our algorithm improves the tracking accuracy by 17% with only 0.037x communication costs compared with the state-of-the-art method in V2V4Real. For more details, please refer to our paper at https://t.co/0nFytaGdlW.

Our algorithm is designed to be capable of estimating observation noise covariance of each detection from different Connected Autonomous Vehicles (CAVs).

Our paper "Probabilistic 3D Multi-Object Cooperative Tracking for Autonomous Driving via Differentiable Multi-Sensor Kalman Filter" is accepted by #ICRA2024! Checkout our paper, code, and videos at https://t.co/SmBVkV22tH ! with @chienyi_wang @CMHungSteven @nvidia @CMU_Robotics

The preliminary #ICRA2024 "program at a glance" is now available! It's going to be a busy week: https://t.co/PQGEOo1xhn

My @Waymo autonomous driving vehicle (self-driving car) ride around Golden Gate Park and Golden Gate Bridge, San Francisco. Link to my all 5 videos:

See our paper and presentation at #IROS2020 #OnDemand. We present "Segmenting the Future", a method to forecast the scene semantic configuration of a video. W/ @HsukuangChiu & @jcniebles from @StanfordSVL @StanfordAILab Paper: https://t.co/60i6LqYoEa https://t.co/JpjkPEjeWt

I was invited to the #IROS2020 Tutorial on Deep Representation and Estimation of State for Robotics by @deanh_tw @danfei_xu @KuanFang: https://t.co/p2lE0m1HGx I created a mini-course on Representations and their interplay with decision-making & control: https://t.co/SozA3TkEOf

We made the first place at the NuScenes Tracking Challenge (AI Driving Olympics @NeurIPSConf ) https://t.co/XZgqTddfv0 Spoiler alert: It's a Kalman filter! We beat the AB3DMOT baseline by a large margin. arXiv https://t.co/ph1zcV262m