📣 Google/ETH PhD position available
The group of Prof Schindler at ETH offers a fully funded PhD position in collaboration with our team at Google on the topic of 3D computer vision and generative models.
For more details (including how to apply):
jobs.ethz.ch/job/view/JOPG_e…
2022 Google Zurich internship call!
If you are:
- a brilliant PhD student in CV/ML with top-tier publications (Neurips/ICML/ICCV/CVPR/..)
- interested in a 2022 Google research internship in the vibrant Zurich environment
- actively working on 3D comput…lnkd.in/dvTWAPdW
Hiring Computer Vision experts!
We are looking for CV experts to grow our Google applied research team in Mountain View and Zurich.
Our team works at the intersection of research and product to solve challenging real problems an…lnkd.in/dNZDB4bnlnkd.in/dcRPzMPt
Excited about the work we'll present at #ICCV2023 on "Robust monocular depth estimation under challenging conditions". A simple but effective way to deal with various weather/illumination conditions, applicable to most depth ML solutions in AD and beyond: md4all.github.io
The next edition of 3DV, the main research summit in 3D Computer Vision, will take place in March 2024 in a very special location. Proud to be part of it as PC with @taiyasaki and @SiyuTang3
📢📢📢 Excited to co-chair 3DV 2024 with Siyu Tang @SiyuTang3 and Federico Tombari @fedassa
Smaller conferences are where you create the networking that will last a lifetime.
New features on Search and Lens to help learners get a deeper understanding of math and science topics on Search, including step-by-step explanations and solutions for math problems, help with physics word problems + new 3D models of science topics.
blog.google/products/search/…
Visit the #ICCV2023 Google booth today at 3:30 PM for a Q&A session on the limitations of employing neural implicit representations for real world applications. Don’t miss the opportunity to learn about Google research contributions toward this goal.
Will be presenting our work "On the Practicality of Deterministic Epistemic Uncertainty" next week at #ICML2022 in Baltimore.
If you are interested checkout our paper or visit us at our poster on
Tue Jul 19 between 06:30 PM & 08:30 PM @ Hall E 506
arxiv.org/abs/2107.00649
🎉 Extremely honored to share that our MICCAI 2022 work, 4D-OR, its subsequent publication in IJCARS, "Holistic OR domain modeling: a semantic scene graph approach," has won the 1st Prize in the IJCARS-MICCAI 2022 Best Paper Award! 🏆
#IJCARS#MICCAI@MICCAI_Society
Fantastic result from the chair of Applied mechanics at TUM. We're honored to be part of this collaboration where we get to power Lola the humanoid with our semantic SLAM perception tech #tum#ai#SPECTRUMlnkd.in/d46f5kR
Our work on Variational Transformer Networks for layout generation got featured on the Google AI blog. The work will be presented at CVPR21 on June 24th and a pre-release is available on arXiv.
Blog post:
Official Tweet: https:/…lnkd.in/dSuZVFxlnkd.in/dBgXeRp
Great accomplishment from our team at CAMP, TUM! More details on the accepted papers to follow up soon. Looking forward to seeing you in Vancouver! lnkd.in/edmFmGB2
Our work on Compositional Zero Shot Learning using graph embeddings - a collaboration across MPI, U.Tübingen, TUM and Google to be presented at #CVPR21
Very happy to share that 5 of our papers got accepted at #eccv2020, of which 3 as orals (top 2% this year). Kudos to all my awesome co-authors across Google, TUM, Stanford, Oxford, Chalmers, Tsinghua (among others) for the great work and results. More det…lnkd.in/dZDq8AM
This week at #iccv2021 we will present our newest work for monocular 6D object pose estimation - a collaboration between Google, TUM and Tsinghua. See you at the virtual booth :) lnkd.in/gQcrKgN4
Our new paper "𝐔𝐧𝐬𝐮𝐩𝐞𝐫𝐯𝐢𝐬𝐞𝐝 𝐩𝐚𝐫𝐭 𝐫𝐞𝐩𝐫𝐞𝐬𝐞𝐧𝐭𝐚𝐭𝐢𝐨𝐧 𝐛𝐲 𝐅𝐥𝐨𝐰 𝐂𝐚𝐩𝐬𝐮𝐥𝐞𝐬" is out arxiv.org/abs/2011.13920
TL;DR: are newborns exposed to 14 million (i.e. ImageNet) labeled images? No! They learn by observing motion... in an unsupervised fashion
Google released the open source TensorFlow-3D codebase for 3D object detection/scene understanding (including interfaces to 3D datasets)
github.com/google-research/g…
3DV24 will follow the ECCV’22 approach and only present papers on-site when at least one of the authors is on-site to present the paper. If no author of an accepted paper can participate on-site, their paper will still be published in proceedings, but won't be presented on-site