Ning Gao

📢Interested in 6D pose estimation of novel objects w/o mesh models and gt-masks from clutter scenes? 🤖Check out our #CORL2023 paper "SA6D: Self-Adaptive Few-Shot 6D Pose Estimator for Novel and Occluded Objects"🎉 🌐sites.google.com/view/sa6d @Bosch_AI @alr_lab_kit @corl_conf

Joint work with Bernard Hohmann and @geri_neumann @Bosch_AI @alr_lab_kit

📢Interested in Object-Centric Slot Representation w/o predefined slots for a better scene understanding? 🚀Thrilled to share our #BMVC23 paper "Enhancing Interpretable Object Abstraction via Clustering-based Slot Initialization" ✨ 🌐gaobaoding.github.io/publication/bm…

@Bosch_AI @alr_lab_kit @corl_conf It's available now on hugging face huggingface.co/papers/2308.16…

📢Interested in 6D pose estimation of novel objects w/o mesh models and gt-masks from clutter scenes? 🤖Check out our #CORL2023 paper "SA6D: Self-Adaptive Few-Shot 6D Pose Estimator for Novel and Occluded Objects"🎉 🌐sites.google.com/view/sa6d @Bosch_AI @alr_lab_kit @corl_conf

joint work with @VienNgo4, Hanna Ziesche, and @geri_neumann 👏

@vaisakhsshaj Congrats Vaisakh, very well done!🎊🎉

I'm super excited about this PhD work of mine, "Multi Time Scale World Models", which has been accepted to Neurips 2023 as a spotlight (Top 3% of all submitted papers). Details are in the thread below. (1/6)

@ieee_ras_icra Do you accept appendix/supplementary material besides video?

We look forward to your #ICRA2024 submissions! Call for papers: 2024.ieee-icra.org/call-for-contr… Call for workshops and tutorials: 2024.ieee-icra.org/workshops-tuto… Check all the important dates below ⬇️

@ManlingLi_ @northwesterncs @StanfordSVL @jiajunwu_cs @elgreco_winter @kchonyc @JiaweiHan @kathymckeown Congrats 🎉🥳

I am excited to join @northwesterncs as an assistant professor in Fall24 and @StanfordSVL as a postdoc with @jiajunwu_cs. I cannot say how much I appreciate the help from my advisor @elgreco_winter, references @ShihFuChang @kchonyc @JiaweiHan @kathymckeown and many many people.

@Bosch_AI The submission deadline 🗓️is on 5th July, 2023. For more details please visit sites.google.com/view/iros23-po…. Looking forward to seeing everyone there👏

The submission deadline 🗓️is on 5th July, 2023. For more details please visit sites.google.com/view/iros23-po…. Looking forward to seeing everyone there👏

@georgiagkioxari Thanks for the great work! Is Omni3D fully/partially RGB-D images or purely RGB?

For recognition to graduate from 2D to 3D we need new tasks. Omni3D is a large benchmark for 3D object detection in the wild with over 230k images & 3 million instances and draws from existing datasets. Our model trained on Omni3D generalizes to new domains like AR captures

@Bosch_AI @KITKarlsruhe Pls join our poster session on Thursday, 23th June 2:30PM-5:00PM if you have any questions!

Codes and datasets are available now at github.com/boschresearch/…

Our work 'What Matters for Meta-Learning Vision Regression Tasks?' is accepted at #CVPR2022. Check it out if you are interested :) Codes and datasets will be available soon. Thanks to professor @geri_neumann and our collaborators Hanna Ziesche, @VienNgo4, @volppmichael.

Looking forward to attending the #WiCV2022 @CVPR workshop and presenting our work ''Category-Agnostic 6D Pose Estimation with Conditional Neural Processes''. Thanks to my co-authors @gaobaoding & Hanna Ziesche & @geri_neumann!

The future is now.

Following their #ICML2021 spotlight presentation, @edaxberger, @eric_nalisnick, @JamesAllingham, @JaviAC7, and @jmhernandez233 explain their work on subnetwork inference in Bayesian neural networks in the latest blog post on the MLG blog. Check it out! mlg-blog.com/2021/07/21/sub…

Drum roll! We release BEHAVIOR, an embodied AI benchmark and challenge of 100 complex household activities that would pose significant difficulties to all of today’s state-of-the-art algorithms. Hope to see great participation to this challenge @ICCV_2021

Overwhelmed by the amount of content at #CVPR2021? Two members of our community have created awesome web tools for navigating the proceedings! Check them out -- details in thread!

I couldn't resist. With contributions from @maxhkw