Ning Gao
@gaobaoding
Followers
96
Following
90
Media
2
Statuses
23
MLE @Google. Former @Bosch_AI. PhD @alr_lab_kit supervised by @geri_neumann. Work on robotics and AI.
Mountain View, CA
Joined November 2016
📢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"🎉 🌐 https://t.co/M183ag5iF0
@Bosch_AI @alr_lab_kit @corl_conf
2
10
48
0
0
0
📢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" ✨ 🌐 https://t.co/vPDLS2o8ls
1
2
11
huggingface.co
0
3
10
The submission deadline 🗓️is on 5th July, 2023. For more details please visit https://t.co/nGLch27uqU. Looking forward to seeing everyone there👏
sites.google.com
0
1
4
Codes and datasets are available now at
github.com
[CVPR 2022] What Matters For Meta-Learning Vision Regression Tasks? - boschresearch/what-matters-for-meta-learning
0
0
0
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!
0
2
7
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.
What Matters For Meta-Learning Vision Regression Tasks? https://t.co/v0jtVTMatG by @gaobaoding et al. #Statistics #Estimator
1
7
17
The future is now.
Today's live demo of Codex, our AI that translates natural language to code:
2
15
137
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! https://t.co/6l0TQgrPwx
2
12
60
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
Can your model solve 100 realistic, diverse and complex household activities? Prove it! ;) We are excited to announce the 1st BEHAVIOR Challenge for Embodied AI @ ICCV21, a challenge for visuo-motor long horizon activities in simulation. Website: https://t.co/R35XqZLBkd
3
116
506
good quick tutorial on optimizing your PyTorch code ⏲️: https://t.co/7CIDWfrI0J quick summary:
27
742
3K
After 2 weeks of fun and learning, that's a wrap for #MLSS2020! Hope that everyone enjoyed it as much as we did (and that we get to meet soon-ish)! 🍻@Mj33567683 @arvanitg @wittawatj @bschoelkopf 🙌@TechAtBloomberg @AmazonScience @Bosch_AI @GoogleAI cc @MPI_IS @Cyber_Valley
3
19
119
🧠🧠🧠
We are sharing our introduction video, meet our participants.🌍📽️ We are glad to have such diversity at #MLSS2020 enriching our discussions. https://t.co/AiopTCCtgk Thanks to our sponsors (@Bloomberg @AmazonScience @GoogleAI @Bosch_AI) Video credits: Alejandro Posada @MPI_IS
0
0
1