Linh Tran (she/her)
@linh_trdSenior Research Scientist @Autodesk | PhD @imperialcollege | Former @Samsung, @GoogleAI | Vietnamese European (she/her)
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Excited to share Clip-Forge (CVPR 2022) with everyone. This is a very simple but effective method which tackles the problem of generating shapes from text when paired text and shape data are not available.
📢JoinABLe is a new #CVPR2022 paper from the @autodesk AI Lab and @MIT_CSAIL Ever wondered how physical objects with hundreds of parts get assembled in CAD? It’s a tedious process that we automate by learning how pair of parts connect to form joints. 1/9🧵
We are looking for an #intern at the Autodesk AI lab for this summer. If you are interested in deep generative modelling, representation learning with applications to 3D vision, please reach out to me or apply to this link: autodesk.wd1.myworkdayjobs.com/Ext/job/United… #hiring
#WiML2021 is excited to host our first virtual Mentorship Roundtable session on December 10, 11:00-12:45 UTC. We will be hosting 22 roundtables on both research and career and life advice topics. Check out the full list here: sites.google.com/view/wiml2021/… #NeurIPS2021
It was such a pleasure working alongside these incredibly talented ladies! If you are at #NeurIPS2021, please come by to our #WiML2021 workshop. We have fantastic speakers, mentors, poster presenters and sponsors for you lined up! 🔥🔥🔥
The #WiML board would like to thank the 11 organizers of #WiML2021 for their hard work organizing this year’s workshop! @NeurIPSConf #WiML2021 #NeurIPS2021
Applications are now open to participate in this year’s Women in Machine Learning (#WiML2021) Workshop cohosted with @NeurIPSConf as a volunteer, social host, or poster mentor/mentee! To be considered, please fill out this form before November 5, 2021: forms.gle/mvJuWSPsxmKbFh….
CLIP-Forge: Towards Zero-Shot Text-to-Shape Generation abs: arxiv.org/abs/2110.02624 zero-shot text-to-shape generation based on a two-stage training process, which only depends on an unlabelled shape dataset and a pre-trained image-text network such as CLIP
Do you want #DeepLearning a style similarity loss for 3D shapes? Just released the code for our @ICCV_2021 paper, UVStyle-Net: Unsupervised Few-shot Learning of 3D Style Similarity Measure for B-Reps. Check out the paper, project, code, data, and demos: github.com/AutodeskAILab/…
🎺 We extend the submission deadline on CMT to Oct 5 11:59 AOE!! Don't miss this great opportunity to submit your work to #WiML2021 @NeurIPSConf ! Submission format: 1-page contribution. Submit here: cmt3.research.microsoft.com/WIML2021 Full CFP here: bit.ly/wiml2021
Please consider submitting to WiML! Deadline is Sept 29 AoE!
The submission deadline for #WiML2021 is approaching fast! Apply to present new, previously, or concurrently published work by Sep 29 11:59pm AoE! Submission format: 1-page contribution. Submit here: cmt3.research.microsoft.com/WIML2021 Full CFP here: bit.ly/wiml2021 #NeurIPS2021
Call for Participation! The 16th Workshop for Women in Machine Learning (WiML) will be co-located with the virtual @NeurIPSConf in December, 2021. Deadline for submission: September 29th, 2021 Read the full CFP: bit.ly/wiml2021 #WiML #WiML2021 #NeurIPS2021
📢 We have a mini-batch of papers at #CVPR2021 focused on deep learning with solid models. The objects around us, chairs, cars, devices etc., are almost always designed as solid models in CAD, but surprisingly few deep learning approaches have been used... until now. A thread 🧵
There are several opportunities to join our team in autumn, either in UK, EU or across borders. PM if you're interested in PhD/post-doc options. We develop next generation methods for the exploration and analysis of health data.
In Hungarian, we don’t use he/she there is only one gender pronoun “Ö”. But it’s fascinating when this is fed through Google Translate, the algorithms highlight the biases that are there. Then imagine enacting any kind of change from those biases, encoded into computer code.
I was reading an old @NeurIPSConf paper form 2005, and was surprised that there's no appendix, so I checked when appendices started becoming a 'trend' (img). Since I already had the data, I checked other trends as well (blogpost): towardsdatascience.com/neurips-confer…
Excited to share a new paper, Curve Circuits We reverse engineer a non-trivial 50k+ parameter learned algorithm from the weights of a neural network and use its core ideas to craft an artificial artificial neural network from scratch that reimplements it distill.pub/2020/circuits/…
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