Our model MM-FSS leverages 3D, 2D, & text modalities for robust few-shot 3D segmentation—all without extra labeling cost. 🤩
arxiv.org/pdf/2410.22489
More details👇
Our model MM-FSS leverages 3D, 2D, & text modalities for robust few-shot 3D segmentation—all without extra labeling cost. 🤩
arxiv.org/pdf/2410.22489
More details👇
It turns out, Bayesian reasoning has some surprising answers - no cognitive biases needed! Let's explore this fascinating paradox quickly ☺️
It turns out, Bayesian reasoning has some surprising answers - no cognitive biases needed! Let's explore this fascinating paradox quickly ☺️
#Whisper #AI #Shqip #Albanian #Kosovo
Grateful for the incredible support of my PhD students, postdocs, collaborators and family. 🙏
Details: www.dtu.dk/english/news...
Photo: Niels Hougaard
Grateful for the incredible support of my PhD students, postdocs, collaborators and family. 🙏
Details: www.dtu.dk/english/news...
Photo: Niels Hougaard
fnzhan.com/Evolutive-Re...
fnzhan.com/Evolutive-Re...
🗓️ West Ballroom A-D #6104
🕒 Thu, 12 Dec, 4:30 p.m. – 7:30 p.m. PST
@madstoftrup.bsky.social and I are presenting LoQT: Low-Rank Adapters for Quantized Pretraining: arxiv.org/abs/2405.16528
#Neurips2024
🗓️ West Ballroom A-D #6104
🕒 Thu, 12 Dec, 4:30 p.m. – 7:30 p.m. PST
@madstoftrup.bsky.social and I are presenting LoQT: Low-Rank Adapters for Quantized Pretraining: arxiv.org/abs/2405.16528
#Neurips2024
Zhenggang Tang, Yuchen Fan, Dilin Wang, Hongyu Xu, Rakesh Ranjan, Alexander Schwing, Zhicheng Yan
tl;dr: multi-view decoder blocks/Cross-Reference-View attention blocks->DUSt3R
arxiv.org/abs/2412.06974
Zhenggang Tang, Yuchen Fan, Dilin Wang, Hongyu Xu, Rakesh Ranjan, Alexander Schwing, Zhicheng Yan
tl;dr: multi-view decoder blocks/Cross-Reference-View attention blocks->DUSt3R
arxiv.org/abs/2412.06974
(1/5)
(1/5)
Boulder is a lovely college town 30 minutes from Denver and 1 hour from Rocky Mountain National Park 😎
Apply by December 15th!
Boulder is a lovely college town 30 minutes from Denver and 1 hour from Rocky Mountain National Park 😎
Apply by December 15th!
You now can, with LoQT: Low-Rank Adapters for Quantized Pretaining! arxiv.org/abs/2405.16528
1/4
You now can, with LoQT: Low-Rank Adapters for Quantized Pretaining! arxiv.org/abs/2405.16528
1/4