1 code implementation • 2 Feb 2024 • Menghua Wu, Yujia Bao, Regina Barzilay, Tommi Jaakkola
Causal discovery, the task of inferring causal structure from data, promises to accelerate scientific research, inform policy making, and more.
1 code implementation • CVPR 2023 • Menghua Wu, Hao Zhu, Linjia Huang, Yiyu Zhuang, Yuanxun Lu, Xun Cao
Synthesizing high-quality 3D face models from natural language descriptions is very valuable for many applications, including avatar creation, virtual reality, and telepresence.
1 code implementation • 8 Apr 2023 • Mohamed Amine Ketata, Cedrik Laue, Ruslan Mammadov, Hannes Stärk, Menghua Wu, Gabriele Corso, Céline Marquet, Regina Barzilay, Tommi S. Jaakkola
Understanding how proteins structurally interact is crucial to modern biology, with applications in drug discovery and protein design.
1 code implementation • 10 Feb 2023 • Longwei Guo, Hao Zhu, Yuanxun Lu, Menghua Wu, Xun Cao
We propose a robust and accurate non-parametric method for single-view 3D face reconstruction (SVFR).
1 code implementation • 1 Nov 2021 • Hao Zhu, Haotian Yang, Longwei Guo, Yidi Zhang, Yanru Wang, Mingkai Huang, Menghua Wu, Qiu Shen, Ruigang Yang, Xun Cao
By training on FaceScape data, a novel algorithm is proposed to predict elaborate riggable 3D face models from a single image input.
2 code implementations • ICLR 2020 • Yujia Bao, Menghua Wu, Shiyu Chang, Regina Barzilay
In this paper, we explore meta-learning for few-shot text classification.