Kavli Affiliate: Bo Gu | First 5 Authors: Zheng-Wei Liao, Xin-Wei Yi, Jing-Yang You, Bo Gu, Gang Su | Summary: Superconductivity in transition metal nitrides (TMNs) has been investigated for a long time, such as zirconium nitride (ZrN) with a superconducting transition temperature Tc of 10 K. Recently, a phase diagram has been revealed in […]
Kavli Affiliate: Yi Zhou | First 5 Authors: Qingyang Tan, Yi Zhou, Tuanfeng Wang, Duygu Ceylan, Xin Sun | Summary: Despite recent success, deep learning-based methods for predicting 3D garment deformation under body motion suffer from interpenetration problems between the garment and the body. To address this problem, we propose a novel collision handling neural […]
Kavli Affiliate: Zheng Zhu | First 5 Authors: Shuai Shen, Wanhua Li, Zheng Zhu, Yueqi Duan, Jie Zhou | Summary: Talking head synthesis is an emerging technology with wide applications in film dubbing, virtual avatars and online education. Recent NeRF-based methods generate more natural talking videos, as they better capture the 3D structural information of […]
Kavli Affiliate: Yi Zhou | First 5 Authors: Yi Zhou, Shan Hu, Zimo Sheng, , | Summary: The densest subgraph problem (DSG) aiming at finding an induced subgraph such that the average edge-weights of the subgraph is maximized, is a well-studied problem. However, when the input graph is a hypergraph, the existing notion of DSG […]
Kavli Affiliate: Yi Zhou | First 5 Authors: Runhua Xu, Nathalie Baracaldo, Yi Zhou, Ali Anwar, Swanand Kadhe | Summary: Federated learning has emerged as a privacy-preserving machine learning approach where multiple parties can train a single model without sharing their raw training data. Federated learning typically requires the utilization of multi-party computation techniques to […]
Kavli Affiliate: Yi Zhou | First 5 Authors: Runhua Xu, Nathalie Baracaldo, Yi Zhou, Ali Anwar, Swanand Kadhe | Summary: Federated learning has emerged as a privacy-preserving machine learning approach where multiple parties can train a single model without sharing their raw training data. Federated learning typically requires the utilization of multi-party computation techniques to […]
Kavli Affiliate: Biao Huang | First 5 Authors: Jianwei Lin, Jiatai Lin, Cheng Lu, Hao Chen, Huan Lin | Summary: Brain tumor segmentation (BTS) in magnetic resonance image (MRI) is crucial for brain tumor diagnosis, cancer management and research purposes. With the great success of the ten-year BraTS challenges as well as the advances of […]
Kavli Affiliate: Cheng Peng | First 5 Authors: Zhanzhan Cheng, Peng Zhang, Can Li, Qiao Liang, Yunlu Xu | Summary: Recently, automatically extracting information from visually rich documents (e.g., tickets and resumes) has become a hot and vital research topic due to its widespread commercial value. Most existing methods divide this task into two subparts: […]
Kavli Affiliate: Yi Zhou | First 5 Authors: Yu Li, Vivek Mishra, Yi Zhou, Fu-Chun Zhang, | Summary: Superconductivity in strongly correlated electrons can emerge out from a normal state that is beyond the Landau’s Fermi liquid paradigm, often dubbed as "non-Fermi liquid". While the theory for non-Fermi liquid is still not yet conclusive, a […]
Kavli Affiliate: Yi Zhou | First 5 Authors: Saeed Saadatnejad, Yi Zhou Ju, Alexandre Alahi, , | Summary: Safety is still the main issue of autonomous driving, and in order to be globally deployed, they need to predict pedestrians’ motions sufficiently in advance. While there is a lot of research on coarse-grained (human center prediction) […]