no code implementations • ECCV 2020 • Yujun Cai, Lin Huang, Yiwei Wang, Tat-Jen Cham, Jianfei Cai, Junsong Yuan, Jun Liu, Xu Yang, Yiheng Zhu, Xiaohui Shen, Ding Liu, Jing Liu, Nadia Magnenat Thalmann
Last, in order to incorporate a general motion space for high-quality prediction, we build a memory-based dictionary, which aims to preserve the global motion patterns in training data to guide the predictions.
no code implementations • ECCV 2020 • Lin Huang, Jianchao Tan, Ji Liu, Junsong Yuan
To address this issue, we connect this structured output learning problem with the structured modeling framework in sequence transduction field.
no code implementations • 17 Jun 2025 • Giulia Luise, Chin-wei Huang, Thijs Vogels, Derk P. Kooi, Sebastian Ehlert, Stephanie Lanius, Klaas J. H. Giesbertz, Amir Karton, Deniz Gunceler, Megan Stanley, Wessel P. Bruinsma, Lin Huang, Xinran Wei, José Garrido Torres, Abylay Katbashev, Rodrigo Chavez Zavaleta, Bálint Máté, Sékou-Oumar Kaba, Roberto Sordillo, Yingrong Chen, David B. Williams-Young, Christopher M. Bishop, Jan Hermann, Rianne van den Berg, Paola Gori-Giorgi
Skala achieves chemical accuracy for atomization energies of small molecules while retaining the computational efficiency typical of semi-local DFT.
no code implementations • 26 Feb 2025 • Yunyang Li, Zaishuo Xia, Lin Huang, Xinran Wei, Han Yang, Sam Harshe, Zun Wang, Chang Liu, Jia Zhang, Bin Shao, Mark B. Gerstein
In this study, we generate a substantially larger training set (PubChemQH) than used previously and use it to create a scalable model for DFT calculations with physical accuracy.
1 code implementation • 3 Feb 2025 • Erpai Luo, Xinran Wei, Lin Huang, Yunyang Li, Han Yang, Zaishuo Xia, Zun Wang, Chang Liu, Bin Shao, Jia Zhang
Beyond Hamiltonian prediction, the proposed sparsification techniques also hold significant potential for improving the efficiency and scalability of other SE(3) equivariant networks, further broadening their applicability and impact.
no code implementations • 31 Jan 2025 • Yunyang Li, Lin Huang, Zhihao Ding, Chu Wang, Xinran Wei, Han Yang, Zun Wang, Chang Liu, Yu Shi, Peiran Jin, Jia Zhang, Mark Gerstein, Tao Qin
Equivariant Graph Neural Networks (EGNNs) have demonstrated significant success in modeling microscale systems, including those in chemistry, biology and materials science.
no code implementations • 14 Oct 2024 • Yuxuan Ren, Dihan Zheng, Chang Liu, Peiran Jin, Yu Shi, Lin Huang, Jiyan He, Shengjie Luo, Tao Qin, Tie-Yan Liu
To support various molecular properties at scale, machine learning models are trained in the multi-task learning paradigm.
1 code implementation • 9 Aug 2024 • Lin Huang, Xiaofei Liu, Shunfang Wang, Wenwen Min
MACD employs adversarial learning to align real ST data with simulated ST data generated from scRNA-seq data.
1 code implementation • 6 Jun 2024 • Zun Wang, Chang Liu, Nianlong Zou, He Zhang, Xinran Wei, Lin Huang, Lijun Wu, Bin Shao
In this study, we introduce a unified neural network architecture, the Deep Equilibrium Density Functional Theory Hamiltonian (DEQH) model, which incorporates Deep Equilibrium Models (DEQs) for predicting Density Functional Theory (DFT) Hamiltonians.
no code implementations • 31 Jul 2023 • Lin Huang, Weisheng Li, Yujuan Tan, Linlin Shen, Jing Yu
In this study, the structural problems of the YOLOv5 model were analyzed emphatically.
no code implementations • CVPR 2023 • Lin Huang, Chung-Ching Lin, Kevin Lin, Lin Liang, Lijuan Wang, Junsong Yuan, Zicheng Liu
We present a unified framework for camera-space 3D hand pose estimation from a single RGB image based on 3D implicit representation.
no code implementations • 7 May 2023 • Lin Huang, Weisheng Li, Yujuan Tan, Linlin Shen, Jing Yu, Haojie Fu
Maintaining inference speeds remarkably similar to those of the YOLOv5 model, the large, medium, and small YOLOCS models surpass the YOLOv5 model's AP by 1. 1%, 2. 3%, and 5. 2%, respectively.
no code implementations • 30 Jul 2022 • Lin Huang, Tomas Hodan, Lingni Ma, Linguang Zhang, Luan Tran, Christopher Twigg, Po-Chen Wu, Junsong Yuan, Cem Keskin, Robert Wang
Unlike classical correspondence-based methods which predict 3D object coordinates at pixels of the input image, the proposed method predicts 3D object coordinates at 3D query points sampled in the camera frustum.
2 code implementations • 23 Jun 2022 • Weisheng Li, Lin Huang
Applying an attention module here can effectively improve the detection accuracy of the model.
no code implementations • 18 Feb 2022 • Lin Huang, Qiyuan Dong, Lijun Wu, Jia Zhang, Jiang Bian, Tie-Yan Liu
As a specific semantic segmentation task, aerial imagery segmentation has been widely employed in high spatial resolution (HSR) remote sensing images understanding.
no code implementations • 18 Feb 2022 • Lin Huang, Lijun Wu, Jia Zhang, Jiang Bian, Tie-Yan Liu
How to discover the useful implicit relation between entities and effectively utilize the relations for each entity under various circumstances is crucial.
no code implementations • 21 Jan 2021 • Yongjian Zhou, Liyang Liao, Xiaofeng Zhou, Hua Bai, Mingkun Zhao, Caihua Wan, Siqi Yin, Lin Huang, Tingwen Guo, Lei Han, Ruyi Chen, Zhiyuan Zhou, Xiufeng Han, Feng Pan, Cheng Song
The interlayer coupling mediated by fermions in ferromagnets brings about parallel and anti-parallel magnetization orientations of two magnetic layers, resulting in the giant magnetoresistance, which forms the foundation in spintronics and accelerates the development of information technology.
Materials Science