Search Results for author: Lin Huang

Found 17 papers, 4 papers with code

Learning Progressive Joint Propagation for Human Motion Prediction

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.

Human motion prediction motion prediction +1

Hand-Transformer: Non-Autoregressive Structured Modeling for 3D Hand Pose Estimation

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.

3D Hand Pose Estimation Decoder

Enhancing the Scalability and Applicability of Kohn-Sham Hamiltonians for Molecular Systems

no code implementations26 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.

Efficient and Scalable Density Functional Theory Hamiltonian Prediction through Adaptive Sparsity

1 code implementation3 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.

Computational chemistry Prediction

E2Former: A Linear-time Efficient and Equivariant Transformer for Scalable Molecular Modeling

no code implementations31 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.

Physical Consistency Bridges Heterogeneous Data in Molecular Multi-Task Learning

no code implementations14 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.

Multi-Task Learning

Masked adversarial neural network for cell type deconvolution in spatial transcriptomics

1 code implementation9 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.

Infusing Self-Consistency into Density Functional Theory Hamiltonian Prediction via Deep Equilibrium Models

1 code implementation6 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.

Neural Voting Field for Camera-Space 3D Hand Pose Estimation

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.

3D Hand Pose Estimation regression

YOLOCS: Object Detection based on Dense Channel Compression for Feature Spatial Solidification

no code implementations7 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.

object-detection Object Detection

Neural Correspondence Field for Object Pose Estimation

no code implementations30 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.

3D Reconstruction Object +1

AF$_2$: Adaptive Focus Framework for Aerial Imagery Segmentation

no code implementations18 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.

Segmentation Semantic Segmentation

Dynamic Relation Discovery and Utilization in Multi-Entity Time Series Forecasting

no code implementations18 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.

Graph Learning Graph Neural Network +3

Magnon-mediated interlayer coupling in an all-antiferromagnetic junction

no code implementations21 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

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