Search Results - "Zhu, Haoyi"

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  1. 1

    AlphaPose: Whole-Body Regional Multi-Person Pose Estimation and Tracking in Real-Time by Fang, Hao-Shu, Li, Jiefeng, Tang, Hongyang, Xu, Chao, Zhu, Haoyi, Xiu, Yuliang, Li, Yong-Lu, Lu, Cewu

    “…Accurate whole-body multi-person pose estimation and tracking is an important yet challenging topic in computer vision. To capture the subtle actions of humans…”
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    Journal Article
  2. 2

    AlphaTracker: a multi-animal tracking and behavioral analysis tool by Chen, Zexin, Zhang, Ruihan, Fang, Hao-Shu, Zhang, Yu E, Bal, Aneesh, Zhou, Haowen, Rock, Rachel R, Padilla-Coreano, Nancy, Keyes, Laurel R, Zhu, Haoyi, Li, Yong-Lu, Komiyama, Takaki, Tye, Kay M, Lu, Cewu

    Published in Frontiers in behavioral neuroscience (30-05-2023)
    “…Computer vision has emerged as a powerful tool to elevate behavioral research. This protocol describes a computer vision machine learning pipeline called…”
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    Journal Article
  3. 3

    X-NeRF: Explicit Neural Radiance Field for Multi-Scene 360° Insufficient RGB-D Views by Zhu, Haoyi

    “…Neural Radiance Fields (NeRFs), despite their outstanding performance on novel view synthesis, often need dense input views. Many papers train one model for…”
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    Conference Proceeding
  4. 4
  5. 5

    Unsupervised Multi-Task Learning for 3D Subtomogram Image Alignment, Clustering and Segmentation by Zhu, Haoyi, Wang, Chuting, Wang, Yuanxin, Fan, Zhaoxin, Uddin, Mostofa Rafid, Gao, Xin, Zhang, Jing, Zeng, Xiangrui, Xu, Min

    “…3D subtomogram image alignment, clustering, and segmentation are vital to macromolecular structure recognition in cryo-electron tomography (cryo-ET). However,…”
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    Conference Proceeding
  6. 6

    X-NeRF: Explicit Neural Radiance Field for Multi-Scene 360$^{\circ} $ Insufficient RGB-D Views by Zhu, Haoyi, Fang, Hao-Shu, Lu, Cewu

    Published 11-10-2022
    “…Neural Radiance Fields (NeRFs), despite their outstanding performance on novel view synthesis, often need dense input views. Many papers train one model for…”
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    Journal Article
  7. 7

    Application of Virtual Reality Technology Based on Fast Filtering Algorithm in Switching Operation of Substation by Zhu, Haoyi, Qiao, Shi, Lu, Yi, Zhao, Xiaolin

    “…At present, VR(Virtual Reality) technology is widely used in various fields, and its effective integration with power system can realize the application of the…”
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    Conference Proceeding
  8. 8

    SPA: 3D Spatial-Awareness Enables Effective Embodied Representation by Zhu, Haoyi, Yang, Honghui, Wang, Yating, Yang, Jiange, Wang, Limin, He, Tong

    Published 10-10-2024
    “…In this paper, we introduce SPA, a novel representation learning framework that emphasizes the importance of 3D spatial awareness in embodied AI. Our approach…”
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    Journal Article
  9. 9

    Research and application of substation operation auxiliary command technology by Zhu, Haoyi, Qiao, Shi, Lu, Yi, Zhao, Xiaolin

    “…Based on the application of MR technology in the power system, mainly focusing on the three-dimensional display of the whole resources of the power grid, this…”
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    Conference Proceeding
  10. 10

    Point Cloud Matters: Rethinking the Impact of Different Observation Spaces on Robot Learning by Zhu, Haoyi, Wang, Yating, Huang, Di, Ye, Weicai, Ouyang, Wanli, He, Tong

    Published 04-02-2024
    “…In robot learning, the observation space is crucial due to the distinct characteristics of different modalities, which can potentially become a bottleneck…”
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    Journal Article
  11. 11

    Multi-Person Full Body Pose Estimation by Zhu, Haoyi, Jie, Cheng, Jiang, Shaofei

    Published 23-08-2020
    “…Multi-person pose estimation plays an important role in many fields. Although previous works have researched a lot on different parts of human pose estimation,…”
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    Journal Article
  12. 12

    RH20T: A Comprehensive Robotic Dataset for Learning Diverse Skills in One-Shot by Fang, Hao-Shu, Fang, Hongjie, Tang, Zhenyu, Liu, Jirong, Wang, Chenxi, Wang, Junbo, Zhu, Haoyi, Lu, Cewu

    “…A key challenge for robotic manipulation in open domains is how to acquire diverse and generalizable skills for robots. Recent progress in one-shot imitation…”
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    Conference Proceeding
  13. 13

    Distributed generation cluster partition method considering the flexible inertia supporting capability by Wang, Yinhua, Liu, Ziwen, Jiang, Jiamei, Zhu, Haoyi, Yang, Jinyuan, Li, Di

    “…As the scale of distributed generations (DGs) connected to the power network increases, the system inertia significantly decreases, and bring threat to the…”
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    Conference Proceeding
  14. 14

    UniPAD: A Universal Pre-Training Paradigm for Autonomous Driving by Yang, Honghui, Zhang, Sha, Huang, Di, Wu, Xiaoyang, Zhu, Haoyi, He, Tong, Tang, Shixiang, Zhao, Hengshuang, Qiu, Qibo, Lin, Binbin, He, Xiaofei, Ouyang, Wanli

    “…In the context of autonomous driving, the significance of effective feature learning is widely acknowledged. While conventional 3D self-supervised pretraining…”
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    Conference Proceeding
  15. 15

    RH20T: A Comprehensive Robotic Dataset for Learning Diverse Skills in One-Shot by Fang, Hao-Shu, Fang, Hongjie, Tang, Zhenyu, Liu, Jirong, Wang, Chenxi, Wang, Junbo, Zhu, Haoyi, Lu, Cewu

    Published 02-07-2023
    “…A key challenge in robotic manipulation in open domains is how to acquire diverse and generalizable skills for robots. Recent research in one-shot imitation…”
    Get full text
    Journal Article
  16. 16

    UniPAD: A Universal Pre-training Paradigm for Autonomous Driving by Yang, Honghui, Zhang, Sha, Huang, Di, Wu, Xiaoyang, Zhu, Haoyi, He, Tong, Tang, Shixiang, Zhao, Hengshuang, Qiu, Qibo, Lin, Binbin, He, Xiaofei, Ouyang, Wanli

    Published 12-10-2023
    “…In the context of autonomous driving, the significance of effective feature learning is widely acknowledged. While conventional 3D self-supervised pre-training…”
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    Journal Article
  17. 17

    PonderV2: Pave the Way for 3D Foundation Model with A Universal Pre-training Paradigm by Zhu, Haoyi, Yang, Honghui, Wu, Xiaoyang, Huang, Di, Zhang, Sha, He, Xianglong, Zhao, Hengshuang, Shen, Chunhua, Qiao, Yu, He, Tong, Ouyang, Wanli

    Published 12-10-2023
    “…In contrast to numerous NLP and 2D vision foundational models, learning a 3D foundational model poses considerably greater challenges. This is primarily due to…”
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    Journal Article
  18. 18

    AlphaPose: Whole-Body Regional Multi-Person Pose Estimation and Tracking in Real-Time by Fang, Hao-Shu, Li, Jiefeng, Tang, Hongyang, Xu, Chao, Zhu, Haoyi, Xiu, Yuliang, Li, Yong-Lu, Lu, Cewu

    Published 07-11-2022
    “…Accurate whole-body multi-person pose estimation and tracking is an important yet challenging topic in computer vision. To capture the subtle actions of humans…”
    Get full text
    Journal Article
  19. 19

    MineDojo: Building Open-Ended Embodied Agents with Internet-Scale Knowledge by Fan, Linxi, Wang, Guanzhi, Jiang, Yunfan, Mandlekar, Ajay, Yang, Yuncong, Zhu, Haoyi, Tang, Andrew, Huang, De-An, Zhu, Yuke, Anandkumar, Anima

    Published 17-06-2022
    “…Autonomous agents have made great strides in specialist domains like Atari games and Go. However, they typically learn tabula rasa in isolated environments…”
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    Journal Article
  20. 20

    The research on fault restoration and refactoring for Active Distribution Network by Zhu, Haoyi, Yu, Yong, Qi, Weifu, Liu, Shusen, Weng, Yueying, Yuan, Ting, Li, Hongpeng

    Published in 2019 Chinese Automation Congress (CAC) (01-11-2019)
    “…Active Distribution Network (ADN) recovery reconstruction is a complex combinatorial optimization problem, which is multi-objective, multi-period, nonlinear,…”
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    Conference Proceeding