Search Results - "Jian-Fang Hu"

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  1. 1

    Jointly Learning Heterogeneous Features for RGB-D Activity Recognition by Hu, Jian-Fang, Zheng, Wei-Shi, Lai, Jianhuang, Zhang, Jianguo

    “…In this paper, we focus on heterogeneous features learning for RGB-D activity recognition. We find that features from different channels (RGB, depth) could…”
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    Journal Article
  2. 2

    Early Action Prediction by Soft Regression by Hu, Jian-Fang, Zheng, Wei-Shi, Ma, Lianyang, Wang, Gang, Lai, Jianhuang, Zhang, Jianguo

    “…We propose a novel approach for predicting on-going action with the assistance of a low-cost depth camera. Our approach introduces a soft regression-based…”
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    Journal Article
  3. 3

    Jointly learning heterogeneous features for RGB-D activity recognition by Jian-Fang Hu, Wei-Shi Zheng, Jianhuang Lai, Jianguo Zhang

    “…In this paper, we focus on heterogeneous feature learning for RGB-D activity recognition. Considering that features from different channels could share some…”
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    Conference Proceeding
  4. 4

    APANet: Auto-Path Aggregation for Future Instance Segmentation Prediction by Hu, Jian-Fang, Sun, Jiangxin, Lin, Zihang, Lai, Jian-Huang, Zeng, Wenjun, Zheng, Wei-Shi

    “…Despite the remarkable progress achieved in conventional instance segmentation, the problem of predicting instance segmentation results for unobserved future…”
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    Journal Article
  5. 5

    Fast Collective Activity Recognition Under Weak Supervision by Zhang, Peizhen, Tang, Yongyi, Hu, Jian-Fang, Zheng, Wei-Shi

    Published in IEEE transactions on image processing (01-01-2020)
    “…Collective activity recognition, which tells what activity a group of people is performing, is a cutting-edge research topic in computer vision. Different from…”
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    Journal Article
  6. 6

    Exemplar-Based Recognition of Human-Object Interactions by Hu, Jian-Fang, Zheng, Wei-Shi, Lai, Jianhuang, Gong, Shaogang, Xiang, Tao

    “…Human action can be recognized from a single still image by modeling human-object interactions (HOIs), which infers the mutual spatial structure information…”
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    Journal Article
  7. 7

    Hierarchical Semantic Correspondence Networks for Video Paragraph Grounding by Tan, Chaolei, Lin, Zihang, Hu, Jian-Fang, Zheng, Wei-Shi, Lai, Jianhuang

    “…Video Paragraph Grounding (VPG) is an essential yet challenging task in vision-language understanding, which aims to jointly localize multiple events from an…”
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    Conference Proceeding
  8. 8

    Recognising Human-Object Interaction via Exemplar Based Modelling by Jian-Fang Hu, Wei-Shi Zheng, Jianhuang Lai, Shaogang Gong, Tao Xiang

    “…Human action can be recognised from a single still image by modelling Human-object interaction (HOI), which infers the mutual spatial structure information…”
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    Conference Proceeding
  9. 9
  10. 10

    Global-Local Temporal Saliency Action Prediction by Lai, Shaofan, Zheng, Wei-Shi, Hu, Jian-Fang, Zhang, Jianguo

    Published in IEEE transactions on image processing (01-05-2018)
    “…Action prediction on a partially observed action sequence is a very challenging task. To address this challenge, we first design a global-local distance model,…”
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    Journal Article
  11. 11

    Multi-task mid-level feature learning for micro-expression recognition by He, Jiachi, Hu, Jian-Fang, Lu, Xi, Zheng, Wei-Shi

    Published in Pattern recognition (01-06-2017)
    “…Due to the short duration and low intensity of micro-expressions, the recognition of micro-expression is still a challenging problem. In this paper, we develop…”
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    Journal Article
  12. 12

    Progressive Teacher-Student Learning for Early Action Prediction by Wang, Xionghui, Hu, Jian-Fang, Lai, Jian-Huang, Zhang, Jianguo, Zheng, Wei-Shi

    “…The goal of early action prediction is to recognize actions from partially observed videos with incomplete action executions, which is quite different from…”
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    Conference Proceeding
  13. 13

    Halogenated aromatic pollutants in routine animal-derived food of south China: Occurrence, sources, and dietary intake risks by Zhang, Li-Na, Peng, Ping-An, Li, Hui-Ru, Liu, Ming-Yang, Hu, Jian-Fang

    Published in Environmental pollution (1987) (01-06-2024)
    “…Halogenated aromatic pollutants (HAPs) including polychlorinated dibenzo-p-dioxins/furans (PCDD/Fs), polychlorinated biphenyls (PCBs), polybrominated…”
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    Journal Article
  14. 14

    Sparse transfer for facial shape-from-shading by Hu, Jian-Fang, Zheng, Wei-Shi, Xie, Xiaohua, Lai, Jianhuang

    Published in Pattern recognition (01-08-2017)
    “…•A sparse transfer model was proposed to fuse a set of source face shapes in a selective way in order to assist the shape reconstruction of target face.•A…”
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    Journal Article
  15. 15

    One-pass online learning: A local approach by Zhou, Zhaoze, Zheng, Wei-Shi, Hu, Jian-Fang, Xu, Yong, You, Jane

    Published in Pattern recognition (01-03-2016)
    “…Online learning is very important for processing sequential data and helps alleviate the computation burden on large scale data as well. Especially, one-pass…”
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    Journal Article
  16. 16

    Brominated dioxins/furans and hydroxylated polybrominated diphenyl ethers: Occurrences in commercial 1,2-bis(2,4,6-tribromophenoxy)ethane (BTBPE) and 2,4,6-tribromophenol, and formation during synthesis of BTBPE by Ren, Man, Zeng, Hao, Peng, Ping-An, Li, Hui-Ru, Tang, Cai-Ming, Hu, Jian-Fang

    Published in Environmental pollution (1987) (01-07-2017)
    “…Polybrominated dibenzo-p-dioxins (PBDDs) and hydroxylated polybrominated diphenyl ethers (OH-PBDEs) can be formed from bromophenols (BPs) by thermal…”
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    Journal Article
  17. 17

    Collaborative Static and Dynamic Vision-Language Streams for Spatio-Temporal Video Grounding by Lin, Zihang, Tan, Chaolei, Hu, Jian-Fang, Jin, Zhi, Ye, Tiancai, Zheng, Wei-Shi

    “…Spatio-Temporal Video Grounding (STVG) aims to localize the target object spatially and temporally according to the given language query. It is a challenging…”
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    Conference Proceeding
  18. 18

    Predictive Feature Learning for Future Segmentation Prediction by Lin, Zihang, Sun, Jiangxin, Hu, Jian-Fang, Yu, Qizhi, Lai, Jian-Huang, Zheng, Wei-Shi

    “…Future segmentation prediction aims to predict the segmentation masks for unobserved future frames. Most existing works addressed it by directly predicting the…”
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    Conference Proceeding
  19. 19

    HPV E6/p53 mediated down-regulation of miR-34a inhibits Warburg effect through targeting LDHA in cervical cancer by Zhang, Rong, Su, Jing, Xue, Song-Lin, Yang, Hui, Ju, Li-Li, Ji, Ying, Wu, Kai-Hua, Zhang, Yan-Wei, Zhang, Ye-Xin, Hu, Jian-Fang, Yu, Min-Min

    Published in American journal of cancer research (01-01-2016)
    “…MicroRNAs (miRNA) play crucial roles in regulating cell proliferation, differentiation and developmental timing. Aberrantly expressed miRNAs have recently…”
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    Journal Article
  20. 20

    GL-PAM RGB-D Gesture Recognition by Li, Benchao, Li, Wanhua, Tang, Yongyi, Hu, Jian-Fang, Zheng, Wei-Shi

    “…The existing approaches for RGB-D gesture recognition mainly developed their systems based on the global features extracted from full sequences, which makes…”
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    Conference Proceeding