World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
47
Citations
9058
World Ranking
6483
National Ranking
863

Best Publications

  • Co-occurrence Feature Learning from Skeleton Data for Action Recognition and Detection with Hierarchical Aggregation

    Unknown

  • Counterfactual Samples Synthesizing for Robust Visual Question Answering

    Long Chen;Xin Yan;Jun Xiao;Hanwang Zhang

  • Skeleton-based action recognition with convolutional neural networks

    Unknown

  • Dynamic GCN: Context-enriched Topology Learning for Skeleton-based Action Recognition

    Unknown

  • Focusing Attention: Towards Accurate Text Recognition in Natural Images

    Zhanzhan Cheng;Fan Bai;Yunlu Xu;Gang Zheng

  • AON: Towards Arbitrarily-Oriented Text Recognition

    Zhanzhan Cheng;Yangliu Xu;Fan Bai;Yi Niu

  • RPVNet: A Deep and Efficient Range-Point-Voxel Fusion Network for LiDAR Point Cloud Segmentation

    Unknown

  • Advancing Image Understanding in Poor Visibility Environments: A Collective Benchmark Study

    Wenhan Yang;Ye Yuan;Wenqi Ren;Jiaying Liu

  • Forward Compatible Few-Shot Class-Incremental Learning

    Unknown

  • Small-Scale Pedestrian Detection Based on Topological Line Localization and Temporal Feature Aggregation

    Unknown

  • Learning Open Set Network with Discriminative Reciprocal Points

    Guangyao Chen;Limeng Qiao;Yemin Shi;Peixi Peng

  • Edit Probability for Scene Text Recognition

    Fan Bai;Zhanzhan Cheng;Yi Niu;Shiliang Pu

  • Content-Aware Convolutional Neural Network for In-Loop Filtering in High Efficiency Video Coding

    Chuanmin Jia;Shiqi Wang;Xinfeng Zhang;Shanshe Wang

  • Divide-and-Assemble: Learning Block-wise Memory for Unsupervised Anomaly Detection

    Unknown

  • Counterfactual Critic Multi-Agent Training for Scene Graph Generation

    Long Chen;Hanwang Zhang;Jun Xiao;Xiangnan He

  • Spatio-Temporal Deformable Convolution for Compressed Video Quality Enhancement

    Unknown

  • A Free Lunch for Unsupervised Domain Adaptive Object Detection without Source Data.

    Xianfeng Li;Weijie Chen;Di Xie;Shicai Yang

  • All You Need is Beyond a Good Init: Exploring Better Solution for Training Extremely Deep Convolutional Neural Networks with Orthonormality and Modulation

    Unknown

  • Few-Shot Class-Incremental Learning by Sampling Multi-Phase Tasks

    Unknown

  • Segregated Temporal Assembly Recurrent Networks for Weakly Supervised Multiple Action Detection

    Unknown

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