52 citations · 322 across the 24 of their papers we have counts for
11 papers · 1 filter
Recursive Least-Squares Estimator-Aided Online Learning for Visual Tracking
Jin Gao, Yan Lu, Xiaojuan Qi +5
Tracking visual objects from a single initial exemplar in the testing phase has been broadly cast as a one-/few-shot problem, i.e., one-shot learning for initial adaptation and few…
Joint Learning of Visual-Audio Saliency Prediction and Sound Source Localization on Multi-face Videos
Minglang Qiao, Yufan Liu, Mai Xu +4
Visual and audio events simultaneously occur and both attract attention. However, most existing saliency prediction works ignore the influence of audio and only consider vision mod…
EMScore: Evaluating Video Captioning via Coarse-Grained and Fine-Grained Embedding Matching
Yaya Shi, Xu Yang, Haiyang Xu +4
Current metrics for video captioning are mostly based on the text-level comparison between reference and candidate captions. However, they have some insuperable drawbacks, e.g., th…
SDTP: Semantic-aware Decoupled Transformer Pyramid for Dense Image Prediction
Zekun Li, Yufan Liu, Bing Li +3
Although transformer has achieved great progress on computer vision tasks, the scale variation in dense image prediction is still the key challenge. Few effective multi-scale techn…
Channel-wise Topology Refinement Graph Convolution for Skeleton-Based Action Recognition
Yuxin Chen, Ziqi Zhang, Chunfeng Yuan +3
Graph convolutional networks (GCNs) have been widely used and achieved remarkable results in skeleton-based action recognition. In GCNs, graph topology dominates feature aggregatio…
Learn to Match: Automatic Matching Network Design for Visual Tracking
Zhipeng Zhang, Yihao Liu, Xiao Wang +2
Siamese tracking has achieved groundbreaking performance in recent years, where the essence is the efficient matching operator cross-correlation and its variants. Besides the remar…