52 citations · 98 across the 5 of their papers we have counts for
6 papers
CREATE: A Benchmark for Chinese Short Video Retrieval and Title Generation
Ziqi Zhang, Yuxin Chen, Zongyang Ma +5
Previous works of video captioning aim to objectively describe the video's actual content, which lacks subjective and attractive expression, limiting its practical application scen…
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…
Object Relational Graph with Teacher-Recommended Learning for Video Captioning
Ziqi Zhang, Yaya Shi, Chunfeng Yuan +4
Taking full advantage of the information from both vision and language is critical for the video captioning task. Existing models lack adequate visual representation due to the neg…
VATEX Captioning Challenge 2019: Multi-modal Information Fusion and Multi-stage Training Strategy for Video Captioning
Ziqi Zhang, Yaya Shi, Jiutong Wei +3
Multi-modal information is essential to describe what has happened in a video. In this work, we represent videos by various appearance, motion and audio information guided with vid…
Multimodal Semantic Attention Network for Video Captioning
Liang Sun, Bing Li, Chunfeng Yuan +2
Inspired by the fact that different modalities in videos carry complementary information, we propose a Multimodal Semantic Attention Network(MSAN), which is a new encoder-decoder f…
Interaction-aware Spatio-temporal Pyramid Attention Networks for Action Classification
Yang Du, Chunfeng Yuan, Bing Li +3
Local features at neighboring spatial positions in feature maps have high correlation since their receptive fields are often overlapped. Self-attention usually uses the weighted su…