765 citations · 982 across the 25 of their papers we have counts for
8 papers · 1 filter
A Unified Model for Video Understanding and Knowledge Embedding with Heterogeneous Knowledge Graph Dataset
Jiaxin Deng, Dong Shen, Haojie Pan +7
Video understanding is an important task in short video business platforms and it has a wide application in video recommendation and classification. Most of the existing video unde…
RaP: Redundancy-aware Video-language Pre-training for Text-Video Retrieval
Xing Wu, Chaochen Gao, Zijia Lin +3
Video language pre-training methods have mainly adopted sparse sampling techniques to alleviate the temporal redundancy of videos. Though effective, sparse sampling still suffers i…
TokenFlow: Rethinking Fine-grained Cross-modal Alignment in Vision-Language Retrieval
Xiaohan Zou, Changqiao Wu, Lele Cheng +1
Most existing methods in vision-language retrieval match two modalities by either comparing their global feature vectors which misses sufficient information and lacks interpretabil…
Contrastive Learning of Semantic and Visual Representations for Text Tracking
Zhuang Li, Weijia Wu, Mike Zheng Shou +4
Semantic representation is of great benefit to the video text tracking(VTT) task that requires simultaneously classifying, detecting, and tracking texts in the video. Most existing…
whu-nercms at trecvid2021:instance search task
Yanrui Niu, Jingyao Yang, Ankang Lu +8
We will make a brief introduction of the experimental methods and results of the WHU-NERCMS in the TRECVID2021 in the paper. This year we participate in the automatic and interacti…
MlTr: Multi-label Classification with Transformer
Xing Cheng, Hezheng Lin, Xiangyu Wu +5
The task of multi-label image classification is to recognize all the object labels presented in an image. Though advancing for years, small objects, similar objects and objects wit…
CAT: Cross Attention in Vision Transformer
Hezheng Lin, Xing Cheng, Xiangyu Wu +5
Since Transformer has found widespread use in NLP, the potential of Transformer in CV has been realized and has inspired many new approaches. However, the computation required for…
HiT: Hierarchical Transformer with Momentum Contrast for Video-Text Retrieval
Song Liu, Haoqi Fan, Shengsheng Qian +3
Video-Text Retrieval has been a hot research topic with the growth of multimedia data on the internet. Transformer for video-text learning has attracted increasing attention due to…