547 citations · 1.2k across the 24 of their papers we have counts for
6 papers · 1 filter
Skeleton-Based Action Recognition with Multi-Stream Adaptive Graph Convolutional Networks
Lei Shi, Yifan Zhang, Jian Cheng +1
Graph convolutional networks (GCNs), which generalize CNNs to more generic non-Euclidean structures, have achieved remarkable performance for skeleton-based action recognition. How…
Action Recognition via Pose-Based Graph Convolutional Networks with Intermediate Dense Supervision
Lei Shi, Yifan Zhang, Jian Cheng +1
Pose-based action recognition has drawn considerable attention recently. Existing methods exploit the joint positions to extract the body-part features from the activation map of t…
Adaptive Context Network for Scene Parsing
Jun Fu, Jing Liu, Yuhang Wang +4
Recent works attempt to improve scene parsing performance by exploring different levels of contexts, and typically train a well-designed convolutional network to exploit useful con…
Vatex Video Captioning Challenge 2020: Multi-View Features and Hybrid Reward Strategies for Video Captioning
Xinxin Zhu, Longteng Guo, Peng Yao +3
This report describes our solution for the VATEX Captioning Challenge 2020, which requires generating descriptions for the videos in both English and Chinese languages. We identifi…
Aligning Linguistic Words and Visual Semantic Units for Image Captioning
Longteng Guo, Jing Liu, Jinhui Tang +3
Image captioning attempts to generate a sentence composed of several linguistic words, which are used to describe objects, attributes, and interactions in an image, denoted as visu…
Learning Feature Embeddings for Discriminant Model based Tracking
Linyu Zheng, Ming Tang, Yingying Chen +2
After observing that the features used in most online discriminatively trained trackers are not optimal, in this paper, we propose a novel and effective architecture to learn optim…