547 citations · 1.2k across the 24 of their papers we have counts for
4 papers · 1 filter
Decoupled Spatial-Temporal Attention Network for Skeleton-Based Action Recognition
Lei Shi, Yifan Zhang, Jian Cheng +1
Dynamic skeletal data, represented as the 2D/3D coordinates of human joints, has been widely studied for human action recognition due to its high-level semantic information and env…
Non-Autoregressive Image Captioning with Counterfactuals-Critical Multi-Agent Learning
Longteng Guo, Jing Liu, Xinxin Zhu +3
Most image captioning models are autoregressive, i.e. they generate each word by conditioning on previously generated words, which leads to heavy latency during inference. Recently…
What and Where: Modeling Skeletons from Semantic and Spatial Perspectives for Action Recognition
Lei Shi, Yifan Zhang, Jian Cheng +1
Skeleton data, which consists of only the 2D/3D coordinates of the human joints, has been widely studied for human action recognition. Existing methods take the semantics as prior…
Normalized and Geometry-Aware Self-Attention Network for Image Captioning
Longteng Guo, Jing Liu, Xinxin Zhu +3
Self-attention (SA) network has shown profound value in image captioning. In this paper, we improve SA from two aspects to promote the performance of image captioning. First, we pr…