136 citations · 403 across the 24 of their papers we have counts for
5 papers · 1 filter
A Multi-task Neural Approach for Emotion Attribution, Classification and Summarization
Guoyun Tu, Yanwei Fu, Boyang Li +3
Emotional content is a crucial ingredient in user-generated videos. However, the sparsity of emotional expressions in the videos poses an obstacle to visual emotion analysis. In th…
Instance-level Sketch-based Retrieval by Deep Triplet Classification Siamese Network
Peng Lu, Hangyu Lin, Yanwei Fu +3
Sketch has been employed as an effective communicative tool to express the abstract and intuitive meanings of object. Recognizing the free-hand sketch drawing is extremely useful i…
Object Detection from Scratch with Deep Supervision
Zhiqiang Shen, Zhuang Liu, Jianguo Li +3
We propose Deeply Supervised Object Detectors (DSOD), an object detection framework that can be trained from scratch. Recent advances in object detection heavily depend on the off-…
Pixel2Mesh: Generating 3D Mesh Models from Single RGB Images
Nanyang Wang, Yinda Zhang, Zhuwen Li +3
We propose an end-to-end deep learning architecture that produces a 3D shape in triangular mesh from a single color image. Limited by the nature of deep neural network, previous me…
Learning to score the figure skating sports videos
Chengming Xu, Yanwei Fu, Bing Zhang +3
This paper targets at learning to score the figure skating sports videos. To address this task, we propose a deep architecture that includes two complementary components, i.e., Sel…