Search Results for author:
Found 6 papers, 2 papers with code
Residual Graph Convolutional Network for Bird's-Eye-View Semantic Segmentation
In this paper, we propose to incorporate a novel Residual Graph Convolutional (RGC) module in deep CNNs to acquire both the global information and the region-level semantic relationship in the multi-view image domain.
Enhancing the Performance of Automated Grade Prediction in MOOC using Graph Representation Learning
However, current automated assessment approaches overlook the structural links between different entities involved in the downstream tasks, such as the students and courses.
Facial Expression Recognition in the Wild via Deep Attentive Center Loss
Learning discriminative features for Facial Expression Recognition (FER) in the wild using Convolutional Neural Networks (CNNs) is a non-trivial task due to the significant intra-class variations and inter-class similarities.
Ranked #15 on
Facial Expression Recognition (FER)
on RAF-DB
(using extra training data)
Facial Expression Recognition
Facial Expression Recognition (FER)
+2
Robust Structured Group Local Sparse Tracker Using Deep Features
Sparse representation has recently been successfully applied in visual tracking.
Structured Group Local Sparse Tracker
Sparse representation is considered as a viable solution to visual tracking.
Robust Structured Multi-task Multi-view Sparse Tracking
Specifically, we extract features of the target candidates from different views and sparsely represent them by a linear combination of templates of different views.
