264 citations · 351 across the 11 of their papers we have counts for
11 papers
Goal-Oriented Gaze Estimation for Zero-Shot Learning
Yang Liu, Lei Zhou, Xiao Bai +4
Zero-shot learning (ZSL) aims to recognize novel classes by transferring semantic knowledge from seen classes to unseen classes. Since semantic knowledge is built on attributes sha…
Multi-layer Feature Aggregation for Deep Scene Parsing Models
Litao Yu, Yongsheng Gao, Jun Zhou +2
Scene parsing from images is a fundamental yet challenging problem in visual content understanding. In this dense prediction task, the parsing model assigns every pixel to a catego…
Parameter Efficient Deep Neural Networks with Bilinear Projections
Litao Yu, Yongsheng Gao, Jun Zhou +1
Recent research on deep neural networks (DNNs) has primarily focused on improving the model accuracy. Given a proper deep learning framework, it is generally possible to increase t…
Beyond Triplet Loss: Person Re-identification with Fine-grained Difference-aware Pairwise Loss
Cheng Yan, Guansong Pang, Xiao Bai +2
Person Re-IDentification (ReID) aims at re-identifying persons from different viewpoints across multiple cameras. Capturing the fine-grained appearance differences is often the key…
Information Bottleneck Constrained Latent Bidirectional Embedding for Zero-Shot Learning
Yang Liu, Lei Zhou, Xiao Bai +3
Zero-shot learning (ZSL) aims to recognize novel classes by transferring semantic knowledge from seen classes to unseen classes. Though many ZSL methods rely on a direct mapping be…
A Survey of Convolutional Neural Networks: Analysis, Applications, and Prospects
Zewen Li, Wenjie Yang, Shouheng Peng +1
Convolutional Neural Network (CNN) is one of the most significant networks in the deep learning field. Since CNN made impressive achievements in many areas, including but not limit…