1.8k citations · 3k across the 32 of their papers we have counts for
7 papers · 2 filters
AI Oriented Large-Scale Video Management for Smart City: Technologies, Standards and Beyond
Lingyu Duan, Yihang Lou, Shiqi Wang +2
Deep learning has achieved substantial success in a series of tasks in computer vision. Intelligent video analysis, which can be broadly applied to video surveillance in various sm…
Skeleton-Based Human Action Recognition with Global Context-Aware Attention LSTM Networks
Jun Liu, Gang Wang, Ling-Yu Duan +2
Human action recognition in 3D skeleton sequences has attracted a lot of research attention. Recently, Long Short-Term Memory (LSTM) networks have shown promising performance in th…
Depth Structure Preserving Scene Image Generation
Wendong Zhang, Bingbing Ni, Yichao Yan +2
Key to automatically generate natural scene images is to properly arrange among various spatial elements, especially in the depth direction. To this end, we introduce a novel depth…
Compact Descriptors for Video Analysis: the Emerging MPEG Standard
Ling-Yu Duan, Vijay Chandrasekhar, Shiqi Wang +6
This paper provides an overview of the on-going compact descriptors for video analysis standard (CDVA) from the ISO/IEC moving pictures experts group (MPEG). MPEG-CDVA targets at d…
Improving Object Detection with Region Similarity Learning
Feng Gao, Yihang Lou, Yan Bai +3
Object detection aims to identify instances of semantic objects of a certain class in images or videos. The success of state-of-the-art approaches is attributed to the significant…
Incorporating Intra-Class Variance to Fine-Grained Visual Recognition
Yan Bai, Feng Gao, Yihang Lou +3
Fine-grained visual recognition aims to capture discriminative characteristics amongst visually similar categories. The state-of-the-art research work has significantly improved th…
Compression of Deep Neural Networks for Image Instance Retrieval
Vijay Chandrasekhar, Jie Lin, Qianli Liao +4
Image instance retrieval is the problem of retrieving images from a database which contain the same object. Convolutional Neural Network (CNN) based descriptors are becoming the do…