462 citations · 719 across the 22 of their papers we have counts for
16 papers · 1 filter
Optimization-Inspired Cross-Attention Transformer for Compressive Sensing
Jiechong Song, Chong Mou, Shiqi Wang +2
By integrating certain optimization solvers with deep neural networks, deep unfolding network (DUN) with good interpretability and high performance has attracted growing attention…
Distortion-Aware Loop Filtering of Intra 360^o Video Coding with Equirectangular Projection
Pingping Zhang, Xu Wang, Linwei Zhu +3
In this paper, we propose a distortion-aware loop filtering model to improve the performance of intra coding for 360 videos projected via equirectangular projection (ERP) forma…
Generalized Visual Quality Assessment of GAN-Generated Face Images
Yu Tian, Zhangkai Ni, Baoliang Chen +3
Recent years have witnessed the dramatically increased interest in face generation with generative adversarial networks (GANs). A number of successful GAN algorithms have been deve…
Towards Analysis-friendly Face Representation with Scalable Feature and Texture Compression
Shurun Wang, Shiqi Wang, Wenhan Yang +4
It plays a fundamental role to compactly represent the visual information towards the optimization of the ultimate utility in myriad visual data centered applications. With numerou…
End-to-End Facial Deep Learning Feature Compression with Teacher-Student Enhancement
Shurun Wang, Wenhan Yang, Shiqi Wang
In this paper, we propose a novel end-to-end feature compression scheme by leveraging the representation and learning capability of deep neural networks, towards intelligent front-…
Towards Digital Retina in Smart Cities: A Model Generation, Utilization and Communication Paradigm
Yihang Lou, Ling-Yu Duan, Yong Luo +4
The digital retina in smart cities is to select what the City Eye tells the City Brain, and convert the acquired visual data from front-end visual sensors to features in an intelli…
Masked Non-Autoregressive Image Captioning
Junlong Gao, Xi Meng, Shiqi Wang +4
Existing captioning models often adopt the encoder-decoder architecture, where the decoder uses autoregressive decoding to generate captions, such that each token is generated sequ…
Self-critical n-step Training for Image Captioning
Junlong Gao, Shiqi Wang, Shanshe Wang +2
Existing methods for image captioning are usually trained by cross entropy loss, which leads to exposure bias and the inconsistency between the optimizing function and evaluation m…
Image and Video Compression with Neural Networks: A Review
Siwei Ma, Xinfeng Zhang, Chuanmin Jia +3
In recent years, the image and video coding technologies have advanced by leaps and bounds. However, due to the popularization of image and video acquisition devices, the growth ra…
Scalable Facial Image Compression with Deep Feature Reconstruction
Shurun Wang, Shiqi Wang, Xinfeng Zhang +3
In this paper, we propose a scalable image compression scheme, including the base layer for feature representation and enhancement layer for texture representation. More specifical…
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…
Image Quality Assessment Guided Deep Neural Networks Training
Zhuo Chen, Weisi Lin, Shiqi Wang +2
For many computer vision problems, the deep neural networks are trained and validated based on the assumption that the input images are pristine (i.e., artifact-free). However, dig…
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…
Globally Variance-Constrained Sparse Representation and Its Application in Image Set Coding
Xiang Zhang, Jiarui Sun, Siwei Ma +4
Sparse representation leads to an efficient way to approximately recover a signal by the linear composition of a few bases from a learnt dictionary, based on which various successf…