168 citations · 1.8k across the 114 of their papers we have counts for
23 papers · 1 filter
Generative Memorize-Then-Recall framework for low bit-rate Surveillance Video Compression
Yaojun Wu, Tianyu He, Zhibo Chen
Applications of surveillance video have developed rapidly in recent years to protect public safety and daily life, which often detect and recognize objects in video sequences. Trad…
Region Normalization for Image Inpainting
Tao Yu, Zongyu Guo, Xin Jin +5
Feature Normalization (FN) is an important technique to help neural network training, which typically normalizes features across spatial dimensions. Most previous image inpainting…
Recent Advances on HEVC Inter-frame Coding: From Optimization to Implementation and Beyond
Yongfei Zhang, Chao Zhang, Rui Fan +3
High Efficiency Video Coding (HEVC) has doubled the video compression ratio with equivalent subjective quality as compared to its predecessor H.264/AVC. The significant coding effi…
Reinforced Bit Allocation under Task-Driven Semantic Distortion Metrics
Jun Shi, Zhibo Chen
Rapid growing intelligent applications require optimized bit allocation in image/video coding to support specific task-driven scenarios such as detection, classification, segmentat…
Quality Assessment of Stereoscopic 360-degree Images from Multi-viewports
Jiahua Xu, Ziyuan Luo, Wei Zhou +2
Objective quality assessment of stereoscopic panoramic images becomes a challenging problem owing to the rapid growth of 360-degree contents. Different from traditional 2D image qu…
Tensor Oriented No-Reference Light Field Image Quality Assessment
Wei Zhou, Likun Shi, Zhibo Chen +1
Light field image (LFI) quality assessment is becoming more and more important, which helps to better guide the acquisition, processing and application of immersive media. However,…
Binocular Rivalry Oriented Predictive Auto-Encoding Network for Blind Stereoscopic Image Quality Measurement
Jiahua Xu, Wei Zhou, Zhibo Chen +2
Stereoscopic image quality measurement (SIQM) has become increasingly important for guiding stereo image processing and commutation systems due to the widespread usage of 3D conten…
No-Reference Light Field Image Quality Assessment Based on Micro-Lens Image
Ziyuan Luo, Wei Zhou, Likun Shi +1
Light field image quality assessment (LF-IQA) plays a significant role due to its guidance to Light Field (LF) contents acquisition, processing and application. The LF can be repre…
No-Reference Light Field Image Quality Assessment Based on Spatial-Angular Measurement
Likun Shi, Wei Zhou, Zhibo Chen +1
Light field image quality assessment (LFI-QA) is a significant and challenging research problem. It helps to better guide light field acquisition, processing and applications. Howe…
A Coarse-to-Fine Framework for Learned Color Enhancement with Non-Local Attention
Chaowei Shan, Zhizheng Zhang, Zhibo Chen
Automatic color enhancement is aimed to adaptively adjust photos to expected styles and tones. For current learned methods in this field, global harmonious perception and local det…
Progressive Image Inpainting with Full-Resolution Residual Network
Zongyu Guo, Zhibo Chen, Tao Yu +2
Recently, learning-based algorithms for image inpainting achieve remarkable progress dealing with squared or irregular holes. However, they fail to generate plausible textures insi…
Learned Fast HEVC Intra Coding
Zhibo Chen, Jun Shi, Weiping Li
In High Efficiency Video Coding (HEVC), excellent rate-distortion (RD) performance is achieved in part by having a flexible quadtree coding unit (CU) partition and a large number o…
Stereoscopic Omnidirectional Image Quality Assessment Based on Predictive Coding Theory
Zhibo Chen, Jiahua Xu, Chaoyi Lin +1
Objective quality assessment of stereoscopic omnidirectional images is a challenging problem since it is influenced by multiple aspects such as projection deformation, field of vie…
ZstGAN: An Adversarial Approach for Unsupervised Zero-Shot Image-to-Image Translation
Jianxin Lin, Yingce Xia, Sen Liu +2
Image-to-image translation models have shown remarkable ability on transferring images among different domains. Most of existing work follows the setting that the source domain and…
Learning to Transfer: Unsupervised Meta Domain Translation
Jianxin Lin, Yijun Wang, Tianyu He +1
Unsupervised domain translation has recently achieved impressive performance with Generative Adversarial Network (GAN) and sufficient (unpaired) training data. However, existing do…
Image-to-Image Translation with Multi-Path Consistency Regularization
Jianxin Lin, Yingce Xia, Yijun Wang +2
Image translation across different domains has attracted much attention in both machine learning and computer vision communities. Taking the translation from source domain $\mathca…
Semantics-Aligned Representation Learning for Person Re-identification
Xin Jin, Cuiling Lan, Wenjun Zeng +2
Person re-identification (reID) aims to match person images to retrieve the ones with the same identity. This is a challenging task, as the images to be matched are generally seman…
CaseNet: Content-Adaptive Scale Interaction Networks for Scene Parsing
Xin Jin, Cuiling Lan, Wenjun Zeng +2
Objects at different spatial positions in an image exhibit different scales. Adaptive receptive fields are expected to capture suitable ranges of context for accurate pixel level s…
Towards Accurate One-Stage Object Detection with AP-Loss
Kean Chen, Jianguo Li, Weiyao Lin +6
One-stage object detectors are trained by optimizing classification-loss and localization-loss simultaneously, with the former suffering much from extreme foreground-background cla…
Relation-Aware Global Attention for Person Re-identification
Zhizheng Zhang, Cuiling Lan, Wenjun Zeng +2
For person re-identification (re-id), attention mechanisms have become attractive as they aim at strengthening discriminative features and suppressing irrelevant ones, which matche…
Asynchronous Episodic Deep Deterministic Policy Gradient: Towards Continuous Control in Computationally Complex Environments
Zhizheng Zhang, Jiale Chen, Zhibo Chen +1
Deep Deterministic Policy Gradient (DDPG) has been proved to be a successful reinforcement learning (RL) algorithm for continuous control tasks. However, DDPG still suffers from da…
Exploring Explicit Domain Supervision for Latent Space Disentanglement in Unpaired Image-to-Image Translation
Jianxin Lin, Zhibo Chen, Yingce Xia +3
Image-to-image translation tasks have been widely investigated with Generative Adversarial Networks (GANs). However, existing approaches are mostly designed in an unsupervised mann…
View Invariant 3D Human Pose Estimation
Guoqiang Wei, Cuiling Lan, Wenjun Zeng +1
The recent success of deep networks has significantly advanced 3D human pose estimation from 2D images. The diversity of capturing viewpoints and the flexibility of the human poses…