462 citations · 1.9k across the 105 of their papers we have counts for
18 papers · 1 filter
Sub-sampled Cross-component Prediction for Emerging Video Coding Standards
Junru Li, Meng Wang, Li Zhang +5
Cross-component linear model (CCLM) prediction has been repeatedly proven to be effective in reducing the inter-channel redundancies in video compression. Essentially speaking, the…
Intrinsic Temporal Regularization for High-resolution Human Video Synthesis
Lingbo Yang, Zhanning Gao, Peiran Ren +2
Temporal consistency is crucial for extending image processing pipelines to the video domain, which is often enforced with flow-based warping error over adjacent frames. Yet for hu…
Pre-Trained Image Processing Transformer
Hanting Chen, Yunhe Wang, Tianyu Guo +7
As the computing power of modern hardware is increasing strongly, pre-trained deep learning models (e.g., BERT, GPT-3) learned on large-scale datasets have shown their effectivenes…
Conceptual Compression via Deep Structure and Texture Synthesis
Jianhui Chang, Zhenghui Zhao, Chuanmin Jia +5
Existing compression methods typically focus on the removal of signal-level redundancies, while the potential and versatility of decomposing visual data into compact conceptual com…
Continuous and Diverse Image-to-Image Translation via Signed Attribute Vectors
Qi Mao, Hung-Yu Tseng, Hsin-Ying Lee +3
Recent image-to-image (I2I) translation algorithms focus on learning the mapping from a source to a target domain. However, the continuous translation problem that synthesizes inte…
Implicit Subspace Prior Learning for Dual-Blind Face Restoration
Lingbo Yang, Pan Wang, Zhanning Gao +4
Face restoration is an inherently ill-posed problem, where additional prior constraints are typically considered crucial for mitigating such pathology. However, real-world image pr…
Low Complexity Trellis-Coded Quantization in Versatile Video Coding
Meng Wang, Shiqi Wang, Junru Li +4
The forthcoming Versatile Video Coding (VVC) standard adopts the trellis-coded quantization, which leverages the delicate trellis graph to map the quantization candidates within on…
A Similarity Inference Metric for RGB-Infrared Cross-Modality Person Re-identification
Mengxi Jia, Yunpeng Zhai, Shijian Lu +2
RGB-Infrared (IR) cross-modality person re-identification (re-ID), which aims to search an IR image in RGB gallery or vice versa, is a challenging task due to the large discrepancy…
Sequential Hierarchical Learning with Distribution Transformation for Image Super-Resolution
Yuqing Liu, Xinfeng Zhang, Shanshe Wang +2
Multi-scale design has been considered in recent image super-resolution (SR) works to explore the hierarchical feature information. Existing multi-scale networks aim to build elabo…
Region-adaptive Texture Enhancement for Detailed Person Image Synthesis
Lingbo Yang, Pan Wang, Xinfeng Zhang +6
The ability to produce convincing textural details is essential for the fidelity of synthesized person images. However, existing methods typically follow a ``warping-based'' strate…
User-generated Video Quality Assessment: A Subjective and Objective Study
Yang Li, Shengbin Meng, Xinfeng Zhang +3
Recently, we have observed an exponential increase of user-generated content (UGC) videos. The distinguished characteristic of UGC videos originates from the video production and d…
Towards Fine-grained Human Pose Transfer with Detail Replenishing Network
Lingbo Yang, Pan Wang, Chang Liu +7
Human pose transfer (HPT) is an emerging research topic with huge potential in fashion design, media production, online advertising and virtual reality. For these applications, the…
Iterative Network for Image Super-Resolution
Yuqing Liu, Shiqi Wang, Jian Zhang +3
Single image super-resolution (SISR), as a traditional ill-conditioned inverse problem, has been greatly revitalized by the recent development of convolutional neural networks (CNN…
HiFaceGAN: Face Renovation via Collaborative Suppression and Replenishment
Lingbo Yang, Chang Liu, Pan Wang +4
Existing face restoration researches typically relies on either the degradation prior or explicit guidance labels for training, which often results in limited generalization abilit…
Direct Speech-to-image Translation
Jiguo Li, Xinfeng Zhang, Chuanmin Jia +5
Direct speech-to-image translation without text is an interesting and useful topic due to the potential applications in human-computer interaction, art creation, computer-aided des…
Learning to fool the speaker recognition
Jiguo Li, Xinfeng Zhang, Jizheng Xu +4
Due to the widespread deployment of fingerprint/face/speaker recognition systems, attacking deep learning based biometric systems has drawn more and more attention. Previous resear…
Universal Adversarial Perturbations Generative Network for Speaker Recognition
Jiguo Li, Xinfeng Zhang, Chuanmin Jia +5
Attacking deep learning based biometric systems has drawn more and more attention with the wide deployment of fingerprint/face/speaker recognition systems, given the fact that the…
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…