29 citations · 92 across the 8 of their papers we have counts for
9 papers
VFHQ: A High-Quality Dataset and Benchmark for Video Face Super-Resolution
Liangbin Xie. Xintao Wang, Honglun Zhang, Chao Dong +1
Most of the existing video face super-resolution (VFSR) methods are trained and evaluated on VoxCeleb1, which is designed specifically for speaker identification and the frames in…
Towards Vivid and Diverse Image Colorization with Generative Color Prior
Yanze Wu, Xintao Wang, Yu Li +3
Colorization has attracted increasing interest in recent years. Classic reference-based methods usually rely on external color images for plausible results. A large image database…
Towards Real-World Blind Face Restoration with Generative Facial Prior
Xintao Wang, Yu Li, Honglun Zhang +1
Blind face restoration usually relies on facial priors, such as facial geometry prior or reference prior, to restore realistic and faithful details. However, very low-quality input…
Dual Semantic Fusion Network for Video Object Detection
Lijian Lin, Haosheng Chen, Honglun Zhang +4
Video object detection is a tough task due to the deteriorated quality of video sequences captured under complex environments. Currently, this area is dominated by a series of feat…
Disentangled Makeup Transfer with Generative Adversarial Network
Honglun Zhang, Wenqing Chen, Hao He +1
Facial makeup transfer is a widely-used technology that aims to transfer the makeup style from a reference face image to a non-makeup face. Existing literature leverage the adversa…
Show, Attend and Translate: Unpaired Multi-Domain Image-to-Image Translation with Visual Attention
Honglun Zhang, Wenqing Chen, Jidong Tian +2
Recently unpaired multi-domain image-to-image translation has attracted great interests and obtained remarkable progress, where a label vector is utilized to indicate multi-domain…
Multi-Task Label Embedding for Text Classification
Honglun Zhang, Liqiang Xiao, Wenqing Chen +2
Multi-task learning in text classification leverages implicit correlations among related tasks to extract common features and yield performance gains. However, most previous works…
A Generalized Recurrent Neural Architecture for Text Classification with Multi-Task Learning
Honglun Zhang, Liqiang Xiao, Yongkun Wang +1
Multi-task learning leverages potential correlations among related tasks to extract common features and yield performance gains. However, most previous works only consider simple o…
OMNIRank: Risk Quantification for P2P Platforms with Deep Learning
Honglun Zhang, Haiyang Wang, Xiaming Chen +2
P2P lending presents as an innovative and flexible alternative for conventional lending institutions like banks, where lenders and borrowers directly make transactions and benefit…