activity
20172022
most citedDual Semantic Fusion Network for Video Object Detection

29 citations · 63 across the 5 of their papers we have counts for

collaborators

7 papers

eess.IV20221 cited

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…

cs.CV2021

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…

cs.CV202029 cited

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…

cs.CV201920 cited

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…

cs.CV2018

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…

cs.CL20177 cited

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…