activity
20172022
most citedRegion-aware Adaptive Instance Normalization for Image Harmonization

11 citations · 23 across the 5 of their papers we have counts for

collaborators

7 papers

cs.CV2022

A Codec Information Assisted Framework for Efficient Compressed Video Super-Resolution

Hengsheng Zhang, Xueyi Zou, Jiaming Guo +3

Online processing of compressed videos to increase their resolutions attracts increasing and broad attention. Video Super-Resolution (VSR) using recurrent neural network architectu…

cs.CV20228 cited

PTSEFormer: Progressive Temporal-Spatial Enhanced TransFormer Towards Video Object Detection

Han Wang, Jun Tang, Xiaodong Liu +3

Recent years have witnessed a trend of applying context frames to boost the performance of object detection as video object detection. Existing methods usually aggregate features a…

cs.CV202111 cited

Region-aware Adaptive Instance Normalization for Image Harmonization

Jun Ling, Han Xue, Li Song +2

Image composition plays a common but important role in photo editing. To acquire photo-realistic composite images, one must adjust the appearance and visual style of the foreground…

cs.CV20214 cited

IdentityDP: Differential Private Identification Protection for Face Images

Yunqian Wen, Li Song, Bo Liu +2

Because of the explosive growth of face photos as well as their widespread dissemination and easy accessibility in social media, the security and privacy of personal identity infor…

cs.CV2020

Toward Fine-grained Facial Expression Manipulation

Jun Ling, Han Xue, Li Song +3

Facial expression manipulation aims at editing facial expression with a given condition. Previous methods edit an input image under the guidance of a discrete emotion label or abso…

eess.IV2018

Learning an Inverse Tone Mapping Network with a Generative Adversarial Regularizer

Shiyu Ning, Hongteng Xu, Li Song +2

Transferring a low-dynamic-range (LDR) image to a high-dynamic-range (HDR) image, which is the so-called inverse tone mapping (iTM), is an important imaging technique to improve vi…