495 citations · 2.9k across the 57 of their papers we have counts for
7 papers · 1 filter
Attribute-specific Control Units in StyleGAN for Fine-grained Image Manipulation
Rui Wang, Jian Chen, Gang Yu +4
Image manipulation with StyleGAN has been an increasing concern in recent years.Recent works have achieved tremendous success in analyzing several semantic latent spaces to edit th…
Fine-grained Identity Preserving Landmark Synthesis for Face Reenactment
Haichao Zhang, Youcheng Ben, Weixi Zhang +3
Recent face reenactment works are limited by the coarse reference landmarks, leading to unsatisfactory identity preserving performance due to the distribution gap between the manip…
Sketch Me A Video
Haichao Zhang, Gang Yu, Tao Chen +1
Video creation has been an attractive yet challenging task for artists to explore. With the advancement of deep learning, recent works try to utilize deep convolutional neural netw…
Object-aware Long-short-range Spatial Alignment for Few-Shot Fine-Grained Image Classification
Yike Wu, Bo Zhang, Gang Yu +4
The goal of few-shot fine-grained image classification is to recognize rarely seen fine-grained objects in the query set, given only a few samples of this class in the support set.…
Shuffle Transformer with Feature Alignment for Video Face Parsing
Rui Zhang, Yang Han, Zilong Huang +4
This is a short technical report introducing the solution of the Team TCParser for Short-video Face Parsing Track of The 3rd Person in Context (PIC) Workshop and Challenge at CVPR…
Shuffle Transformer: Rethinking Spatial Shuffle for Vision Transformer
Zilong Huang, Youcheng Ben, Guozhong Luo +3
Very recently, Window-based Transformers, which computed self-attention within non-overlapping local windows, demonstrated promising results on image classification, semantic segme…
Fast and Accurate Single-Image Depth Estimation on Mobile Devices, Mobile AI 2021 Challenge: Report
Andrey Ignatov, Grigory Malivenko, David Plowman +35
Depth estimation is an important computer vision problem with many practical applications to mobile devices. While many solutions have been proposed for this task, they are usually…