11 citations · 12 across the 3 of their papers we have counts for
6 papers
PISE: Person Image Synthesis and Editing with Decoupled GAN
Jinsong Zhang, Kun Li, Yu-Kun Lai +1
Person image synthesis, e.g., pose transfer, is a challenging problem due to large variation and occlusion. Existing methods have difficulties predicting reasonable invisible regio…
Geometry-guided Dense Perspective Network for Speech-Driven Facial Animation
Jingying Liu, Binyuan Hui, Kun Li +5
Realistic speech-driven 3D facial animation is a challenging problem due to the complex relationship between speech and face. In this paper, we propose a deep architecture, called…
Supervised Raw Video Denoising with a Benchmark Dataset on Dynamic Scenes
Huanjing Yue, Cong Cao, Lei Liao +2
In recent years, the supervised learning strategy for real noisy image denoising has been emerging and has achieved promising results. In contrast, realistic noise removal for raw…
STC-Flow: Spatio-temporal Context-aware Optical Flow Estimation
Xiaolin Song, Yuyang Zhao, Jingyu Yang
In this paper, we propose a spatio-temporal contextual network, STC-Flow, for optical flow estimation. Unlike previous optical flow estimation approaches with local pyramid feature…
Learning to Reconstruct and Understand Indoor Scenes from Sparse Views
Jingyu Yang, Ji Xu, Kun Li +5
This paper proposes a new method for simultaneous 3D reconstruction and semantic segmentation of indoor scenes. Unlike existing methods that require recording a video using a color…
Temporal-Spatial Mapping for Action Recognition
Xiaolin Song, Cuiling Lan, Wenjun Zeng +3
Deep learning models have enjoyed great success for image related computer vision tasks like image classification and object detection. For video related tasks like human action re…