72 citations · 259 across the 24 of their papers we have counts for
5 papers · 1 filter
MIMAMO Net: Integrating Micro- and Macro-motion for Video Emotion Recognition
Didan Deng, Zhaokang Chen, Yuqian Zhou +1
Spatial-temporal feature learning is of vital importance for video emotion recognition. Previous deep network structures often focused on macro-motion which extends over long time…
FLNet: Landmark Driven Fetching and Learning Network for Faithful Talking Facial Animation Synthesis
Kuangxiao Gu, Yuqian Zhou, Thomas Huang
Talking face synthesis has been widely studied in either appearance-based or warping-based methods. Previous works mostly utilize single face image as a source, and generate novel…
Learning Raw Image Denoising with Bayer Pattern Unification and Bayer Preserving Augmentation
Jiaming Liu, Chi-Hao Wu, Yuzhi Wang +8
In this paper, we present new data pre-processing and augmentation techniques for DNN-based raw image denoising. Compared with traditional RGB image denoising, performing this task…
When AWGN-based Denoiser Meets Real Noises
Yuqian Zhou, Jianbo Jiao, Haibin Huang +4
Discriminative learning-based image denoisers have achieved promising performance on synthetic noises such as Additive White Gaussian Noise (AWGN). The synthetic noises adopted in…
GeoNet: Deep Geodesic Networks for Point Cloud Analysis
Tong He, Haibin Huang, Li Yi +4
Surface-based geodesic topology provides strong cues for object semantic analysis and geometric modeling. However, such connectivity information is lost in point clouds. Thus we in…