58 citations · 255 across the 31 of their papers we have counts for
6 papers · 1 filter
Self-Supervised Monocular Depth Estimation with Internal Feature Fusion
Hang Zhou, David Greenwood, Sarah Taylor
Self-supervised learning for depth estimation uses geometry in image sequences for supervision and shows promising results. Like many computer vision tasks, depth network performan…
Hyperspectral Mixed Noise Removal via Subspace Representation and Weighted Low-rank Tensor Regularization
Hang Zhou, Yanchi Su, Zhanshan Li
Recently, the low-rank property of different components extracted from the image has been considered in man hyperspectral image denoising methods. However, these methods usually un…
SUB-Depth: Self-distillation and Uncertainty Boosting Self-supervised Monocular Depth Estimation
Hang Zhou, Sarah Taylor, David Greenwood +1
We propose SUB-Depth, a universal multi-task training framework for self-supervised monocular depth estimation (SDE). Depth models trained with SUB-Depth outperform the same models…
Audio-Driven Emotional Video Portraits
Xinya Ji, Hang Zhou, Kaisiyuan Wang +4
Despite previous success in generating audio-driven talking heads, most of the previous studies focus on the correlation between speech content and the mouth shape. Facial emotion,…
Pose-Controllable Talking Face Generation by Implicitly Modularized Audio-Visual Representation
Hang Zhou, Yasheng Sun, Wayne Wu +3
While accurate lip synchronization has been achieved for arbitrary-subject audio-driven talking face generation, the problem of how to efficiently drive the head pose remains. Prev…
Visually Informed Binaural Audio Generation without Binaural Audios
Xudong Xu, Hang Zhou, Ziwei Liu +3
Stereophonic audio, especially binaural audio, plays an essential role in immersive viewing environments. Recent research has explored generating visually guided stereophonic audio…