activity
20202022
most citedPrototypical Pseudo Label Denoising and Target Structure Learning for Domain Adaptive Semantic Segmentation

36 citations · 57 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2022★ 2 cited

MetaPortrait: Identity-Preserving Talking Head Generation with Fast Personalized Adaptation

Bowen Zhang, Chenyang Qi, Pan Zhang +6

In this work, we propose an ID-preserving talking head generation framework, which advances previous methods in two aspects. First, as opposed to interpolating from sparse flow, we…

cs.CV2022★ 1 cited

Real-Time Neural Character Rendering with Pose-Guided Multiplane Images

Hao Ouyang, Bo Zhang, Pan Zhang +5

We propose pose-guided multiplane image (MPI) synthesis which can render an animatable character in real scenes with photorealistic quality. We use a portable camera rig to capture…

cs.CV2022★ 1 cited

Semi-Supervised Image-to-Image Translation using Latent Space Mapping

Pan Zhang, Jianmin Bao, Ting Zhang +2

Recent image-to-image translation works have been transferred from supervised to unsupervised settings due to the expensive cost of capturing or labeling large amounts of paired da…

cs.CV2021★ 12 cited

Robust Mutual Learning for Semi-supervised Semantic Segmentation

Pan Zhang, Bo Zhang, Ting Zhang +2

Recent semi-supervised learning (SSL) methods are commonly based on pseudo labeling. Since the SSL performance is greatly influenced by the quality of pseudo labels, mutual learnin…

cs.CV2021★ 36 cited

Prototypical Pseudo Label Denoising and Target Structure Learning for Domain Adaptive Semantic Segmentation

Pan Zhang, Bo Zhang, Ting Zhang +3

Self-training is a competitive approach in domain adaptive segmentation, which trains the network with the pseudo labels on the target domain. However inevitably, the pseudo labels…

cs.CV2020★ 5 cited

CoCosNet v2: Full-Resolution Correspondence Learning for Image Translation

Xingran Zhou, Bo Zhang, Ting Zhang +5

We present the full-resolution correspondence learning for cross-domain images, which aids image translation. We adopt a hierarchical strategy that uses the correspondence from coa…