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20182023
most citedEfficient Region-Aware Neural Radiance Fields for High-Fidelity Talking Portrait Synthesis

5 citations · 17 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CV2023★ 5 cited

Efficient Region-Aware Neural Radiance Fields for High-Fidelity Talking Portrait Synthesis

Jiahe Li, Jiawei Zhang, Xiao Bai +2

This paper presents ER-NeRF, a novel conditional Neural Radiance Fields (NeRF) based architecture for talking portrait synthesis that can concurrently achieve fast convergence, rea…

cs.CV2023★ 3 cited

Fine-grained Text and Image Guided Point Cloud Completion with CLIP Model

Wei Song, Jun Zhou, Mingjie Wang +3

This paper focuses on the recently popular task of point cloud completion guided by multimodal information. Although existing methods have achieved excellent performance by fusing…

cs.CV2022★ 3 cited

Revisiting Domain Generalized Stereo Matching Networks from a Feature Consistency Perspective

Jiawei Zhang, Xiang Wang, Xiao Bai +7

Despite recent stereo matching networks achieving impressive performance given sufficient training data, they suffer from domain shifts and generalize poorly to unseen domains. We…

cs.CV2021★ 1 cited

Fast and Accurate Normal Estimation for Point Cloud via Patch Stitching

Jun Zhou, Wei Jin, Mingjie Wang +3

This paper presents an effective normal estimation method adopting multi-patch stitching for an unstructured point cloud. The majority of learning-based approaches encode a local p…

cs.CV2020

Interlayer and Intralayer Scale Aggregation for Scale-invariant Crowd Counting

Mingjie Wang, Hao Cai, Jun Zhou +1

Crowd counting is an important vision task, which faces challenges on continuous scale variation within a given scene and huge density shift both within and across images. These ch…

cs.GR2019★ 5 cited

Normal Estimation for 3D Point Clouds via Local Plane Constraint and Multi-scale Selection

Jun Zhou, Hua Huang, Bin Liu +1

In this paper, we propose a normal estimation method for unstructured 3D point clouds. In this method, a feature constraint mechanism called Local Plane Features Constraint (LPFC)…