activity
20192022
most citedSecure Federated Submodel Learning

28 citations · 67 across the 9 of their papers we have counts for

collaborators

10 papers

cs.CV2022

Ray Priors through Reprojection: Improving Neural Radiance Fields for Novel View Extrapolation

Jian Zhang, Yuanqing Zhang, Huan Fu +6

Neural Radiance Fields (NeRF) have emerged as a potent paradigm for representing scenes and synthesizing photo-realistic images. A main limitation of conventional NeRFs is that the…

cs.GR20225 cited

NeRF-Editing: Geometry Editing of Neural Radiance Fields

Yu-Jie Yuan, Yang-Tian Sun, Yu-Kun Lai +3

Implicit neural rendering, especially Neural Radiance Field (NeRF), has shown great potential in novel view synthesis of a scene. However, current NeRF-based methods cannot enable…

cs.CV20227 cited

Modeling Indirect Illumination for Inverse Rendering

Yuanqing Zhang, Jiaming Sun, Xingyi He +3

Recent advances in implicit neural representations and differentiable rendering make it possible to simultaneously recover the geometry and materials of an object from multi-view R…

cs.LG20211 cited

Data-Free Evaluation of User Contributions in Federated Learning

Hongtao Lv, Zhenzhe Zheng, Tie Luo +5

Federated learning (FL) trains a machine learning model on mobile devices in a distributed manner using each device's private data and computing resources. A critical issues is to…

cs.CV2021

Exploiting Diverse Characteristics and Adversarial Ambivalence for Domain Adaptive Segmentation

Bowen Cai, Huan Fu, Rongfei Jia +3

Adapting semantic segmentation models to new domains is an important but challenging problem. Recently enlightening progress has been made, but the performance of existing methods…

cs.CV2020

3D-FRONT: 3D Furnished Rooms with layOuts and semaNTics

Huan Fu, Bowen Cai, Lin Gao +7

We introduce 3D-FRONT (3D Furnished Rooms with layOuts and semaNTics), a new, large-scale, and comprehensive repository of synthetic indoor scenes highlighted by professionally des…