activity
20162022
most citedGenerative Adversarial Networks in Computer Vision: A Survey and Taxonomy

273 citations · 349 across the 8 of their papers we have counts for

collaborators

10 papers

cs.CV2022

Weakly Supervised Object Localization as Domain Adaption

Lei Zhu, Qi She, Qian Chen +3

Weakly supervised object localization (WSOL) focuses on localizing objects only with the supervision of image-level classification masks. Most previous WSOL methods follow the clas…

cs.CV2021

Unifying Nonlocal Blocks for Neural Networks

Lei Zhu, Qi She, Duo Li +4

The nonlocal-based blocks are designed for capturing long-range spatial-temporal dependencies in computer vision tasks. Although having shown excellent performance, they still lack…

cs.CV2021★ 3 cited

MINE: Towards Continuous Depth MPI with NeRF for Novel View Synthesis

Jiaxin Li, Zijian Feng, Qi She +3

In this paper, we propose MINE to perform novel view synthesis and depth estimation via dense 3D reconstruction from a single image. Our approach is a continuous depth generalizati…

cs.CV2020★ 2 cited

A Neuro-AI Interface for Evaluating Generative Adversarial Networks

Zhengwei Wang, Qi She, Alan F. Smeaton +2

Generative adversarial networks (GANs) are increasingly attracting attention in the computer vision, natural language processing, speech synthesis and similar domains. However, eva…

cs.RO2019★ 19 cited

Are We Ready for Service Robots? The OpenLORIS-Scene Datasets for Lifelong SLAM

Xuesong Shi, Dongjiang Li, Pengpeng Zhao +15

Service robots should be able to operate autonomously in dynamic and daily changing environments over an extended period of time. While Simultaneous Localization And Mapping (SLAM)…

cs.CV2019★ 1 cited

A Spectral Nonlocal Block for Neural Networks

Lei Zhu, Qi She, Lidan Zhang +1

The nonlocal-based blocks are designed for capturing long-range spatial-temporal dependencies in computer vision tasks. Although having shown excellent performances, they lack the…