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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

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Showing 2019Show all

5 papers · 1 filter

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…

cs.CV2019★ 36 cited

Stochastic trajectory prediction with social graph network

Lidan Zhang, Qi She, Ping Guo

Pedestrian trajectory prediction is a challenging task because of the complexity of real-world human social behaviors and uncertainty of the future motion. For the first issue, exi…

cs.LG2019★ 15 cited

Neural Dynamics Discovery via Gaussian Process Recurrent Neural Networks

Qi She, Anqi Wu

Latent dynamics discovery is challenging in extracting complex dynamics from high-dimensional noisy neural data. Many dimensionality reduction methods have been widely adopted to e…

cs.LG2019★ 273 cited

Generative Adversarial Networks in Computer Vision: A Survey and Taxonomy

Zhengwei Wang, Qi She, Tomas E. Ward

Generative adversarial networks (GANs) have been extensively studied in the past few years. Arguably their most significant impact has been in the area of computer vision where gre…