activity
20172022
most citedPointRNN: Point Recurrent Neural Network for Moving Point Cloud Processing

81 citations · 173 across the 16 of their papers we have counts for

collaborators

36 papers

physics.app-ph2020

Wind Driven Semiconductor Electricity Generator With High Direct Current Output Based On a Dynamic Schottky Junction

Xutao Yu, Haonan Zheng, Yanghua Lu +5

As the fast development of internet of things (IoTs), distributed sensors have been frequently used and the small and portable power sources are highly demanded. However, the prese…

cs.CV201981 cited

PointRNN: Point Recurrent Neural Network for Moving Point Cloud Processing

Hehe Fan, Yi Yang

In this paper, we introduce a Point Recurrent Neural Network (PointRNN) for moving point cloud processing. At each time step, PointRNN takes point coordinates $\boldsymbol{P} \in \…

cs.CV201948 cited

Self-Correction for Human Parsing

Peike Li, Yunqiu Xu, Yunchao Wei +1

Labeling pixel-level masks for fine-grained semantic segmentation tasks, e.g. human parsing, remains a challenging task. The ambiguous boundary between different semantic parts and…

cs.CV20191 cited

Searching for A Robust Neural Architecture in Four GPU Hours

Xuanyi Dong, Yi Yang

Conventional neural architecture search (NAS) approaches are based on reinforcement learning or evolutionary strategy, which take more than 3000 GPU hours to find a good model on C…

cs.CV2019

One-Shot Neural Architecture Search via Self-Evaluated Template Network

Xuanyi Dong, Yi Yang

Neural architecture search (NAS) aims to automate the search procedure of architecture instead of manual design. Even if recent NAS approaches finish the search within days, length…

cs.CV20191 cited

Multi-scale discriminative Region Discovery for Weakly-Supervised Object Localization

Pei Lv, Haiyu Yu, Junxiao Xue +5

Localizing objects with weak supervision in an image is a key problem of the research in computer vision community. Many existing Weakly-Supervised Object Localization (WSOL) appro…