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20162023
most citedPointRNN: Point Recurrent Neural Network for Moving Point Cloud Processing

81 citations · 347 across the 48 of their papers we have counts for

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Showing 2019Show all

22 papers · 1 filter

cs.CV2019★ 81 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.CV2019★ 48 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.CV2019★ 1 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.CV2019★ 1 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…

cs.CV2019

A Novel Design of Adaptive and Hierarchical Convolutional Neural Networks using Partial Reconfiguration on FPGA

Mohammad Farhadi, Mehdi Ghasemi, Yezhou Yang

Nowadays most research in visual recognition using Convolutional Neural Networks (CNNs) follows the "deeper model with deeper confidence" belief to gain a higher recognition accura…