most citedPredicting Scene Parsing and Motion Dynamics in the Future

49 citations · 122 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV20204 cited

NAS-DIP: Learning Deep Image Prior with Neural Architecture Search

Yun-Chun Chen, Chen Gao, Esther Robb +1

Recent work has shown that the structure of deep convolutional neural networks can be used as a structured image prior for solving various inverse image restoration tasks. Instead…

cs.CV20178 cited

Weaving Multi-scale Context for Single Shot Detector

Yunpeng Chen, Jianshu Li, Bin Zhou +2

Aggregating context information from multiple scales has been proved to be effective for improving accuracy of Single Shot Detectors (SSDs) on object detection. However, existing m…

cs.CV201749 cited

Predicting Scene Parsing and Motion Dynamics in the Future

Xiaojie Jin, Huaxin Xiao, Xiaohui Shen +6

The ability of predicting the future is important for intelligent systems, e.g. autonomous vehicles and robots to plan early and make decisions accordingly. Future scene parsing an…

cs.CV201731 cited

Dual Path Networks

Yunpeng Chen, Jianan Li, Huaxin Xiao +3

In this work, we present a simple, highly efficient and modularized Dual Path Network (DPN) for image classification which presents a new topology of connection paths internally. B…

cs.CV201730 cited

Sharing Residual Units Through Collective Tensor Factorization in Deep Neural Networks

Chen Yunpeng, Jin Xiaojie, Kang Bingyi +2

Residual units are wildly used for alleviating optimization difficulties when building deep neural networks. However, the performance gain does not well compensate the model size i…