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20162023
most citedSR-LSTM: State Refinement for LSTM towards Pedestrian Trajectory Prediction

33 citations · 118 across the 19 of their papers we have counts for

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Showing 2018Show all

10 papers · 1 filter

cs.CV2018

Consistency-aware Shading Orders Selective Fusion for Intrinsic Image Decomposition

Yuanliu Liu, Ang Li, Zejian Yuan +2

We address the problem of decomposing a single image into reflectance and shading. The difficulty comes from the fact that the components of image---the surface albedo, the direct…

cs.NE2018

Design Space Exploration of Neural Network Activation Function Circuits

Tao Yang, Yadong Wei, Zhijun Tu +4

The widespread application of artificial neural networks has prompted researchers to experiment with FPGA and customized ASIC designs to speed up their computation. These implement…

cs.RO2018

A Real-time Robotic Grasp Approach with Oriented Anchor Box

Hanbo Zhang, Xinwen Zhou, Xuguang Lan +3

Grasp is an essential skill for robots to interact with humans and the environment. In this paper, we build a vision-based, robust and real-time robotic grasp approach with fully c…

cs.RO2018

A Multi-task Convolutional Neural Network for Autonomous Robotic Grasping in Object Stacking Scenes

Hanbo Zhang, Xuguang Lan, Site Bai +3

Autonomous robotic grasping plays an important role in intelligent robotics. However, how to help the robot grasp specific objects in object stacking scenes is still an open proble…

cs.RO2018

ROI-based Robotic Grasp Detection for Object Overlapping Scenes

Hanbo Zhang, Xuguang Lan, Site Bai +3

Grasp detection with consideration of the affiliations between grasps and their owner in object overlapping scenes is a necessary and challenging task for the practical use of the…

cs.CV2018

Adding Attentiveness to the Neurons in Recurrent Neural Networks

Pengfei Zhang, Jianru Xue, Cuiling Lan +3

Recurrent neural networks (RNNs) are capable of modeling the temporal dynamics of complex sequential information. However, the structures of existing RNN neurons mainly focus on co…