92 citations · 175 across the 3 of their papers we have counts for
3 papers
cs.CV2018★ 80 cited
LiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation
Tak-Wai Hui, Xiaoou Tang, Chen Change Loy
FlowNet2, the state-of-the-art convolutional neural network (CNN) for optical flow estimation, requires over 160M parameters to achieve accurate flow estimation. In this paper we p…
cs.CV2017★ 3 cited
ViP-CNN: Visual Phrase Guided Convolutional Neural Network
Yikang Li, Wanli Ouyang, Xiaogang Wang +1
As the intermediate level task connecting image captioning and object detection, visual relationship detection started to catch researchers' attention because of its descriptive po…
cs.CV2014★ 92 cited
3D ShapeNets: A Deep Representation for Volumetric Shapes
Zhirong Wu, Shuran Song, Aditya Khosla +4
3D shape is a crucial but heavily underutilized cue in today's computer vision systems, mostly due to the lack of a good generic shape representation. With the recent availability…