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20182022
most citedDistributed Attention for Grounded Image Captioning

19 citations · 88 across the 14 of their papers we have counts for

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cs.CV20222 cited

ToothInpaintor: Tooth Inpainting from Partial 3D Dental Model and 2D Panoramic Image

Yuezhi Yang, Zhiming Cui, Changjian Li +1

In orthodontic treatment, a full tooth model consisting of both the crown and root is indispensable in making the treatment plan. However, acquiring tooth root information to obtai…

cs.CV20221 cited

NeuralUDF: Learning Unsigned Distance Fields for Multi-view Reconstruction of Surfaces with Arbitrary Topologies

Xiaoxiao Long, Cheng Lin, Lingjie Liu +5

We present a novel method, called NeuralUDF, for reconstructing surfaces with arbitrary topologies from 2D images via volume rendering. Recent advances in neural rendering based re…

cs.CV2022

Self-Supervised Image Representation Learning with Geometric Set Consistency

Nenglun Chen, Lei Chu, Hao Pan +2

We propose a method for self-supervised image representation learning under the guidance of 3D geometric consistency. Our intuition is that 3D geometric consistency priors such as…

cs.CV20224 cited

Towards 3D Scene Understanding by Referring Synthetic Models

Runnan Chen, Xinge Zhu, Nenglun Chen +5

Promising performance has been achieved for visual perception on the point cloud. However, the current methods typically rely on labour-extensive annotations on the scene scans. In…

cs.CV2021

PR-Net: Preference Reasoning for Personalized Video Highlight Detection

Runnan Chen, Penghao Zhou, Wenzhe Wang +4

Personalized video highlight detection aims to shorten a long video to interesting moments according to a user's preference, which has recently raised the community's attention. Cu…

cs.CV202119 cited

Distributed Attention for Grounded Image Captioning

Nenglun Chen, Xingjia Pan, Runnan Chen +7

We study the problem of weakly supervised grounded image captioning. That is, given an image, the goal is to automatically generate a sentence describing the context of the image w…