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20192023
most citedCephalometric Landmark Detection by AttentiveFeature Pyramid Fusion and Regression-Voting

19 citations · 113 across the 16 of their papers we have counts for

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Showing 2021Show all

5 papers · 1 filter

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.CV2021★ 19 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…

cs.GR2021★ 14 cited

CurveFusion: Reconstructing Thin Structures from RGBD Sequences

Lingjie Liu, Nenglun Chen, Duygu Ceylan +3

We introduce CurveFusion, the first approach for high quality scanning of thin structures at interactive rates using a handheld RGBD camera. Thin filament-like structures are mathe…

cs.CV2021

Structure-Aware Long Short-Term Memory Network for 3D Cephalometric Landmark Detection

Runnan Chen, Yuexin Ma, Nenglun Chen +4

Detecting 3D landmarks on cone-beam computed tomography (CBCT) is crucial to assessing and quantifying the anatomical abnormalities in 3D cephalometric analysis. However, the curre…

cs.CV2021★ 4 cited

Semi-supervised Anatomical Landmark Detection via Shape-regulated Self-training

Runnan Chen, Yuexin Ma, Lingjie Liu +4

Well-annotated medical images are costly and sometimes even impossible to acquire, hindering landmark detection accuracy to some extent. Semi-supervised learning alleviates the rel…