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20192022
most citedVoxel R-CNN: Towards High Performance Voxel-based 3D Object Detection

12 citations · 26 across the 6 of their papers we have counts for

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8 papers · 1 filter

cs.CV20221 cited

Geometric Representation Learning for Document Image Rectification

Hao Feng, Wengang Zhou, Jiajun Deng +2

In document image rectification, there exist rich geometric constraints between the distorted image and the ground truth one. However, such geometric constraints are largely ignore…

cs.CV20211 cited

From Multi-View to Hollow-3D: Hallucinated Hollow-3D R-CNN for 3D Object Detection

Jiajun Deng, Wengang Zhou, Yanyong Zhang +1

As an emerging data modal with precise distance sensing, LiDAR point clouds have been placed great expectations on 3D scene understanding. However, point clouds are always sparsely…

cs.CV20211 cited

Neighbor-Vote: Improving Monocular 3D Object Detection through Neighbor Distance Voting

Xiaomeng Chu, Jiajun Deng, Yao Li +4

As cameras are increasingly deployed in new application domains such as autonomous driving, performing 3D object detection on monocular images becomes an important task for visual…

cs.CV202111 cited

Weakly Supervised Temporal Adjacent Network for Language Grounding

Yuechen Wang, Jiajun Deng, Wengang Zhou +1

Temporal language grounding (TLG) is a fundamental and challenging problem for vision and language understanding. Existing methods mainly focus on fully supervised setting with tem…

cs.CV202012 cited

Voxel R-CNN: Towards High Performance Voxel-based 3D Object Detection

Jiajun Deng, Shaoshuai Shi, Peiwei Li +3

Recent advances on 3D object detection heavily rely on how the 3D data are represented, \emph{i.e.}, voxel-based or point-based representation. Many existing high performance 3D de…

cs.CV2020

Single Shot Video Object Detector

Jiajun Deng, Yingwei Pan, Ting Yao +3

Single shot detectors that are potentially faster and simpler than two-stage detectors tend to be more applicable to object detection in videos. Nevertheless, the extension of such…