LiDAR-based 3D Video Object Detection with Foreground Context Modeling and Spatiotemporal Graph Reasoning

Mapping Intimacies ◽

10.1109/itsc48978.2021.9565058 ◽

2021 ◽

Author(s):

Ziyu Xiong ◽

Huimin Ma ◽

Yilin Wang ◽

Tianyu Hu ◽

Qingmin Liao

Keyword(s):

Object Detection ◽

3D Video ◽

Context Modeling ◽

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LiDAR-Based Online 3D Video Object Detection With Graph-Based Message Passing and Spatiotemporal Transformer Attention

2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) ◽

10.1109/cvpr42600.2020.01151 ◽

2020 ◽

Author(s):

Junbo Yin ◽

Jianbing Shen ◽

Chenye Guan ◽

Dingfu Zhou ◽

Ruigang Yang

Keyword(s):

Object Detection ◽

Message Passing ◽

3D Video ◽

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Graph Neural Network and Spatiotemporal Transformer Attention for 3D Video Object Detection from Point Clouds

IEEE Transactions on Pattern Analysis and Machine Intelligence ◽

10.1109/tpami.2021.3125981 ◽

2021 ◽

pp. 1-1

Author(s):

Junbo Yin ◽

Jianbing Shen ◽

Xin Gao ◽

David Crandall ◽

Ruigang Yang

Keyword(s):

Neural Network ◽

Object Detection ◽

Point Clouds ◽

3D Video ◽

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Sequence Level Semantics Aggregation for Video Object Detection

2019 IEEE/CVF International Conference on Computer Vision (ICCV) ◽

10.1109/iccv.2019.00931 ◽

2019 ◽

Author(s):

Haiping Wu ◽

Yuntao Chen ◽

Naiyan Wang ◽

Zhao-Xiang Zhang

Keyword(s):

Object Detection ◽

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Global and local feature alignment for video object detection

Proceedings of the 2nd ACM International Conference on Multimedia in Asia ◽

10.1145/3444685.3446263 ◽

2021 ◽

Author(s):

Haihui Ye ◽

Qiang Qi ◽

Ying Wang ◽

Yang Lu ◽

Hanzi Wang

Keyword(s):

Object Detection ◽

Local Feature ◽

Video Object ◽

Global And Local ◽

Feature Alignment

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Video Object Detection Method Using Single-Frame Detection and Motion Vector Tracking

2020 IEEE 18th International Conference on Industrial Informatics (INDIN) ◽

10.1109/indin45582.2020.9442163 ◽

2020 ◽

Author(s):

Masato Nohara ◽

Hiroaki Nishi

Keyword(s):

Object Detection ◽

Detection Method ◽

Motion Vector ◽

Video Object ◽

Single Frame ◽

Vector Tracking

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Fully Motion-Aware Network for Video Object Detection

Computer Vision – ECCV 2018 - Lecture Notes in Computer Science ◽

10.1007/978-3-030-01261-8_33 ◽

2018 ◽

pp. 557-573 ◽

Author(s):

Shiyao Wang ◽

Yucong Zhou ◽

Junjie Yan ◽

Zhidong Deng

Keyword(s):

Object Detection ◽

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Detection and tracking based tubelet generation for video object detection

Journal of Visual Communication and Image Representation ◽

10.1016/j.jvcir.2018.11.014 ◽

2019 ◽

Vol 58 ◽

pp. 102-111 ◽

Author(s):

Bin Wang ◽

Sheng Tang ◽

Jun-Bin Xiao ◽

Quan-Feng Yan ◽

Yong-Dong Zhang

Keyword(s):

Object Detection ◽

Video Object ◽

Detection And Tracking

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Real-time video object detection and classification using hybrid texture feature extraction

International Journal of Computers and Applications ◽

10.1080/1206212x.2018.1525929 ◽

2018 ◽

pp. 1-8 ◽

Author(s):

N. Venkatesvara Rao ◽

D. Venkatavara Prasad ◽

M. Sugumaran

Keyword(s):

Feature Extraction ◽

Object Detection ◽

Real Time ◽

Texture Feature ◽

Video Object ◽

Texture Feature Extraction

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Recurrent RetinaNet: A Video Object Detection Model Based on Focal Loss

Neural Information Processing - Lecture Notes in Computer Science ◽

10.1007/978-3-030-04212-7_44 ◽

2018 ◽

pp. 499-508 ◽

Author(s):

Xiaobo Li ◽

Haohua Zhao ◽

Liqing Zhang

Keyword(s):

Object Detection ◽

Video Object ◽

Detection Model ◽

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Aggregating Motion and Attention for Video Object Detection

Lecture Notes in Computer Science - Pattern Recognition ◽

10.1007/978-3-030-41299-9_47 ◽

2020 ◽

pp. 601-610 ◽

Author(s):

Ruyi Zhang ◽

Zhenjiang Miao ◽

Cong Ma ◽

Shanshan Hao

Keyword(s):

Object Detection ◽

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