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Where, What, Whether: Multi-modal Learning Meets Pedestrian Detection

Where, What, Whether: Multi-modal Learning Meets Pedestrian Detection

Computer Vision and Pattern Recognition (CVPR), 2020
20 December 2020
Yan Luo
Chongyang Zhang
Muming Zhao
Hao Zhou
Jun Sun
ArXiv (abs)PDFHTML

Papers citing "Where, What, Whether: Multi-modal Learning Meets Pedestrian Detection"

6 / 6 papers shown
Learning better representations for crowded pedestrians in offboard LiDAR-camera 3D tracking-by-detection
Learning better representations for crowded pedestrians in offboard LiDAR-camera 3D tracking-by-detectionIEEE International Conference on Robotics and Automation (ICRA), 2025
Shichao Li
Peiliang Li
Qing Lian
Peng Yun
Xiaozhi Chen
3DPC3DV
293
2
0
21 May 2025
Imagine the Unseen: Occluded Pedestrian Detection via Adversarial
  Feature Completion
Imagine the Unseen: Occluded Pedestrian Detection via Adversarial Feature Completion
Shanshan Zhang
Mingqian Ji
Yang Li
Jian Yang
374
3
0
02 May 2024
Deep Learning Serves Traffic Safety Analysis: A Forward-looking Review
Deep Learning Serves Traffic Safety Analysis: A Forward-looking ReviewIET Intelligent Transport Systems (IET ITS), 2022
Abolfazl Razi
Xiwen Chen
Huayu Li
Hao Wang
Brendan J. Russo
Yan Chen
Hongbin Yu
374
59
0
07 Mar 2022
View Birdification in the Crowd: Ground-Plane Localization from
  Perceived Movements
View Birdification in the Crowd: Ground-Plane Localization from Perceived MovementsInternational Journal of Computer Vision (IJCV), 2021
Mai Nishimura
S. Nobuhara
Ko Nishino
378
5
0
09 Nov 2021
NMS-Loss: Learning with Non-Maximum Suppression for Crowded Pedestrian
  Detection
NMS-Loss: Learning with Non-Maximum Suppression for Crowded Pedestrian DetectionInternational Conference on Multimedia Retrieval (ICMR), 2021
Zekun Luo
Zhen Fang
Sixiao Zheng
Yabiao Wang
Yanwei Fu
291
38
0
04 Jun 2021
From Handcrafted to Deep Features for Pedestrian Detection: A Survey
From Handcrafted to Deep Features for Pedestrian Detection: A SurveyIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
Jiale Cao
Yanwei Pang
Jin Xie
Fahad Shahbaz Khan
Ling Shao
ObjD
323
131
0
01 Oct 2020
1
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