Spatio-Contextual Deep Network Based Multimodal Pedestrian Detection For Autonomous Driving

26 May 2021

Papers citing "Spatio-Contextual Deep Network Based Multimodal Pedestrian Detection For Autonomous Driving"

8 / 8 papers shown

Title
MambaST: A Plug-and-Play Cross-Spectral Spatial-Temporal Fuser for Efficient Pedestrian Detection Xiangbo Gao A. Kanu-Asiegbu Xiaoxiao Du Mamba 38 0 0 02 Aug 2024
Deep Multi-Task Networks For Occluded Pedestrian Pose Estimation Arindam Das Sudip Das Ganesh Sistu Jonathan Horgan Ujjwal Bhattacharya Edward Jones M. Glavin Ciarán Eising 3DH 21 6 0 15 Jun 2022
Emergent Visual Sensors for Autonomous Vehicles You Li Julien Moreau J. Ibañez-Guzmán 42 28 0 19 May 2022
UnShadowNet: Illumination Critic Guided Contrastive Learning For Shadow Removal Subhrajyoti Dasgupta Arindam Das S. Yogamani Sudip Das Ciarán Eising Andrei Bursuc Ujjwal Bhattacharya 42 6 0 29 Mar 2022
Vision-based Driver Assistance Systems: Survey, Taxonomy and Advances Jonathan Horgan Ciarán Hughes J. McDonald S. Yogamani 26 55 0 26 Apr 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,661 0 05 Dec 2016
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Z. Tu Kaiming He 297 10,220 0 16 Nov 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,138 0 06 Jun 2015