Vijay John
Cited by
Cited by
Pedestrian detection in thermal images using adaptive fuzzy C-means clustering and convolutional neural networks
V John, S Mita, Z Liu, B Qi
2015 14th IAPR international conference on machine vision applications (MVA …, 2015
Traffic light recognition in varying illumination using deep learning and saliency map
V John, K Yoneda, B Qi, Z Liu, S Mita
17th International IEEE Conference on Intelligent Transportation Systems …, 2014
Markerless human articulated tracking using hierarchical particle swarm optimisation
V John, E Trucco, S Ivekovic
Image and vision computing 28 (11), 1530-1547, 2010
Real-time lane estimation using deep features and extra trees regression
V John, Z Liu, C Guo, S Mita, K Kidono
Image and Video Technology: 7th Pacific-Rim Symposium, PSIVT 2015, Auckland …, 2016
RVNet: Deep sensor fusion of monocular camera and radar for image-based obstacle detection in challenging environments
V John, S Mita
Image and Video Technology: 9th Pacific-Rim Symposium, PSIVT 2019, Sydney …, 2019
Statistical comparison of image fusion algorithms: Recommendations
Z Liu, E Blasch, V John
Information Fusion 36, 251-260, 2017
Saliency map generation by the convolutional neural network for real-time traffic light detection using template matching
V John, K Yoneda, Z Liu, S Mita
IEEE transactions on computational imaging 1 (3), 159-173, 2015
3D point cloud map based vehicle localization using stereo camera
Y Xu, V John, S Mita, H Tehrani, K Ishimaru, S Nishino
2017 IEEE intelligent vehicles symposium (IV), 487-492, 2017
Deep learning-based fast hand gesture recognition using representative frames
V John, A Boyali, S Mita, M Imanishi, N Sanma
2016 International Conference on Digital Image Computing: Techniques and …, 2016
Fusing synergistic information from multi-sensor images: an overview from implementation to performance assessment
Z Liu, E Blasch, G Bhatnagar, V John, W Wu, RS Blum
Information Fusion 42, 127-145, 2018
RGB-D-based object recognition using multimodal convolutional neural networks: a survey
M Gao, J Jiang, G Zou, V John, Z Liu
IEEE access 7, 43110-43136, 2019
Enhanced situation awareness through CNN-based deep multimodal image fusion
S Liu, H Liu, V John, Z Liu, E Blasch
Optical Engineering 59 (5), 053103-053103, 2020
Deep learning thermal image translation for night vision perception
S Liu, M Gao, V John, Z Liu, E Blasch
ACM Transactions on Intelligent Systems and Technology (TIST) 12 (1), 1-18, 2020
Pedestrian detection from thermal images: A sparse representation based approach
B Qi, V John, Z Liu, S Mita
Infrared Physics & Technology 76, 157-167, 2016
Real-time road surface and semantic lane estimation using deep features
V John, Z Liu, S Mita, C Guo, K Kidono
Signal, Image and Video Processing 12, 1133-1140, 2018
IR2VI: enhanced night environmental perception by unsupervised thermal image translation
S Liu, V John, E Blasch, Z Liu, Y Huang
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
Fusion of thermal and visible cameras for the application of pedestrian detection
V John, S Tsuchizawa, Z Liu, S Mita
Signal, Image and Video Processing 11, 517-524, 2017
So-net: Joint semantic segmentation and obstacle detection using deep fusion of monocular camera and radar
V John, MK Nithilan, S Mita, H Tehrani, RS Sudheesh, PP Lalu
Image and Video Technology: PSIVT 2019 International Workshops, Sydney, NSW …, 2020
Use of sparse representation for pedestrian detection in thermal images
B Qi, V John, Z Liu, S Mita
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014
Deep feature-level sensor fusion using skip connections for real-time object detection in autonomous driving
V John, S Mita
Electronics 10 (4), 424, 2021
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