| 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 | 158 | 2014 |
| 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 | 157 | 2015 |
| Markerless human articulated tracking using hierarchical particle swarm optimisation V John, E Trucco, S Ivekovic Image and vision computing 28 (11), 1530-1547, 2010 | 144 | 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 | 127 | 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 | 119 | 2019 |
| Statistical comparison of image fusion algorithms: Recommendations Z Liu, E Blasch, V John Information Fusion 36, 251-260, 2017 | 102 | 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 | 96 | 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 | 94 | 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 | 71 | 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 | 61 | 2018 |
| 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 | 59 | 2020 |
| 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 | 57 | 2019 |
| 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 | 47 | 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 | 40 | 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 | 39 | 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 | 39 | 2018 |
| 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 | 36 | 2021 |
| 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 | 33 | 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 | 30 | 2020 |
| Person re-identification using height-based gait in colour depth camera V John, G Englebienne, B Krose 2013 IEEE International conference on image processing, 3345-3349, 2013 | 27 | 2013 |
Zheng LiuUniversity of British Columbia (Okanagan)在 ubc.ca 的电子邮件经过验证