Guanghui (Richard) WangSystems Design Engineering Office: DC 2638 |
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Ph.D. University of Waterloo, 2014
Associate Professor, Ryerson University, 2020 - present
Associate/Assistant Professor, University of Kansas, 2014 - 2020
Computational Vision: Structure from motion, stereo vision, visual measurement
Image Analysis: Image classification, object detection, image matching, image translation
Autonomous Systems: Robot navigation, multisensor data fusion, simultaneous localization & mapping
Artificial Intelligence: Deep learning, machine learning, visual attention, semantic segmentation, scene classification
Sajid, U., Sajid, H., Wang, H., & Wang, G. (2020). ZoomCount: A zooming mechanism for crowd counting in static images . IEEE Transactions on Circuits and Systems for Video Technology. DOI: 10.1109/TCSVT.2020.2978717. 2020.
Ma, W., Wu, Y, Cen, F., & Wang, G. (2020). MDFN: Multi-scale deep feature learning network for object detection.Pattern Recognition. vol.100. 2020.
Cen F., & Wang, G. (2019). Boosting occluded image classification via subspace decomposition based estimation of deep features. IEEE Transactions on Cybernetics, DOI: 10.1109/TCYB.2019.2931067. 2019.
Sui, Y., Zhang Z., Wang, G., Tang, Y., & Zhang, L., (2019). Exploiting the anisotropy of correlation filter learning for visual tracking. International Journal of Computer Vision, doi.org/10.1007/s11263-019-01156-6, 2019.
Sui, Y., Wang, G., & Zhang, L., (2019). Joint correlation filtering for visual tracking. IEEE Transactions on Circuits and Systems for Video Technology, DOI: 10.1109/TCSVT.2018.2888573. 2019.
Sui, Y., Wang, G., & Zhang, L., (2019). Sparse subspace clustering via low-rank structure propagation. Pattern Recognition. vol. 95, pp. 261-271.
Xu, W., Keshmiri, S., & Wang, G. (2019). Adversarially approximated autoencoder for image generation and manipulation. IEEE Transactions on Multimedia. DOI: 10.1109/TMM.2019.2898777 2019
Xu, W., Keshmiri, S., & Wang, G., (2019). Toward learning a unified many-to-many mapping for diverse image translation. Pattern Recognition. vol. 93, pp. 570-580.
Sui, Y., Tang, Y., Zhang, L.,Wang, G., (2018). Visual tracking via subspace learning: A discriminative approach. International Journal of Computer Vision, vol. 126 (5), pp.515-536, 2018.
Huo, J., Wu, J., Cao, J., & Wang, G. (2018). Supervoxel based method for multi-atlas segmentation of brain MR images. NeuroImage, vol.175, pp.201-214 2018.
He, L., Wang, G., & Hu, Z. (2018). Learning depth from single images with deep neural network embedding focal length,.IEEE Transactions on Image Processing, vol.27(9), pp. 4676 - 4689, 2018
Sui, Y., Wang, G., Zhang, L., &Yang, M.X. (2018). Exploiting spatial-temporal locality of tracking via structured dictionary learning. IEEE Transactions on Image Processing, vol.27(3), pp.1282-1296, 2018.
Bharati, S., Wu, Y., Sui, Y., Padgett, C., & Wang, G. (2018). Real-time obstacle detection and tracking for sense-and-avoid mechanism in UAVs. IEEE Transactions on Intelligent Vehicles, DOI: 10.1109/TIV.2018.2804166, 2018.
Zhang,, Z., Wu, Y., & Wang, G. (2018). BPGrad: Towards global optimality in deep learning via branch and pruning. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018.
Sui, Y., Wang, G., Zhang, L.(2017). Correlation filter learning toward peak strength for visual tracking. IEEE Transactions on Cybernetics, vol. 48 (4) pp.1290-1303. 2018.
Wu, F., Zhang, M., Wang, G., & Hu, Z. (2016). Triangulation and metric of lines based on geometric error. Computer Vision and Image Understanding, vol.145, pp.111-127, 2016.
Sui, Y., Wang, G., Tang, Y., Zhang, L. (2016). Tracking completion, European Conference on Computer Vision (ECCV), 2016.
Sui, Y., Zhang, Z., Wang, G., Tang, Y., Zhang, L. (2016). Real-time visual tracking: promoting the robustness of correlation filter learning, European Conference on Computer Vision (ECCV), 2016.
Wang, G., Zelek, J., & Wu, J. (2012). Structure and motion recovery based on spatial-and-temporal-weighted factorization. IEEE Trans. on Circuits and Systems for Video Technology (T-CSVT), 22(11), 1590-1603.
Zhang, W., Wu, J., & Wang, G. (2012). Tracking and pairing vehicle headlight in night scenes. IEEE Trans. on Intelligent Transportation Systems (T-ITS), 13(1), 140-153.
Wang, G., & Wu, J. (2010). Quasi-perspective projection model: Theory and application to structure and motion factorization from uncalibrated image sequences. International Journal of Computer Vision (IJCV), 87(3), 213-234.
Wang, G., & Wu, J. (2010). The quasi-perspective model: Geometric properties and 3D reconstruction. Pattern Recognition, 43(5), 1932-1942.
Zhang, W., Wu, J., & Wang, G. (2010). An adaptive computational model for salient object detection. IEEE Trans. on Multimedia (T-MM), 12(4), 300-316.
Wang, G., & Wu, J. (2009). Perspective 3D Euclidean reconstruction with varying camera parameters. IEEE Trans. on Circuits and Systems for Video Technology (T-CSVT), 19(12), 1793-1803.
Wang, G., & Wu, J. (2008). Stratification approach for 3D Euclidean reconstruction of nonrigid objects from uncalibrated image sequences. IEEE Trans. on Systems, Man, and Cybernetics: Part B (T-SMCB), 38(1), 90-101.
Wang, G., & Wu, J. (2008). Quasi-perspective projection with applications to 3D factorization from uncalibrated image sequences. In IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR) 2008.
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University of Waterloo |
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