Professor Chunhua Shen
Professor
School of Computer Science
Faculty of Engineering, Computer and Mathematical Sciences
Eligible to supervise Masters and PhD - email supervisor to discuss availability.
He was a Professor of Computer Science at The University of Adelaide from 2014 to Jan. 2021. His research mainly focuses on Machine Learning and Computer Vision; the objective is to build a visual system with human-like performance.
Chunhua Shen is an Adjunct Professor of Data Science and AI at Faculty of Information Technology, Monash University.
From 2014 to Jan. 2021, Chunhua Shen was a Professor of Computer Science at University of Adelaide, leading the Adelaide Machine Learning Group. He held an ARC Future Fellowship from 2012 to 2016.
He received a PhD degree at University of Adelaide; then worked at the NICTA (formerly National ICT Australia) computer vision program for about six years. From 2006 to 2011, he held an adjunct position at College of Engineering & Computer Science, Australian National University.
A list of published papers :List in PDF, Google scholar, and arXiv.
See git.io/shen for more information.
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Appointments
Date Position Institution name 2014 - 2021 Professor University of Adelaide 2011 - 2014 Senior Lecturer/Associate Professor University of Adelaide 2005 - 2011 Researcher/Senior Researcher National ICT Australia and Australian National University -
Awards and Achievements
Date Type Title Institution Name Country Amount 2012 Fellowship Australian Research Council Future Fellowship — Australia — -
Education
Date Institution name Country Title 2003 - 2005 University of Adelaide Australia PhD — Nanjing University China Master — Nanjing University China Bachelor — Australian National University Australia MPhil Applied Statistics -
Research Interests
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Journals
Year Citation 2021 Zhang, J., Xie, Y., Pang, G., Liao, Z., Verjans, J., Li, W., . . . Xia, Y. (2021). Viral pneumonia screening on chest X-rays using confidence-aware anomaly detection. IEEE Transactions on Medical Imaging, 40(3), 879-890.
Scopus3 WoS1 Europe PMC72021 Tian, L., Wang, P., Liang, G., & Shen, C. (2021). An adversarial human pose estimation network injected with graph structure. Pattern Recognition, 115, 107863.
2021 Xie, Y., Zhang, J., Lu, H., Shen, C., & Xia, Y. (2021). SESV: Accurate Medical Image Segmentation by Predicting and Correcting Errors. IEEE Transactions on Medical Imaging, 40(1), 286-296.
Scopus2 WoS22021 Zhang, S., Liu, Y., Jin, L., Wei, Z., & Shen, C. (2021). OPMP: An Omnidirectional Pyramid Mask Proposal Network for Arbitrary-Shape Scene Text Detection. IEEE Transactions on Multimedia, 23, 454-467.
Scopus3 WoS22021 Luo, C., Lin, Q., Liu, Y., Jin, L., & Shen, C. (2021). Separating Content from Style Using Adversarial Learning for Recognizing Text in the Wild. International Journal of Computer Vision, 129(4), 960-976.
2021 Zhao, Y., Shen, C., Yu, X., Chen, H., Gao, Y., & Xiong, S. (2021). Learning deep part-aware embedding for person retrieval. Pattern Recognition, 116, 1-10.
2021 Liu, Y., He, T., Chen, H., Wang, X., Luo, C., Zhang, S., . . . Jin, L. (2021). Exploring the Capacity of an Orderless Box Discretization Network for Multi-orientation Scene Text Detection. International Journal of Computer Vision, 129(6), 1972-1992.
2021 Pang, G., Shen, C., Cao, L., & Hengel, A. V. D. (2021). Deep Learning for Anomaly Detection: A Review. ACM Computing Surveys, 54(2), 38 pages.
Scopus2 WoS12021 Wang, W., Xie, E., Li, X., Liu, X., Liang, D., Zhibo, Y., . . . Shen, C. (2021). PAN++: Towards Efficient and Accurate End-to-End Spotting of Arbitrarily-Shaped Text. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1.
2021 Wei, X. S., Ye, H. J., Mu, X., Wu, J., Shen, C., & Zhou, Z. H. (2021). Multi-Instance Learning with Emerging Novel Class. IEEE Transactions on Knowledge and Data Engineering, 33(5), 2109-2120.
Scopus2 WoS22021 Dai, Y., Lu, H., & Shen, C. (2021). Towards Light-Weight Portrait Matting via Parameter Sharing. Computer Graphics Forum, 40(1), 151-164.
2021 Dong, G., Yan, Y., Shen, C., & Wang, H. (2021). Real-Time High-Performance Semantic Image Segmentation of Urban Street Scenes. IEEE Transactions on Intelligent Transportation Systems, 22(6), 3258-3274.
2021 Zhang, L., Shi, Z., Zhou, J. T., Cheng, M. M., Liu, Y., Bian, J. W., . . . Shen, C. (2021). Ordered or Orderless: A Revisit for Video Based Person Re-Identification. IEEE Transactions on Pattern Analysis and Machine Intelligence, 43(4), 1460-1466.
Scopus2 WoS42020 Liu, L., Cao, Z., Lu, H., Xiong, H., & Shen, C. (2020). NSSNet: Scale-Aware Object Counting With Non-Scale Suppression. IEEE Transactions on Intelligent Transportation Systems, 1-12.
2020 Liu, L., Lu, H., Xiong, H., Xian, K., Cao, Z., & Shen, C. (2020). Counting objects by blockwise classification. IEEE Transactions on Circuits and Systems for Video Technology, 30(10), 3513-3527.
Scopus2 WoS22020 Zhang, L., Wang, P., Li, H., Li, Z., Shen, C., & Zhang, Y. (2020). A Robust Attentional Framework for License Plate Recognition in the Wild. IEEE Transactions on Intelligent Transportation Systems, 1-10.
2020 Wang, X., Shen, C., Li, H., & Xu, S. (2020). Human Detection Aided by Deeply Learned Semantic Masks. IEEE Transactions on Circuits and Systems for Video Technology, 30(8), 2663-2673.
2020 Cao, Y., Zhao, T., Xian, K., Shen, C., Cao, Z., & Xu, S. (2020). Monocular Depth Estimation with Augmented Ordinal Depth Relationships. IEEE Transactions on Circuits and Systems for Video Technology, 30(8), 2674-2682.
2020 Wang, X., Yin, W., Kong, T., Jiang, Y., Li, L., & Shen, C. (2020). Task-aware monocular depth estimation for 3D object detection. AAAI 2020 - 34th AAAI Conference on Artificial Intelligence, 12257-12264.
Scopus12020 Zhang, L., Wang, P., Liu, L., Shen, C., Wei, W., Zhang, Y., & van den Hengel, A. (2020). Towards Effective Deep Embedding for Zero-Shot Learning. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 30(9), 2843-2852.
Scopus12020 Zhao, Y., Shen, C., Wang, H., & Chen, S. (2020). Structural Analysis of Attributes for Vehicle Re-Identification and Retrieval. IEEE Transactions on Intelligent Transportation Systems, 21(2), 723-734.
Scopus8 WoS62020 Liu, W., Zhang, P., Huang, X., Yang, J., Shen, C., & Reid, I. (2020). Real-time image smoothing via iterative least squares. ACM Transactions on Graphics, 39(3), 28-1-28-24.
Scopus1 WoS12020 Xie, Y., Zhang, J., Xia, Y., & Shen, C. (2020). A Mutual Bootstrapping Model for Automated Skin Lesion Segmentation and Classification. IEEE Transactions on Medical Imaging, 39(7), 2482-2493.
Scopus23 WoS17 Europe PMC62020 Liu, L., Lu, H., Zou, H., Xiong, H., Cao, Z., & Shen, C. (2020). Weighing Counts: Sequential Crowd Counting by Reinforcement Learning. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12355 LNCS, 164-181.
2020 Lin, G., Liu, F., Milan, A., Shen, C., & Reid, I. (2020). RefineNet: multi-path refinement networks for dense prediction. IEEE Transactions on Pattern Analysis and Machine Intelligence, 42(5), 1228-1242.
Scopus9 WoS5 Europe PMC22020 Gong, D., Zhang, Z., Shi, Q., van den Hengel, A., Shen, C., & Zhang, Y. (2020). Learning deep gradient descent optimization for image deconvolution. IEEE Transactions on Neural Networks and Learning Systems, 31(12), 5468-5482.
Scopus5 WoS22020 Zhao, Y., Liu, Y., Shen, C., Gao, Y., & Xiong, S. (2020). MobileFAN: transferring deep hidden representation for face alignment. Pattern Recognition, 100, 10 pages.
Scopus5 WoS42020 Zhang, P., Liu, W., Wang, D., Lei, Y., Wang, H., Shen, C., & Lu, H. (2020). Non-rigid object tracking via deep multi-scale spatial-temporal discriminative saliency maps. Pattern Recognition, 100, 14 pages.
Scopus42020 Wang, X., Kong, T., Shen, C., Jiang, Y., & Li, L. (2020). SOLO: Segmenting Objects by Locations. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12363 LNCS, 649-665.
Scopus32020 Zhang, L., Wei, W., Shi, Q., Shen, C., van den Hengel, A., & Zhang, Y. (2020). Accurate tensor completion via adaptive low-rank representation. IEEE Transactions on Neural Networks and Learning Systems, 31(1), 4170-4184.
Scopus1 WoS12020 Liu, W., Zhang, P., Chen, X., Shen, C., Huang, X., & Yang, J. (2020). Embedding Bilateral Filter in Least Squares for Efficient Edge-preserving Image Smoothing. IEEE Transactions on Circuits and Systems for Video Technology, 30(1), 23-35.
Scopus12020 Zhuang, B., Liu, L., Tan, M., Shen, C., & Reid, I. (2020). Training quantized neural networks with a full-precision auxiliary module. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1485-1494.
Scopus2 WoS12020 Zhang, H., Li, Y., Chen, H., & Shen, C. (2020). Memory-efficient hierarchical neural architecture search for image denoising. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 3654-3663.
Scopus12020 Zhang, X., Zhang, R., Cao, J., Gong, D., You, M., & Shen, C. (2020). Part-Guided Attention Learning for Vehicle Instance Retrieval. IEEE Transactions on Intelligent Transportation Systems, 1-13.
2020 Nekrasov, V., Chen, H., Shen, C., & Reid, I. D. (2020). Architecture search of dynamic cells for semantic video segmentation. CoRR, abs/1904.02371, 1959-1968.
Scopus22020 Zhang, L., Wang, P., Shen, C., Liu, L., Wei, W., Zhang, Y., & van den Hengel, A. (2020). Adaptive importance learning for improving lightweight image super-resolution network. International Journal of Computer Vision, 128(2), 479-499.
Scopus8 WoS82020 Chen, Y., Shen, C., Chen, H., Wei, X., Liu, L., & Yang, J. (2020). Adversarial learning of structure-aware fully convolutional networks for landmark localization. IEEE Transactions on Pattern Analysis and Machine Intelligence, 42(7), 1654-1669.
Scopus6 WoS3 Europe PMC12019 Li, H., Wang, P., & Shen, C. (2019). Toward End-to-End Car License Plate Detection and Recognition With Deep Neural Networks. IEEE Transactions on Intelligent Transportation Systems, 20(3), 1126-1136.
Scopus71 WoS462019 Wei, X., Zhang, C., Wu, J., Shen, C., & Zhou, Z. (2019). Unsupervised object discovery and co-localization by deep descriptor transformation. Pattern Recognition, 88, 113-126.
Scopus14 WoS102019 Wu, Z., Shen, C., & van den Hengel, A. (2019). Wider or Deeper: Revisiting the ResNet Model for Visual Recognition. Pattern Recognition, 90, 119-133.
Scopus189 WoS1232019 Wang, P., Liu, L., Shen, C., & Shen, H. (2019). Order-aware convolutional pooling for video based action recognition. Pattern Recognition, 91, 357-365.
Scopus8 WoS82019 Liu, H., Ji, R., Wang, J., & Shen, C. (2019). Ordinal constraint binary coding for approximate nearest neighbor search. IEEE Transactions on Pattern Analysis and Machine Intelligence, 41(4), 941-955.
Scopus18 WoS152019 Zhang, L., Wang, P., Wei, W., Lu, H., Shen, C., van den Hengel, A., & Zhang, Y. (2019). Unsupervised domain adaptation using robust class-wise matching. IEEE Transactions on Circuits and Systems for Video Technology, 29(5), 1339-1349.
Scopus11 WoS72019 Yao, R., Lin, G., Shen, C., Zhang, Y., & Shi, Q. (2019). Semantics-Aware Visual Object Tracking. IEEE Transactions on Circuits and Systems for Video Technology, 29(6), 1687-1700.
Scopus7 WoS52019 Zhang, H., Li, Y., Jiang, Y., Wang, P., Shen, Q., & Shen, C. (2019). Hyperspectral classification based on lightweight 3-D-CNN with transfer learning. IEEE Transactions on Geoscience and Remote Sensing, 57(8), 5813-5828.
Scopus34 WoS262019 Wei, X., Wang, P., Liu, L., Shen, C., & Wu, J. (2019). Piecewise Classifier Mappings: Learning Fine-Grained Learners for Novel Categories with Few Examples. IEEE Transactions on Image Processing, 28(12), 6116-6125.
Scopus19 WoS82019 Zhang, J., Xie, Y., Xia, Y., & Shen, C. (2019). Attention residual learning for skin lesion classification. IEEE Transactions on Medical Imaging, 38(9), 2092-2103.
Scopus83 WoS562019 Zhang, L., Wei, W., Shi, Q., Shen, C., van den Hengel, A., & Zhang, Y. (2019). Accurate imagery recovery using a multi-observation patch model. Information Sciences, 501, 724-741.
2019 Zhang, P., Liu, W., Lu, H., & Shen, C. (2019). Salient object detection with lossless feature reflection and weighted structural loss. IEEE Transactions on Image Processing, 28(6), 3048-3060.
Scopus24 WoS192019 Zhang, J., Wu, Q., Zhang, J., Shen, C., Lu, J., & Wu, Q. (2019). Heritage image annotation via collective knowledge. Pattern Recognition, 93, 204-214.
Scopus2 WoS22019 Yan, Y., Huang, Y., Chen, S., Shen, C., & Wang, H. (2019). Joint Deep Learning of Facial Expression Synthesis and Recognition. IEEE Transactions on Multimedia, 22(11), 2792-2807.
Scopus1 WoS12019 Peng, X., Zhu, H., Feng, J., Shen, C., Zhang, H., & Zhou, J. T. (2019). Deep Clustering With Sample-Assignment Invariance Prior.. IEEE transactions on neural networks and learning systems, 31(11), 4857-4868.
Scopus37 WoS31 Europe PMC32019 Xiong, H., Cao, Z., Lu, H., Madec, S., Liu, L., & Shen, C. (2019). TasselNetv2: in-field counting of wheat spikes with context-augmented local regression networks. Plant Methods, 15(1), 150-1-150-14.
Scopus9 WoS5 Europe PMC12019 Nekrasov, V., Shen, C., & Reid, I. (2019). Light-weight refinenet for real-time semantic segmentation. British Machine Vision Conference 2018, BMVC 2018, abs/1810.03272.
Scopus192019 Zhang, T., Lin, G., Cai, J., Shen, T., Shen, C., & Kot, A. (2019). Decoupled Spatial Neural Attention for Weakly Supervised Semantic Segmentation. IEEE Transactions on Multimedia, 21(11), 2930-2941.
Scopus13 WoS92018 Liu, F., Lin, G., Qiao, R., & Shen, C. (2018). Structured Learning of Tree Potentials in CRF for Image Segmentation. IEEE Transactions on Neural Networks and Learning Systems, 29(6), 2631-2637.
Scopus9 WoS102018 Wei, X., Xie, C., Wu, J., & Shen, C. (2018). Mask-CNN: Localizing parts and selecting descriptors for fine-grained bird species categorization. Pattern Recognition, 76, 704-714.
Scopus79 WoS492018 Guo, G., Wang, H., Shen, C., Yan, Y., & Liao, H. (2018). Automatic image cropping for visual aesthetic enhancement using deep neural networks and cascaded regression. IEEE Transactions on Multimedia, 20(8), 2073-2085.
Scopus17 WoS152018 You, M., Zhang, Y., Shen, C., & Zhang, X. (2018). An Extended Filtered Channel Framework for Pedestrian Detection. IEEE Transactions on Intelligent Transportation Systems, 19(5), 1640-1651.
Scopus12 WoS92018 Zhang, J., Wu, Q., Shen, C., Zhang, J., & Lu, J. (2018). Multilabel image classification with regional latent semantic dependencies. IEEE Transactions on Multimedia, 20(10), 2801-2813.
Scopus49 WoS322018 Zhang, L., Wei, W., Zhang, Y., Shen, C., van den Hengel, A., & Shi, Q. (2018). Cluster sparsity field: an internal hyperspectral imagery prior for reconstruction. International Journal of Computer Vision, 126(8), 797-821.
Scopus49 WoS622018 Li, H., Wang, P., You, M., & Shen, C. (2018). Reading car license plates using deep neural networks. Image and Vision Computing, 72, 14-23.
Scopus51 WoS282018 Lu, H., Shen, C., Cao, Z., Xiao, Y., & Van Den Hengel, A. (2018). An embarrassingly simple approach to visual domain adaptation. IEEE Transactions on Image Processing, 27(7), 3403-3417.
Scopus40 WoS33 Europe PMC22018 Zhuang, N., Yan, Y., Chen, S., Wang, H., & Shen, C. (2018). Multi-label learning based deep transfer neural network for facial attribute classification. Pattern Recognition, 80, 225-240.
Scopus37 WoS282018 Wu, Q., Shen, C., Wang, P., Dick, A., & van den Hengel, A. (2018). Image captioning and visual question answering based on attributes and external knowledge. IEEE Transactions on Pattern Analysis and Machine Intelligence, 40(6), 1367-1381.
Scopus119 WoS77 Europe PMC12018 Cao, Y., Wu, Z., & Shen, C. (2018). Estimating Depth from Monocular Images as Classification Using Deep Fully Convolutional Residual Networks. IEEE Transactions on Circuits and Systems for Video Technology, 28(11), 3174-3182.
Scopus89 WoS1042018 Sheng, B., Shen, C., Lin, G., Li, J., Yang, W., & Sun, C. (2018). Crowd counting via weighted VLAD on a dense attribute feature map. IEEE Transactions on Circuits and Systems for Video Technology, 28(8), 1788-1797.
Scopus37 WoS172018 Nekrasov, V., Shen, C., & Reid, I. D. (2018). Diagnostics in semantic segmentation. CoRR, abs/1809.10328, 1-16. 2018 Cao, Y., Zhao, T., Xian, K., Shen, C., Cao, Z., & Xu, S. (2018). Monocular Depth Estimation with Augmented Ordinal Depth Relationships. IEEE Transactions on Image Processing, 1.
Scopus12018 Hu, Q., Wang, P., Shen, C., Van Den Hengel, A., & Porikli, F. (2018). Pushing the limits of deep CNNs for pedestrian detection. IEEE Transactions on Circuits and Systems for Video Technology, 28(6), 1358-1368.
Scopus37 WoS322017 Cao, Y., Shen, C., & Shen, H. (2017). Exploiting depth from single monocular images for object detection and semantic segmentation. IEEE Transactions on Image Processing, 26(2), 836-846.
Scopus31 WoS24 Europe PMC22017 Hu, Q., Wang, H., Li, T., & Shen, C. (2017). Deep CNNs with spatially weighted pooling for fine-grained car recognition. IEEE Transactions on Intelligent Transportation Systems, 18(11), 3147-3156.
Scopus47 WoS342017 Liu, L., Wang, P., Shen, C., Wang, L., Van Den Hengel, A., Wang, C., & Shen, H. (2017). Compositional model based Fisher vector coding for image classification. IEEE Transactions on Pattern Analysis and Machine Intelligence, 39(12), 2335-2348.
Scopus27 WoS18 Europe PMC22017 Wu, L., Chunhua, S., & Van Den Hengel, A. (2017). Deep linear discriminant analysis on fisher networks: a hybrid architecture for person re-identification. Pattern Recognition, 65, 238-250.
Scopus126 WoS1052017 Wang, P., Shen, C., Van Den Hengel, A., & Torr, P. (2017). Large-scale binary quadratic optimization using semidefinite relaxation and applications. IEEE Transactions on Pattern Analysis and Machine Intelligence, 39(3), 470-485.
Scopus16 WoS152017 Paisitkriangkrai, S., Wu, L., Shen, C., & van den Hengel, A. (2017). Structured learning of metric ensembles with application to person re-identification. Computer Vision and Image Understanding, 156, 51-65.
Scopus8 WoS52017 Lin, G., Liu, F., Shen, C., Wu, J., & Shen, H. (2017). Structured learning of binary codes with column generation for optimizing ranking measures. International Journal of Computer Vision, 123(2), 287-308.
Scopus6 WoS52017 Qiao, R., Liu, L., Shen, C., & van den Hengel, A. (2017). Learning discriminative trajectorylet detector sets for accurate skeleton-based action recognition. Pattern Recognition, 66, 202-212.
Scopus36 WoS292017 Wu, Q., Teney, D., Wang, P., Shen, C., Dick, A., & van den Hengel, A. (2017). Visual question answering: a survey of methods and datasets. Computer Vision and Image Understanding, 163, 21-40.
Scopus101 WoS612017 Li, Y., Liu, L., Shen, C., & Hengel, A. (2017). Mining Mid-level Visual Patterns with Deep CNN Activations. International Journal of Computer Vision, 121(3), 344-364.
Scopus21 WoS162017 Wang, P., Wu, Q., Shen, C., Dick, A., & Van Den Hengel, A. (2017). FVQA: fact-based Visual Question Answering. IEEE Transactions on Pattern Analysis and Machine Intelligence, 40(10), 2413-2427.
Scopus59 WoS36 Europe PMC22017 Lu, H., Cao, Z., Xiao, Y., Zhuang, B., & Shen, C. (2017). TasselNet: Counting maize tassels in the wild via local counts regression network. Plant Methods, 13(1), 17 pages.
Scopus55 WoS42 Europe PMC62017 Yao, R., Shi, Q., Shen, C., Zhang, Y., & Van Den Hengel, A. (2017). Part-based robust tracking using online latent structured learning. IEEE Transactions on Circuits and Systems for Video Technology, 27(6), 1235-1248.
Scopus11 WoS102017 Liu, F., Lin, G., & Shen, C. (2017). Discriminative training of deep fully connected continuous CRFs with task-specific loss. IEEE Transactions on Image Processing, 26(5), 2127-2136.
Scopus8 WoS8 Europe PMC12017 Li, Y., Li, W., & Shen, C. (2017). Removal of optically thick clouds from high-resolution satellite imagery using dictionary group learning and interdictionary nonlocal joint sparse coding. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 10(5), 1870-1882.
Scopus11 WoS102016 Wang, P., Cao, Y., Shen, C., Liu, L., & Shen, H. (2016). Temporal pyramid pooling based convolutional neural network for action recognition. IEEE Transactions on Circuits and Systems for Video Technology, 27(99), 1-8.
Scopus59 WoS532016 Liu, F., Shen, C., Reid, I., & Van Den Hengel, A. (2016). Online unsupervised feature learning for visual tracking. Image and Vision Computing, 51, 84-94.
Scopus11 WoS102016 Paisitkriangkrai, S., Shen, C., & Van Den Hengel, A. (2016). Pedestrian detection with spatially pooled features and structured ensemble learning. IEEE Transactions on Pattern Analysis and Machine Intelligence, 38(6), 1243-1257.
Scopus81 WoS64 Europe PMC42016 Wang, S., Lu, J., Gu, X., Shen, C., Xia, R., & Yang, J. (2016). Canonical principal angles correlation analysis for two-view data. Journal of Visual Communication and Image Representation, 35, 209-219.
Scopus7 WoS82016 Li, H., Shen, F., Shen, C., Yang, Y., & Gao, Y. (2016). Face recognition using linear representation ensembles. Pattern Recognition, 59, 72-87.
Scopus17 WoS122016 Shen, F., Shen, C., Zhou, X., Yang, Y., & Shen, H. (2016). Face image classification by pooling raw features. Pattern Recognition, 54, 94-103.
Scopus42 WoS312016 Liu, L., Wang, L., & Shen, C. (2016). A generalized probabilistic framework for compact codebook creation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 38(2), 224-237.
Scopus3 WoS22016 Hu, Q., Paisitkriangkrai, S., Shen, C., Van Den Hengel, A., & Porikli, F. (2016). Fast detection of multiple objects in traffic scenes with a common detection framework. IEEE Transactions on Intelligent Transportation Systems, 17(4), 1002-1014.
Scopus54 WoS372016 Li, X., Shen, C., Dick, A., Zhang, Z., & Zhuang, Y. (2016). Online metric-weighted linear representations for robust visual tracking. IEEE Transactions on Pattern Analysis and Machine Intelligence, 38(5), 931-950.
Scopus18 WoS162016 Liu, L., Shen, C., & van den Hengel, A. (2016). Cross-convolutional-layer pooling for image recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence, 39(11), 2305-2313.
Scopus41 WoS35 Europe PMC42016 Lin, G., Shen, C., Hengel, A., & Reid, I. (2016). Exploring context with deep structured models for semantic segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 40(6), 1352-1366.
Scopus39 WoS34 Europe PMC22016 Zhao, X., Li, X., Zhang, Z., Shen, C., Zhuang, Y., Gao, L., & Li, X. (2016). Scalable linear visual feature learning via online parallel nonnegative matrix factorization. IEEE Transactions on Neural Networks and Learning Systems, 27(12), 2628-2642.
Scopus9 WoS92016 Zhang, L., Wei, W., Zhang, Y., Shen, C., Van Den Hengel, A., & Shi, Q. (2016). Dictionary learning for promoting structured sparsity in hyperspectral compressive sensing. IEEE Transactions on Geoscience and Remote Sensing, 54(12), 7223-7235.
Scopus35 WoS312016 Liu, F., Shen, C., Lin, G., & Reid, I. (2016). Learning depth from single monocular images using deep convolutional neural fields. IEEE Transactions on Pattern Analysis and Machine Intelligence, 38(10), 2024-2039.
Scopus523 WoS384 Europe PMC222016 Wang, P., Shen, C., van den Hengel, A., & Torr, P. (2016). Efficient semidefinite branch-and-cut for MAP-MRF inference. International Journal of Computer Vision, 117(3), 269-289.
Scopus2 WoS12016 Zhang, C., Shen, C., & Shen, T. (2016). Unsupervised Feature Learning for Dense Correspondences Across Scenes. International Journal of Computer Vision, 116(1), 90-107.
Scopus4 WoS42015 Harandi, M., Hartley, R., Shen, C., Lovell, B., & Sanderson, C. (2015). Extrinsic methods for coding and dictionary learning on Grassmann manifolds. International Journal of Computer Vision, 114(2-3), 113-136.
Scopus47 WoS432015 Luo, L., Shen, C., Liu, X., & Zhang, C. (2015). A computational model of the short-cut rule for 2D shape decomposition. IEEE Transactions on Image Processing, 24(1), 273-283.
Scopus13 WoS142015 Li, H., Shen, C., Van Den Hengel, A., & Shi, Q. (2015). Worst case linear discriminant analysis as scalable semidefinite feasibility problems. IEEE Transactions on Image Processing, 24(8), 2382-2392.
Scopus6 WoS52015 Lin, G., Shen, C., & van den Hengel, A. (2015). Supervised hashing using graph cuts and boosted decision trees. IEEE Transactions on Pattern Analysis and Machine Intelligence, 37(11), 2317-2331.
Scopus59 WoS52 Europe PMC62015 Shen, F., Shen, C., Shi, Q., Van Den Hengel, A., Tang, Z., & Shen, H. (2015). Hashing on nonlinear manifolds. IEEE Transactions on Image Processing, 24(6), 1839-1851.
Scopus114 WoS100 Europe PMC132015 Liu, F., Lin, G., & Shen, C. (2015). CRF learning with CNN features for image segmentation. Pattern Recognition, 48(10), 2983-2992.
Scopus133 WoS1072014 Shen, C., Lin, G., & van den Hengel, A. (2014). StructBoost: boosting methods for predicting structured output variables. IEEE Transactions on Pattern Analysis and Machine Intelligence, 36(10), 2089-2103.
Scopus11 WoS5 Europe PMC22014 Wang, L., Zhou, L., Shen, C., Liu, L., & Liu, H. (2014). A hierarchical word-merging algorithm with class separability measure. IEEE Transactions on Pattern Analysis and Machine Intelligence, 36(3), 417-435.
Scopus13 WoS9 Europe PMC12014 Paisitkriangkrai, S., Shen, C., & Van Den Hengel, A. (2014). Large-margin learning of compact binary image encodings. IEEE Transactions on Image Processing, 23(9), 4041-4054.
Scopus1 WoS1 Europe PMC12014 Shen, C., Kim, J., Liu, F., Wang, L., & van den Hengel, A. (2014). Efficient dual approach to distance metric learning. IEEE Transactions on Neural Networks and Learning Systems, 25(2), 394-406.
Scopus27 WoS23 Europe PMC62014 Lu, Y., Wang, L., Lu, J., Yang, J., & Shen, C. (2014). Multiple kernel clustering based on centered kernel alignment. Pattern Recognition, 47(11), 3656-3664.
Scopus60 WoS432014 Paisitkriangkrai, S., Shen, C., & van den Hengel, A. (2014). Asymmetric pruning for learning cascade detectors. IEEE Transactions on Multimedia, 16(5), 1254-1267.
Scopus4 WoS22014 Yan, Y., Wang, H., & Shen, C. (2014). Efficient semidefinite spectral clustering via lagrange duality. IEEE Transactions on Image Processing, 23(8), 3522-3534.
Scopus9 WoS82014 Liu, F., Zhou, L., Shen, C., & Yin, J. (2014). Multiple kernel learning in the primal for multimodal Alzheimer's disease classification. IEEE Journal of Biomedical and Health Informatics, 18(3), 984-990.
Scopus76 WoS57 Europe PMC272014 Paisitkriangkrai, S., Shen, C., Shi, Q., & van den Hengel, A. (2014). RandomBoost: simplified multiclass boosting through randomization. IEEE Transactions on Neural Networks and Learning Systems, 25(4), 764-779.
Scopus6 WoS7 Europe PMC12014 Li, Y., Jia, W., Shen, C., & van den Hengel, A. (2014). Characterness: an indicator of text in the wild. IEEE Transactions on Image Processing, 23(4), 1666-1677.
Scopus71 WoS60 Europe PMC52014 Shen, F., Shen, C., Hill, R., Van Den Hengel, A., & Tang, Z. (2014). Fast approximate L∞ minimization: speeding up robust regression. Computational Statistics & Data Analysis, 77, 25-37.
Scopus12 WoS112014 Paisitkriangkrai, S., Shen, C., & Van Den Hengel, A. (2014). A scalable stagewise approach to large-margin multiclass loss-based boosting. IEEE Transactions on Neural Networks and Learning Systems, 25(5), 1002-1013.
Scopus8 WoS9 Europe PMC22013 Li, X., Dick, A., Shen, C., Van Den Hengel, A., & Wang, H. (2013). Incremental learning of 3D-DCT compact representations for robust visual tracking. IEEE Transactions on Pattern Analysis and Machine Intelligence, 35(4), 863-881.
Scopus76 WoS62 Europe PMC62013 Luo, L., Shen, C., Zhang, C., & Van Den Hengel, A. (2013). Shape similarity analysis by self-tuning locally constrained mixed-diffusion. IEEE Transactions on Multimedia, 15(5), 1174-1183.
Scopus21 WoS202013 Shen, C., Li, H., & Van Den Hengel, A. (2013). Fully corrective boosting with arbitrary loss and regularization. Neural Networks, 48, 44-58.
Scopus7 WoS6 Europe PMC22013 Li, X., Dick, A., Shen, C., Zhang, Z., Van Den Hengel, A., & Wang, H. (2013). Visual tracking with spatio-temporal Dempster-Shafer information fusion. IEEE Transactions on Image Processing, 22(8), 3028-3040.
Scopus28 WoS29 Europe PMC42013 Shen, F., Shen, C., Van Den Hengel, A., & Tang, Z. (2013). Approximate least trimmed sum of squares fitting and applications in image analysis. IEEE Transactions on Image Processing, 22(5), 1836-1847.
Scopus26 WoS192013 Li, X., Hu, W., Shen, C., Dick, A., & Zhang, Z. (2013). Context-aware hypergraph construction for robust spectral clustering. IEEE Transactions on Knowledge & Data Engineering, 26(10), 1-9.
Scopus31 WoS302013 Li, X., Hu, W., Shen, C., Zhang, Z., Dick, A., & Van Den Hengel, A. (2013). A survey of appearance models in visual object tracking. ACM Transactions on Intelligent Systems and Technology, 4(58), 1-48.
Scopus561 WoS5062013 Shen, C., Wang, P., Paisitkriangkrai, S., & Van Den Hengel, A. (2013). Training effective node classifiers for cascade classification. International Journal of Computer Vision, 103(3), 326-347.
Scopus26 WoS212012 Shen, C., Kim, J., Wang, L., & Van Den Hengel, A. (2012). Positive semidefinite metric learning using boosting-like algorithms. Journal of Machine Learning Research (Print), 13(0), 1007-1036.
Scopus67 WoS522012 Wang, P., Shen, C., Barnes, N., & Zheng, H. (2012). Fast and robust object detection using asymmetric totally-corrective boosting. IEEE Transactions on Neural Networks and Learning Systems, 23(1), 33-46.
Scopus30 WoS27 Europe PMC122012 Shen, C., Wang, P., Shen, F., & Wang, H. (2012). UBoost: Boosting with the Universum. IEEE Transactions on Pattern Analysis and Machine Intelligence, 34(4), 825-832.
Scopus38 WoS34 Europe PMC12011 Shen, C., Paisitkriangkrai, S., & Zhang, J. (2011). Efficiently learning a detection cascade with sparse eigenvectors. IEEE Transactions on Image Processing, 20(1), 22-35.
Scopus25 WoS20 Europe PMC32011 Paisitkriangkrai, S., Shen, C., & Zhang, J. (2011). Incremental training of a detector using online sparse eigendecomposition. IEEE Transactions on Image Processing, 20(1), 213-226.
Scopus13 WoS9 Europe PMC22010 Shen, C., Kim, J., & Wang, H. (2010). Generalized kernel-based visual tracking. IEEE Transactions on Circuits and Systems for Video Technology, 20(1), 119-130.
Scopus80 WoS642010 Shen, C. (2010). On the dual formulation of boosting algorithms. IEEE Transactions on Pattern Analysis and Machine Intelligence, 32(12), 2216-2231.
Scopus672010 Shen, C., & Li, H. (2010). Boosting through optimization of margin distributions. IEEE Transactions on Neural Networks, 21(4), 659-666.
Scopus49 Europe PMC112010 Shen, C., Kim, J., & Wang, L. (2010). Scalable large-margin Mahalanobis distance metric learning. IEEE Transactions on Neural Networks, 21(9), 1524-1530.
Scopus51 Europe PMC102010 Zhou, L., Wang, L., & Shen, C. (2010). Feature selection with redundancy-constrained class separability. IEEE Transactions on Neural Networks, 21(5), 853-858.
Scopus47 Europe PMC82010 Li, H., & Shen, C. (2010). Interactive color image segmentation with linear programming. Machine Vision and Applications, 21(4), 403-412.
Scopus112008 Paisitkriangkrai, S., Shen, C., & Zhang, J. (2008). Performance evaluation of local features in human classification and detection. IET Computer Vision, 2(4), 236-246.
Scopus39 WoS322008 Paisitkriangkrai, S., Shen, C., & Zhang, J. (2008). Fast pedestrian detection using a cascade of boosted covariance features. IEEE Transactions on Circuits and Systems for Video Technology, 18(8), 1140-1151.
Scopus1112008 Shen, C., Li, H., & Brooks, M. (2008). Supervised dimensionality reduction via sequential semidefinite programming. Pattern Recognition, 41(12), 3644-3652.
Scopus22 WoS212007 Wang, H., Suter, D., Schindler, K., & Shen, C. (2007). Adaptive object tracking based on an effective appearance filter. IEEE Transactions on Pattern Analysis and Machine Intelligence, 29(9), 1661-1667.
Scopus178 WoS122 Europe PMC142007 Shen, C., Brooks, M., & Van Den Hengel, A. (2007). Fast global kernel density mode seeking: Applications to localization and tracking. IEEE Transactions on Image Processing, 16(5), 1457-1469.
Scopus69 WoS50 Europe PMC52004 Lin, Z., Lu, J., Shen, C., Qiu, X., & Xu, B. (2004). Active control of radiation from a piston set in a rigid sphere. Journal of the Acoustical Society of America, 115(6), 2954-2963.
Scopus16 Europe PMC22003 Lu, J., Shen, C., Qiu, X., & Xu, B. (2003). Lattice form adaptive infinite impulse response filtering algorithm for active noise control. Journal of the Acoustical Society of America, 113(1), 327-335.
Scopus22 Europe PMC2— Yin, W., Liu, Y., & Shen, C. (n.d.). Virtual Normal: Enforcing Geometric Constraints for Accurate and Robust
Depth Prediction.— Zhou, Q., Yu, C., Shen, C., Wang, Z., & Li, H. (n.d.). Object Detection Made Simpler by Eliminating Heuristic NMS. — Tian, Z., Zhang, B., Chen, H., & Shen, C. (n.d.). Instance and Panoptic Segmentation Using Conditional Convolutions. — Yin, W., Zhang, J., Wang, O., Niklaus, S., Mai, L., Chen, S., & Shen, C. (n.d.). Learning to Recover 3D Scene Shape from a Single Image. — Liu, Y., Shen, C., Jin, L., He, T., Chen, P., Liu, C., & Chen, H. (n.d.). ABCNet v2: Adaptive Bezier-Curve Network for Real-time End-to-end Text
Spotting.— Mao, W., Tian, Z., Wang, X., & Shen, C. (n.d.). FCPose: Fully Convolutional Multi-Person Pose Estimation with Dynamic
Instance-Aware Convolutions.— Liu, Y., Chen, H., Chen, Y., Yin, W., & Shen, C. (n.d.). Generic Perceptual Loss for Modeling Structured Output Dependencies. — Mao, W., Ge, Y., Shen, C., Tian, Z., Wang, X., & Wang, Z. (n.d.). TFPose: Direct Human Pose Estimation with Transformers. — Yuan, J., Liu, Y., Shen, C., Wang, Z., & Li, H. (n.d.). A Simple Baseline for Semi-supervised Semantic Segmentation with Strong
Data Augmentation.— Tian, Z., Shen, C., Chen, H., & He, T. (n.d.). FCOS: A simple and strong anchor-free object detector. — Tian, Z., Shen, C., Wang, X., & Chen, H. (n.d.). BoxInst: High-Performance Instance Segmentation with Box Annotations. — Wang, X., Zhang, R., Shen, C., Kong, T., & Li, L. (n.d.). Dense Contrastive Learning for Self-Supervised Visual Pre-Training. — He, T., Shen, C., & Hengel, A. V. D. (n.d.). DyCo3D: Robust Instance Segmentation of 3D Point Clouds through Dynamic
Convolution.— Wang, H., Chen, P., Zhuang, B., & Shen, C. (n.d.). Fully Quantized Image Super-Resolution Networks. — Dai, Y., Lu, H., & Shen, C. (n.d.). Learning Affinity-Aware Upsampling for Deep Image Matting. — Wang, Y., Xu, Z., Wang, X., Shen, C., Cheng, B., Shen, H., & Xia, H. (n.d.). End-to-End Video Instance Segmentation with Transformers. — Chen, H., Shen, C., & Tian, Z. (n.d.). Unifying Instance and Panoptic Segmentation with Dynamic Rank-1
Convolutions.— Zhang, J., Xie, Y., Xia, Y., & Shen, C. (n.d.). DoDNet: Learning to segment multi-organ and tumors from multiple
partially labeled datasets.— Shu, C., Liu, Y., Gao, J., Xu, L., & Shen, C. (n.d.). Channel-wise Distillation for Semantic Segmentation. — Zhuang, B., Liu, L., Shen, C., & Reid, I. (n.d.). Towards Context-aware Interaction Recognition. — Zhuang, B., Shen, C., & Reid, I. (n.d.). Training Compact Neural Networks with Binary Weights and Low Precision
Activations.— Wu, Z., Shen, C., & Hengel, A. V. D. (n.d.). Real-time Semantic Image Segmentation via Spatial Sparsity. — Deng, R., Zhao, T., Shen, C., & Liu, S. (n.d.). Relative Depth Order Estimation Using Multi-scale Densely Connected
Convolutional Networks.— Zhuang, B., Wu, Q., Shen, C., Reid, I., & Hengel, A. V. D. (n.d.). Care about you: towards large-scale human-centric visual relationship
detection.— Qiao, R., Liu, L., Shen, C., & Hengel, A. V. D. (n.d.). Visually Aligned Word Embeddings for Improving Zero-shot Learning. — Liu, W., Chen, X., Shen, C., Yu, J., Wu, Q., & Yang, J. (n.d.). Robust Guided Image Filtering. — Wang, P., Liu, L., Shen, C., Hengel, A. V. D., & Shen, H. T. (n.d.). Hi Detector, What's Wrong with that Object? Identifying Irregular Object
From Images by Modelling the Detection Score Distribution.— Lin, G., Liu, F., Shen, C., Wu, J., & Shen, H. T. (n.d.). Structured Learning of Binary Codes with Column Generation. — Liu, F., & Shen, C. (n.d.). Learning Deep Convolutional Features for MRI Based Alzheimer's Disease
Classification.— Shen, C., & Liu, F. (n.d.). From Kernel Machines to Ensemble Learning. — Shen, F., & Shen, C. (n.d.). Generic Image Classification Approaches Excel on Face Recognition. — Shen, C., Paisitkriangkrai, S., & Hengel, A. V. D. (n.d.). A Direct Approach to Multi-class Boosting and Extensions. — Shen, C., Li, H., & Barnes, N. (n.d.). Totally Corrective Boosting for Regularized Risk Minimization. — Zheng, Y., Shen, C., Hartley, R., & Huang, X. (n.d.). Effective Pedestrian Detection Using Center-symmetric Local
Binary/Trinary Patterns.— Hao, Z., Shen, C., Barnes, N., & Wang, B. (n.d.). Totally Corrective Multiclass Boosting with Binary Weak Learners. — Li, H., Shen, C., & Shi, Q. (n.d.). Real-time Visual Tracking Using Sparse Representation. — Shen, C., Wang, P., & Hengel, A. V. D. (n.d.). Optimally Training a Cascade Classifier. — Wu, L., Shen, C., & Hengel, A. V. D. (n.d.). PersonNet: Person Re-identification with Deep Convolutional Neural
Networks.— Mao, X. -J., Shen, C., & Yang, Y. -B. (n.d.). Image Restoration Using Convolutional Auto-encoders with Symmetric Skip
Connections.— Wu, L., Shen, C., & Hengel, A. V. D. (n.d.). Deep Recurrent Convolutional Networks for Video-based Person
Re-identification: An End-to-End Approach.— Wu, Z., Shen, C., & Hengel, A. V. D. (n.d.). Bridging Category-level and Instance-level Semantic Image Segmentation. — Wu, Z., Shen, C., & Hengel, A. V. D. (n.d.). High-performance Semantic Segmentation Using Very Deep Fully
Convolutional Networks.— Li, H., & Shen, C. (n.d.). Reading Car License Plates Using Deep Convolutional Neural Networks and
LSTMs.— Wang, X., Man, Z., You, M., & Shen, C. (n.d.). Adversarial Generation of Training Examples: Applications to Moving
Vehicle License Plate Recognition.— Cao, J., Liu, L., Wang, P., Huang, Z., Shen, C., & Shen, H. T. (n.d.). Where to Focus: Query Adaptive Matching for Instance Retrieval Using
Convolutional Feature Maps.— Tian, Z., Chen, H., & Shen, C. (n.d.). DirectPose: Direct End-to-End Multi-Person Pose Estimation. — Xiong, H., Lu, H., Liu, C., Liu, L., Shen, C., & Cao, Z. (n.d.). From Open Set to Closed Set: Supervised Spatial Divide-and-Conquer for
Object Counting.— Yin, W., Wang, X., Shen, C., Liu, Y., Tian, Z., Xu, S., . . . Renyin, D. (n.d.). DiverseDepth: Affine-invariant Depth Prediction Using Diverse Data. — Wang, X., Zhang, R., Kong, T., Li, L., & Shen, C. (n.d.). SOLOv2: Dynamic and Fast Instance Segmentation. — Wang, P., Li, H., & Shen, C. (n.d.). Towards End-to-End Text Spotting in Natural Scenes. — Zhang, H., Li, Y., Wang, P., Liu, Y., & Shen, C. (n.d.). RGB-D Based Action Recognition with Light-weight 3D Convolutional
Networks.— Lu, H., Dai, Y., Shen, C., & Xu, S. (n.d.). Index Network. — Zhuang, B., Shen, C., Tan, M., Chen, P., Liu, L., & Reid, I. (n.d.). Structured Binary Neural Networks for Image Recognition. — Zhuang, B., Liu, J., Tan, M., Liu, L., Reid, I., & Shen, C. (n.d.). Effective Training of Convolutional Neural Networks with Low-bitwidth
Weights and Activations. -
Conference Papers
SA State Government through its Research Consortia Program under the Premier’s Research and Industry Fund
- 2018-2022, Unlocking complex resources through lean processing, $8.6m (relinquished Jan. 2021)
Australian Research Council (ARC) Grants:
- 2020-2022 DP, "Deep learning that scales", $390k (relinquished Jan. 2021)
- 2020-2023, "ARC industrial transformation training centre for integrated operations for complex resources", $5.7m (relinquished Jan. 2021)
- 2018-2023, "ARC industrial transformation research hub for driving farming productivity and disease prevention", $8.8m (relinquished Jan. 2021)
- 2019 LIEF, "A world-class machine learning facility for Australia", $700k
- 2016 LIEF, "Computational infrastructure for developing deep machine learning models", $250k
- 2014-2021 ARC Centre of Excellence, "Australian Centre for Robotic Vision", $20m
- 2013 LIEF, "Computational infrastructure for machine learning in computer vision", $210k
- 2013 LP, "Semantic change detection through large-scale learning", $380k
- 2012 LP, "Scalable classification for massive datasets: randomised algorithms", $510k
- 2012-2016 Future Fellowship (step 2), "Continuously learning to see", $650k
- 2010 LIEF, "Accelerating Australia's large scale video surveillance research programmes", $280k
Cooperative Research Centre (CRC) Grants:
- 2017-2019 CRC Project, "Intelligent vision, sensing and data fusion for mining and exploration", $4.6m
CIs: Prof. C. Shen, Prof. Nigel Cook, Dr. Damith Ranasinghe - 2014-2018, Data to Decisions CRC Project Grant, ID: 0001038181, "Large scale image classification", $946k
CIs: Prof. A. van den Hengel, Prof. C. Shen, Dr A. Dick, Dr A. Eriksson, Dr Q. Shi - 2014-2018, Data to Decisions CRC Project Grant, ID: 0001038182, "Exploiting contextual cues in large-scale machine learning", $1.15m
CIs: Prof. A. van den Hengel, Prof. C. Shen, Dr A. Dick, Dr Q. Shi
Cure Brain Cancer Foundation’s Infrastructure Grant:
- 2018-2020, "A national brain-organoid based high-throughput platform for personalised drug and genetic screening in glioblastoma", $400k (with Guillermo Gomez et al.; 1 of the 5 CIs)
Industry Grants:
- 2020 Adobe gift
Sole CI - 2017-2019 UA170942 "Research and development of computer vision and deep learning technologies for the development of a novel intelligent ultrasound cardiothoracic assessment tool", Contracting Party: an Australian start-up company, $605,628
CIs: Prof. A. van den Hengel, Prof. C. Shen - 2017-2018 UA171194 "Research on deep learning for computational photography", Contracting Party: a leading mobile phone manufacturer, US$70k
Sole CI - 2018-2020 UA182751 "Research on basic algorithms in computational photography", Contracting Party: a leading mobile phone manufacturer, $863,038
Sole CI - 2018-2019 UA183176 "Scene understanding via multi-task learning", $246,000
Sole CI
Miscellaneous:
- 2019, "Development of new hydrogels to selectively extract and kill invasive glioblastoma cells from normal brain tissue", Partner Investigator (with Guillermo Gomez et al.)
Grant information on Research Data
Check http://cs.adelaide.edu.au/~chhshen/teaching.html for updated information
| Mining Big Data | Course code: COMPSCI 4403 |
| Introduction to Statistical Machine Learning | Course code: COMPSCI 4401/7401 |
| Algorithm and Data Structure Analysis (Small-Group Discovery Experience) | Course code: COMPSCI 2201 |
| Operating Systems | Course code: COMPSCI 3004NA/7064NA |
| Computer Graphics | Course code: COMPSCI 3014NA |
| Scientific Computing (Small-Group Discovery Experience) | Course code: COMPSCI 1012 |
| Introduction to Statistical Machine Learning | Course code: COMPSCI 7012 |
| Master of Computing and Innovation Project | Course code: COMPSCI 7098 |
| Foundations of Computer Science | Course code: COMPSCI 2202 |
| Computer Vision | Course code: COMPSCI 4022/7022 |
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Current Higher Degree by Research Supervision (University of Adelaide)
Date Role Research Topic Program Degree Type Student Load Student Name 2021 Principal Supervisor Computer Vision Doctor of Philosophy Doctorate Full Time Mr Yongtao Ge 2021 Co-Supervisor Joint Grouping and Labeling is Solved by Using Graphical Models Doctor of Philosophy Doctorate Full Time Miss Jinchao Ge 2020 Principal Supervisor Text Visual Question Answering Doctor of Philosophy Doctorate Full Time Mr Xinyu Wang 2020 Principal Supervisor Total Scene Understanding Using Deep Learning Doctor of Philosophy Doctorate Full Time Mr Yunzhi Zhuge 2020 Principal Supervisor High performance deep learning based object detection Master of Philosophy Master Full Time Mr Bowen Zhang 2020 Principal Supervisor Deep learning for high-performance instance recognition Doctor of Philosophy Doctorate Full Time Mr Xinlong Wang 2020 Principal Supervisor Computer vision, object detection Master of Philosophy Master Full Time Mr Weian Mao 2020 Principal Supervisor Weakly Supervised Semantic Segmentation Doctor of Philosophy Doctorate Full Time Mr Choubo Ding 2019 Co-Supervisor Computer Vision Geometry Deep Learning Doctor of Philosophy Doctorate Full Time Mr Jiawang Bian 2019 Principal Supervisor Semantic 3D Scene Reconstruction Doctor of Philosophy Doctorate Full Time Mr Libo Sun 2018 Principal Supervisor Semantic Understanding Based on 3D Data Doctor of Philosophy Doctorate Full Time Mr Wei Yin 2018 Principal Supervisor Multi-modality Data Analysis Using Deep Learning Doctor of Philosophy Doctorate Full Time Mr Hu Wang 2018 Principal Supervisor Instance Level Object Segmentation in Video using Deep Learning Doctor of Philosophy Doctorate Full Time Ms Yutong Dai 2018 Principal Supervisor High Performance Per Pixel Prediction Using Deep Learning Doctor of Philosophy Doctorate Full Time Ms Yifan Liu -
Past Higher Degree by Research Supervision (University of Adelaide)
Date Role Research Topic Program Degree Type Student Load Student Name 2018 - 2019 Principal Supervisor High-performance Object Detection and Tracking using Deep Learning Master of Philosophy Master Full Time Mr Xinyu Wang 2018 - 2021 Principal Supervisor Fully Convolutional Instance-level Visual Recognition Doctor of Philosophy Doctorate Full Time Mr Zhi Tian 2017 - 2020 Co-Supervisor Semantic Image Segmentation and Other Dense Per-Pixel Tasks: Practical Approaches Doctor of Philosophy Doctorate Full Time Mr Vladimir Nekrasov 2017 - 2021 Principal Supervisor Efficient Fully-Convolutional Networks for Image Perception Doctor of Philosophy Doctorate Full Time Mr Hao Chen 2017 - 2020 Principal Supervisor Efficient Scene Parsing with Imagery and Point Cloud Data Doctor of Philosophy Doctorate Full Time Mr Tong He 2016 - 2020 Co-Supervisor How Geometry Meets Learning in Pose Estimation Doctor of Philosophy Doctorate Full Time Mr Ming Cai 2016 - 2017 Principal Supervisor Deep Learning for Fine-Gained Visual Recognition Master of Philosophy Master Full Time Mr Teng Li 2015 - 2017 Principal Supervisor Sketch Image Recognition Using Deep Features Master of Philosophy Master Full Time Miss Yuchao Jiang 2015 - 2019 Principal Supervisor Context Learning and Weakly Supervised Learning for Semantic Segmentation Doctor of Philosophy Doctorate Full Time Mr Tong Shen 2014 - 2018 Principal Supervisor Text Detection and Recognition in Natural Scene Images Doctor of Philosophy Doctorate Full Time Mrs Hui Li 2014 - 2018 Principal Supervisor Towards Efficient Deep Neural Networks with Applications to Visual Recognition Doctor of Philosophy Doctorate Full Time Dr Bohan Zhuang 2014 - 2017 Principal Supervisor Deep Visual Representation for Weakly-supervised and Structured Output Tasks Doctor of Philosophy Doctorate Full Time Mr Yao Li 2014 - 2016 Principal Supervisor Deep Learning for Multi-label Scene Classification Master of Philosophy Master Full Time Mr Junjie Zhang 2013 - 2017 Principal Supervisor Dynamic Scene Understanding with Applications to Traffic Monitoring Doctor of Philosophy Doctorate Full Time Mr Qichang Hu 2013 - 2018 Principal Supervisor Deep Learning Based RGB-D Vision Tasks Doctor of Philosophy Doctorate Full Time Mr Yuanzhouhan Cao 2013 - 2018 Principal Supervisor Mid-level Representations for Action Recognition and Zero-shot Learning Doctor of Philosophy Doctorate Full Time Mr Ruizhi Qiao 2012 - 2014 Principal Supervisor Structured Output Prediction and Binary Code Learning in Computer Vision Doctor of Philosophy Doctorate Full Time Dr Guosheng Lin 2012 - 2014 Principal Supervisor Hypergraph Modeling for Saliency Detection and Beyond Master of Engineering Science Master Full Time Mr Yao Li 2011 - 2015 Principal Supervisor Learning Structured Prediction Models in Computer Vision Doctor of Philosophy Doctorate Full Time Miss Fayao Liu
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