Chunhua Shen

Chunhua Shen

School of Computer Science

Faculty of Sciences, Engineering and Technology

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 October 2021.

Chunhua Shen is no longer with The University of Adelaide as of Nov. 2021.
He is an Adjunct Professor of Data Science and AI at Faculty of Information Technology, Monash University.

  • Journals
    Year Citation
    2022 Sun, L., Yin, W., Xie, E., Li, Z., Sun, C., & Shen, C. (2022). Improving Monocular Visual Odometry Using Learned Depth. IEEE Transactions on Robotics, 14 pages.
    DOI
    2022 Mei, T., Corso, J. J., Kim, G., Luo, J., Shen, C., & Zhang, H. (2022). Guest Editorial Introduction to the Special Section on Video and Language. IEEE Transactions on Circuits and Systems for Video Technology, 32(1), 1-4.
    DOI
    2022 Cheng, L., Fang, P., Liang, Y., Zhang, L., Shen, C., & Wang, H. (2022). TSGB: Target-Selective Gradient Backprop for Probing CNN Visual Saliency. IEEE Transactions on Image Processing, 31, 2529-2540.
    DOI
    2022 Sai, N., Bockman, J. P., Chen, H., Watson-Haigh, N., Xu, B., Feng, X., . . . Gilliham, M. (2022). SAI: Fast and automated quantification of stomatal parameters on microscope images.
    DOI
    2022 Cai, Y., Liu, Y., Shen, C., Jin, L., Li, Y., & Ergu, D. (2022). Arbitrarily shaped scene text detection with dynamic convolution. Pattern Recognition, 127, 108608-1-108608-11.
    DOI Scopus1
    2022 Zhou, Y., Ji, R., Sun, X., Su, J., Meng, D., Gao, Y., & Shen, C. (2022). Plenty is Plague: Fine-Grained Learning for Visual Question Answering. IEEE Transactions on Pattern Analysis and Machine Intelligence, 44(2), 697-709.
    DOI
    2022 Cui, Y., Guo, D., Shao, Y., Wang, Z., Shen, C., Zhang, L., & Chen, S. (2022). Joint Classification and Regression for Visual Tracking with Fully Convolutional Siamese Networks. International Journal of Computer Vision, 130(2), 550-566.
    DOI Scopus1
    2022 Cao, J., Guo, Y., Wu, Q., Shen, C., Huang, J., & Tan, M. (2022). Improving Generative Adversarial Networks With Local Coordinate Coding. IEEE transactions on pattern analysis and machine intelligence, 44(1), 211-227.
    DOI Scopus4 WoS3
    2022 Xie, Y., Zhang, J., Liao, Z., Verjans, J., Shen, C., & Xia, Y. (2022). Intra- and Inter-Pair Consistency for Semi-Supervised Gland Segmentation. IEEE Transactions on Image Processing, 31, 894-905.
    DOI WoS1
    2022 Lu, H., Dai, Y., Shen, C., & Xu, S. (2022). Index Networks. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 44(1), 242-255.
    DOI Scopus7 WoS12 Europe PMC2
    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.
    DOI Scopus2 WoS2
    2021 Yin, W., Liu, Y., & Shen, C. (2021). Virtual Normal: Enforcing Geometric Constraints for Accurate and Robust Depth Prediction. IEEE Transactions on Pattern Analysis and Machine Intelligence, 13 pages.
    DOI Scopus1
    2021 Bian, J. W., Zhan, H., Wang, N., Chin, T. J., Shen, C., & Reid, I. (2021). Auto-Rectify Network for Unsupervised Indoor Depth Estimation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 12 pages.
    DOI
    2021 Yan, Q., Gong, D., Shi, J. Q., van den Hengel, A., Shen, C., Reid, I., & Zhang, Y. (2021). Dual-attention-guided network for ghost-free high dynamic range imaging. International Journal of Computer Vision, 130(1), 19 pages.
    DOI WoS1
    2019 Teney, D., Wang, P., Cao, J., Liu, L., Shen, C., & Hengel, A. V. D. (2019). V-PROM: A Benchmark for Visual Reasoning Using Visual Progressive Matrices.. CoRR, abs/1907.12271, 12071-12078.
    WoS1
    Mao, W., Ge, Y., Shen, C., Tian, Z., Wang, X., Wang, Z., & Hengel, A. V. D. (n.d.). Poseur: Direct Human Pose Regression with Transformers.
    Dai, Y., Price, B., Zhang, H., & Shen, C. (n.d.). Boosting Robustness of Image Matting with Context Assembling and Strong
    Data Augmentation.
    Xu, G., Yin, W., Chen, H., Shen, C., Cheng, K., Wu, F., & Zhao, F. (n.d.). Towards 3D Scene Reconstruction from Locally Scale-Aligned Monocular
    Video Depth.
    Yin, W., Liu, Y., Shen, C., Hengel, A. V. D., & Sun, B. (n.d.). The devil is in the labels: Semantic segmentation from sentences.
    Chen, P., Zhang, M., Shen, Y., Sheng, K., Gao, Y., Sun, X., . . . Shen, C. (n.d.). Efficient Decoder-free Object Detection with Transformers.
    Ge, Y., Zhou, Q., Wang, X., Shen, C., Wang, Z., & Li, H. (n.d.). Point-Teaching: Weakly Semi-Supervised Object Detection with Point
    Annotations.
    Tian, Z., Chu, X., Wang, X., Wei, X., & Shen, C. (n.d.). Fully Convolutional One-Stage 3D Object Detection on LiDAR Range Images.
    Yin, W., Zhang, J., Wang, O., Niklaus, S., Chen, S., Liu, Y., & Shen, C. (n.d.). Towards Accurate Reconstruction of 3D Scene Shape from A Single
    Monocular Image.

  • Conference Papers
    Year Citation
    2021 He, T., Shen, C., & van den Hengel, A. (2021). DyCO3D: Robust Instance Segmentation of 3D Point Clouds through Dynamic Convolution. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (pp. 354-363). online: IEEE.
    DOI Scopus6 WoS3
    2021 Wang, H., Chen, P., Zhuang, B., & Shen, C. (2021). Fully Quantized Image Super-Resolution Networks. In MM '21: Proceedings of the 29th ACM International Conference on Multimedia (pp. 639-647). New York, USA: ACM.
    DOI Scopus1
    2021 Dai, Y., Lu, H., & Shen, C. (2021). Learning Affinity-Aware Upsampling for Deep Image Matting. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (pp. 6837-6846). online: IEEE COMPUTER SOC.
    DOI Scopus1 WoS2
    2021 Zhang, J., Xie, Y., Xia, Y., & Shen, C. (2021). DoDNet: Learning to Segment Multi-Organ and Tumors from Multiple Partially Labeled Datasets. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (pp. 1195-1204). online: IEEE.
    DOI Scopus9 WoS7
    2021 Shu, C., Liu, Y., Gao, J., Yan, Z., & Shen, C. (2021). Channel-wise Knowledge Distillation for Dense Prediction. In Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision (ICCV) (pp. 5291-5300). online: IEEE.
    DOI Scopus2 WoS1
    2021 Liu, Y., Chen, H., Chen, Y., Yin, W., & Shen, C. (2021). Generic Perceptual Loss for Modeling Structured Output Dependencies. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (pp. 5420-5428). online: IEEE.
    DOI Scopus4
    2021 Yuan, J., Liu, Y., Shen, C., Wang, Z., & Li, H. (2021). A Simple Baseline for Semi-supervised Semantic Segmentation with Strong Data Augmentation. In Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision (ICCV) (pp. 8209-8218). online: IEEE.
    DOI Scopus1
    2021 Zhuge, Y., & Shen, C. (2021). Deep Reasoning Network for Few-shot Semantic Segmentation. In MM 2021 - Proceedings of the 29th ACM International Conference on Multimedia (pp. 5344-5352). New York, USA: ACM.
    DOI
    2021 Pang, G., Van Den Hengel, A., Shen, C., & Cao, L. (2021). Toward Deep Supervised Anomaly Detection: Reinforcement Learning from Partially Labeled Anomaly Data. In Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (pp. 1298-1308). online: ACM.
    DOI Scopus10 WoS5
    2021 Xie, Y., Zhang, J., Shen, C., & Xia, Y. (2021). CoTr: Efficiently Bridging CNN and Transformer for 3D Medical Image Segmentation. In Medical Image Computing and Computer Assisted Intervention – MICCAI 2021 24th International Conference, Strasbourg, France, September 27–October 1, 2021, Proceedings, Part III Vol. 12903 LNCS (pp. 171-180). Switzerland: Springer International Publishing.
    DOI Scopus12 WoS5
    2021 Li, R., Lin, G., He, T., Liu, F., & Shen, C. (2021). HCRF-flow: Scene Flow from Point Clouds with Continuous High-order CRFs and Position-aware Flow Embedding. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (pp. 364-373). online: IEEE.
    DOI Scopus3 WoS3
    2021 Shu, Y., Yan, Y., Chen, S., Xue, J. H., Shen, C., & Wang, H. (2021). Learning spatial-semantic relationship for facial attribute recognition with limited labeled data. In 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (pp. 11911-11920). online: IEEE COMPUTER SOC.
    DOI Scopus1 WoS2
    2021 Ruan, D., Yan, Y., Lai, S., Chai, Z., Shen, C., & Wang, H. (2021). Feature Decomposition and Reconstruction Learning for Effective Facial Expression Recognition. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (pp. 7656-7665). online: IEEE.
    DOI Scopus21 WoS3
    2021 Chen, P., Liu, J., Zhuang, B., Tan, M., & Shen, C. (2021). AQD: Towards Accurate Quantized Object Detection. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (pp. 104-113). online: IEEE.
    DOI Scopus3 WoS3
    2021 Yan, C., Pang, G., Wang, L., Jiao, J., Feng, X., Shen, C., & Li, J. (2021). BV-Person: A Large-scale Dataset for Bird-view Person Re-identification. In Proceedings 2021 IEEE/CVF International Conference on Computer Vision ICCV 2021 (pp. 10923-10932). Los Alamitos, CA, USA: IEEE.
    DOI Scopus2
    2021 Yan, C., Pang, G., Jiao, J., Bai, X., Feng, X., & Shen, C. (2021). Occluded Person Re-Identification with Single-scale Global Representations. In Proceedings of the IEEE International Conference on Computer Vision (pp. 11855-11864). online: IEEE.
    DOI Scopus1
    2021 Chen, P., Zhuang, B., & Shen, C. (2021). FATNN: Fast and Accurate Ternary Neural Networks. In Proceedings 2021 IEEE/CVF International Conference on Computer Vision ICCV 2021 (pp. 5199-5208). Los Alamitos, CA,USA: IEEE.
    DOI
    2021 Zhang, C., Ding, H., Lin, G., Li, R., Wang, C., & Shen, C. (2021). Meta Navigator: Search for a Good Adaptation Policy for Few-shot Learning. In Proceedings 2021 IEEE/CVF International Conference on Computer Vision ICCV 2021 (pp. 9415-9424). Los Alamitos, CA, USA: IEEE.
    DOI Scopus2
    2021 Kong, L., Shen, C., & Yang, J. (2021). FastFlowNet: A Lightweight Network for Fast Optical Flow Estimation. In Proceedings - IEEE International Conference on Robotics and Automation (ICRA) Vol. 2021-May (pp. 10310-10316). Piscataway, New Jersey, United States: IEEE.
    DOI
    2021 Guo, D., Shao, Y., Cui, Y., Wang, Z., Zhang, L., & Shen, C. (2021). Graph Attention Tracking. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (pp. 9538-9547). Piscataway, New Jersey, USA: IEEE.
    DOI Scopus44
    2021 Chu, X., Tian, Z., Wang, Y., Zhang, B., Ren, H., Wei, X., . . . Shen, C. (2021). Twins: Revisiting the Design of Spatial Attention in Vision Transformers. In Advances in Neural Information Processing Systems Vol. 12 (pp. 9355-9366). Virtual only.
    Scopus16

  • Current Higher Degree by Research Supervision (University of Adelaide)
    Date Role Research Topic Program Degree Type Student Load Student Name
    2022 Principal Supervisor Toward efficient 2D human pose estimation with transformer and conditional Convolution Doctor of Philosophy Doctorate Full Time Mr Weian Mao
    2021 Co-Supervisor Towards Accurate Semi-Supervised Semantic Segmentation with Fewer Annotations Doctor of Philosophy Doctorate Full Time Miss Jinchao Ge
    2021 Principal Supervisor Computer Vision Doctor of Philosophy Doctorate Full Time Mr Yongtao Ge
    2021 Co-Supervisor Efficient deep-learning based dynamic neural representational decoders for high-resolution semanticsegmentation Doctor of Philosophy Doctorate Full Time Mr Bowen Zhang
    2021 Principal Supervisor Long-tailed visual recognition in an open world Doctor of Philosophy Doctorate Full Time Mr Qing Zhong
    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 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

  • Past Higher Degree by Research Supervision (University of Adelaide)
    Date Role Research Topic Program Degree Type Student Load Student Name
    2020 - 2022 Principal Supervisor Deep Object Segmentation and Beyond Doctor of Philosophy Doctorate Full Time Mr Xinlong Wang
    2018 - 2021 Principal Supervisor Multi-modality Data Analysis Using Deep Reinforcement Learning Doctor of Philosophy Doctorate Full Time Mr Hu Wang
    2018 - 2019 Principal Supervisor High-performance Object Detection and Tracking using Deep Learning Master of Philosophy Master Full Time Mr Xinyu Wang
    2018 - 2022 Principal Supervisor 3D Scene Reconstruction from A Monocular Image Doctor of Philosophy Doctorate Full Time Mr Wei Yin
    2018 - 2021 Principal Supervisor Fully Convolutional Instance-level Visual Recognition Doctor of Philosophy Doctorate Full Time Mr Zhi Tian
    2018 - 2022 Principal Supervisor Efficient Deep Networks for Image Matting Doctor of Philosophy Doctorate Full Time Ms Yutong Dai
    2018 - 2021 Principal Supervisor Efficient Fully Convolutional Networks for Dense Prediction Tasks Doctor of Philosophy Doctorate Full Time Ms Yifan Liu
    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 - 2020 Principal Supervisor Efficient Scene Parsing with Imagery and Point Cloud Data Doctor of Philosophy Doctorate Full Time Mr Tong He
    2017 - 2021 Principal Supervisor Efficient Fully-Convolutional Networks for Image Perception Doctor of Philosophy Doctorate Full Time Mr Hao Chen
    2016 - 2017 Principal Supervisor Deep Learning for Fine-Gained Visual Recognition Master of Philosophy Master Full Time Mr Teng Li
    2016 - 2020 Co-Supervisor How Geometry Meets Learning in Pose Estimation Doctor of Philosophy Doctorate Full Time Mr Ming Cai
    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 - 2018 Principal Supervisor Deep Learning Based RGB-D Vision Tasks Doctor of Philosophy Doctorate Full Time Mr Yuanzhouhan Cao
    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 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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