Chunhua Shen
School of Computer and Mathematical Sciences
Faculty of Sciences, Engineering and Technology
Eligible to supervise Masters and PhD - email supervisor to discuss availability.
N/A
Chunhua Shen is no longer supervising new HDR students as of Nov. 2021.
He was an Adjunct Professor of Data Science and AI at Faculty of Information Technology, Monash University.
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Journals
Year Citation 2023 Sai, N., Bockman, J. P., Chen, H., Watson-Haigh, N., Xu, B., Feng, X., . . . Gilliham, M. (2023). StomaAI: an efficient and user-friendly tool for measurement of stomatal pores and density using deep computer vision. New Phytologist, 238(2), 904-915.
2023 Wang, X., Zhang, R., Shen, C., & Kong, T. (2023). DenseCL: A simple framework for self-supervised dense visual pre-training. Visual Informatics, 7(1), 30-40.
2023 Liu, Y., Shu, C., Wang, J., & Shen, C. (2023). Structured Knowledge Distillation for Dense Prediction. IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(6), 7035-7049.
Europe PMC22023 Liu, J., Zhuang, B., Chen, P., Shen, C., Cai, J., & Tan, M. (2023). Single-path Bit Sharing for Automatic Loss-aware Model Compression.. IEEE transactions on pattern analysis and machine intelligence, PP, 1-14.
2023 Yan, Y., Shu, Y., Chen, S., Xue, J. H., Shen, C., & Wang, H. (2023). SPL-Net: Spatial-Semantic Patch Learning Network for Facial Attribute Recognition with Limited Labeled Data. International Journal of Computer Vision.
2023 Zhang, C., Cai, Y., Lin, G., & Shen, C. (2023). DeepEMD: Differentiable Earth Mover's Distance for Few-Shot Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(5), 5632-5648.
Scopus52022 Sun, L., Yin, W., Xie, E., Li, Z., Sun, C., & Shen, C. (2022). Improving Monocular Visual Odometry Using Learned Depth. IEEE Transactions on Robotics, 38(5), 3173-3186.
WoS12022 Yin, W., Zhang, J., Wang, O., Niklaus, S., Chen, S., Liu, Y., & Shen, C. (2022). Towards Accurate Reconstruction of 3D Scene Shape from A Single Monocular Image. IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(5), 6480-6494.
WoS12022 Wang, L., Zhang, H., Xiao, Q., Xu, H., Shen, C., & Jin, X. (2022). Effective Eyebrow Matting with Domain Adaptation. Computer Graphics Forum, 41(7), 347-358.
2022 Chen, P., Zhang, M., Shen, Y., Sheng, K., Gao, Y., Sun, X., . . . Shen, C. (2022). Efficient Decoder-Free Object Detection with Transformers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13670 LNCS, 70-86.
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.
2022 Zhao, Y., Yu, X., Gao, Y., & Shen, C. (2022). Learning discriminative region representation for person retrieval. Pattern Recognition, 121, 10 pages.
Scopus10 WoS82022 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.
Scopus4 WoS32022 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.
Scopus5 WoS42022 Lu, H., Dai, Y., Shen, C., & Xu, S. (2022). Index Networks. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 44(1), 242-255.
Scopus13 WoS17 Europe PMC22022 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.
Scopus52022 Ding, C., Pang, G., & Shen, C. (2022). Catching Both Gray and Black Swans: Open-set Supervised Anomaly Detection. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2022-June, 7378-7388.
Scopus22022 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.
2022 Wang, X., Yu, Z., De Mello, S., Kautz, J., Anandkumar, A., Shen, C., & Alvarez, J. M. (2022). FreeSOLO: Learning to Segment Objects without Annotations. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2022-June, 14156-14166.
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.
Scopus2 WoS22022 Dai, Y., Price, B., Zhang, H., & Shen, C. (2022). Boosting Robustness of Image Matting with Context Assembling and Strong Data Augmentation. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2022-June, 11697-11706.
Scopus32022 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.
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.
Scopus52021 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.
Scopus5 WoS52021 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, 44(10), 13 pages.
Scopus3 WoS7 Europe PMC12021 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, 44(12), 12 pages.
Scopus5 WoS32021 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.
Scopus6 WoS72019 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.
WoS2- 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. - Ge, Y., Zhou, Q., Wang, X., Wang, Z., Li, H., & Shen, C. (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. -
Conference Papers
Year Citation 2022 Mao, W., Ge, Y., Shen, C., Tian, Z., Wang, X., Wang, Z., & den Hengel, A. V. (2022). Poseur: Direct Human Pose Regression with Transformers. In S. Avidan, G. Brostow, M. Cisse, G. M. Farinella, & T. Hassner (Eds.), Computer Vision - ECCV 2022. Vol. 13666 LNCS (pp. 72-88). Tel Aviv, Israel: Springer, Cham.
Scopus3 WoS12022 Long, A., Yin, W., Ajanthan, T., Nguyen, V., Purkait, P., Garg, R., . . . Van Den Hengel, A. (2022). Retrieval Augmented Classification for Long-Tail Visual Recognition. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition Vol. 2022-June (pp. 6949-6959). Online: IEEE.
Scopus12022 Gao, Y., Zhuang, J. X., Lin, S., Cheng, H., Sun, X., Li, K., & Shen, C. (2022). DisCo: Remedying Self-supervised Learning on Lightweight Models with Distilled Contrastive Learning. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 13686 LNCS (pp. 237-253). Springer Nature Switzerland.
2022 Zhang, W., Huang, Z., Luo, G., Chen, T., Wang, X., Liu, W., . . . Shen, C. (2022). TopFormer: Token Pyramid Transformer for Mobile Semantic Segmentation. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition Vol. 2022-June (pp. 12073-12083). IEEE.
Scopus182022 Li, R., Zhang, C., Lin, G., Wang, Z., & Shen, C. (2022). RigidFlow: Self-Supervised Scene Flow Learning on Point Clouds by Local Rigidity Prior. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition Vol. 2022-June (pp. 16938-16947). IEEE.
Scopus22022 He, T., Yin, W., Shen, C., & van den Hengel, A. (2022). PointInst3D: Segmenting 3D Instances by Points. In S. Avidan, G. Brostow, M. Cisse, G. M. Farinella, & T. Hassner (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 13663 LNCS (pp. 286-302). Tel Aviv, ISRAEL: SPRINGER INTERNATIONAL PUBLISHING AG.
2022 Peng, D., Wang, X., Liu, Y., Zhang, J., Huang, M., Lai, S., . . . Jin, L. (2022). SPTS: Single-Point Text Spotting. In MM 2022 - Proceedings of the 30th ACM International Conference on Multimedia (pp. 4272-4281). ACM.
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 M. Ranzato (Ed.), Advances in Neural Information Processing Systems 34 Vol. 12 (pp. 9355-9366). Online: Curran Associates, Inc..
Scopus120 WoS22021 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.
Scopus9 WoS72021 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.
Scopus1272021 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.
Scopus14 WoS122021 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.
Scopus14 WoS102021 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.
Scopus48 WoS282021 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.
Scopus10 WoS52021 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.
Scopus32021 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.
Scopus8 WoS52021 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.
Scopus22021 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.
Scopus82021 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.
Scopus19 WoS142021 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.
Scopus62021 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.
Scopus12 WoS82021 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.
Scopus32 WoS252021 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.
Scopus27 WoS122021 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.
Scopus7 WoS32021 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.
Scopus112021 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.
Scopus27 WoS172021 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.
Scopus66 WoS602021 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.
Scopus12020 Teney, D., Wang, P., Cao, J., Liu, L., Shen, C., & Van Den Hengel, A. (2020). V-PROM: A benchmark for visual reasoning using visual progressive matrices. In Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20) Vol. 34 (pp. 12071-12078). Palo Alto, CA: Association for the Advancement of Artificial Intelligence.
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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 Principal Supervisor Computer Vision Doctor of Philosophy Doctorate Full Time Mr Yongtao Ge 2021 Co-Supervisor Towards Accurate Semi-Supervised Semantic Segmentation with Fewer Annotations Doctor of Philosophy Doctorate Full Time Miss Jinchao 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 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 -
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 2020 - 2023 Principal Supervisor Deep Learning for Scene Text Detection, Recognition, and Understanding Doctor of Philosophy Doctorate Full Time Mr Xinyu Wang 2019 - 2022 Principal Supervisor Deep Learning for Robotic Scene Understanding Doctor of Philosophy Doctorate Full Time Mr Libo Sun 2019 - 2022 Co-Supervisor Self-supervised Learning of Monocular Depth from Video Doctor of Philosophy Doctorate Full Time Mr Jiawang Bian 2018 - 2022 Principal Supervisor Efficient Deep Networks for Image Matting Doctor of Philosophy Doctorate Full Time Ms Yutong Dai 2018 - 2022 Principal Supervisor 3D Scene Reconstruction from A Monocular Image Doctor of Philosophy Doctorate Full Time Mr Wei Yin 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 Multi-modality Data Analysis Using Deep Reinforcement Learning Doctor of Philosophy Doctorate Full Time Mr Hu Wang 2018 - 2021 Principal Supervisor Efficient Fully Convolutional Networks for Dense Prediction Tasks Doctor of Philosophy Doctorate Full Time Ms Yifan Liu 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 - 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 - 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 - 2019 Principal Supervisor Context Learning and Weakly Supervised Learning for Semantic Segmentation Doctor of Philosophy Doctorate Full Time Mr Tong Shen 2015 - 2017 Principal Supervisor Sketch Image Recognition Using Deep Features Master of Philosophy Master Full Time Miss Yuchao Jiang 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 2014 - 2018 Principal Supervisor Towards Efficient Deep Neural Networks with Applications to Visual Recognition Doctor of Philosophy Doctorate Full Time Dr Bohan Zhuang 2014 - 2018 Principal Supervisor Text Detection and Recognition in Natural Scene Images Doctor of Philosophy Doctorate Full Time Mrs Hui Li 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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