Chunhua Shen

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.

  • Journals
    Year Citation
    2024 Sun, L., Bian, J. W., Zhan, H., Yin, W., Reid, I., & Shen, C. (2024). SC-DepthV3: Robust Self-Supervised Monocular Depth Estimation for Dynamic Scenes. IEEE Transactions on Pattern Analysis and Machine Intelligence, 46(1), 497-508.
    DOI Scopus1
    2024 Xian, K., Cao, Z., Shen, C., & Lin, G. (2024). Towards Robust Monocular Depth Estimation: A New Baseline and Benchmark. International Journal of Computer Vision.
    DOI
    2024 Zhang, B., Liu, L., Phan, M. H., Tian, Z., Shen, C., & Liu, Y. (2024). SegViT v2: Exploring Efficient and Continual Semantic Segmentation with Plain Vision Transformers. International Journal of Computer Vision, 132(4), 1126-1147.
    DOI
    2023 Zhu, M., Li, H., Chen, H., Fan, C., Mao, W., Jing, C., . . . Shen, C. (2023). SegPrompt: Boosting Open-world Segmentation via Category-level Prompt
    Learning.
    2023 Lin, M., Chen, M., Zhang, Y., Shen, C., Ji, R., & Cao, L. (2023). Super Vision Transformer. International Journal of Computer Vision, 131(12), 3136-3151.
    DOI
    2023 Xie, Y., Zhang, J., Xia, Y., & Shen, C. (2023). Learning From Partially Labeled Data for Multi-Organ and Tumor Segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(12), 14905-14919.
    DOI
    2023 Liu, Y., Zhang, J., Peng, D., Huang, M., Wang, X., Tang, J., . . . Jin, L. (2023). SPTS v2: Single-Point Scene Text Spotting. IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(12), 15665-15679.
    DOI Scopus2 WoS1
    2023 Zhang, S., Sun, X., Chen, H., Li, B., & Shen, C. (2023). RGM: A Robust Generalizable Matching Model.
    2023 Ge, Y., Zhou, Q., Wang, X., Shen, C., Wang, Z., & Li, H. (2023). Point-Teaching: Weakly Semi-supervised Object Detection with Point Annotations. Proceedings of the 37th AAAI Conference on Artificial Intelligence, AAAI 2023, 37, 667-675.
    Scopus4
    2023 Yin, W., Zhang, J., Wang, O., Niklaus, S., Chen, S., Liu, Y., & Shen, C. (2023). Towards Accurate Reconstruction of 3D Scene Shape From A Single Monocular Image. IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(5), 6480-6494.
    DOI Scopus5 WoS2
    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.
    DOI Scopus5 WoS3 Europe PMC2
    2023 Xi, Y., Chen, H., Wang, N., Wang, P., Zhang, Y., Shen, C., & Liu, Y. (2023). A Dynamic Feature Interaction Framework for Multi-task Visual Perception. International Journal of Computer Vision, 131(11), 2977-2993.
    DOI
    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.
    DOI Scopus2
    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.
    DOI Scopus53 WoS47 Europe PMC2
    2023 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, 45(10), 12459-12473.
    DOI Scopus1
    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, 131(8), 2097-2121.
    DOI
    2022 Zhang, C., Cai, Y., Lin, G., & Shen, C. (2022). DeepEMD: Differentiable Earth Mover's Distance for Few-Shot Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(5), 1-17.
    DOI Scopus22 WoS6
    2022 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.
    DOI
    2022 Tian, Z., Chu, X., Wang, X., Wei, X., & Shen, C. (2022). Fully Convolutional One-Stage 3D Object Detection on LiDAR Range Images. Advances in Neural Information Processing Systems, 35, 1-14.
    DOI Scopus5
    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 Scopus1
    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, 38(5), 3173-3186.
    DOI Scopus5 WoS3
    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, 70-86.
    DOI Scopus4
    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 Scopus6
    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 Scopus14 WoS4
    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 Scopus20 WoS21 Europe PMC3
    2022 Zhao, Y., Yu, X., Gao, Y., & Shen, C. (2022). Learning discriminative region representation for person retrieval. Pattern Recognition, 121, 10 pages.
    DOI Scopus19 WoS9
    2022 Liu, Y., Shen, C., Jin, L., He, T., Chen, P., Liu, C., & Chen, H. (2022). ABCNet v2: Adaptive Bezier-Curve Network for Real-time End-to-end Text Spotting. IEEE Transactions on Pattern Analysis and Machine Intelligence, 44(11), 1-17.
    DOI Scopus35 WoS9 Europe PMC1
    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 Scopus8 WoS2
    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 Scopus15
    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 Scopus8 WoS6 Europe PMC1
    2022 Xu, G., Yin, W., Chen, H., Shen, C., Cheng, K., Wu, F., & Zhao, F. (2022). Towards 3D Scene Reconstruction from Locally Scale-Aligned Monocular
    Video Depth.
    2022 Yin, W., Liu, Y., Shen, C., Hengel, A. V. D., & Sun, B. (2022). The devil is in the labels: Semantic segmentation from sentences.
    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
    2021 Xie, Y., Zhang, J., Liao, Z., Verjans, J., Shen, C., & Xia, Y. (2021). Intra- and Inter-pair Consistency for Semi-supervised Gland Segmentation.. IEEE transactions on image processing : a publication of the IEEE Signal Processing Society, 31, 894-905.
    DOI Scopus14 WoS5 Europe PMC1
    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, 44(12), 12 pages.
    DOI Scopus19 WoS8 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 Scopus13 WoS6
    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 Scopus19 WoS9
    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, 44(10), 13 pages.
    DOI Scopus17 WoS17 Europe PMC2
    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.
    WoS4
    2017 Cao, Y., Shen, C., & Shen, H. T. (2017). Exploiting depth from single monocular images for object detection and semantic segmentation. IEEE Transactions on Image Processing, 26(2), 836-846.
    DOI Scopus48 WoS37 Europe PMC3

  • Conference Papers
    Year Citation
    2024 Ying, K., Zhong, Q., Mao, W., Wang, Z., Chen, H., Wu, L. Y., . . . Shen, C. (2024). CTVIS: Consistent Training for Online Video Instance Segmentation. In Proceedings of the IEEE International Conference on Computer Vision (pp. 899-908). Paris, France: IEEE.
    DOI Scopus3
    2024 Wang, X., Zhang, X., Cao, Y., Wang, W., Shen, C., & Huang, T. (2024). SegGPT: Towards Segmenting Everything in Context. In Proceedings of the IEEE International Conference on Computer Vision (pp. 1130-1140). Paris, France: IEEE.
    DOI Scopus3
    2024 Jing, C., Li, Y., Chen, H., & Shen, C. (2024). Retrieval-Augmented Primitive Representations for Compositional Zero-Shot Learning. In Proceedings of the AAAI Conference on Artificial Intelligence Vol. 38 (pp. 2652-2660). Association for the Advancement of Artificial Intelligence (AAAI).
    DOI
    2024 Wang, J., Cui, Y., Guo, D., Li, J., Liu, Q., & Shen, C. (2024). PointAttN: You Only Need Attention for Point Cloud Completion. In Proceedings of the AAAI Conference on Artificial Intelligence Vol. 38 (pp. 5472-5480). Vancouver, Canada: Association for the Advancement of Artificial Intelligence (AAAI).
    DOI Scopus1
    2023 Xu, G., Yin, W., Chen, H., Shen, C., Cheng, K., & Zhao, F. (2023). FrozenRecon: Pose-free 3D Scene Reconstruction with Frozen Depth Models. In Proceedings of the IEEE International Conference on Computer Vision (pp. 9276-9286). Paris, France: IEEE.
    DOI Scopus2
    2023 Wang, W., Ge, Y., Mei, H., Cai, Z., Sun, Q., Wang, Y., . . . Komura, T. (2023). Zolly: Zoom Focal Length Correctly for Perspective-Distorted Human Mesh Reconstruction. In Proceedings of the IEEE International Conference on Computer Vision (pp. 3902-3912). FRANCE, Paris: IEEE COMPUTER SOC.
    DOI
    2023 Yin, W., Zhang, C., Chen, H., Cai, Z., Yu, G., Wang, K., . . . Shen, C. (2023). Metric3D: Towards Zero-shot Metric 3D Prediction from A Single Image. In Proceedings of the IEEE International Conference on Computer Vision (pp. 9009-9019). Paris, France: IEEE.
    DOI Scopus2
    2023 Zhang, C., Yin, W., Yu, G., Wang, Z., Chen, T., Fu, B., . . . Shen, C. (2023). Robust Geometry-Preserving Depth Estimation Using Differentiable Rendering. In Proceedings of the IEEE International Conference on Computer Vision (pp. 8917-8927). Paris, France: IEEE.
    DOI Scopus1
    2023 Wang, Q., Liu, L., Jing, C., Chen, H., Liang, G., Wang, P., & Shen, C. (2023). Learning Conditional Attributes for Compositional Zero-Shot Learning. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition Vol. 2023-June (pp. 11197-11206). Online: IEEE.
    DOI Scopus5
    2023 Wang, X., Wang, W., Cao, Y., Shen, C., & Huang, T. (2023). Images Speak in Images: A Generalist Painter for In-Context Visual Learning. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition Vol. 2023-June (pp. 6830-6839). Vancouver, BC, Canada: IEEE.
    DOI Scopus7
    2023 Pang, G., Shen, C., Jin, H., & van den Hengel, A. (2023). Deep Weakly-supervised Anomaly Detection. In Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (pp. 13 pages). Online: ACM.
    DOI Scopus6 WoS2
    2023 Qin, Y., Chen, X., Chen, C., Shen, Y., Ren, B., Gu, Y., . . . Shen, C. (2023). FoPro: Few-Shot Guided Robust Webly-Supervised Prototypical Learning. In B. Williams, Y. Chen, & J. Neville (Eds.), Proceedings of the 37th AAAI Conference on Artificial Intelligence, AAAI 2023 Vol. 37 (pp. 2101-2109). Washington DC, USA: PKP Publishing Services Network.
    DOI
    2023 Zhuang, B., Liu, J., Pan, Z., He, H., Weng, Y., & Shen, C. (2023). A Survey on Efficient Training of Transformers. In IJCAI : proceedings of the conference / sponsored by the International Joint Conferences on Artificial Intelligence Vol. 2023-August (pp. 6823-6831). Macao, S.A.R: International Joint Conferences on Artificial Intelligence.
    Scopus2
    2023 Zhang, J., Chen, C., Li, B., Lyu, L., Wu, S., Ding, S., . . . Wu, C. (2023). DENSE: Data-Free One-Shot Federated Learning. In Advances in Neural Information Processing Systems Vol. 35. USA: Neural information processing systems foundation.
    Scopus20
    2023 Zhang, C., Yin, W., Wang, Z., Yu, G., Fu, B., & Shen, C. (2023). Hierarchical Normalization for Robust Monocular Depth Estimation. In Advances in Neural Information Processing Systems Vol. 35. USA: Neural information processing systems foundation.
    Scopus2
    2023 Gao, Y., Liu, J., Xu, Z., Zhang, J., Li, K., & Shen, C. (2023). PyramidCLIP: Hierarchical Feature Alignment for Vision-language Model Pretraining. In Advances in Neural Information Processing Systems Vol. 35. USA: Neural information processing systems foundation.
    Scopus4
    2022 Zhang, B., Tian, Z., Tang, Q., Chu, X., Wei, X., Shen, C., & Liu, Y. (2022). SegViT: Semantic Segmentation with Plain Vision Transformers. In Advances in Neural Information Processing Systems Vol. 35. Online: Neural information processing systems foundation.
    Scopus18
    2022 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.
    DOI Scopus24 WoS2
    2022 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). Online: Springer Nature Switzerland.
    DOI Scopus3
    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). Online: IEEE.
    DOI Scopus87
    2022 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). Online: IEEE.
    DOI Scopus12
    2022 He, T., Yin, W., Shen, C., & van den Hengel, A. (2022). PointInst3D: Segmenting 3D Instances by Points. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 13663 LNCS (pp. 286-302). Online: Springer.
    DOI Scopus5
    2022 Peng, D., Wang, X., Liu, Y., Zhang, J., Huang, M., Lai, S., . . . Jin, L. (2022). SPTS: Single-Point Text Spotting. In Proceedings of the 30th ACM International Conference on Multimedia (pp. 10 pages). Online: ACM.
    DOI Scopus10
    2022 Ding, C., Pang, G., & Shen, C. (2022). Catching Both Gray and Black Swans: Open-set Supervised Anomaly Detection. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition Vol. 2022-June (pp. 7378-7388). New Orleans, LA, USA: IEEE.
    DOI Scopus26 WoS17
    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. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition Vol. 2022-June (pp. 14156-14166). New Orleans, LA, USA: IEEE.
    DOI Scopus26 WoS8
    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.
    DOI Scopus25 WoS16
    2022 Dai, Y., Price, B., Zhang, H., & Shen, C. (2022). Boosting Robustness of Image Matting with Context Assembling and Strong Data Augmentation. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition Vol. 2022-June (pp. 11697-11706). New Orleans, LA, USA: IEEE.
    DOI Scopus11
    2022 Lin, C., Wu, A., Liang, J., Zhang, J., Ge, W., Zheng, W. S., & Shen, C. (2022). Text-Adaptive Multiple Visual Prototype Matching for Video-Text Retrieval. In Advances in Neural Information Processing Systems Vol. 35 (pp. 12 pages). Online: Neural information processing systems foundation.
    Scopus4
    2022 Liang, J., Zhang, E., Zhang, J., & Shen, C. (2022). Multi-dataset Training of Transformers for Robust Action Recognition. In Advances in Neural Information Processing Systems Vol. 35. Online: Neural information processing systems foundation.
    Scopus2
    2022 Jia, S., Yin, B., Yao, T., Ding, S., Shen, C., Yang, X., & Ma, C. (2022). Adv-Attribute: Inconspicuous and Transferable Adversarial Attack on Face Recognition. In Advances in Neural Information Processing Systems Vol. 35 (pp. 1-12). New Orleans, Louisiana, USA: MIT Press.
    Scopus5
    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 Scopus24 WoS16
    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 Scopus21 WoS12
    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 Scopus101 WoS46
    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 Scopus6 WoS2
    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 Scopus18 WoS13
    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 Scopus56 WoS19
    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 Scopus12 WoS7
    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 Scopus30 WoS21
    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 Scopus67 WoS54
    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 Scopus93 WoS36
    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 Scopus19 WoS4
    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 Scopus44 WoS5
    2021 Mao, W., Tian, Z., Wang, X., & Shen, C. (2021). FCPose: Fully Convolutional Multi-Person Pose Estimation with Dynamic Instance-Aware Convolutions. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (pp. 9030-9039). Nashville, TN, USA: IEEE.
    DOI Scopus38 WoS18
    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 Scopus53 WoS27
    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 Scopus216 WoS181
    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 Scopus29 WoS9
    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 Scopus270
    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..
    Scopus372 WoS14
    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 Scopus12
    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 Scopus31 WoS13
    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 Scopus6
    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 Scopus19
    2020 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.
    DOI Scopus12
    2011 Park, K., Shen, C., Hao, Z., & Kim, J. (2011). Efficiently learning a distance metric for large margin nearest neighbor classification. In Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence Vol. 1 (pp. 453-458). online: AAAI Press.
    Scopus16

  • Preprint
    Year Citation
    2024 Xie, K., Yang, B., Chen, H., Wang, M., Zou, C., Xue, H., . . . Shen, C. (2024). Zippo: Zipping Color and Transparency Distributions into a Single
    Diffusion Model.
    2024 Xu, G., Ge, Y., Liu, M., Fan, C., Xie, K., Zhao, Z., . . . Shen, C. (2024). Diffusion Models Trained with Large Data Are Transferable Visual Models.
    2023 Wang, W., Zhao, C., Chen, H., Chen, Z., Zheng, K., & Shen, C. (2023). AutoStory: Generating Diverse Storytelling Images with Minimal Human
    Effort.

  • 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 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 Principal Supervisor Long-tailed visual recognition in an open world Doctor of Philosophy Doctorate Full Time Mr Qing Zhong
    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
    2021 - 2024 Co-Supervisor Towards Effective and Efficient Semantic Segmentation Doctor of Philosophy Doctorate Full Time Mr Bowen Zhang
    2020 - 2022 Principal Supervisor Deep Object Segmentation and Beyond Doctor of Philosophy Doctorate Full Time Mr Xinlong Wang
    2020 - 2023 Principal Supervisor Label-Efficient Segmentation for Diverse Scenarios Doctor of Philosophy Doctorate Full Time Mr Yunzhi Zhuge
    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 - 2021 Principal Supervisor Efficient Fully Convolutional Networks for Dense Prediction Tasks Doctor of Philosophy Doctorate Full Time Ms Yifan Liu
    2018 - 2022 Principal Supervisor Efficient Deep Networks for Image Matting Doctor of Philosophy Doctorate Full Time Ms Yutong Dai
    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
    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
    2017 - 2020 Co-Supervisor Semantic Image Segmentation and Other Dense Per-Pixel Tasks: Practical Approaches Doctor of Philosophy Doctorate Full Time Mr Vladimir Nekrasov
    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 - 2016 Principal Supervisor Deep Learning for Multi-label Scene Classification Master of Philosophy Master Full Time Mr Junjie Zhang
    2014 - 2017 Principal Supervisor Deep Visual Representation for Weakly-supervised and Structured Output Tasks Doctor of Philosophy Doctorate Full Time Mr Yao 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 - 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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