Chunhua Shen

Chunhua Shen

School of Computer and Mathematical Sciences

Faculty of Sciences, Engineering and Technology

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
    2025 Zhu, H., Yang, H., Wu, X., Huang, D., Zhang, S., He, X., . . . Ouyang, W. (2025). PonderV2: Improved 3D Representation with A Universal Pre-training Paradigm. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1-16.
    DOI
    2025 Wu, L. Y., Li, B., Wang, H., Shen, C., Mora, B., Chen, C., & Xie, X. (2025). Editorial: Special Section on Intelligent Network Video Advances Based on Transformers. Big Data Mining and Analytics, 8(3), 519.
    DOI
    2025 Wu, W., Li, Z., He, Y., Shou, M. Z., Shen, C., Cheng, L., . . . Zhang, D. (2025). Paragraph-to-Image Generation with Information-Enriched Diffusion Model. International Journal of Computer Vision.
    DOI
    2025 Liu, Y., Huang, M., Yan, H., Deng, L., Wu, W., Lu, H., . . . Bai, X. (2025). VimTS: A Unified Video and Image Text Spotter for Enhancing the Cross-Domain Generalization. IEEE Transactions on Pattern Analysis and Machine Intelligence, 47(4), 2957-2972.
    DOI
    2024 Wang, W., Zhao, C., Chen, H., Chen, Z., Zheng, K., & Shen, C. (2024). AutoStory: Generating Diverse Storytelling Images with Minimal Human Efforts. International Journal of Computer Vision, 133(6), 3083-3104.
    DOI
    2024 Wu, W., Cai, Y., Shen, C., Zhang, D., Fu, Y., Zhou, H., & Luo, P. (2024). End-to-End Video Text Spotting with Transformer. International Journal of Computer Vision, 132(9), 4019-4035.
    DOI Scopus5
    2024 Li, H., Hu, J., Li, B., Chen, H., Zheng, Y., & Shen, C. (2024). Target before Shooting: Accurate Anomaly Detection and Localization under One Millisecond via Cascade Patch Retrieval. IEEE Transactions on Image Processing, 33, 5606-5621.
    DOI Scopus2
    2024 Liu, Y., Wang, X., Zhu, M., Cao, Y., Huang, T., & Shen, C. (2024). Masked Channel Modeling for Bootstrapping Visual Pre-training. International Journal of Computer Vision, 133(2), 760-780.
    DOI
    2024 Hu, M., Yin, W., Zhang, C., Cai, Z., Long, X., Chen, H., . . . Shen, S. (2024). Metric3D v2: A Versatile Monocular Geometric Foundation Model for Zero-shot Metric Depth and Surface Normal Estimation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 46(12), 10579-10596.
    DOI Scopus14 Europe PMC2
    2024 Li, R., Zhang, C., Wang, Z., Shen, C., & Lin, G. (2024). Self-Supervised 3D Scene Flow Estimation and Motion Prediction using Local Rigidity Prior. IEEE Transactions on Pattern Analysis and Machine Intelligence, 46(12), 1-16.
    DOI Scopus3
    2024 Kang, H., Wang, J., Chen, F., Rong, T., Yu, Y., Ding, W., & Zuo, H. (2024). Investigation on the mechanism of solvothermal extraction of coals by macromolecular models. Fuel, 355, 13 pages.
    DOI Scopus13
    2024 Mane, P. V., Rego, R. M., Yap, P. L., Losic, D., & Kurkuri, M. D. (2024). Unveiling cutting-edge advances in high surface area porous materials for the efficient removal of toxic metal ions from water. Progress in Materials Science, 146, 101314-1-101314-50.
    DOI Scopus72
    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 Scopus33 Europe PMC6
    2024 Yu, Y., Zuo, H., Wang, Y., Kang, H., Guo, H., Rong, T., & Wang, J. (2024). Thermal extraction of coal and derivatives to prepare hot-pressed coal briquette for COREX application. Fuel, 357, 129773.
    DOI Scopus4
    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, 132(7), 2401-2419.
    DOI Scopus7
    2024 Wahab, Y. A., Al-Ani, L. A., Khalil, I., Schmidt, S., Tran, N. N., Escribà-Gelonch, M., . . . Muhd Julkapli, N. (2024). Nanomaterials: A critical review of impact on food quality control and packaging. Food Control, 163, 110466-1-110466-17.
    DOI Scopus17
    2024 Mahdi, G. A., Khaleel, M. A., Gemeay, A. M., Nagy, M., Mansi, A. H., Hossain, M. M., & Hussam, E. (2024). A new hybrid odd exponential-Φ family: Properties and applications. Aip Advances, 14(4), 12 pages.
    DOI Scopus1
    2024 Yin, W., Liu, Y., Shen, C., Sun, B., & van den Hengel, A. (2024). Scaling Up Multi-domain Semantic Segmentation with Sentence Embeddings. International Journal of Computer Vision, 132(9), 4036-4051.
    DOI Scopus3
    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 Scopus15
    2023 Zhang, S., Sun, X., Chen, H., Li, B., & Shen, C. (2023). RGM: A Robust Generalizable Matching Model.
    2023 Zhang, B., Liu, L., Phan, M. H., Tian, Z., Shen, C., & Liu, Y. (2023). SegViT v2: Exploring Efficient and Continual Semantic Segmentation with Plain Vision Transformers. International Journal of Computer Vision, 132(4), 1126-1147.
    DOI Scopus13
    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 Scopus21 Europe PMC6
    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), 1-15.
    DOI Scopus24 WoS1 Europe PMC2
    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 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.
    Scopus13
    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 Scopus13 WoS3 Europe PMC10
    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 Scopus5
    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 Scopus10
    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 Scopus98 WoS47 Europe PMC9
    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, PP(10), 1-14.
    DOI Scopus8 Europe PMC1
    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 Scopus2
    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 Scopus23 WoS3
    2022 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), 1-21.
    DOI Scopus21 WoS2 Europe PMC2
    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 Scopus87 WoS6 Europe PMC4
    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 Scopus84
    2022 Pang, G., Aggarwal, C., Shen, C., & Sebe, N. (2022). Editorial Deep Learning for Anomaly Detection. IEEE Transactions on Neural Networks and Learning Systems, 33(6), 2282-2286.
    DOI Scopus9 WoS3
    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 Scopus3
    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 Scopus28 WoS4
    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 Scopus15
    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 Scopus12
    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 Scopus31 WoS21 Europe PMC5
    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 Scopus108 WoS9 Europe PMC5
    2022 Zhao, Y., Yu, X., Gao, Y., & Shen, C. (2022). Learning discriminative region representation for person retrieval. Pattern Recognition, 121, 10 pages.
    DOI Scopus22 WoS9
    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 Scopus14 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 Scopus41
    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 Scopus10 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., Sun, B., & Hengel, A. V. D. (2022). Scaling up Multi-domain Semantic Segmentation with Sentence Embeddings.
    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 Europe PMC3
    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 Scopus1
    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 Scopus30 WoS5 Europe PMC5
    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 Scopus49 WoS8 Europe PMC7
    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 Scopus25 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 Scopus41 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 Scopus35 WoS17 Europe PMC4
    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 Scopus60 WoS37 Europe PMC7
    2014 Steinberg, J. D., Raju, A., Chandrasekharan, P., Yang, C. T., Khoo, K., Abastado, J. P., . . . Townsend, D. W. (2014). Negative contrast cerenkov luminescence imaging of blood vessels in a tumor mouse model using [68Ga]gallium chloride. Ejnmmi Research, 4(1), 1-11.
    DOI Scopus13 Europe PMC7
    2002 Clegg, W., Scott, A. J., Norman, N. C., Robins, E. G., & Whittell, G. R. (2002). Trichloro(perdeuteroacetonitrile)bis(triphenyl-phosphine)rhodium(III). ACTA CRYSTALLOGRAPHICA SECTION E-STRUCTURE REPORTS ONLINE, 58(8), m410-m411.
    DOI
    2001 Batsanov, A. S., Howard, J. A. K., Marder, T. B., & Robins, E. G. (2001). Arene-perfluoroarene interactions in crystal engineering. 4.1 Hexafluorobenzene-trans-stilbene (1/1). Acta Crystallographica Section C Crystal Structure Communications, 57(11), 1303-1305.
    DOI Scopus13 Europe PMC2
    2000 Norman, N. C., Orpen, A. G., Quayle, M. J., & Robins, E. G. (2000). Compositional disorder in frans-[RhBr0.26Cl0.74H(PMe3) 4]-[B(1,2-O2C6Br4)]·CH 2Cl2. Acta Crystallographica Section C Crystal Structure Communications, 56(1), 50-52.
    DOI Scopus10 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 Scopus34
    2024 Wang, W., Ge, Y., Mei, H., Cai, Z., Sun, Q., Wang, Y., . . . Komura, T. (2024). Zolly: Zoom Focal Length Correctly for Perspective-Distorted Human Mesh Reconstruction. In Proceedings of the IEEE International Conference on Computer Vision (pp. 3902-3912). Online: IEEE.
    DOI Scopus13
    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 Scopus69
    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). Online: Association for the Advancement of Artificial Intelligence (AAAI).
    DOI Scopus4
    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 Scopus31
    2024 Zhao, Y., Ye, Q., Wu, W., Shen, C., & Wan, F. (2024). Generative Prompt Model for Weakly Supervised Object Localization. In Proceedings of the IEEE International Conference on Computer Vision (pp. 6328-6338). Online: IEEE.
    DOI Scopus22
    2024 Wu, W., Zhao, Y., Shou, M. Z., Zhou, H., & Shen, C. (2024). DiffuMask: Synthesizing Images with Pixel-level Annotations for Semantic Segmentation Using Diffusion Models. In Proceedings of the IEEE International Conference on Computer Vision (pp. 1206-1217). Online: IEEE.
    DOI Scopus73
    2024 Mao, W., Zhu, M., Sun, Z., Shen, S., Wu, L. Y., Chen, H., & Shen, C. (2024). DE NOVO PROTEIN DESIGN USING GEOMETRIC VECTOR FIELD NETWORKS. In 12th International Conference on Learning Representations, ICLR 2024. Hybrid, Vienna: International Conference on Learning Representations, ICLR.
    Scopus2
    2024 Liu, Y., Zhu, M., Li, H., Chen, H., Wang, X., & Shen, C. (2024). MATCHER: SEGMENT ANYTHING WITH ONE SHOT USING ALL-PURPOSE FEATURE MATCHING. In 12th International Conference on Learning Representations, ICLR 2024. Online: International Conference on Learning Representations, ICLR.
    Scopus12
    2024 Yang, Z., Ding, G., Wang, W., Chen, H., Zhuang, B., & Shen, C. (2024). OBJECT-AWARE INVERSION AND REASSEMBLY FOR IMAGE EDITING. In 12th International Conference on Learning Representations, ICLR 2024. Online: International Conference on Learning Representations, ICLR.
    Scopus1
    2024 Zhu, M., Fan, C., Chen, H., Liu, Y., Mao, W., Xu, X., & Shen, C. (2024). Generative Active Learning for Long-tailed Instance Segmentation. In Proceedings of Machine Learning Research Vol. 235 (pp. 62349-62368). Vienna: ML Research Press.
    Scopus1
    2024 Liu, K., Mao, W., Shen, S., Jiao, X., Sun, Z., Chen, H., & Shen, C. (2024). Floating Anchor Diffusion Model for Multi-motif Scaffolding. In Proceedings of Machine Learning Research Vol. 235 (pp. 31691-31708). Vienna: ML Research Press.
    2024 Zhang, M., Chen, H., Shen, C., Yang, Z., Ou, L., Yu, X., & Zhuang, B. (2024). LoRAPrune: Structured Pruning Meets Low-Rank Parameter-Efficient Fine-Tuning. In Proceedings of the Annual Meeting of the Association for Computational Linguistics (pp. 3013-3026). Hybrid, Bangkok: Association for Computational Linguistics (ACL).
    DOI Scopus5
    2024 Chen, D., Zhou, Z., Wang, C., Shen, C., & Lyu, S. (2024). On the Trajectory Regularity of ODE-based Diffusion Sampling. In Proceedings of Machine Learning Research Vol. 235 (pp. 7905-7934). Vienna: ML Research Press.
    Scopus1
    2024 Jiang, P. T., Yang, Y., Cao, Y., Hou, Q., Cheng, M. M., & Shen, C. (2024). Traffic Scene Parsing Through the TSP6K Dataset. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (pp. 21874-21885). Seattle, Washington: IEEE.
    DOI
    2024 Zhu, M., Liu, Y., Luo, Z., Jing, C., Chen, H., Xu, G., . . . Shen, C. (2024). Unleashing the Potential of the Diffusion Model in Few-shot Semantic Segmentation. In Advances in Neural Information Processing Systems Vol. 37. Vancouver: Neural information processing systems foundation.
    Scopus1
    2024 Liu, Y., Jing, C., Li, H., Zhu, M., Chen, H., Wang, X., & Shen, C. (2024). A Simple Image Segmentation Framework via In-Context Examples. In Advances in Neural Information Processing Systems Vol. 37.
    2023 Ge, Y., Zhou, Q., Wang, X., Shen, C., Wang, Z., & Li, H. (2023). Point-Teaching: Weakly Semi-supervised Object Detection with Point Annotations. In B. Williams, Y. Chen, & J. Neville (Eds.), THIRTY-SEVENTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, VOL 37 NO 1 (pp. 667-675). DC, Washington: ASSOC ADVANCEMENT ARTIFICIAL INTELLIGENCE.
    2023 Chu, X., Tian, Z., Zhang, B., Wang, X., & Shen, C. (2023). CONDITIONAL POSITIONAL ENCODINGS FOR VISION TRANSFORMERS. In 11th International Conference on Learning Representations, ICLR 2023. Kigali: International Conference on Learning Representations, ICLR.
    Scopus90
    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 Scopus9
    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 Scopus75
    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 Scopus4
    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.
    DOI Scopus13
    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. In Proceedings of the IEEE International Conference on Computer Vision (pp. 999-1008). FRANCE, Paris: IEEE COMPUTER SOC.
    DOI Scopus15
    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 Scopus56 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 Scopus2
    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 Scopus40
    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 Scopus145
    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.
    Scopus78
    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.
    Scopus13
    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.
    Scopus42
    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 (pp. 12 pages). Online: Neural information processing systems foundation.
    Scopus78
    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 Scopus80 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 Scopus16
    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 Scopus242
    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 Scopus43
    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 Scopus13
    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 Scopus95 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 Scopus85 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 Scopus64 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 Scopus26
    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.
    Scopus27
    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 Scopus48
    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.
    Scopus18
    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.
    Scopus6
    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 Scopus46 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 Scopus30 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 Scopus190 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 Scopus13 WoS2
    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 Scopus71 WoS18
    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 Scopus90 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 Scopus20 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 Scopus50 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 Scopus151 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 Scopus272 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 Scopus35 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 Scopus102 WoS5
    2021 Zhang, X., Wang, X., Bian, J. -W., Shen, C., & You, M. (2021). Diverse Knowledge Distillation for End-to-End Person Search. In THIRTY-FIFTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THIRTY-THIRD CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE AND THE ELEVENTH SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE Vol. 35 (pp. 3412-3420). Virtual, Online: ASSOC ADVANCEMENT ARTIFICIAL INTELLIGENCE.
    DOI Scopus38 WoS12
    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 Scopus91 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 Scopus474 WoS181
    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 Scopus29 WoS13
    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 Scopus55 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 Scopus416
    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 Scopus18
    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 Scopus52 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 Scopus13
    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 Scopus37
    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..
    Scopus791 WoS14
    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 Scopus20
    2020 Wang, X., Zhang, R., Kong, T., Li, L., & Shen, C. (2020). SOLOv2: Dynamic and Fast Instance Segmentation. In H. Larochelle, M. Ranzato, R. Hadsell, M. F. Balcan, & H. Lin (Eds.), ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 33, NEURIPS 2020 Vol. 33 (pp. 12 pages). ELECTR NETWORK: NEURAL INFORMATION PROCESSING SYSTEMS (NIPS).
    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
    2025 Zhu, M., Zhong, H., Zhao, C., Du, Z., Huang, Z., Liu, M., . . . Shen, C. (2025). Active-O3: Empowering Multimodal Large Language Models with Active
    Perception via GRPO.
    2025 Zhong, H., Zhu, M., Du, Z., Huang, Z., Zhao, C., Liu, M., . . . Shen, C. (2025). Omni-R1: Reinforcement Learning for Omnimodal Reasoning via Two-System
    Collaboration.
    2024 Zhu, M., Liu, Y., Luo, Z., Jing, C., Chen, H., Xu, G., . . . Shen, C. (2024). Unleashing the Potential of the Diffusion Model in Few-shot Semantic
    Segmentation.
    2024 Liu, Y., Jing, C., Li, H., Zhu, M., Chen, H., Wang, X., & Shen, C. (2024). A Simple Image Segmentation Framework via In-Context Examples.
    2024 Chen, Z., Wang, W., Yang, Z., Yuan, Z., Chen, H., & Shen, C. (2024). FreeCompose: Generic Zero-Shot Image Composition with Diffusion Prior.
    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). What Matters When Repurposing Diffusion Models for General Dense
    Perception Tasks?.
    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
    2021 Principal Supervisor Computer Vision Doctor of Philosophy Doctorate Full Time Mr Yongtao Ge
    2021 Principal Supervisor Towards Accurate Semi-Supervised Semantic Segmentation with Fewer Annotations Doctor of Philosophy Doctorate Full Time Miss Jinchao Ge
    2020 Principal Supervisor Deep Anomaly Detection in the Open World 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
    2022 - 2025 Principal Supervisor Skeleton Representation: From Human Pose to Protein Backbone Doctor of Philosophy Doctorate Full Time Mr Weian Mao
    2021 - 2024 Co-Supervisor Towards Effective and Efficient Semantic Segmentation Doctor of Philosophy Doctorate Full Time Mr Bowen Zhang
    2020 - 2023 Principal Supervisor Deep Learning for Scene Text Detection, Recognition, and Understanding Doctor of Philosophy Doctorate Full Time Mr Xinyu Wang
    2020 - 2023 Principal Supervisor Label-Efficient Segmentation for Diverse Scenarios Doctor of Philosophy Doctorate Full Time Mr Yunzhi Zhuge
    2020 - 2022 Principal Supervisor Deep Object Segmentation and Beyond Doctor of Philosophy Doctorate Full Time Mr Xinlong Wang
    2019 - 2022 Co-Supervisor Self-supervised Learning of Monocular Depth from Video Doctor of Philosophy Doctorate Full Time Mr Jiawang Bian
    2019 - 2022 Principal Supervisor Deep Learning for Robotic Scene Understanding Doctor of Philosophy Doctorate Full Time Mr Libo Sun
    2018 - 2021 Principal Supervisor Fully Convolutional Instance-level Visual Recognition Doctor of Philosophy Doctorate Full Time Mr Zhi Tian
    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 - 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 Mid-level Representations for Action Recognition and Zero-shot Learning Doctor of Philosophy Doctorate Full Time Mr Ruizhi Qiao
    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
    2012 - 2014 Principal Supervisor Hypergraph Modeling for Saliency Detection and Beyond Master of Engineering Science Master Full Time Mr Yao Li
    2012 - 2014 Principal Supervisor Structured Output Prediction and Binary Code Learning in Computer Vision Doctor of Philosophy Doctorate Full Time Dr Guosheng Lin
    2011 - 2015 Principal Supervisor Learning Structured Prediction Models in Computer Vision Doctor of Philosophy Doctorate Full Time Miss Fayao Liu
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