Publications

97.Y. Liu and Q. Dong*, EAR-Net: Pursuing End-to-End Absolute Rotations from Multi-View Images,in Transactions on Pattern Analysis and Machine Intelligence, 2026, doi: 10.1109/TPAMI.2026.3708244.

96.Y. Xu and Q. Dong*, PaD-GS: Leveraging Distortion Map for Panoramic Gaussian Splatting,in Proc. European Conference on Computer Vision (ECCV), 2026, accepted. [code]

95.X. Qin, A. Yi, W. Wang, C. He, L. Wang, S. Tao, X. Zhang, and Q. Dong*, SPA-Net: Skeletal-to-Whole Point Cloud Completion Via Progressive Off-attention Neighboring Feature Aggregation, in IEEE Transactions on Multimedia, 2026, Accepted. [code]

94.Y. Xu and Q. Dong*, SA-GS: Season-aware affine 3D Gaussian Splatting for satellite image rendering, ISPRS Journal of Photogrammetry and Remote Sensing, 236: 474-486,2026. [code]

93.Y. Liu and Q. Dong*, DeepTA: High-Speed Deep Camera Translation Averaging with Reverse Direction Invariance, International Journal of Computer Vision, 134: 132, 2026, DOI: https://doi.org/10.1007/s11263-025-02714-x. [code]

92.Y. Xu and Q. Dong*, Distortion-Aware Depth Self-Updating for Self-Supervised Fisheye Monocular Depth Estimation, in IEEE Transactions on Image Processing, vol. 35, pp. 1883-1898, 2026, doi: 10.1109/TIP.2026.3661813. [code]

91.T. Tan, H. Hu, and Q. Dong*, SNOP-GS: Self-refining Novel Object Pose via 3D Gaussian Splatting, Pattern Recognition, 175: 113063, 2026.[code]

90.S. Xu and Q. Dong*, CAG-GS: Consistent Anchor Guided Gaussian Splatting for Large-scale Scene Rendering, AAAI, 2026.[code]

89.M. Gao and Q. Dong*, Bimodal Commuting Alignment Network for Zero-shot Recognition, in IEEE Transactions on Multimedia, 2026, doi: 10.1109/TMM.2026.3668470. [code]

88.W. Wang, J. Hu, Y. Wang, J. Wang, Q. Dong, and Z. Hu, Multi-view Consistent Feature Learning for Open-set Semantic Image Segmentation, Expert Systems with Applications, 314: 131687, 2026.

87.H. Wang, Y. Chen, Q. Liu, M. Gao, X. Lu, Z. Zhang, and Q. Dong*, Multi-view Consistent Feature Learning for Open-set Semantic Image Segmentation, Expert Systems with Applications, 305: 130791, 2026.

86.M. Gao and Q. Dong*, Causality-guided Prompt Learning for Vision-language Models via Visual Granulation, in Proc. IEEE International Conference on Computer Vision (ICCV), pp. 1141-1151, 2025. [code]

85.T. Tan and Q. Dong*, ONDA-Pose: Occlusion-Aware Neural Domain Adaptation for Self-Supervised 6D Object Pose Estimation, in Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 16829-16838, 2025. [code]

84.Y. Liu and Q. Dong*, EquiPose: Exploiting Equivariance for Relative Camera Pose Estimation, in Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 1127-1137, 2025.[code]

83.Q. Dong*, J. Li, and S. Deng, Towards Semi-supervised Dual-modal Semantic Segmentation, in IEEE Transactions on Multimedia, vol. 27, pp. 8212-8224, 2025, doi: 10.1109/TMM.2025.3604939.

82.Q. Dong*, Z. Zhou, X. Qiu, and L. Zhang, A Survey on Self-supervised Monocular Depth Estimation Based on Deep Neural Networks, in IEEE Transactions on Neural Networks and Learning Systems, vol. 36, no. 9, pp. 15622-15642, 2025, doi: 10.1109/TNNLS.2025.3552598.

81.M. Gao and Q. Dong*, Self-assembled Generative Framework for Generalized Zero-shot Learning, in IEEE Transactions on Image Processing, vol. 34, pp. 914-924, 2025, doi: 10.1109/TIP.2025.3531697. [code]

80.Q. Liu, Q. Dong, et al. Semantic-guided compositional scene representation framework, Neural Networks, vol. 190, 107598, 2025.

79.J. Sun, M. Gao, H. Wang, and Q. Dong*, Recursive Counterfactual Deconfounding for Image Recognition, Knowledge-Based Systems, vol. 315, 113245, 2025.

78.Q. Dong, H. Zhang, J. Xiao and J. Sun, Multi-Scale Spatio-Temporal Attention Network for Epileptic Seizure Prediction, in IEEE Journal of Biomedical and Health Informatics, vol. 29, no. 7, pp. 4784-4795, 2025, doi: 10.1109/JBHI.2025.3545265.[code]

77.Q. Dong, Z. Wang and M. Gao, Noise-Aware Epileptic Seizure Prediction Network via Self-Attention Feature Alignment, in IEEE Journal of Biomedical and Health Informatics, vol. 29, no. 11, pp. 8100-8111, 2025, doi: 10.1109/JBHI.2025.3579229.[code]

76.X. Qin, L. Wang, Y. Zhu, F. Mao, X. Zhang, C. He, and Q. Dong*, Rectified self-supervised monocular depth estimation loss for nighttime and dynamic scenes, Engineering Applications of Artificial Intelligence, 144: 110026, 2025, DOI: https://doi.org/10.1016/j.engappai.2025.110026. [code]

75. X. Qin, Y. Zhu, L. Wang, X. Zhang, C. He, and Q. Dong*, Self-supervised monocular depth learning from unknown cameras: Leveraging the power of raw data, Image and Vision Computing, 157: 105505, 2025. [code]

74.Q. Dong*, S. Deng, and Y. Liu, Cayley Rotation Averaging: Multiple Camera Averaging Under the Cayley Framework, in IEEE Transactions on Image Processing, vol. 33, pp. 4173-4187, 2024, doi: 10.1109/TIP.2024.3416057.

73.Y. Liu and Q. Dong*, Descriptor Distillation: a Teacher-Student-Regularized Framework for Learning Local Descriptors, International Journal of Computer Vision, 132, 3787-3805, 2024, DOI: https://doi.org/10.1007/s11263-024-02039-1.[code]

72.J. Li and Q. Dong*, LASS3D: Language-Assisted Semi-Supervised 3D Semantic Segmentation with Progressive Unreliable Data Exploitation,in Proc. European Conference on Computer Vision (ECCV), pp. 252-269, 2024.

71.J. Li and Q. Dong*, Density-Guided Semi-Supervised 3D Semantic Segmentation with Dual-Space Hardness Sampling, in Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 3260-3269, 2024.

70.W. Wang, L. Yu, Q. Dong*, Z. Hu, Efficient Region-based 3D Urban Building Reconstruction from TomoSAR Images. in IEEE Transactions on Geoscience and Remote Sensing, vol. 62, pp. 1-14, 2024, doi: 10.1109/TGRS.2024.3417948.

69.B. Liu, H. Zeng, Q. Dong, Z. Hu, Language-Level Semantics-Conditioned 3D Point Cloud Segmentation. Remote Sensing, 16(13): 2376, 2024.

68.B. Liu, J. Xu, H. Zeng, Q. Dong, Z. Hu, Semantic Space Analysis for Zero-Shot Learning on SAR Images. Remote Sensing, 16(14): 2627, 2024.

67.M. Gao and Q. Dong*, Adaptive Conditional Denoising Diffusion Model with Hybrid Affinity Regularizer for Generalized Zero-shot Learning, in IEEE Transactions on Circuits and Systems for Video Technology, vol. 34, no. 7, pp. 5641-5652, 2024, DOI: 10.1109/TCSVT.2024.3359238.[ code]

66.J. Sun and Q. Dong*, Conditional Feature Generation for Transductive Open-set Recognition via Dual-space Consistent Sampling, Pattern Recognition, 146: 110046, 2024.[code]

65.W. Wang, H. Wang, L. Yu, Q. Dong*, and Z. Hu*, Exploiting SAR Visual Semantics in TomoSAR for 3D Modeling of Buildings, National Science Open, 2024, DOI: https://doi.org/10.1360/nso/20230067.

64.J. Sun, Hong Wang, and Q. Dong*, Hierarchical Attention Network for Open-Set Fine-Grained Image Recognition, in IEEE Transactions on Circuits and Systems for Video Technology, vol. 34, no. 5, pp. 3891-3904, 2024, doi: 10.1109/TCSVT.2023.3325001.[code]

63.Z. Zhou and Q. Dong*, Two-in-One Depth: Bridging the Gap Between Monocular and Binocular Self-supervised Depth Estimation, in Proc. IEEE International Conference on Computer Vision (ICCV), pp. 9411-9421, 2023.[code]

62.W. Wang, Q. Dong*, and Z. Hu. Single-Image Piecewise Planar Reconstruction of Urban Buildings Based on Geometric Priors. ISPRS Journal of Photogrammetry and Remote Sensing, 204: 105-116, 2023.

61.J. Li and Q. Dong*, Open-set Semantic Segmentation for Point Clouds via Adversarial Prototype Framework, in Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 9425-9434, 2023.[code]

60.T. Tan and Q. Dong*, SMOC-Net: Leveraging Camera Pose for Self-Supervised Monocular Object Pose Estimation, in Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 21307-21316, 2023. (Selected as a highlight) [code]

59.W. Wang, Q. Dong*, and Z. Hu, Interactive Piecewise Planar Building Reconstruction from a Single Image Based on Geometric Priors, Expert Systems with Applications, 230: 120572, 2023.

58.J. Sun, H. Wang, and Q. Dong*, MoEP-AE: Autoencoding Mixtures of Exponential Power Distributions for Open-Set Recognition, in IEEE Transactions on Circuits and Systems for Video Technology, vol. 33, no. 1, pp. 312-325, 2023,  doi: 10.1109/TCSVT.2022.3200112.[code]

57.C. Yang, T. Li, Q. Dong, and Y. Zhap, Chromosome classification via deep learning and its application to patients with structural abnormalities of chromosomes, Medical Engineering & Physics, 121: 104064,2023.

56.M. Gao, J. Xu, J. Yu and Q. Dong*, Distilled Heterogeneous Feature Alignment Network for SAR Image Semantic Segmentation, in IEEE Geoscience and Remote Sensing Letters, vol. 20, pp. 1-5, 2023, Art no. 4004705, doi: 10.1109/LGRS.2023.3293160.[code]

55.X. Yang, Q. Zhang, Q. Dong, Z. Han, X. Luo, and D. Wei, Ship Instance Segmentation Based on Rotated Bounding Boxes for SAR Images, Remote Sensing, 2023; 15(5): 1324. https://doi.org/10.3390/rs15051324

54.H. Wang, Z. Zhang, Z. Hu, and Q. Dong*, SAR-to-Optical Image Translation with Hierarchical Latent Features, in IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-12, 2022, Art no. 5233812, doi: 0.1109/TGRS.2022.3200996.[code]

53.P. Wang, L. Shi, B. Chen, Z. Hu, J, Qiao, and Q. Dong*, Pursuing 3D Scene Structures with Optical Satellite Images from Affine Reconstruction to Euclidean Reconstruction, in IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-14, 2022, Art no. 5632214, doi: 10.1109/TGRS.2022.3213546.

52.Z. Zhou and Q. Dong*, Self-distilled feature aggregation for self-supervised monocular depth estimation, in Proc. European Conference on Computer Vision (ECCV), LNCS 13661, pp. 709–726, 2022.[code]

51.Z. Zhou and Q. Dong*, Learning occlusion-aware coarse-to-fine depth map for self-supervised monocular depth estimation, Proceedings of the ACM International Conference on Multimedia, pp. 6386-6395, 2022.[code]

50.Q. Liu, X. Lu, Q. Dong, Y. Zhang, and H. Wang, SG-SRNs: Superpixel-Guided Scene Representation Networks, in IEEE Signal Processing Letters, vol. 29, pp. 2038-2042, 2022.

49.Q. Dong*, X. Gao, H. Cui, and Z. Hu, Robust Camera Translation Estimation via Rank Enforcement, IEEE Transactions on Cybernetics, vol. 52, no. 2, pp. 862-872, Feb. 2022, doi: 10.1109/TCYB.2020.2988679.

48.S. Deng, Q. Dong*, B. Liu, and Z. Hu, Superpoint-guided Semi-supervised Semantic Segmentation of 3D Point Clouds, in Proc. IEEE International Conference on Robotics and Automation (ICRA), 2022.

47.S. Xing, Q. Dong*, and Z. Hu, SCE-Net: Self- and Cross-Enhancement Network for Single-View Height Estimation and Semantic Segmentation. Remote Sensing. 2022; 14(9):2252. https://doi.org/10.3390/rs14092252

46.D. Wang and Q. Dong*, MCFINet: Multi-Depth Convolution Network with Shallow-Deep Feature Integration for Semantic Labeling in Remote Sensing Images, in IEEE Geoscience and Remote Sensing Letters, vol. 19, pp. 1-5, 2022, Art no. 8009305, doi: 10.1109/LGRS.2021.3065039.[code]

45.S. Xing, Q. Dong*, and Z. Hu, Gated Feature Aggregation for Height Estimation from Single Aerial Images, in IEEE Geoscience and Remote Sensing Letters, vol. 19, pp. 1-5, 2022, Art no. 6003705, doi: 10.1109/LGRS.2021.3090470.

44.W. Wang Q. Dong*, and Z. Hu, ASPPR: Active Single-image Piecewise Planar 3D Reconstruction Based on Geometric Priors, in SCIENCE CHINA Information Sciences,in press, 2022.

43.B. Chen, P. Wang, and Q. Dong*, Fast 3D Reconstruction of Satellite Images via global affine model, National Remote Sensing Bulletin (in Chinese), in press, 2022, DOI: 10.11834/jrs.20222039.

42.W. Wang, H. Xu, H. Wei, and Q. Dong*, Progressive Building Facade Detection for Regularizing Array InSAR Point Clouds, Journal of Radars (in Chinese), 11(1): 144-156, 2022.

41.M. Rong, L. Hu, Q. Dong*, and Z. Hu, DNNs with Randomly Assigned Parameters Could Classify Object Images? Journal of Computer-Aided Design & Computer Graphics (in Chinese), 34(7): 1068-1074, 2022.

40.B. Liu, L.Hu, Q. Dong*, and Z. Hu, An Iterative Co-Training Transductive Framework for Zero Shot Learning, IEEE Transactions on Image Processing, 30: 6943-6956, 2021.

39.B. Liu, Q. Dong*, and Z. Hu, Semantic-diversity Transfer Network for Generalized Zero-Shot Learning via Inner Disagreement Based OOD Detector, Knowledge-Based Systems, 229: 107337, 2021.

38.S. Deng and Q. Dong*, GA-NET: Global Attention Network for Point Cloud Semantic Segmentation, IEEE Signal Processing Letters, 28: 1300-1304, 2021, doi: 10.1109/LSP.2021.3082851.[code]

37.B. Liu, Q. Dong*, and Z. Hu, Hardness Sampling for Self-Training Based Transductive Zero-Shot Learning, In Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 16499-16508, 2021.

36.S. Fan, Q. Dong*, F. Zhu, et al. SCF-Net: Learning Spatial Contextual Features for Large-Scale Point Cloud Segmentation, In Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 14504-14513, 2021. [code]

35.L. Niu, Q. Dong*, Z. Gu, and J. Ye, Real-Time Localization and Matching of Corneal Reflections for Eye Gaze Estimation via a Lightweight Network, Chinese CHI, 2021.

34.S. Deng, B. Liu, Q. Dong*, and Z. Hu, Rotation Transformation Network: Learning View-Invariant Point Cloud for Classification and Segmentation, In Proc. IEEE International Conference on Multimedia and Expo (ICME), 2021.[code]

33.X. Qiu, Z. Jiao, L. Peng, J. Chen, J. Guo, L. Zhou, L. Chen, C. Ding, F. Xu, Q. Dong, and S. Lyu, SARMV3D-1.0: Synthetic Aperture Radar Microwave Vision 3D Imaging Dataset, Journal of Radars (in Chinese), 10(4): 485-498, 2021.

32.W. Wang, L. Yu, G. Ren, L. Chen, Q. Dong, and Z. Hu, Rapidly Reconstructing 3D Line-Plane Structures of Urban Building Facades, ACTA ELECTRONICA SINICA (in Chinese), 49(8): 1551-1560, 2021.

31.L. Chang, L. Jin, L. Weng, W. Chao, X. Wang, X. Deng, and Q. Dong*, Face-Sketch Learning with Human Sketch-Drawing Order Enforcement, Science China Information Sciences, 219103:1–219103:3, 2020.

30.Q. Dong, B. Liu, and Z. Hu, Non-uniqueness phenomenon of object representation in modelling IT cortex by deep convolutional neural network (DCNN), Frontiers in Computational Neuroscience, 14:35, 2020.

29.B. Liu, Q. Dong*, Z. Hu, Zero-shot learning from Adversarial feature residual to compact visual feature, AAAI, New York, USA, pp. 11547-11554, 2020.[code]

28.Q. Dong and H. Wang, Latent-Smoothness Nonrigid Structure from Motion by Revisiting Multi-Linear Factorization, IEEE Transactions on Cybernetics, 49(9): 3557-3570, 2019.

27.Q. Dong, J. Sun, and Z. Hu, Face representation by deep learning: a linear encoding in a parameter space? CoRR abs/1910.09768 (2019).

26.T. Zhang, H. Wang, and Q. Dong, Deep Disentangling Siamese Network for Frontal Face Synthesis under Neutral Illumination, IEEE Signal Processing Letters, 25(9): 1344-1348, 2018.

25.Q. Dong, H. Wang, Z. Hu, Commentary: Using goal-driven deep learning models to understand sensory cortex, Frontiers in Computational Neuroscience, 2018, doi: 10.3389/fncom.2018.00004

24.Q. Dong, H. Wang, Z. Hu, Statistics of visual responses to image object stimuli from primate AIT neurons to DNN neurons, Neural Computation, 30: 447–476, 2018.

23.Q. Dong, M. Shu, H. Cui, H. Xu, Z. Hu, Learning Stratified 3D Reconstruction, SCIENCE CHINA Information Sciences, 61(2): 023101, 2018.

22.Q. Dong, B. Liu, Z. Hu, Comparison of IT neural response statistics by simulations, Frontiers in Computational Neuroscience, 2017, doi: 10.3389/fncom.2017.00060

21.T. Zhang, Q. Dong, M. Tang, Z. Hu, Two-Stream Deep Correlation Network for Frontal Face Recovery, IEEE Signal Processing Letters, 24(10): 1478-1482, 2017.

20.T. Zhang, R. Qin, Q. Dong, W. Gao, H. Xu, Z. Hu, Physiognomy: Personality Traits Prediction by Learning, International Journal of Automation and Computing, 14(4): 386-395, 2017.

19.Q. Dong, H. Hu, Sequential factorization for nonrigid structure from motion via LBFGS, In Proc. International Conference on Pattern Recognition, pp. 1731-1736, Cancun, Mexico, 2016.

18.T. Zhang, Q. Dong, Z. Hu, Pursuing face identity from view-specific representation to view-invariant representation, In Proc. International Conference on Image Processing, pp. 3244-3248, 2016.

17.L. He, Q. Dong, G. Wang, Fast depth extraction from a single image, International Journal of Advanced Robotic Systems, 2016.

16.L. He, Q. Dong, Z. Hu, The inherent ambiguity in scene depth learning from singleimages, SCIENTIA SINICA Informationis, 46(7):811-818, 2016.

15.Q. Kong, Y. Zeng, Q. Dong. Biologically inspired deep stereo model. In Proc. IEEE International Conference on Image Processing, 2015.

14.L. Li, Q. Dong, R. Zhao, GLRAMMC: generalized low-rank approximations of matrices with missing components and its applications in image processing, Journal of Computer-Aided Design and Computer Graphics (in Chinese), 27(11): 2065-2076, 2015.

13.K. Shi, Q. Dong, F. Wu, Euclidean upgrading from segment lengths: DLT-like algorithm and its variants. Image and Vision Computing, 32(2): 155-168, 2014.

12.Q. Zhang, Y. Wu, F. Wang, Q. Dong, L. Jiao: Suboptimal Solutions to the Algebraic-Error Line Triangulation. Journal of Mathematical Imaging and Vision 49(3): 611-632, 2014.

11.H. Hao, C. Lei, Q. Dong, Y. Shen, J. Chi, H. Ye, H. Wang, Effects of exogenous methyl jasmonate on the biosynthesis of shikonin derivatives in callus tissues of arnebia euchroma, Applied Biochemistry and Biotechnology, 173 (8): pp.2198-2210, 2014.

10.Q. Dong, L. Li, Smooth incomplete matrix factorization and its applications in image/video denoising, Neurocomputing, 122:458-469, 2013.

9.Q. Dong, Two-dimensional relaxed representation, Neurocomputing, 121:248-253, 2013.[code]

8.K. Shi, Q. Dong, F. Wu, Weighted Similarity-Invariant Linear Algorithm for Camera Calibration With Rotating 1-D Objects. IEEE Transactions on Image Processing, 21(8): 3806-3812, 2012.

7.Q. Dong, Z. Gu, Z. Hu,  Automatic real-time SLAM relocalization based on a hierarchical bipartite graph model, Science China Information Sciences, 55(12): 2841-2848, 2012.

6.Z. Gu, Q. Dong, Z. Hu, A real-time robust monocular SLAM method, Chinese Journal of Computers, in press.

5.Z. Gu, Q. Dong, Monocular SLAM based on partial inertial measurement unit information, Journal of Computer-Aided Design and Computer Graphics, 24(2): 155-160, 2012.

4.Q. Dong, Y. Wu, and Z. Hu. Pointwise Motion Image(PMI): A novel motion representation and its applications to abnormality detection and behavior recognition. IEEE Transactions on Circuits and Systems for Video Technology, vol. 19, no. 3, pp. 409-416, 2009.

3.Q. Dong, Y. Wu, and Z. Hu. Video-based real-time automatic measurement for the height of human body. ACTA AUTOMATICA SINICA (in Chinese), vol. 35, no. 2, pp. 137-144, 2009.

2.Q. Dong, Y. Wu, and Z. Hu. Gesture Segmentation from a Video Sequence Using Greedy Similarity Measure. In Proc. the 18th International Conference on Pattern Recognition, HongKong, China, vol. 1, pp.331-334, 2006.

1.Q. Dong, Y. Wu, and Z. Hu. Gesture Recognition Using Quadratic Curves. In Proc. the 7th Asian Conference on Computer Vision, Hyderabad, India, pp. 817-825, 2006.

　

　

　

　

　

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