|
|
Prof. Xudong Jiang , IEEE Fellow School of Electrical and Electronic Engineering, Nanyang Technological University
|
|
|
|
||
Recent Top Conference Papers
[1]
J. Hoe, X Jiang, C. Chan, Y. Tan, W.
Hu, “InteractDiffusion:
Interaction Control in Text-to-Image Diffusion Models,” IEEE
Conference on Computer Vision and Pattern Recognition (CVPR’24),
2024. [2]
Z. Li, Z. Lu, H. Yan, B. Shi, G. Pan,
Q. Zheng, X. Jiang, “Unsupervised Natural
Light Uncalibrated Photometric Stereo with Spin Lights,” IEEE Conference on Computer Vision and
Pattern Recognition (CVPR’24), 2024. [3]
S.
Xia, Y. Yu, X. Jiang, H. Ding, “Mitigating the
Curse of Dimensionality for Certified Robustness via Dual Randomized
Smoothing,” International
Conference on Learning Representations (ICLR’24), 2024. [4]
Z.
Lu, Q. Zheng, B. Shi, X. Jiang, “Pano-NeRF: Synthesizing High Dynamic
Range Novel Views with Geometry from Sparse Low Dynamic Range Panoramic
Images,” AAAI Conference on Artificial Intelligence (AAAI’24), 2024. [5]
H.
Du, G. Nan, …, X. Jiang, “DocMSU: A Comprehensive Benchmark for
Document-level Multimodal Sarcasm Understanding,” AAAI Conference on Artificial Intelligence (AAAI’24), 2024. [6] H. Ding, C. Liu, S. He, X.
Jiang, C. Loy, “MeViS:
A Large-scale Benchmark for Video Segmentation with Motion Expressions,” International Conference on Computer Vision (ICCV’23), 2023. [7] H. Ding, C. Liu, S. He, X.
Jiang, P. Torr, S. Bai, “MOSE:
A New Dataset for Video Object Segmentation in Complex Scenes,” International Conference on Computer Vision (ICCV’23), 2023. [8] C. Liu, H. Ding, X. Jiang, “GRES:
Generalized Referring Expression Segmentation,” IEEE Conference on
Computer Vision and Pattern Recognition (CVPR’23 Highlight, Acceptance
Rate 2.6%), 2023. [9] Z. Li, Q. Zheng, B. Shi, G.
Pan, X. Jiang, “DANI-Net:
Uncalibrated Photometric Stereo by Differentiable Shadow Handling,
Anisotropic Reflectance Modeling, and Neural
Inverse Rendering,” IEEE Conference on
Computer Vision and Pattern Recognition (CVPR’23), 2023. [10] W. He, J.
Zhang, J. Ren, R. Bai, X. Jiang, “Hierarchical ConViT with Attention-based Relational Reasoner for
Visual Analogical Reasoning,” AAAI Conference
on Artificial Intelligence, 37(1), 22-30. (AAAI’23), 2023. [11] H.
Ding, C. Liu, S. Wang, X. Jiang, “Vision-Language
Transformer and Query Generation for Referring Segmentation,” International Conference on Computer
Vision (ICCV’21), Oct 2021. [12] H.
Ding, H. Zhang, J. Liu, J. Li, Z. Feng, X. Jiang, “Interaction
via Bi-directional Graph of Semantic Region Affinity for Scene Parsing,” International Conference on
Computer Vision (ICCV’21), Oct 2021. [13] Q. Zheng, B. Shi, J. Chen, X. Jiang, L.
Duan, A. Kot, “Single
Image Reflection Removal with Absorption Effect,” IEEE Conference on Computer Vision and Pattern Recognition, (CVPR’21), Jun 2021. [14] Y. Hong, Q. Zheng, L. Zhao, X. Jiang, A. Kot, B. Shi, “Panoramic
Image Reflection Removal,” IEEE Conference on Computer Vision and
Pattern Recognition (CVPR’21), Jun 2021. [15] Q. Zheng, J. Chen, Z.
Lu, B. Shi, X. Jiang, K. Yap, L. Duan, A. Kot, “What
does Plate Glass Reveal about Camera Calibration?,” IEEE Conference on Computer Vision and
Pattern Recognition, (CVPR’20),
Jun 2020. [16] H. Ding, S. Cohen, B. Price, X. Jiang, “PhraseClick:
Toward Achieving Flexible Interactive Segmentation by Phrase and Click,”
European
Conference on Computer Vision (ECCV’20
Spotlights, Acceptance Rate 5.3%), Aug 2020. [17] J. Weng, D. Luo, Y. Wang, Y. Tai, C. Wang, J. Li, F.
Huang, X. Jiang, J. Yuan, “Temporal
Distinct Representation Learning for Action Recognition,” European
Conference on Computer Vision (ECCV’20),
Aug 2020. [18] H. Ding, X. Jiang, B. Shuai, A. Liu, G. Wang, “Semantic
Correlation Promoted Shape-Variant Context for Segmentation,” IEEE Conference on Computer Vision and
Pattern Recognition, pp.
8885-8894, (CVPR’19 Oral, Acceptance Rate 5.6%) Jun 2019. [19] H. Ding, X. Jiang, A. Liu, N. Thalmann, G. Wang, “Boundary-Aware
Feature Propagation for Scene Segmentation,” International Conference on
Computer Vision, (ICCV’19), pp. 6819- 6829, Oct 2019. [20] Q. Zheng, Y.
Jia, B. Shi,
X. Jiang, L. Duan, A. Kot, “SPLINE-Net:
Sparse Photometric Stereo through Lighting Interpolation and Normal
Estimation Networks” International Conference on Computer
Vision, (ICCV’19), pp. 8549-8558, Oct 2019. [21] J. Weng, M. Liu, X. Jiang, J. Yuan, “Deformable
Pose Traversal Convolution for 3D Action and Gesture Recognition,” Europe
Conference on Computer Vision (ECCV’18), Sep 2018 [22] H. Ding, X. Jiang, B. Shuai, A. Liu, G. Wang, “Context
contrasted feature and gated multi-scale aggregation for scene segmentation,” IEEE
Conference on Computer Vision and Pattern Recognition, pp. 2393-2402 (CVPR’18
Oral, Acceptance Rate 2.1%),
Jun 2018. [23] Z. Zuo, G. Wang, B. Shuai, L. Zhao, Q. Yang,
X. Jiang, “Learning
Discriminative and Shareable Features for Scene Classification,” European
Conference on Computer Vision, (ECCV’14),
Sep 2014. Representative Journal Articles
[1]
J. Wu, X. Li, S. Yuan, H. Xu, H. Ding,
Y. Yang, X. Li, J. Zhang, Y. Tong, X. Jiang, B. Ghanem, D. Tao, “Towards
Open Vocabulary Learning: A Survey,” IEEE Transactions on Pattern Analysis and Machine Intelligence, DOI: 10.1109/TPAMI.2024.3361862, 2024. [2]
K. Jiang, Z. Jiang, X. Jiang, Y. Xie, W. Gui, “Reinforcement
Learning for Blast Furnace Ironmaking Operation with Safety and Partial
Observation Considerations,” IEEE Transactions on Neural Networks
and Learning Systems, DOI: 10.1109/TNNLS.2023.3340741, 2024. [3]
Y. Zhan, H. Zhang, H. Lin, L. Chin, H.
Cai, M. Karim, D. Poenar, X. Jiang, M. Mak, L. Kwek, A. Liu, "Physics-Aware
Analytic-Gradient Training of Photonic Neural Networks," Laser
and Photonics Reviews, DOI: 10.1002/lpor.202300445, 2024. [4]
J. Ji, Z. Shu, H. Li,
K. Lai, M. Lu, G. Jiang, W. Wang, Y. Zheng, X. Jiang, “Edge-computing based
Knowledge Distillation and Multi-task Learning for Partial Discharge
Recognition,” IEEE Transactions on Instrumentation
and Measurement, vol. 73, 5008011,
DOI: 10.1109/TIM.2024.3351239, 2024. [5]
S. He, H. Luo, W. Jiang, X. Jiang H. Ding, "VGSG: Vision-Guided
Semantic-Group Network for Text-Based Person Search," IEEE
Transactions on Image Processing, vol. 33, 163-176, DOI: 10.1109/TIP.2023.3337653,
2023. [6]
H.
Jiang, N. Bhujel, Z. Lin, K. Wan, J. Li, J. Senthilnath, X. Jiang, "Learning
Relation in Crowd using Gated Graph Convolutional Networks for DRL-based
Robot Navigation" IEEE Transactions on Intelligent
Transportation Systems, DOI: 10.1109/TITS.2023.3343923,
2023. [7] S. Wang, J. Ren, R. Bai, Y. Yao, X. Jiang, “A Max-Relevance-Min-Divergence criterion for data discretization with applications on naive Bayes,” Pattern Recognition, 110236, DOI: 10.1016/j.patcog.2023.110236, 2023. [8]
Z. Lin, X. Jiang, Z. Zheng, “A coarse-to-fine pattern parser for
mitigating the issue of drastic imbalance in pixel distribution,” Pattern Recognition, 148, 110143, DOI: 10.1016/j.patcog.2023.110143,
2023. [9] Y. Hu, Q. Zheng, X. Jiang, G. Pan, “Fast-SNN: Fast Spiking Neural Network by Converting Quantized ANN,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 45, no. 12, 14546 -14562 DOI: 10.1109/TPAMI.2023.3275769, 2023. [10] Y. Hong, Q.
Zheng, L. Zhao, X.
Jiang,
A. Kot,
B. Shi, “PAR2 Net:
End-to-end Panoramic Image Reflection Removal,” IEEE Transactions on Pattern Analysis and
Machine Intelligence, vol. 45, no. 10, 12192–12205, DOI: 10.1109/TPAMI.2023.3286429, 2023. [11] H. Ding, C. Liu, S.
Wang, X. Jiang, “VLT: Vision-Language
Transformer and Query Generation for Referring Segmentation,” IEEE
Transactions on Pattern Analysis and Machine Intelligence, vol. 45.
no. 6, 7900–7916, DOI: 10.1109/TPAMI.2022.3217852,
Jun. 2023. [12] S
He, X Jiang, W Jiang, H Ding, “Prototype Adaption and
Projection for Few-and Zero-shot 3D Point Cloud Semantic Segmentation,” IEEE Transactions on Image Processing, vol. 32, 3199-3211, DOI: 10.1109/TIP.2023.3279660, 2023. [13] C.
Liu, H. Ding, Y. Zhang, X Jiang, “Multi-Modal Mutual
Attention and Iterative Interaction for Referring Image Segmentation,” IEEE Transactions on Image Processing, vol. 32, 3054 –3065, DOI: 10.1109/TIP.2023.3277791, 2023. [14] J. Zhang, J.
Ren, Q. Zhang, J. Liu, X Jiang, “Spatial
Context-aware Object-attentional Network for Multilabel Image Classification,” IEEE Transactions on Image Processing, vol. 32, 3000-3012, DOI: 10.1109/TIP.2023.3266161, 2023. [15] C.
Liu, X. Jiang, H. Ding “Instance-Specific Feature
Propagation for Referring Segmentation,” IEEE Transactions on Multimedia, vol. 25, 3657–3667, DOI: 10.1109/TMM.2022.3163578, 2023. [16] J. Wang, C. Zhou, S. Chen, J. Hu, M. Wu, X. Jiang, C. Xu, D. Qian, “Chromosome Detection in Metaphase Cell Images Using Morphological Priors,” IEEE Journal of Biomedical and Health Informatics, vol. 27. no. 9, 4579 – 4590, DOI: 10.1109/JBHI.2023.3286572, 2023. [17] Z. Zha, B. Wen, X. Yuan, J. Zhang, J. Zhou, X. Jiang, C.
Zhu, “Multiple
Complementary Priors for Multispectral Image Compressive Sensing
Reconstruction,” IEEE
Transactions on Cybernetics, DOI: 10.1109/TCYB.2023.3251730, 2023. [18] C.
Yao, J. Ren, R. Bai, H. Du, J. Liu, X. Jiang, “Mask
Attack Detection Using Vascular-weighted Motion-robust rPPG
Signals,” IEEE Transactions on Information Forensics
and Security, vol 18, 4313–4328, DOI: 10.1109/TIFS.2023.3293949,
2023. [19] Y. Duan, J. Ren, H. Yu, X. Jiang, “GAN-in-GAN for Monaural Speech Enhancement,” IEEE Signal Processing Letters, vol. 30, 853–857, DOI: 10.1109/LSP.2023.3293758, 2023. [20] H. Ding, H. Zhang, X. Jiang, “Self-Regularized
Prototypical Network for Few-Shot Semantic Segmentation,” Pattern
Recognition, vol. 133, 109018, DOI: 10.1016/j.patcog.2022.109018, 2023. [21] Y.
Tang, F. Duan, A. Zhou, P. Kanitthamniyom, S. Luo, X. Hu, X. Jiang, S. Vasoo, X. Zhang, Y. Zhang, “Image‐based
real‐time feedback control of magnetic digital microfluidics by artificial
intelligence‐empowered rapid object detector for automated in vitro
diagnostics,” Bioengineering & Translational Medicine, vol. 8, no. 4, e10428, DOI: 10.1002/btm2.10428, 2023. [22] L. Liu, X. Jiang, M. Saerbeck, J. Dauwels, “EAD-GAN: A Generative
Adversarial Network for Disentangling Affine Transforms in Images,” IEEE Transactions on Neural Networks and Learning
Systems, DOI: 10.1109/TNNLS.2022.3195533, 2022. [23] H. Li, X. Jiang,
B. Guan, R. Wang, N. Thalmann, “Multi-Stage Spatio-Temporal Networks for Robust Sketch Recognition,”
IEEE Transactions
on Image Processing, vol 31, 2683–2694, DOI 10.1109/TIP.2022.3160240, 2022. [24] H. Zhu, J. Zou, H. Zhang, Y. Shi, S. Luo, N. Wang, H. Cai, L. Wan, B. Wang, X. Jiang, J. Thompson, X. Luo, X. Zhou, L. Xiao, W. Huang, P. Lo, M. Gu, L. Kwek, A. Liu, “Space-Efficient Optical Computing With An Integrated Chip Diffractive Neural Network,” Nature Communications, 13, 1044, DOI: 10.1038/s41467-022-28702-0, 2022. [25] H. Ding, H.
Zhang, C. Liu, X. Jiang,
“Deep Interactive Image
Matting with Feature Propagation,” IEEE Transactions on Image Processing, vol
31, 2421–2432, DOI: 10.1109/TIP.2022.3155958, 2022. [26] J. Mei, X. Jiang, H. Ding, “Spatial
Feature Mapping for 6DoF Object Pose Estimation,” Pattern
Recognition, vol 131, 108835, DOI:
10.1016/j.patcog.2022.108835, 2022. [27] L. Liu, X. Jiang, M. Saerbeck, J. Dauwels, “Recurrent Affine Transform Encoder for Image Representation,” IEEE Access, vol 10, 18653-18666, DOI: 10.1109/ACCESS.2022.3150340, 2022. [28] H. Jiang, M. Esfahani, K. Wu, K. Wan, K. Heng, H. Wang, X. Jiang, “iTD3-CLN: Learn to navigate in dynamic scene through Deep Reinforcement Learning,” Neurocomputing, vol 503, 118-128, DOI: 10.1016/j.neucom.2022.06.102, 2022. [29] M. Hu, X. Qian, S. Liu, A.
Koh, K. Sim, X. Jiang, C. Guan, J. Zhou, “Structural
and diffusion MRI based schizophrenia classification using 2D pretrained and
3D naive Convolutional Neural Networks,” Schizophrenia Research,
vol 243, 330-341, DOI: 10.1016/j.schres.2021.06.011,
2022. [30] H. Li, X. Jiang,
B. Guan, R. Tan, R. Wang, N. Thalmann, “Joint Feature Optimization
and Fusion for Compressed Action Recognition,” IEEE
Transactions on Image Processing, vol 30, 7926-7937,
DOI: 10.1109/TIP.2021.3112008,
2021. [31] X. Wang, X. Jiang, H. Ding, Y. Zhao, J. Liu, “Knowledge-aware
Deep Framework for Collaborative Skin Lesion Segmentation and Melanoma
Recognition,” Pattern Recognition, vol 120, 108075, 2021. [32] H. Zhang, M. Gu, X.
Jiang, et al, “An Optical Neural Chip
for Implementing Complex-valued Neural Network,” Nature Communications, 12, 457,
2021. [33] V. Mishuhina, X. Jiang, “Complex
Common Spatial Patterns on Time-Frequency Decomposed EEG for Brain-Computer
Interface,” Pattern Recognition,
vol. 115, 107918, 2021. [34] H. Zhang, J. Thompson, M. Gu,
X. Jiang, et al,
“Efficient On-Chip
Training of Optical Neural Networks Using Genetic Algorithm,” ACS Photonics, 8, 6, 1662–1672, 2021. [35] K. Lim, X. Jiang, “Posterior
Approximation using Stochastic Gradient Ascent with Adaptive Step Size,” Pattern Recognition, vol. 112, 107783, 2021. [36] S. Luo, …, X.
Jiang, A. Liu,
“Rare
bioparticle detection via deep metric learning,” RSC Advances, 11, 17603-17610, DOI:10.1039/d1ra02869c 2021. [37] J. Ren, X. Jiang, “A
Three-Step Classification Framework to Handle Complex Data Distribution for
Radar UAV Detection,” Pattern Recognition, vol. 111, 107709, 2021. [38] S. Luo, …, X. Jiang, A. Liu, “Deep
Learning‐Enabled Imaging Flow Cytometry for High‐Speed Cryptosporidium and
Giardia Detection,” Cytometry Part A, vol 99, no. 11, 1123-1133, doi.org/10.1002/cyto.a.24321,
2021. [39] M. Hu, H.
Cheng, F. Ji, J. Chong, Z. Lu, W. Huang, K. Ang, K. Phua,
K. Chuang, X. Jiang, C. Guan, E. Chew, J. Zhou, “Brain
functional changes in stroke following rehabilitation using brain-computer
interface-assisted motor imagery with and without tDCS: a pilot study,” Frontiers in Human Neuroscience,
15, 692304, 2021. [40] S. Luo, et al, “Machine learning-assisted intelligent imaging flow cytometry: a review,” Advanced Intelligent Systems, vol. 3, no. 11, 2100073, DOI: 10.1002/aisy.202100073, 2021. [41] J. Weng, X. Jiang, W.
Zheng, J. Yuan “Early
Action Recognition with Category Exclusion Using Policy-based Reinforcement
Learning,” IEEE Transactions on Circuits and Systems for Video Technology,
vol. 30, no. 12, pp. 4626 - 4638, 2020. [42] H. Ding, X. Jiang, B.
Shuai, A. Liu, G. Wang, “Semantic Segmentation
with Context Encoding and Multi-Path Decoding,” IEEE
Transactions on Image Processing, vol. 29, pp. 3520 - 3533, 2020. [43]
J. Liu, H. Ding, A. Shahroudy, L.
Duan, X. Jiang, G. Wang, A. Kot, "Feature Boosting Network
For 3D Pose Estimation," IEEE Transactions on Pattern Analysis and
Machine Intelligence, vol. 42, no. 2, pp. 494-501, 2020. [44]
X. Wang, X. Jiang, H. Ding, J. Liu, “Bi-directional Dermoscopic Feature Learning and Multi-scale Consistent
Decision Fusion for Skin Lesion Segmentation,” IEEE Transactions on Image Processing, vol. 29, pp. 3039 - 3051, 2020. [45] B. Lei, Z.
Xia, F. Jiang, X. Jiang, Z. Ge, Y. Xu, J. Qin, S. Chen, T. Wang, S. Wang, “Skin
Lesion Segmentation via Generative Adversarial Networks with Dual
Discriminators,” Medical Image Analysis, Vol. 64, 2020. [46] K. Lim, X. Jiang, C. Yi, “Deep Clustering with
Variational Autoencoder,” IEEE Signal Processing Letters, vol. 27, pp. 231-235,
2020. [47] S. Luo, …, X. Jiang, A. Liu, “Machine
Learning-Based Pipeline for High Accuracy Bioparticle Sizing,” Micromachines, vol. 11, 1084, 2020. [48]
Z. Yu, X. Jiang, F. Zhou, J. Qin, D. Ni, S. Chen, B. Lei, T.
Wang, “Melanoma
Recognition in Dermoscopy Images via Aggregated
Deep Convolutional Features,” IEEE Transactions on Biomedical
Engineering, vol. 66, no. 4, pp. 1006-1016, 2019. [49] B. Shuai, H. Ding, T. Liu,
G. Wang, X. Jiang “Towards
Achieving Robust Low-level and High-level Scene Parsing,” IEEE
Transactions on Image Processing, vol. 28, no. 3, pp. 1378-1390,
2019. [50] X. Wang, X. Jiang, “Retinal
Vessel Segmentation by a Divide-and-conquer Funnel-structured Classification
Framework,”Signal Processing,
vol. 165, pp. 104-114,
2019. [51] J. Mei, X. Jiang, J. Cai, “Learning
Local Feature Representation from Matching, Clustering and Spatial Transform,”
Journal of Visual Communication and Image
Representation, vol. 63, 102601, 2019. [52] X. Wang, X. Jiang, J. Ren, “Blood
Vessel Segmentation from Fundus Image by a Cascade Classification Framework,” Pattern Recognition, vol. 88, pp. 331-341, 2019. [53] J. Mei, Z. Wu, X Chen, Y Qiao, H. Ding, X. Jiang, "DeepDeblur:
Text Image Recovery from Blur to Sharp," Multimedia Tools And
Applications, Vol. 78, no. 13, pp. 18869-18885, 2019. [54] S. Maadeed,
X. Jiang, I. Rida, A. Bouridane, “Palmprint identification
using sparse and dense hybrid representation,” Multimedia Tools and
Applications, Vol. 78, no. 5, pp. 5665-5679,
2019. [55]
Z. Lu, X. Jiang and
A. Kot, “Color
Space Construction by Optimizing Luminance and Chrominance Components for
Face Recognition,” Pattern Recognition, vol. 83, pp. 456-468, Nov 2018. [56]
V. Mishuhina and X. Jiang,
“Feature Weighting
and Regularization of Common Spatial Patterns in EEG-based Motor Imagery BCI,”
IEEE Signal Processing Letters, vol. 25, no. 6, pp. 783-787,
Jun 2018. [57]
Z. Lu, X. Jiang and
A. Kot, “Deep Coupled ResNet for Low-Resolution Face Recognition,” IEEE
Signal Processing letters, vol. 25, no. 4, pp. 526–530, Apr 2018. [58]
R. Huang and X.
Jiang, “Off-Feature
Information Incorporated Metric Learning for Face Recognition,” IEEE Signal Processing letters, vol. 25, no. 4, pp. 541–545, Apr 2018. [59] Z. Lu, X. Jiang and A. Kot, “Feature Fusion with Covariance Matrix Regularization in Face
Recognition,” Signal Processing, vol. 144, pp. 296–305,
Mar 2018. [60] J. Ren, X.
Jiang, J. Yuan and N. Thalmann, “Sound-Event
Classification Using Robust Texture Features for Robot Hearing,” IEEE
Transactions on Multimedia, vol. 19, no. 3, pp 447 – 458, Mar 2017. [61] Y. Song, E. Tan, X. Jiang, J.
Cheng, D. Ni, S. Chen, B. Lei, T. Wang, “Accurate Cervical Cell
Segmentation from Overlapping Clumps in Pap Smear Images,” IEEE
Transactions on Medical Imaging, vol. 36, no. 1, pp. 288 – 300,
Jan 2017. [62] J. Ren and X.
Jiang, “Regularized
2-D Complex-Log Spectral Analysis and Subspace Reliability Analysis of
Micro-Doppler Signature for UAV Detection,” Pattern
Recognition, vol. 69, pp.
225–237, Sep 2017. [63] J. Ren, X.
Jiang and J. Yuan, “LBP-Structure
Optimization with Symmetry and Uniformity Regularizations for Scene
Classification,” IEEE Signal
Processing letters, vol. 24, no. 1, pp.
37 - 41, Jan 2017. [64] B. Lei, W. Li, Y. Yao, X.
Jiang, E. Tan, J. Qin, S. Chen, D. Ni and T. Wang, “Multi-modal
and Multi-layout Discriminative Learning for Placental Maturity Staging,”
Pattern Recognition, vol. 63,
pp. 719–730, March 2017. [65] C. Weng, H. Wang, J. Yuan
and X. Jiang, “Discovering
Class-Specific Spatial Layouts for Scene Recognition,” IEEE Signal Processing letters, vol. 24, no.8, pp. 1143 – 1147,
Aug. 2017. [66] J. Lai and X. Jiang, “Class-wise
Sparse and Collaborative Patch Representation for Face Recognition,” IEEE
Transactions on Image Processing, vol. 25, no. 7, pp. 3261 - 3272, July 2016. © Codes © [67] Z. Miao, X. Jiang and K.
Yap, “Contrast
Invariant Interest Point Detection by Zero-Norm LoG
Filter,” IEEE Transactions on Image Processing,
vol. 25, no. 1, pp. 331 - 342, Jan. 2016. [68] I. Rida, X. Jiang and G. Marcialis, "Human
Body Part Selection by Group Lasso of Motion for Model-Free Gait Recognition,"
IEEE Signal Processing letters, vol. 23, no. 1, pp. 154 - 158, Jan. 2016. [69] X. Jiang and J. Lai, “Sparse And
Dense Hybrid Representation via Dictionary Decomposition for Face Recognition,”
IEEE Transactions on Pattern Analysis and Machine
Intelligence,
vol.
37, no. 5, pp. 1067-1079, May, 2015. © Codes © [70]
J. Ren, X. Jiang and J. Yuan, "LBP
Encoding Schemes Jointly Utilizing the Information of Current Bit and Other
LBP Bits," IEEE Signal Processing letters, vol. 22, no. 12, pp. 2373 - 2377, Dec. 2015. [71] J. Ren, X. Jiang and J.
Yuan, “A Chi-Squared-Transformed
Subspace of LBP Histogram for Visual Recognition,” IEEE
Transactions on Image Processing, vol. 24, no. 6, pp. 1893-1904, June, 2015. [72] Z. Lu, X. Jiang and A. Kot, “A Color Channel Fusion Approach for Face Recognition,” IEEE Signal Processing letters, vol. 22, no. 11, pp. 1839 - 1843, Nov. 2015. [73] J. Ren, X. Jiang and J.
Yuan, “Learning
LBP Structure by Maximizing the Conditional Mutual Information,” Pattern
Recognition, vol. 48, no. 10, pp. 3180 - 3190, Oct. 2015. [74] J. Ren, X. Jiang, J. Yuan and W. Gang, "Optimizing
LBP Structure for Visual Recognition Using Binary Quadratic Programming,"
IEEE
Signal Processing letters, vol. 21, no. 11, pp. 1346-1350, Nov. 2014. [75] A. Satpathy,
X. Jiang and H. Eng, “LBP Based
Edge-Texture Features for Object Recognition,” IEEE
Transactions on Image Processing, vol. 23, no. 5, pp.
1953-1964, May, 2014. [76]
Z. Miao and X. Jiang, “Additive And
Exclusive Noise Suppression by Iterative Trimmed And Truncated Mean Algorithm,”
Signal
Processing, vol. 99, pp. 147-158, June, 2014. © Codes © [77]
A. Satpathy, X. Jiang and
H. Eng, “Human
Detection by Quadratic Classification on Subspace of Extended Histogram of
Gradients,” IEEE Transactions on Image Processing,
vol. 23, no. 1, pp. 287-297, January, 2014. © Codes(Matlab) © [78]
Z. Miao and X. Jiang, “Interest
Point Detection Using Rank Order LoG Filter,” Pattern
Recognition, vol. 46, no. 11, pp. 2890-2901,
November 2013. [79]
J. Ren, X. Jiang and J. Yuan, “Noise-Resistant
Local Binary Pattern with an Embedded Error-Correction Mechanism,” IEEE
Transactions on Image Processing, vol. 22, no. 10, pp.
4049-4060, October, 2013. [80]
F. Ou, N. Rao, X. Jiang, M.
Qian, W. Feng, L. Yin, X. Chen, “Analysis
on Differential Gene Expression Data for Prediction of New Biological
Features in Permanent Atrial Fibrillation,” PLoS
ONE, vol. 8, no. 10, pp. 1-8, e76166,
doi:10.1371/journal.pone.0076166, Oct. 2013. [81]
Z. Miao and X. Jiang, “Weighted
Iterative Truncated Mean Filter,” IEEE Transactions on Signal
Processing, Vol. 61, no. 16, pp. 4149-4160, August, 2013. © Codes © [82] C.
Geng and X. Jiang, “Fully
Automatic Face Recognition Framework based on Local and Global Features,”
Machine Vision and Applications, vol.
24, no. 3,
pp. 537-549, April 2013. [83] J. Ren, X. Jiang and J.
Yuan, “A
Complete and Fully Automated Face Verification System on Mobile Devices,” Pattern
Recognition, vol. 46, no. 1, pp. 45-56 January 2013. [84] Z. Miao and X. Jiang, “Further
Properties and a Fast Realization of the Iterative Truncated Arithmetic Mean
Filter” IEEE Transactions on Circuits and Systems-II, vol. 59,
no. 11, pp. 810-814, November 2012. © Codes © [85] J.
Lai and X.
Jiang, “Modular
Weighted Global Sparse Representation for Robust Face Recognition,” IEEE
Signal Processing letters, vol. 19, no. 9, pp. 571-574, September 2012. [86] X. Jiang, "Iterative
Truncated Arithmetic Mean Filter And Its Properties," IEEE Transactions on Image Processing, vol. 21, no. 4, pp. 1537-1547, April 2012. © Codes © [87] H. Yang, A. Kot and X. Jiang, “Binarization
of
Low-Quality Barcode Images Captured by Mobile Phones Using Local Window of
Adaptive Location and Size,” IEEE Transactions on Image Processing,
vol. 21, no. 1, pp. 418-425, January 2012. [88] X. Jiang,
"Linear
Subspace Learning-Based Dimensionality Reduction," IEEE
Signal Processing Magazine, vol. 28, no. 2, pp. 16-26, March 2011. [89] C. Geng and X. Jiang, “Face
Recognition Based on the Multi-scale Local Image Structures,” Pattern Recognition, vol. 44, no. 10-11, pp. 2565-2575, October-November 2011. [90] C. Wee, R. Paramesran,
R. Mukundan and X. Jiang, "Image
Quality Assessment by Discrete Orthogonal Moments," Pattern Recognition, vol. 43, no. 12, pp. 4055-4068, December 2010. [91] P. Yap, X. Jiang and A. Kot, "Two
Dimensional Polar Harmonic Transforms for Invariant Image Representation,"
IEEE Transactions on Pattern Analysis and Machine
Intelligence,
vol. 32, no. 7, pp. 1259-1270, July 2010. © Codes © [92] B. Mandal, X.D Jiang, H. Eng
and A. Kot, "Prediction
of Eigenvalues and Regularization of Eigenfeatures for Human Face
Verification," Pattern
Recognition Letters, vol. 31, no. 8, pp. 717-724, June 2010. [93] X. Jiang, "Asymmetric Principal Component and Discriminant Analyses for
Pattern Classification," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 31, no. 5, pp.
931-937, May 2009. [94] M. Liu, X. Jiang and A. Kot, A
Multi-Prototype Clustering Algorithm, Pattern Recognition, vol. 42, no. 5, pp. 689-698,
May 2009. [95] N. Sudha, N. Puhan, X. Hua and X.
Jiang, Iris Recognition on Edge Maps, IET Computer Vision, vol.
3, no. 1, pp. 1-7, March 2009. [96] X. Jiang, B. Mandal and A. Kot, Complete Discriminant Evaluation and Feature Extraction in
Kernel Space for Face Recognition, Machine
Vision and Applications, vol. 20, no. 1, pp. 35-46, January 2009. [97] X. Jiang, B. Mandal and A. Kot, Eigenfeature Regularization and Extraction in Face Recognition,
IEEE
Transactions on Pattern Analysis and Machine Intelligence, vol. 30, no. 3, pp.
383-394, March 2008. [98] M. Liu, X. Jiang and A. Kot, Efficient Fingerprint Search Based on Database Clustering, Pattern Recognition, vol. 40, no. 6, pp. 1793-1803, June 2007. [99] X. Jiang, Extracting Image Orientation Feature by Using Integration
Operator, Pattern Recognition, vol. 40, no. 2, pp. 705-717,
February 2007. [100]
X. Jiang, M. Liu and
A. Kot, Fingerprint
Retrieval for Identification, IEEE
Transactions on Information Forensics and Security, vol. 1, no. 4, pp.
532-542,
December
2006. [101]
X. Jiang, B. Mandal and A. Kot, Enhanced
Maximum Likelihood Face Recognition, Electronics Letters,
vol. 42, no. 19, pp. 1089-1090,
September
2006. [102]
X. Jiang, On Orientation and Anisotropy Estimation for Online Fingerprint
Authentication, IEEE
Transactions on Signal Processing, vol. 53, no. 10, pp. 4038- 4049,
October 2005. [103]
W. Xiong,
K.Toh, W. Yau and X. Jiang, Model-Guided
Deformable Hand Shape Recognition Without Positioning Aids, Pattern Recognition, vol. 38, no. 10, pp. 1651-1664,
October 2005. [104]
M. Liu, X. Jiang and A. Kot, Fingerprint
Reference Point Detection, EURASIP Journal on Applied Signal Processing, vol. 2005, no. 4, pp.
498-509, April 2005. [105]
K. Toh, X. Jiang and W.
Yau, Exploiting Global and Local Decisions for Multi-Modal
Biometrics Verification, IEEE Transactions on Signal
processing, vol. 52, no. 10,
pp. 3059-3072, October 2004. [106]
K. Toh, W. Yau and X. Jiang, A Reduced Multivariate Polynomial Model for Multimodal
Biometrics And Classifiers Fusion, IEEE Transactions on
Circuits and Systems for Video Technology, vol. 14, no. 2, pp.
224-233, February 2004. [107]
X. Jiang, Image
Detail-preserving Filter for Impulsive Noise Attenuation, IEE Proceedings: Vision, Image and Signal
Processing,
vol. 150, no. 3, pp. 179-185, June 2003. [108]
X. Jiang and A. Kam, Constructing and Training Feed-Forward Neural Networks for
Pattern Classification, Pattern Recognition, vol. 36, no. 4,
pp. 853-867, April 2003. [109]
X. Jiang and W. Ser, Online Fingerprint Template Improvement, IEEE Transactions on
Pattern Analysis and Machine Intelligence, vol. 24, no. 8, pp. 1121-1126, August 2002. [110]
X. Jiang, W. Yau and W. Ser, Detecting the Fingerprint Minutiae by Adaptive Tracing the
Gray Level Ridge Pattern Recognition, vol. 34, no. 5,
pp. 999-1013, May 2001. Current Research
Areas: ·
Computer
Vision ·
Machine
Learning ·
Pattern
Recognition ·
Image and
Signal analysis ·
Face
Recognition and Biometrics Service: ·
Senior Area Editor for IEEE
Transactions on Image Processing, IEEE, USA ·
Associate Editor for IEEE
Transactions on Image Processing, IEEE, USA ·
Associate Editor for IEEE
Signal Processing Letter, IEEE, USA ·
Editor-in-Chief for IET Biometrics, IET, UK ·
Elected voting TC member: IEEE Signal Processing Society Information
Forensic and Security Technical Committee Positions are available at the ROSE
Lab: http://rose.ntu.edu.sg/about%20us/Pages/Join-Us.aspx Students
and visitors interested in the above areas please contact me at email: exdjiang@ntu.edu.sg ; xudongjiang@ieee.org Phone: (65) 6790 5018 Fax: (65) 6793 3318 Office and postal address: S1-B1c-105, EEE, NTU, 50 Nanyang Avenue,
Singapore 639798 |
||
|
|
||
