Conference proceedings:
[C-38] W. Guo, P. Lu, Xujun Peng, Z. Zhao, J. Qiu and X. Dong, “BCSCN: Reducing Domain Gap through Bézier Curve basis-based Sparse Coding Network for Single-Image Super-Resolution”, 32nd ACM International Conference on Multimedia (ACM-MM), pages 4881-4889, 2024.
[C-37] J. Qiu, P. Lu, Xujun Peng, W. Guo, Z. Zhao and X. Dong, “Learning Realistic Sketching: A Dual-agent Reinforcement Learning Approach”, 32nd ACM International Conference on Multimedia (ACM-MM), pages 5921-5929, 2024.
[C-36] J. Jia, A. Komma, T. Leffel, Xujun Peng, A. Nagesh, T. Soliman, A. Galstyan and A. Kumar, “Leveraging LLMs for Dialogue Quality Measurement”, Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL) - Industry Track, pages 359-367, 2024.
[C-35] W. Yin, P. Lu and Xujun Peng, “ColorFlow: A Conditional Normalizing Flow for Image Colorization”, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pages 2735-2739, 2024.
[C-34] J. Qiu, P. Lu and Xujun Peng, “Learning to Draw through A Multi-stage Environment Model Based Reinforcement Learning”, 30th IEEE International Conference on Image Processing (ICIP), pages 1240-1244, 2023.
[C-33] W. Wang, P. Lu, Xujun Peng, W. Yin and Z. Zhao, “RLSCNet: A Residual Line-shaped Convolutional Network for Vanishing Point Detection”, 29th International Conference on Multimedia Modeling (MMM), pages 103-114, 2023.
[C-32] W. Yin, P. Lu, Z. Zhao and Xujun Peng, “Yes, ‘Attention Is All You Need’, for Exemplar based Colorization”, 29th ACM International Conference on Multimedia (ACM-MM), pages 2243-2251, 2021.
[C-31] P. Lu, J. Liu, Xujun Peng and X. Wang, “Weakly Supervised Real-time Image Cropping based on Aesthetic Distributions”, 28th ACM International Conference on Multimedia (ACM-MM), pages 120-128, 2020.
[C-30] P. Lu, J. Yu, Xujun Peng, Z. Zhao and X. Wang, “Gray2ColorNet: Transfer More Colors from Reference Image”, 28th ACM International Conference on Multimedia (ACM-MM), pages 3210-3218, 2020.
[C-29] Xujun Peng and C. Wang, “Camera Captured DIQA with Linearity and Monotonicity Constraints”, 14th IAPR International Workshop on Document Analysis Systems (DAS), pages 168-181, 2020.
[C-28] Xujun Peng and C. Wang, “Building Super-Resolution Image Generator for OCR Accuracy Improvement”, 14th IAPR International Workshop on Document Analysis Systems (DAS), pages 145-160, 2020.
[C-27] M. Li, Y. Lin, A. Subburathinam, S. Whitehead, Q. Wang, D. Lu, X. Pan, T. Zhang, L. Huang, H. Ji, A. Zareian, H. Akbari, B. Chen, B. Wu, E. Allaway, S. Chang, K. McKeown, Y. Yao, J. Chen, E. Berquist, K. Sun, Xujun Peng, R. Gabbard, M. Freedman, M. Kejriwal, R. Nevatia, P. Szekely, T.K. Kumar, A. Sadeghian, G. Bergami, S. Dutta, M. Rodriguez, D.Z. Wang, “GAIA at SM-KBP 2019 - A Multi-media Multi-lingual Knowledge Extraction and Hypothesis Generation System”, Proceedings of the 12th Text Analysis Conference (TAC), 2019.
[C-26] Xujun Peng, C. Wang and H. Cao, “Document Binarization via Multi-Resolutional Attention Model with DRD Loss”, 15th International Conference on Document Analysis and Recognition (ICDAR), pages 45-50, 2019.
[C-25] T. Zhang, A. Subburathinam, G. Shi, L. Huang, D. Lu, X. Pan, M. Li, B. Zhang, Q. Wang, S. Whitehead, H. Ji, A. Zareian, H. Akbari, B. Chen, R. Zhong, S. Shao, E. Allaway, S. Chang, K. McKeown, D. Li, X. Huang, Xujun Peng, R. Gabbard, M. Freedman, A. Sadeghian, M. Kejriwal, R. Nevatia, P. Szekely, A. Sadeghian and D. Wang, “GAIA - A Multi-media Multi-lingual Knowledge Extraction and Hypothesis Generation System”, Proceedings of the 11th Text Analysis Conference (TAC), 2018.
[C-24] P. Lu, J. Yu and Xujun Peng, “Deep Conditional Color Harmony Model for Image Aesthetic Assessment”, 24th International Conference on Pattern Recognition (ICPR), pages 2845-2850, 2018.
[C-23] Xujun Peng, H. Cao and P. Natarajan, “Using Convolutional Encoder-Decoder for Document Image Binarization”, 14th International Conference on Document Analysis and Recognition (ICDAR), pages 708-713, 2017.
[C-22] Xujun Peng, H. Cao and P. Natarajan, “Document Image Quality Assessment Using Discriminative Sparse Representation”, 12th IAPR International Workshop on Document Analysis Systems (DAS), pages 227-232, 2016.
[C-21] Xujun Peng, H. Cao and P. Natarajan, “Document Image OCR Accuracy Prediction via Latent Dirichlet Allocation”, 13th International Conference on Document Analysis and Recognition (ICDAR), pages 771-775, 2015.
[C-20] Xujun Peng, H. Cao and P. Natarajan, “Boost OCR Accuracy Using iVector based System Combination Approach”, IS&T/SPIE Proc. Document Recognition and Retrieval XXII (DRR), Vol. 9402, pages 94020E-1-8, 2015.
[C-19] P. Lu, Z. Kuang, Xujun Peng and R. Li, “Discovering Harmony: A Hierarchical Colour Harmony Model for Aesthetics Assessment”, 12th Asian Conference on Computer Vision (ACCV), Vol. 3, pages 452-467, 2014.
[C-18] H. Cao, P. Natarajan, Xujun Peng, K. Subramanian, D. Belanger and N. Li, “Progress in the Raytheon BBN Arabic Offline Handwriting Recognition System”, 14th International Conference on Frontiers in Handwriting Recognition (ICFHR), pages 555-560, 2014.
[C-17] A. Jain, Xujun Peng, X. Zhuang, P. Natarajan and H. Cao, “Text Detection and Recognition in Natural Scenes and Consumer Videos”, 39th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pages 1254-1258, 2014.
[C-16] S. Zha, Xujun Peng, H. Cao, X. Zhuang, P. Natarajan and P. Natarajan, “Text Classification via iVector Based Feature Representation”, 11th IAPR International Workshop on Document Analysis Systems (DAS), pages 151-155, 2014.
[C-15] Xujun Peng, H. Cao, K. Subramanian, R. Prasad and P. Natarajan, “Exploiting Stroke Orientation for CRF based Binarization of Historical Documents”, 12th International Conference on Document Analysis and Recognition (ICDAR), pages 1034-1038, 2013.
[C-14] Xujun Peng, H. Cao, S. Setlur, V. Govindaraju and P. Natarajan, “Multilingual OCR Research and Applications: An Overview”, 4th International Workshop on Multilingual OCR (MOCR), pages 1:1-1:8, 2013.
[C-13] H. Cao, K. Subramanian, Xujun Peng, J. Chen, R. Prasad and P. Natarajan, “Extracting Information from Handwritten Content in Census Forms”, 21st International Conference on Pattern Recognition (ICPR), pages 306-309, 2012.
[C-12] Xujun Peng, H. Cao, K. Subramanian, E. Boschee, R. Prasad and P. Natarajan, “Information Extraction from Historical Semi-Structured Handwritten Documents”, 12th Workshop on Family History Technology, pages 20-24, 2012.
[C-11] Xujun Peng, H. Cao, K. Subramanian, R. Prasad and P. Natarajan, “An Effective Method for Extracting Family Records from Mixed-type Form”, 12th Workshop on Family History Technology, pages 25-28, 2012.
[C-10] K. Subramanian, H. Cao, Xujun Peng, R. Prasad and P. Natarajan, “Image Registration and Text Recognition for Structured Census Documents”, 12th Workshop on Family History Technology, pages 35-38, 2012.
[C-9] Xujun Peng, H. Cao, R. Prasad and P. Natarajan, “Text Extraction from Video Using Conditional Random Fields”, 11th International Conference on Document Analysis and Recognition (ICDAR), pages 1029-1033, 2011.
[C-8] Xujun Peng, H. Cao, K. Subramanian, R. Prasad and P. Natarajan, “Automated Image Quality Assessment for Camera-Captured OCR”, 18th IEEE International Conference on Image Processing (ICIP), pages 2669-2672, 2011.
[C-7] Xujun Peng, S. Setlur, V. Govindaraju and R. Sitaram, “Binarization of Camera-Captured Document Using A MAP Approach”, IS&T/SPIE Proc. Document Recognition and Retrieval XVIII (DRR), Vol. 7874, pages 78740R-1-8, 2011.
[C-6] Xujun Peng, S. Setlur, V. Govindaraju and R. Sitaram, “Markov Random Field Based Binarization for Hand-held Devices Captured Document Images”, 7th India Conference on Computer Vision, Graphics and Image Processing (ICVGIP), pages 71-76, 2010.
[C-5] Xujun Peng, S. Setlur, V. Govindaraju and R. Sitaram, “Text Separation from Mixed Documents Using a Tree-structured Classifier”, 20th International Conference on Pattern Recognition (ICPR), pages 241-244, 2010. (IBM Best Student Paper Award)
[C-4] Xujun Peng, S. Setlur, V. Govindaraju and R. Sitaram, “Overlapped text Segmentation Using Markov Random Field and Aggregation”, 9th IAPR International Workshop on Document Analysis Systems (DAS), pages 129-134, 2010.
[C-3] Xujun Peng, S. Setlur, V. Govindaraju, R. Sitaram and K. Bhuvanagiri, “Markov Random Field Based Text Identification from Annotated Machine Printed Documents”, 10th International Conference on Document Analysis and Recognition (ICDAR), pages 431-435, 2009. (Best Paper Award)
[C-2] Xujun Peng, S. Setlur, V. Govindaraju and R. Sitaram, “Text Identification from Mixed Documents Using Weighted Features”, 14th Conference of the International Graphonomics Society, pages 246-249, 2009.
[C-1] M. Tang, Xujun Peng, Z. Zhang, Y. Zhang and Y. Duan, “3D Pose Estimation by Matching CAD Data to Single Image”, SPIE Proc. MIPPR: SAR and Multispectral Image Processing, Vol 6043, pages 423-429, 2005.
Journals:
[J-23] Z. Zhao, P. Lu, Xujun Peng and W. Guo, “Self-supervised Photographic Image Layout Representation Learning”, IEEE Transactions on Multimedia, Vol. ***, pages ***, 2025.
[J-22] W. Guo, P. Lu, Xujun Peng and Z. Zhao, “Learnable Adaptive Bilateral Filter for Improved Generalization in Single Image Super-Resolution”, Pattern Recognition, Vol. 162, pages 111396, 2025.
[J-21] W. Yin, P. Lu, Xujun Peng, Z. Zhao and J. Yu, “Hierarchical Color Fusion Network (HCFN): Enhancing Exemplar-based Video Colorization”, Neurocomputing, Vol. 598, pages 128121, 2024.
[J-20] P. Lu, H. Zhang, Xujun Peng and X. Jin, “Learning the Relation between Interested Objects and Aesthetic Region for Image Cropping”, IEEE Transactions on Multimedia, Vol. 23, pages 3618 - 3630, 2021.
[J-19] P. Lu, H. Zhang, Xujun Peng and X. Peng, “Aesthetic Guided Deep Regression Network for Image Cropping”, Signal Processing: Image Communication, Vol. 77, pages 1-10, 2019.
[J-18] P. Lu, Xujun Peng, J. Yu and X. Peng, “Gated CNN for Visual Quality Assessment Based on Color Perception”, Signal Processing: Image Communication, Vol. 72, pages 105-112, 2019.
[J-17] P. Lu, Xujun Peng, C. Yuan, R. Li and X. Wang, “Image Color Harmony Modeling through Neighbored Co-occurrence Colors”, Neurocomputing, Vol 201, pages 82-91, 2016.
[J-16] P. Lu, Xujun Peng, X. Zhu and R. Li, “An EL-LDA based General Color Harmony Model for Photo Aesthetics Assessment”, Signal Processing, Vol. 120, pages 731-745, 2016.
[J-15] P.Lu, Xujun Peng, R. Li and X. Wang, “Towards Aesthetics of Image: A Bayesian Framework for Color Harmony Modeling”, Signal Processing: Image Communication, Vol. 39, pages 487-498, 2015.
[J-14] G. Wang, H. Chu, Y. Zhang, H. Chen, W. Hu, Y. Li and Xujun Peng, “Multiple Parameter Control for Ant Colony Optimization Applied to Feature Selection Problem”, Neural Computing and Applications, Vol. 26, No. 7, pages 1693-1708, 2015.
[J-13] P. Lu, Xujun Peng, X. Zhu and R. Li, “Finding More Relevance: Propagating Similarity on Markov Random Field for Image Retrieval”, Signal Processing: Image Communication, Vol. 32, pages 54-68, 2015.
[J-12] X. Zhu, X. Gao, J. Ding, Xujun Peng and H. Dong, “Performance Analysis of Random Angle based Quantization Modulation”, International Journal of Electronics and Communications, Vol. 68, No. 8, pages 737-746, 2014.
[J-11] Xujun Peng, S. Setlur, V. Govindaraju and R. Sitaram, “Handwritten Text Separation from Annotated Machine Printed Documents Using Markov Random Fields”, International Journal of Document Analysis and Recognition (IJDAR), Vol. 16, No. 1, pages 1-16, 2013. (Invited paper)
[J-10] Xujun Peng, S. Setlur, V. Govindaraju and R. Sitaram. “Using a Boosted Tree Classifier for Text Segmentation in Hand-Annotated Documents”, Pattern Recognition Letters (PRL), Vol. 33, No. 7, pages 943-950, 2012. (Invited Paper)
[J-9] C. Jia, S. Wang, Xujun Peng, W. Pang, C. Zhang, C. Zhou and Z. Yu, “Incremental Multilinear Discriminant Analysis Using Canonical Correlations for Action Recognition”, Neurocomputing, Vol. 83, pages 56-63, 2012.
[J-8] S. Wang, J. Yang, M. Sun, Xujun Peng, M. Sun and C. Zhou, “Sparse Tensor Discriminant Color Space for Face Verification”, IEEE Transactions on Neural Networks and Learning Systems, Vol. 23, No. 6, pages 876-888, 2012.
[J-7] S. Wang, H. Chen, Xujun Peng and C. Zhou. “Exponential Locality Preserving Projections for Small Sample Size Problem”, Neurocomputing, Vol. 74, No. 17, pages 3654-3662, 2011.
[J-6] S. Wang, C. Zhou, Y. Chen, Xujun Peng, H. Chen, G. Wang and X. Liu, “A Novel Face Recognition Method Based on Sub-pattern and Tensor”, Neurocomputing, Vol. 74, No. 17, pages 3553-3564, 2011.
[J-5] S. Wang, C. Zhou, N. Zhang, Xujun Peng, Y. Chen and X. Liu, “Face Recognition using Second Order Discriminant Tensor Subspace Analysis”, Neurocomputing, Vol. 74, No. 12-13, pages 2142-2156, 2011.
[J-4] S. Wang, C. Zhou, M. Sun, H. Chen, X. Liu and Xujun Peng, “Can Estimate Age Range Using 'a Face a Person'?”, Journal of Computational Information System, Vol. 7, No. 13, pages 4586-4593, 2011.
[J-3] S. Wang, N. Zhang, Xujun Peng and C. Zhou, “Two-dimensional Locality Preserving Projection Based on Maximum Scatter Difference”, Journal of Information and Computational Science, Vol. 8, No. 3, pages 484-494, 2011.
[J-2] Xujun Peng and G. Zhang, “Motion Estimation Based on Object’s Edges”, Computer & Digital Engineering, Vol. 32, No. 2, 2004. (In Chinese)
[J-1] Xujun Peng and G. Zhang, “Restoration of High Resolution Image Based on Gibbs Model”, Infrared & Laser Engineering, Vol. 32, No. 6, pages 613-616, 2003. (In Chinese)