List of Publications of Longin Jan Latecki (h-index ≥ 54, i10-index ≥ 140, i100-index ≥ 20)
Journal Articles (all peer reviewed)
2020 1. Daniel Pedronette and Longin Jan Latecki. Rank-based Self-Training for Graph Convolutional Networks. J. of Information Processing and Management. Accepted December 2020. 2. Quan Zhou, Yu Wang, Yawen Fan, Xiaofu Wu, Suofei Zhang, Bin Kang, Longin Jan Latecki. ALEDNet: Towards Real-time Semantic Segmentation of Self-driving Images via Attention- guided Lightweight Encoder-decoder Network. J. of Applied Soft Computing, accepted August 2020. pdf 3. Ilyass Abouelaziz, Aladine Chetouani, Mohammed El Hassouni, Longin Jan Latecki, and Hocine Cherifi. No-Reference Mesh Visual Quality Assessment via Ensemble of Convolutional Neural Networks and Compact Multi-Linear Pooling. Pattern Recognition, Vol. 100, April 2020. pdf
2019 4. Ilyass Abouelaziz, Aladine Chetouani, Mohammed El Hassouni, Longin Jan Latecki, and Hocine Cherifi. 3D Visual Saliency and Convolutional Neural Network for Blind Mesh Quality Assessment. Neural Computing and Applications, published online Oct 2019. pdf 5. Quan Zhou, Yu Wang, Jia Liu, Xin Jin, and Longin Jan Latecki. An open-source project for real- time image semantic segmentation. SCIENCE CHINA Information Sciences, 62(12), Nov 2019. pdf 6. Quan Zhou, Wenbing Yang, Guangwei Gao, Weihua Ou, Huimin Lu, Jie Chen, and Longin Jan Latecki. Multi-scale deep context convolutional neural networks for semantic segmentation. World Wide Web Journal. Special Issue on Deep vs. Shallow: Learning for Emerging Web-scale Data Computing and Applications, Vol. 22, Issue 2, pp 555–570, March 2019. pdf 7. Song Bai, Xiang Bai, Qi Tian, and Longin Jan Latecki. Regularized Diffusion Process on Bidirectional Context for Object Retrieval. IEEE Trans. Pattern Analysis and Machine Intelligence (PAMI), Vol. 41, Issue 5, pp. 1213-1226, May 2019. pdf code 8. Chao Li, Xinggang Wang, Wenyu Liu, Longin Jan Latecki, Bo Wang, Junzhou Huang. Weakly Supervised Mitosis Detection in Breast Histopathology Images using Concentric Loss. Medical Image Analysis, Vol. 53, pp. 165-178, April 2019. pdf 9. Zongxiao Zhu, Cong Rao, Song Bai, and Longin Jan Latecki. Training convolutional neural network from multi-domain contour images for 3D shape retrieval. Pattern Recognition Letters, Vol. 119, pp. 41-48, March 2019. pdf 10. Song Bai, Zhichao Zhou, Jingdong Wang, Xiang Bai, Longin Jan Latecki, and Qi Tian. Automatic Ensemble Diffusion for 3D Shape and Image Retrieval. IEEE Trans. Image Processing (IP), 28(1), pp. 88-101, January 2019. pdf code 2 Dr. Longin Jan Latecki [email protected]
2018 11. Quan Zhou, Jie Cheng, Huimin Lu, Yawen Fan, Suofei Zhan, Xiaofu Wu, Baoyu Zheng, Weihua Ou, and Longin Jan Latecki. Learning adaptive contrast combinations for visual saliency detection. Multimedia Tools and Applications, published online Nov 2018. pdf 12. Quan Zhou, Cheng Zhang, Wenbin Yu, Yawen Fan, Hu Zhu, Xiaofu Wu, Weihua Ou, Weiping Zhu, and Longin Jan Latecki. Face recognition via fast dense correspondence. Multimedia Tools and Applications, 77(9), pp. 10501-10519, May 2018. pdf 13. Chao Li, Xinggang Wang, Wenyu Liu, Longin Jan Latecki. DeepMitosis: Mitosis Detection via Deep Detection, Verification and Segmentation Networks. Medical Image Analysis, Vol. 45, pp. 121-133, April 2018. pdf
2017 14. Song Bai, Xiang Bai, Zhichao Zhou, Zhaoxiang Zhang, Qi Tian, Longin Jan Latecki. GIFT: Towards Scalable 3D Shape Retrieval. IEEE Trans. on Multimedia, Vol. 19, Issue 6, pp. 1257- 1271, June 2017. pdf 15. Zhuo Deng, Sinisa Todorovic, and Longin Jan Latecki. Unsupervised Object Region Proposals for RGB-D Indoor Scenes. Computer Vision and Image Understanding, Volume 154, Issue C, pp. 127-136, January 2017. pdf
2016 16. Quan Zhou, Baoyu Zheng, Weiping Zhu, and Longin Jan Latecki. Multi-scale Context for Scene Labeling via Flexible Segmentation Graph. Pattern Recognition, Vol. 59, pp. 312–324, September 2016. pdf 17. Yu Zhou, Xiang Bai, Wenyu Liu, and Longin Jan Latecki. Similarity Fusion for Visual Tracking. International Journal of Computer Vision (IJCV), 118(3), pp. 337-363, January 2016. pdf
2015 18. Xiang Bai, Song Bai, Zhuotun Zhu, and Longin Jan Latecki. 3D Shape Matching via Two Layer Coding. IEEE Trans. Pattern Analysis and Machine Intelligence (PAMI), Vol. 37(12), pp. 2361 – 2373, December 2015. pdf 19. Nagesh Adluru, Xingwei Yang, Longin Jan Latecki. Sequential Monte Carlo for Maximum Weight Subgraphs with Application to Solving Image Jigsaw Puzzles. International Journal of Computer Vision (IJCV), Vol. 112, Issue 3, pp. 319-341, April 2015. pdf 20. Hairong Liu, Longin Jan Latecki, and Shuicheng Yan. Dense Subgraph Partition of Positive Hypergraph. IEEE Trans. Pattern Analysis and Machine Intelligence (PAMI), Vol. 37, Issue 3, pp. 541-554, March 2015. pdf proofs 3 Dr. Longin Jan Latecki [email protected]
2014 21. Xinggang Wang, Bin Feng, Xiang Bai, Wenyu Liu, and Longin Jan Latecki. Bag of Contour Fragments for Robust Shape Classification. Pattern Recognition, Vol. 47, Issue 6, pp. 2116– 2125, June 2014. pdf 22. Yu Zhou, Yinfei Yang, Meng Yi, Xiang Bai, Wenyu Liu, Longin Jan Latecki. Online Multiple Targets Detection and Tracking from Mobile Robot in Cluttered Indoor Environments with Depth Camera. International Journal of Pattern Recognition and Artificial Intelligence (IJPRAI), vol. 28, No. 1, March 2014. pdf
2013 23. Hairong Liu, Longin Jan Latecki, and Shuicheng Yan. Fast Detection of Dense Subgraphs with Iterative Shrinking and Expansion. IEEE Trans. Pattern Analysis and Machine Intelligence (PAMI), vol. 35, no. 9, pp. 2131-2142, September 2013. pdf 24. Xingwei Yang, Xiang Bai, Suzan Koknar-Tezel, Longin Jan Latecki. Densifying Distance Spaces for Shape and Image Retrieval. Journal of Mathematical Imaging and Vision (JMIV), Vol. 46, Issue 1, pp 12-28, May 2013. pdf 25. Wei Shen, Xiang Bai, Xingwei Yang and Longin Jan Latecki. Skeleton pruning as trade-off between skeleton simplicity and reconstruction error. SCIENCE CHINA, April 2013, Vol. 56, No. 1, pp 1–18. pdf 26. Wei Shen, Yan Wang, Xiang Bai, Hongyuan Wang, Longin Jan Latecki. Shape Clustering: Common Structure Discovery. Pattern Recognition, 46(2), pp. 539 – 550, February 2013. pdf 27. Xingwei Yang, Lakshman Prasad, and Longin Jan Latecki. Affinity Learning with Diffusion on Tensor Product Graph. IEEE Trans. Pattern Analysis and Machine Intelligence (PAMI), Vol. 35, No. 1, pp. 28 – 38, January 2013. pdf 28. Wei Shen, Bo Wang, Xiang Bai, and Longin Jan Latecki. Face Identification Using Reference- based Features with Message Passing Model. Neurocomputing, 99, pp. 339-346, January 2013. pdf
2012 29. Marko Petkovic, David Porkajac, and Longin Jan Latecki. Spherical coverage verification. Applied Mathematics and Computation, 218(19), pp. 9699-9715, December 2012. pdf 30. Yunfeng Li, Tadamasa Sawada, Longin Jan Latecki, Robert Steinman, Zygmunt Pizlo. A tutorial explaining a machine vision model that emulates human performance when it recovers natural 3D scenes from 2D images. Journal of Mathematical Psychology, 56(4), pp. 217–231, August 2012. pdf 31. Jingting Zeng, Haibin Ling, Longin Jan Latecki, Shanon Fitzhugh, and Guodong Guo. Analysis of Facial Images across Age Progression by Humans. ISRN Machine Vision, Online January 2012. pdf 32. Hairong Liu, Xingwei Yang, Longin Jan Latecki, and Shuicheng Yan. Dense Neighborhoods on Affinity Graph. International Journal of Computer Vision (IJCV), 98, pp. 65-82 , May 2012. pdf 4 Dr. Longin Jan Latecki [email protected]
33. Xingwei Yang, Hairong Liu, and Longin Jan Latecki, Contour-Based Object Detection as Dominant Set Computation. Pattern Recognition (PR), 45(5), pp. 1927-1936, May 2012. pdf 34. Junwei Wang, Xiang Bai, Xinge You, Wenyu Liu, Longin Jan Latecki. Shape Matching and Classification Using Height Functions. Pattern Recognition Letters (PRL), Vol. 33(2), pp. 134- 143, January 2012. pdf
2011 35. Xingwei Yang, Daniel B. Szyld, and Longin Jan Latecki. Diffusion on a Tensor Product Graph for Semi-Supervised Learning and Interactive Image Segmentation. Advances in Imaging and Electron Physics, Vol. 169, pp. 147-172, December 2011. pdf 36. Suzan Koknar-Tezel and Longin Jan Latecki. Improving SVM Classification on Imbalanced Time Series Data Sets with Ghost Points. Knowledge and Information Systems. An International Journal, Vol. 28, Issue 1, pp. 1-23, July 2011. pdf 37. Wei Shen, Xiang Bai, Rong Hu, Hongyuan Wang, and Longin Jan Latecki. Skeleton Growing and Pruning with Bending Potential Ratio. Pattern Recognition (PR), 44, pp. 196-209, 2011. pdf software
2010 38. ChengEn Lu, Nagesh Adluru, Haibin Ling, Guangxi Zhu, Longin Jan Latecki. Contour Based Object Detection Using Part-Bundles. Computer Vision and Image Understanding (CVIU), Vol. 114, No. 7, pp. 827-834, July 2010. pdf 39. Xiang Bai, Xingwei Yang, Longin Jan Latecki, Wenyu Liu, Zhuowen Tu. Learning Context Sensitive Shape Similarity by Graph Transduction. IEEE Trans. Pattern Analysis and Machine Intelligence (PAMI), Vol. 32, No. 5, pp. 861-874, May 2010. pdf 40. Y. Tang, X. Bai, X. Yang, L. Lin, S. Liu, and L. J. Latecki. Skeletonization with Particle Filters. International Journal of Pattern Recognition and Artificial Intelligence (IJPRAI), Vol. 24, No. 4, pp. 619-634, 2010. pdf
2009 41. Longin Jan Latecki, Marc Sobel, and Rolf Lakaemper. Piecewise Linear Models with Guaranteed Closeness to the Data. IEEE Trans. Pattern Analysis and Machine Intelligence (PAMI), Vol. 31, No. 8, pp. 1525-1531, 2009. pdf 42. Nagesh Adluru and Longin Jan Latecki. Contour Grouping Based on Contour-Skeleton Duality. International Journal of Computer Vision (IJCV) 83, pp. 12-29, 2009. pdf 43. Wenfei Jiang, Longin Jan Latecki, Wenyu Liu, Hui Liang, Ken Gorman. A Video Coding Scheme Based on Joint Spatiotemporal and Adaptive Prediction. IEEE Trans. on Image Processing, Vol. 18, No. 5, 2009. pdf 5 Dr. Longin Jan Latecki [email protected]
2008 44. Hairong Liu, Longin Jan Latecki, and Wenyu Liu. A Unified Curvature Definition for Regular, Polygonal, and Digital Planar Curves. International Journal of Computer Vision (IJCV), Vol. 80, No. 1, pp. 104-124, 2008. pdf file 45. X. Bai, X. Yang, D. Yu, and L. J. Latecki. Skeleton-Based Shape Classification Using Path Similarity. International Journal of Pattern Recognition and Artificial Intelligence (IJPRAI), Vol. 22, No. 4, pp. 733-746, 2008. pdf file 46. Xiang Bai and Longin Jan Latecki: Path Similarity Skeleton Graph Matching. IEEE Trans. Pattern Analysis and Machine Intelligence (PAMI), Vol. 30, No. 7, pp. 1282-1292, 2008. pdf 47. X. Bai, X. Yang, and L. J. Latecki. Detection and Recognition of Contour Parts Based on Shape Similarity. Pattern Recognition (PR), Vol. 41, No. 7, pp. 2189-2199, July 2008. pdf file 48. M. Siqueira, L. J. Latecki, N. Tustison, J. Gallier, and J. Gee. Topological Repairing of 3D Digital Images. Journal of Mathematical Imaging and Vision (JMIV), Vol. 30, No. 3, pp. 249- 274, March 2008. pdf file
2007 49. R. Lakaemper, N. Adluru, L. J. Latecki, and R. Madhavan. Multi Robot Mapping using Force Field Simulation. Journal of Field Robotics, 24 (8-9), 2007. pdf file 50. L. J. Latecki, V. Megalooikonomou, Q. Wang, and D. Yu: An Elastic Partial Shape Matching Technique. Pattern Recognition (PR), 40, pp. 3069-3080, 2007. pdf file 51. X. Bai, L. J. Latecki, and W.-Y. Liu: Skeleton Pruning by Contour Partitioning with Discrete Curve Evolution. IEEE Trans. Pattern Analysis and Machine Intelligence (PAMI), 29(3), pp. 449-462, 2007. pdf file appendix 52. P. Stelldinger, L. J. Latecki, and M. Siqueira: 3D Object Digitization: Topological Equivalence between a 3D Object and the Reconstruction of its Digital Image. IEEE Trans. Pattern Analysis and Machine Intelligence (PAMI), 29(1), pp. 126-140, 2007. pdf file
Older 53. L. J. Latecki, R. Miezianko, V. Megalooikonomou, D. Pokrajac: Using Spatiotemporal Blocks to Reduce the Uncertainty in Detecting and Tracking Moving Objects in Video, Int. Journal of Intelligent Systems Technologies and Applications (IJISTA), 1(3/4), pp. 376-392, 2006. pdf file 54. L. J. Latecki, R. Miezianko, and D. Pokrajac. Reliability of motion features in surveillance videos. Integrated Computer-Aided Engineering (ICAE) Journal, 12(3), pp. 279-290, 2005. pdf file 55. M. Sobel and L. J. Latecki: Data Visualization by Pairwise Distortion Minimization. Communications in Statistics, Theory and Methods 34 (6), pp. 1379-1391, 2005. pdf file 56. L. J. Latecki, R. Lakaemper and D. Wolter: Optimal Partial Shape Similarity. Image and Vision Computing Journal (IVC) 23, pp. 227-236, 2005. pdf file 6 Dr. Longin Jan Latecki [email protected]
57. L. J. Latecki, T. Jin, and J. Mulik: A Two-stream Approach to Priority Management and Adaptive Rate Control in Multimedia Applications. Journal of Internet Technology 5(4), pp. 331-339, 2004. pdf file 58. U. Eckhardt and L.J. Latecki: Topologies for the Digital Spaces Z2 and Z3. Computer Vision and Image Understanding (CVIU) 90, pp. 295-312, 2003. pdf file 59. C. Hennig and L. J. Latecki: The Choice of Vantage Objects for Image Retrieval. Pattern Recognition (PR) 36, pp. 2187-2196, 2003. pdf file 60. L.J. Latecki and A. Rosenfeld: Recovering a Polygon form Noisy Data. Computer Vision and Image Understanding (CVIU) 86, 1-20, 2002. pdf file 61. L. J. Latecki and R. Lakaemper: Application of Planar Shape Comparison to Object Retrieval in Image Databases. Pattern Recognition (PR), pp. 15-29, 35 (1), 2002. pdf file 62. L. J. Latecki and R. Lakaemper: Shape Similarity Measure Based on Correspondence of Visual Parts. IEEE Trans. Pattern Analysis and Machine Intelligence (PAMI) 22 (10), pp. 1185-1190, October 2000. pdf file 63. L. J. Latecki: Well-Composed Sets. Series on ADVANCES IN IMAGING AND ELECTORON PHYSICS, ed. P. W. Hawkes, Academic Press, Volume 112, pp. 95-163, 2000. 64. L. J. Latecki, R.-R. Ghadially, R. Lakaemper, and U. Eckhardt: Continuity of the discrete curve evolution. Journal of Electronic Imaging 9 (3), pp. 317-326, July 2000. pdf file 65. L. J. Latecki and R. Lakaemper: Convexity Rule for Shape Decomposition Based on Discrete Contour Evolution. Computer Vision and Image Understanding (CVIU) 73, 441-454, 1999. pdf file 66. A. Giraldo, A. Gross, and L. J. Latecki: Digitizations Preserving Shape. Pattern Recognition (PR) 32, pp. 365-376, 1999. pdf file 67. A. Gross and L. J. Latecki: Digital Geometric Methods in Document Image Analysis. Pattern Recognition (PR) 32, 407-424, 1999. pdf file 68. The 25th Annual Pattern Recognition Society Award “for the most original manuscript from all 1998 Pattern Recognition issues” L. J. Latecki and A. Rosenfeld: Supportedness and Tameness: Differentialless Geometry of Plane Curves. Pattern Recognition (PR) 31, pp. 607-622, 1998. pdf file 69. L. J. Latecki, C. Conrad, and A. Gross: Preserving Topology by a Digitization Process. Journal of Mathematical Imaging and Vision, Vol. 8, No. 2, pp. 131-159, March 1998. pdf file 70. A. Gross and L. J. Latecki: A Realistic Digitization Model of Straight Lines. Computer Vision and Image Understanding (CVIU), Vol. 67, No. 2, pp. 131-142, August 1997. pdf file 71. L. J. Latecki: 3D Well-Composed Pictures. Graphical Models and Image Processing, Vol. 59, No. 3, pp. 164-172, May 1997. pdf file 72. L. Latecki and C. M. Ma: An Algorithm for a 3D Simplicity Test. Computer Vision and Image Understanding (CVIU), Vol. 63, No. 2, pp. 388-393, March 1996. pdf file 7 Dr. Longin Jan Latecki [email protected]
73. U. Eckhardt and L. Latecki: Invariant Thinning and Distance Transform. W. Kropatsch, R. Klette, and F. Solina (eds.): Theoretical Foundations of Computer Vision, Computing Supplement 11, pp. 21-36, 1996. 74. L. Latecki and F. Prokop: Semi-proximity Continuous Functions in Digital Images. Pattern Recognition Letters (PRL), Vol. 16, pp. 1175-1187, November 1995. pdf file 75. A. Gross and L. Latecki: Digitizations Preserving Topological and Differential Geometric Properties. Computer Vision and Image Understanding (CVIU), Vol. 62, No. 3, pp. 370-381, November 1995. pdf file
76. L. Latecki, A. Rosenfeld, and R. Silverman: Generalized Convexity: CP3 and Boundaries of Convex Sets. Pattern Recognition (PR), Vol. 28, No. 8, pp. 1191-1199, 1995. pdf file 77. L. Latecki: Multicolor Well-Composed Pictures. Pattern Recognition Letters (PRL), Vol. 16, pp. 425-431, April 1995. 78. L. Latecki, U. Eckhardt, and A. Rosenfeld: Well-Composed Sets. Computer Vision and Image Understanding (CVIU), Vol. 61, No. 1, pp. 70-83, January 1995. pdf file 79. L. Latecki: Topological Connectedness and 8-Connectedness in Digital Pictures. Computer Vision, Graphics, and Image Processing (CVGIP): Image Understanding, Vol. 57, No. 2, pp. 261-262, March 1993. 80. L. Latecki and R. Röhrig: Räumliches Schließen und Berechenbarkeit. Künstliche Intelligenz 4/93. Special issue edited by Ch. Habel: Räumliche Repräsentationen und räumliches Schließen, pp. 35-43, 1993. 81. W. Babianski, R. Bittner, and L. Latecki: The Criteria for the Existence and Uniqueness for Solutions of Abstract Differential Equations. Fasciculi Mathematici 19, 1990.
Books 82. L. J. Latecki: Discrete Representation of Spatial Objects in Computer Vision. Series on COMPUTATIONAL IMAGING AND VISION, ed. M. Viergever, Kluwer Academic Publishers, Dordrecht, 1998. 83. L. J. Latecki: Digitale und Allgemeine Topologie in der bildhaften Wissensrepraesentation. Infix Verlag, Sankt Augustin, Germany, 1992.
Conference Papers (all peer reviewed), AR stands for Acceptance Rate
2021 84. Huitong Pan, Zhou Quan, Longin Jan Latecki. SGUNet: Semantic Guided UNet for Thyroid Nodule Segmentation. IEEE Int. Symposium on Biomedical Imaging (ISBI), Virtual, April 2021. pdf 8 Dr. Longin Jan Latecki [email protected]
2020 85. Qi Jia, Xin Fan, Meiyu Yu, Yuqing Liu, Dingrong Wang, and Longin Jan Latecki. Coupling deep textural and shape features for sketch recognition. 28th ACM Int. Conf. on Multimedia (ACMMM). Virtual, October 2020. (AR=27.8%) pdf 86. Shenghua Li, Quan Zhou, Jia Liu, Jie Wang, Yawen Fan, Xiaofu Wu, and Longin Jan Latecki. DCM: A Dense-Attention Context Module for Semantic Segmentation. 27th IEEE Int. Conf. on Image Processing (ICIP), Virtual, October 2020. (AR=42%) pdf 87. Ilyass Abouelaziz, Aladine Chetouani, Mohamed El Hassouni, Longin Jan Latecki, and Hocine Cherifi. Combination of handcrafted and deep learning-based features for 3D mesh quality assessment. 27th IEEE Int. Conf. on Image Processing (ICIP), Virtual, October 2020. (AR=42%) pdf
2019 88. Ilyass Abouelaziz, Aladine Chetouani, Mohammed El Hassouni, Longin Jan Latecki, and Hocine Cherifi. Mesh Visual Quality based on the combination of convolutional neural networks. Int. Conf. on Image Processing Theory, Tools and Applications (IPTA), Istanbul, November 2019. pdf 89. Yu Wang, Quan Zhou, Jia Liu, Jian Xiong, Guangwei Gao, Xiaofu Wu, and Longin Jan Latecki. LEDNET: A Lightweight Encoder-Decoder Network for Real-Time Semantic Segmentation. 26th IEEE Int. Conf. on Image Processing (ICIP), Taipei, Taiwan, September 2019. pdf 90. Sidra Hanif, Chao Li, Anis Alazzawe and Longin Jan Latecki. Image Retrieval with Similar Object Detection and Local Similarity to Detected Objects. Pacific Rim Int. Conf. on Artificial Intelligence (PRICAI), Yanuca Island, Fiji, August 2019. pdf code 91. Song Bai, Peng Tang, Philip H. S. Torr, and Longin Jan Latecki. Re-ranking via Metric Fusion for Object Retrieval and Person Re-identification. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), Long Beach, CA, June 2019. (AR=25.2%) pdf 92. Yi Fan, Yongxuan Lai, Chengqian Li, Nan Li, Zongjie Ma, Jun Zhou, Longin Jan Latecki, and Kaile Su. Efficient Local Search for Minimum Dominating Sets in Large Graphs. Int. Conf. on Database Systems for Advanced Applications (DASFAA), Chiang Mai, Thailand, April 2019. pdf 93. Cong Rao, Yi Fan, Kaile Su and Longin Jan Latecki. Common Object Discovery as Local Search for Maximum Weight Cliques in a Global Object Similarity Graph. 21st IAPR Int. Conf. on Discrete Geometry for Computer Imagery (DGCI), March 2019. pdf code 94. Heng Fan, Peng Chu, Longin Jan Latecki, and Haibin Ling. Scene Parsing via Dense Recurrent Neural Networks with Attentional Selection. IEEE Winter Conf. on Applications of Computer Vision (WACV), January 2019. pdf
2018 95. Wenbing Yang, Quan Zhou, Jingnan Lu, Xiaofu Wu, Suofei Zhang, and Longin Jan Latecki. Dense Deconvolutional Network for Semantic Segmentation. IEEE Int. Conf. on Image Processing (ICIP), Athens, Greece, October 2018. pdf 9 Dr. Longin Jan Latecki [email protected]
96. Ilyass Abouelaziz, Aladine Chetouani, Mohammed El Hassouni, Longin Jan Latecki, and Hocine Cherifi. Convolutional Neural Network for Blind Mesh Visual Quality Assessment Using 3D Visual Saliency. IEEE Int. Conf. on Image Processing (ICIP), Athens, Greece, October 2018. pdf 97. Quan Zhou, Jinwen Wu, Yawen Fan, Suofei Zhang, Xiaofu Wu, Baoyu Zheng, Xin Jin, Huimin Lu, and Longin Jan Latecki. Weighted Linear Multiple Kernel Learning for Saliency Detection. Int. Conf. on Robotic Sensor Networks (ROSENET), KITAKYUSHU, JAPAN, August 2018. pdf
2017 98. Yi Fan, Zongjie Ma, Kaile Su, Chengqian Li, Cong Rao, Ren-Hau Liu, and Longin Jan Latecki. A Local Search Algorithm for the Maximum Weight Clique Problem in Large Graphs. 29th IEEE Int. Conf. on Tools with Artificial Intelligence (ICTAI), Boston, November 2017. pdf code 99. Song Bai, Zhichao Zhou, Jingdong Wang, Xiang Bai, Longin Jan Latecki, and Qi Tian. Ensemble Diffusion for Retrieval. IEEE Int. Conf. on Computer Vision (ICCV), Venice, Italy, October 2017. (oral presentation, AR=2.1%) pdf, code 100. Wenbin Yang, Quan Zhou, Yawen Fan, Guangwei Gao, Songsong Wu, Weihua Ou, Huimin Lu, and Longin Jan Latecki. Deep Context Convolutional Neural Networks for Semantic Segmentation. Chinese Conference on Computer Vision (CCCV), Tianjin, China, October 2017. (AR=42%) pdf 101. Nan Li and Longin Jan Latecki. Affinity Learning for Mixed Data Clustering. Int. Joint Conf. on Artificial Intelligence (IJCAI), Melbourne, August 2017. (AR=26%) pdf 102. Yi Fan, Nan Li, Chengqian Li, Zongjie Ma, Longin Jan Latecki, Kaile Su. Restart and Random Walk in Local Search for Maximum Vertex Weight Cliques. Int. Joint Conf. on Artificial Intelligence (IJCAI), Melbourne, August 2017. (AR=26%) pdf 103. Zhuo Deng and Longin Jan Latecki. Amodal Detection of 3D Objects: Inferring 3D Bounding Boxes from 2D Ones in RGB-Depth Images. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), Honolulu, July 2017. (AR=29%) pdf 104. Song Bai, Xiang Bai, Qi Tian, Longin Jan Latecki. Regularized Diffusion Process for Visual Retrieval. AAAI Conf. on Artificial Intelligence (AAAI-17), San Francisco, February 2017. pdf 105. Song Bai, Xiang Bai, Longin Jan Latecki, Qi Tian. Multidimensional Scaling on Multiple Input Distance Matrices. AAAI Conf. on Artificial Intelligence (AAAI-17), San Francisco, February 2017. pdf
2016 106. Anirban Roy, Sinisa Todorovic, and Longin Jan Latecki. Context-Regularized Learning of Fully Convolutional Networks for Scene Labeling. Int. Conf. on Pattern Recognition (ICPR), Cancun, December 2016. pdf 107. Nan Li and Longin Jan Latecki. Enhanced Affinity Inference Based Recommender Systems. IEEE/WIC/ACM Int. Conf. on Web Intelligence (WI 2016), Omaha, October 2016. pdf 10 Dr. Longin Jan Latecki [email protected]
108. Nan Li and Longin Jan Latecki. Jointly Reweighing Labeled Data and Learning Affinities on an Augmented Graph for Semi-Supervised Learning. European Conference on Artificial Intelligence (ECAI), The Hague, September 2016. pdf 109. Song Bai, Xiang Bai, and Longin Jan Latecki. GIFT: A Real-time and Scalable 3D Shape Search Engine. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), Las Vegas, June 2016. pdf 110. Xinggang Wang, Xin Yang, Wenyu Liu, Chen Duan, and Longin Jan Latecki. Location-Aware Image Classification. 22nd Int. Conf. on Multimedia Modeling (MMM), Miami, January 2016. pdf
2015 111. Zhuo Deng, Sinisa Todorovic, and Longin Jan Latecki. Semantic Segmentation of RGBD Images with Mutex Constraints. IEEE Int. Conf. on Computer Vision (ICCV), Santiago, Chile, December 2015. pdf 112. Nan Li and Longin Jan Latecki. Affinity Inference with Application to Recommender Systems. IEEE/WIC/ACM Int. Conf. on Web Intelligence (WI 2015), Singapore, December 2015. (AR=24.9%) pdf 113. Le Shu and Longin Jan Latecki. Integration of Single-view Graphs with Diffusion of Tensor Product Graphs for Multi-view Spectral Clustering. Asian Conference on Machine Learning (ACML), Hong Kong, November 2015. pdf code 114. Le Shu and Longin Jan Latecki. Transductive Domain Adaptation with Affinity Learning. 24th ACM Int. Conf. on Information and Knowledge Management (CIKM), Melbourne, Australia, October 2015. (AR=25.4%) pdf code 115. Christopher Dorr, Longin Jan Latecki and Reinhard Moratz. Shape similarity based on the qualitative spatial reasoning calculus eOPRA. 12th Int. Conf. on Spatial Information Theory (COSIT), Santa Fe, New Mexico, October 2015. pdf 116. Quan Zhou, Lianyi Li, JianXin Chen, Liang Zhou and Longin Jan Latecki. Salient Object Detection via Background Contrast. 40th IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP), Brisbane, Australia, April 2015. pdf
2014 117. Zhuo Deng and Longin Jan Latecki. Unsupervised Segmentation of RGB-D Images. Asian Conf. on Computer Vision (ACCV), November 2014. (AR=27%) pdf 118. Christian Feinen, Joanna Czajkowska, Marcin Grzegorzek, and Longin Jan Latecki. 3D Object Retrieval by 3D Curve Matching. IEEE Int. Conf. on Image Processing (ICIP), October 2014. pdf 119. Cong Yao, Xiang Bai, Wenyu Liu, and Longin Jan Latecki. Human Detection using Learned Part Alphabet and Pose Dictionary. European Conference on Computer Vision (ECCV), September 2014. pdf 120. Le Shu, Tianyang Ma, and Longin Jan Latecki. Locality preserving projection via multi-objective learning for domain adaptation. AAAI Conf. on Artificial Intelligence (AAAI-14), Quebec City, July 2014. (AR=28%) pdf 11 Dr. Longin Jan Latecki [email protected]
121. Wenjing Qi, Yinfei Yang, Meng Yi, Yunfeng Li, Zygmunt Pizlo, Longin Jan Latecki. Robust Object Tracking based on RGB-D Camera. 11th World Congress on Intelligent Control and Automation, Shenyang, China, June/July 2014. pdf
2013 122. Tianyang Ma, Sangmin, Oh Amitha Perera, and Longin Jan Latecki. Learning Non-linear Calibration for Score Fusion with Applications to Image and Video Classification. Workshop at Int. Conf. on Computer Vision (ICCV), December 2013. pdf 123. Le Shu, Tianyang Ma, and Longin Jan Latecki. Stable Feature Selection with Minimal Independent Dominating Sets. ACM Conf. on Bioinformatics, Computational Biology and Biomedical Informatics (ACM BCB), September 2013. pdf code 124. Tianyang Ma and Longin Jan Latecki. Maximum Graph Transduction Learning with Connectivity Constraints with Application to Multiple Foreground Cosegmentation. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), June 2013. (AR=26%) pdf
2012 125. Yu Zhou, Xiang Bai, Wenyu Liu, and Longin Jan Latecki. Fusion with Diffusion for Robust Visual Tracking. Neural Information Processing Systems Conf. (NIPS), December 2012. (AR=25%) pdf 126. Nan Li and Longin Jan Latecki. Clustering Aggregation as Maximum-Weight Independent Set. Neural Information Processing Systems Conf. (NIPS), December 2012. (AR=25%) pdf 127. Meng Yi, Yinfei Yang, Wenjing Qi, Yu Zhou, Yunfeng Li, Zygmunt Pizlo, Longin Jan Latecki. Navigation toward Non-static Target Object using Footprint Detection based Tracking. Asian Conf. on Computer Vision (ACCV), November 2012. (AR=23%) pdf 128. Tianyang Ma, Meng Yi, Longin Jan Latecki. View-Invariant Object Detection by Matching 3D Contours. Workshop on Color Depth Fusion in Computer Vision, Asian Conf. on Computer Vision (ACCV), November 2012. (AR=23%) pdf 129. Tianyang Ma and Longin Jan Latecki. Maximum Weight Cliques with Mutex Constraints for Video Object Segmentation. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), June 2012. (AR=24%) pdf 130. Xinggang Wang, Xiang Bai, Tianyang Ma, Wenyu Liu and Longin Jan Latecki. Fan Shape Model for Object Detection. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), June 2012. (AR=24%) pdf 131. Wenfei Jiang, Fan Zhang, Longin Jan Latecki, Zhibo Chen, and Yi Hu. Coefficient Thresholding with Image Restoration. Data Compression Conference (DCC), April 2012.
2011 132. Xinggang Wang, Xiang Bai, Xingwei Yang, Wenyu Liu, and Longin Jan Latecki. Maximal Cliques that Satisfy Hard Constraints with Application to Deformable Object Model Learning. 12 Dr. Longin Jan Latecki [email protected]
Neural Information Processing Systems Conf. (NIPS), Barcelona, December 2011. (AR= 21.8%) pdf 133. Si Liu, Hairong Liu, Longin Jan Latecki, Shuicheng Yan, Changsheng Xu, Hanqing Lu. Size Adaptive Selection of Most Informative Features. AAAI Conf. on Artificial Intelligence (AAAI- 11), San Francisco, August 2011. (oral presentation, AR=24.8%) pdf 134. Tianyang Ma and Longin Jan Latecki. From Partial Shape Matching through Local Deformation to Robust Global Shape Similarity for Object Detection. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), Colorado Springs, June 2011. (oral presentation, AR=3.5%) pdf 135. Xingwei Yang, Nagesh Adluru, and Longin Jan Latecki. Particle Filter with State Permutations for Solving Image Jigsaw Puzzles. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), Colorado Springs, June 2011. (AR=26.4%) pdf 136. Xinggang Wang, Xiang Bai, Wenyu Liu, and Longin Jan Latecki. Feature Context for Image Classification and Object Detection, IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), Colorado Springs, June 2011. (AR=26.4%) pdf 137. Xingwei Yang and Longin Jan Latecki. Affinity Learning on a Tensor Product Graph with Applications to Shape and Image Retrieval. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), Colorado Springs, June 2011. (AR=26.4%) pdf
2010 138. Hairong Liu, Longin Jan Latecki, Shuicheng Yan. Robust Clustering as Ensemble of Affinity Relations, Neural Information Processing Systems Conf. (NIPS), Vancouver, December 2010. (AR=24%) pdf 139. Xingwei Yang, Hairong Liu, and Longin Jan Latecki. Contour-Based Object Detection as Dominant Set Computation. Asian Conf. on Computer Vision (ACCV), Queenstown, New Zealand, November 2010 (AR=29.5%) 140. Xingwei Yang and Longin Jan Latecki. Weakly Supervised Shape Based Object Detection with Particle Filter. European Conference on Computer Vision (ECCV), September 2010. (AR=27%) pdf 141. Tianyang Ma, Xingwei Yang, and Longin Jan Latecki. Boosting Chamfer Matching by Learning Chamfer Distance Normalization. European Conference on Computer Vision (ECCV), September 2010. (AR=27%) pdf 142. Haibin Ling, Xingwei Yang, and Longin Jan Latecki. Balancing Deformability and Discriminability for Shape Matching. European Conference on Computer Vision (ECCV), September 2010. (AR=27%) pdf 143. Hairong Liu, Wenyu Liu, Login Jan Latecki. Convex Shape Decomposition. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), San Francisco, June 2010. (AR=26.8%) pdf 144. W. Jiang, W. Liu, L. J. Latecki, H. Liang, C. Wang, B. Feng. Two-Step Coding For High Definition Video Compression. Data Compression Conference (DCC), March 2010. 13 Dr. Longin Jan Latecki [email protected]
2009 145. Suzan Koknar-Tezel and Longin Jan Latecki. Improving SVM Classification on Imbalanced Data Sets in Distance Spaces. IEEE Int. Conf. on Data Mining (ICDM), Miami, December 2009. (AR=9% for regular papers). pdf 146. Xingwei Yang, Longin Jan Latecki, and Ari Gross. Distance Learning Based on Convex Clustering. 5th Int. Symposium on Visual Computing (ISVC), Las Vegas, Nov./Dec. 2009. pdf 147. ChengEn Lu, Longin Jan Latecki, Nagesh Adluru, Xingwei Yang, and Haibin Ling. Shape Guided Contour Grouping with Particle Filters. 12th IEEE Int. Conf. on Computer Vision (ICCV), Kyoto, Japan, Sep./Oct. 2009. (AR=23%) pdf 148. Xiang Bai, Xinggang Wang, Longin Jan Latecki, Wenyu Liu, and Zhuowen Tu. Active Skeleton for Non-rigid Object Detection. 12th IEEE Int. Conf. on Computer Vision (ICCV), Kyoto, Japan, Sep./Oct. 2009. (AR=23%) pdf software 149. Xingwei Yang, Suzan Koknar-Tezel, and Longin Jan Latecki. Locally Constrained Diffusion Process on Locally Densified Distance Spaces with Applications to Shape Retrieval. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), June 2009. (AR=26.2%). pdf 150. X. Bai, X. Yang, L. J. Latecki, Z. Tu, and W. Liu. Shape Band: A Deformable Object Detection Approach. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), June 2009. (AR=26.2%) pdf 151. Xingwei Yang, Longin Jan Latecki, and Dragoljub Pokrajac. Outlier Detection with Globally Optimal Exemplar-Based GMM. SIAM Int. Conf. on Data Mining (SDM09), Sparks, Nevada, April/May, 2009. (AR=15.67% for oral papers) pdf
2008 152. Longin Jan Latecki, ChengEn Lu, Marc Sobel, Xiang Bai. Multiscale Random Fields with Application to Contour Grouping. Neural Information Processing Systems Conf. (NIPS), Vancouver, December 2008. (AR=24%) pdf 153. ChengEn Lu, Longin Jan Latecki, Guangxi Zhu. Contour Extraction using Particle Filters. Int. Symposium on Visual Computing (ISVC), Las Vegas, December 2008. pdf 154. X. Yang, N. Adluru, L. J. Latecki, X. Bai, Z. Pizlo. Symmetry of Shapes via Shape Similarity. Int. Symposium on Visual Computing (ISVC), Las Vegas, December 2008. pdf 155. N. Adluru, L. J. Latecki, M. Sobel, and R. Lakaemper. Merging Maps of Multiple Robots. Int. Conf. on Pattern Recognition (ICPR), Tampa, Florida, December 2008. pdf 156. X. Bai, X. Yang, L. J. Latecki, Y. Xu, and W. Liu: Computing Stable Skeletons with Particle Filters. Pacific Rim Int. Conf. on Artificial Intelligence (PRICAI), Hanoi, Vietnam, December 2008. (AR=21.3% for oral presentations) pdf 157. X. Yang, X. Bai, L. J. Latecki, Z. Tu. Improving Shape Retrieval by Learning Graph Transduction. European Conference on Computer Vision (ECCV), Marseille, France, October 2008. (AR=27.9%) pdf 14 Dr. Longin Jan Latecki [email protected]
2007 158. L. J. Latecki, Q. Wang, S. Koknar-Tezel, and V. Megalooikonomou. Optimal Subsequence Bijection. IEEE Int. Conf. on Data Mining (ICDM), Omaha, Nebraska, USA, October 2007. (AR=19%) pdf file 159. N. Adluru, L. J. Latecki, R. Lakaemper, T. Young, X. Bai, and A. Gross. Contour Grouping Based on Local Symmetry. 11th IEEE Int. Conf. on Computer Vision (ICCV), Rio de Janeiro, Brazil, October 2007. (AR=23%) pdf file 160. D. Pokrajac, L. J. Latecki, A. Lazarevic, J. Nikolic. Variable Width Elliptic Gaussian Kernels for Probability Density Estimation. 8th Int. Conf. on Telecommunications in Modern Satellite, Cable and Broadcasting Services (TELSIKS), Nis, Serbia, September 2007. 161. R. Lakaemper, N. Adluru, and L. J. Latecki. Force Field Based n-Scan Alignment. European Conf. on Mobile Robots (ECMR), Freiburg, Germany, September 2007. 162. L. J. Latecki, Q. Li, X. Bai, W. Liu. Skeletonization using SSM of the Distance Transform. IEEE Int. Conf. on Image Processing (ICIP), San Antonio, Texas, September 2007. (AR=45%) pdf file 163. L. J. Latecki, S. Koknar-Tezel, Q. Wang, and V. Megalooikonomou. Sequence Matching Capable of Excluding Outliers. Workshop on Time Series Classification at ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (KDD), San Jose, CA, USA, August 2007. pdf file 164. R. Lakaemper, A. Nuechter, N. Adluru, and L. J. Latecki. Performance of 6D LuM and FFS SLAM - An Example for Comparison using Grid and Pose Based Evaluation Methods. NIST Workshop on Performance Metrics for Intelligent Systems, Gaithersburg, MD, August 2007. 165. X. Bai and L. J. Latecki. Discrete Skeleton Evolution. 6th Int. Conf. on Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR), EZhou, China, August, 2007. (AR=29%) pdf file 166. X. Yang, X. Bai, D. Yu, and L. J. Latecki. Shape Classification Based on Skeleton Path Similarity. 6th Int. Conf. on Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR), EZhou, China, August, 2007. (AR=29%) pdf file 167. L. J. Latecki, A. Lazarevic, and D. Pokrajac. Outlier Detection with Kernel Density Functions. 5th Int. Conf. on Machine Learning and Data Mining in Pattern Recognition (MLDM), Leipzig, Germany, July 2007. pdf file 168. Hairong Liu, Longin Jan Latecki, Wenyu Liu, X. Bai. Visual Curvature. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), June 2007. (AR=28%) pdf file 169. D. Pokrajac, A. Lazarevic, and L. J. Latecki. Incremental Local Outlier Detection for Data Streams. IEEE Symposium on Computational Intelligence and Data Mining (CIDM), Honolulu, Hawaii, pp. 504-515, April 2007. pdf file
Older 170. X. Bai, L. J. Latecki, and W.-Y. Liu: Skeleton Pruning by Contour Partitioning. 13th Int. Conf. on Discrete Geometry for Computer Imagery (DGCI), October 2006. (AR=28% for oral presentations) 15 Dr. Longin Jan Latecki [email protected]
171. N. Adluru, L. J. Latecki, R. Lakaemper, and R. Madhavan. Robot Mapping for Rescue Robots. IEEE Int. Workshop on Safety, Security and Rescue Robotics, NIST, Gaithersburg, August 2006. pdf file 172. L. J. Latecki, M. Sobel, and R. Lakaemper: New EM Derived from Kullback-Leibler Divergence. The 12th ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (KDD), Philadelphia, August 2006. (AR=11% for full papers) pdf file 173. R. Lakaemper, A. Malkawi, R. Srinivasan, and L. J. Latecki. Mobile Robot Mapping and Immersive Building Simulation. 16th Int. Conf. on Computer Graphics (GRAPHICON), Novosibirsk, Russia, July 2006. pdf file 174. L. J. Latecki and R. Lakaemper: Polygonal Approximation of Point Sets. 11th IAPR Int. Workshop on Combinatorial Image Analysis (IWCIA), Berlin, Germany, June 2006. (invited lecture) pdf file 175. P. Stelldinger and L. J. Latecki: 3D Object Digitization: Majority Interpolation and Marching Cubes. 18th Int. Conf. on Pattern Recognition (ICPR), Hong Kong, August 2006. (AR=15% for oral presentations) pdf file 176. L. J. Latecki and R. Miezianko. Object Tracking with Dynamic Template Update and Occlusion Detection. 18th Int. Conf. on Pattern Recognition (ICPR), Hong Kong, August 2006. (AR=42%) pdf file 177. R. Lakaemper and L. J. Latecki: Using Extended EM to Segment Planar Structures in 3D. 18th Int. Conf. on Pattern Recognition (ICPR), Hong Kong, August 2006. (AR=42%) 178. P. Stelldinger and L. J. Latecki: 3D Object Digitization: Topology Preserving Reconstruction. 18th Int. Conf. on Pattern Recognition (ICPR), Hong Kong, August 2006. (AR=42%) pdf file 179. P. Stelldinger and L. J. Latecki: 3D Object Digitization: Volume and Surface Area Estimation. 18th Int. Conf. on Pattern Recognition (ICPR), Hong Kong, August 2006. (AR=42%) pdf file 180. L. J. Latecki and R. Lakaemper: Polygonal Approximation of Laser Range Data Based on Perceptual Grouping and EM. IEEE Int. Conf. on Robotics and Automation (ICRA), Orlando, Florida, May 2006. (AR=39%) pdf file 181. R. Lakaemper and L. J. Latecki: Extended EM for Planar Approximation of 3D Data. IEEE Int. Conf. on Robotics and Automation (ICRA), Orlando, Florida, May 2006. (AR=39%) pdf file 182. R. C. Veltkamp and L. J. Latecki: Properties and Performance of Shape Similarity Measures. 10th IFCS Conf. Data Science and Classification, Slovenia, July 2006. pdf file 183. L. J. Latecki, V. Megalooikonomou, Q. Wang , R. Lakaemper, C. A. Ratanamahatana, and E. Keogh: Partial Elastic Matching of Time Series. IEEE Int. Conf. on Data Mining (ICDM), pp. 701-704, Houston, TX, USA, November 2005. (AR=22.4%) pdf file 184. L. J. Latecki, V. Megalooikonomou, Q. Wang , R. Lakaemper, C. A. Ratanamahatana, and E. Keogh. Elastic Partial Matching of Time Series. 9th European Conf. on Principles and Practice of Knowledge Discovery in Databases (PKDD), pp. 577-584, Porto, Portugal, October 2005. (AR=28%) pdf file 185. L. J. Latecki, R. Miezianko, and D. Pokrajac: Tracking Motion Objects in Infrared Videos. Proc. IEEE Int. Conf. on Advanced Video and Signal Based Surveillance, Como, Italy, September 2005. pdf file 16 Dr. Longin Jan Latecki [email protected]
186. D. Pokrajac, V Zeljkovic, L. J. Latecki. Spatial-Temporal Algorithm for Moving Objects Detection in Infra Red Video Sequences. 7th Int. Conf. on Telecommunications in Modern Satellite, Cable and Broadcasting Services (TELSIKS), Nis, Serbia, September 2005. pdf file 187. R. Lakaemper, L. J. Latecki, and D. Wolter: Incremental Multi-Robot Mapping. IEEE Int. Conf. on Intelligent Robots and Systems (IROS), Edmonton, Canada, August 2005. (AR=54%) pdf file 188. L. J. Latecki, R. Miezianko, and D. Pokrajac. Activity and Motion Detection Based on Measuring Texture Change. Int. Conf. on Machine Learning and Data Mining in Pattern Recognition (MLDM), LNAI 3587, pp. 476 – 486, Leipzig, Germany, July 2005. pdf file 189. D. Pokrajac, V Zeljkovic, L. J. Latecki. Noise-Resilient Detection of Moving Objects Based on Spatial-Temporal Blocks. 47th Int. Symposium ELMAR-2005 focused on Multimedia Systems and Applications, Zadar, Croatia, June 2005. pdf file 190. R. Lakaemper, L. J. Latecki, X. Sun, and D. Wolter: Geometric Robot Mapping. Int. Conf. on Discrete Geometry for Computer Imagery (DGCI), April 2005. pdf file 191. D. Wolter, L. J. Latecki, R. Lakaemper, X. Sun: Shape-Based Robot Mapping. 27th German Conf. on Artificial Intelligence, Ulm, Germany, September 2004. (AR=31%) pdf file 192. L. J. Latecki, R. Miezianko, and D. Pokrajac. Evaluating Reliability of Motion Features in Surveillance Videos. NIST Workshop on Performance Metrics for Intelligent Systems, Gaithersburg, MD, August 2004. pdf file 193. D. Wolter and L. J. Latecki: Shape Matching for Robot Mapping. 8th Pacific Rim Int. Conf. on Artificial Intelligence (PRICAI), Auckland, New Zealand, August 2004. (AR=26.7%) pdf file 194. L. J. Latecki, R. Lakaemper, X. Sun, D. Wolter: Building Polygonal Maps from Laser Range Data. Int. Cognitive Robotics Workshop, Valencia, Spain, August 2004. pdf file 195. L. J. Latecki, R. Miezianko, and D. Pokrajac. Motion Detection Based on Local Variation of Spatiotemporal Texture. IEEE CVPR Workshop on Object Tracking and Classification Beyond the Visible Spectrum (OTCBVS), Washington, July 2004. (AR=59%) pdf file 196. L. J. Latecki, T. Jin, and J. Mulik: A Two-stream Approach for Adaptive Rate Control in Multimedia Applications. IEEE Int. Conf. on Multimedia and Expo, Taipei, June 2004. pdf file 197. D. Pokrajac and L. J. Latecki. Entropy-Based Approach for Detecting Feature Reliability. Invited Paper, 48th Conf. for Electronics, Telecommunications, Computers, Automation, and Nuclear Engineering (ETRAN). Cacak, Serbia, June 2004. pdf file 198. L. J. Latecki, R. Lakaemper, and D. Wolter: Shape Similarity and Visual Parts. 11th Int. Conf. on Discrete Geometry for Computer Imagery (DGCI), pp. 34-51, November 2003. (invited lecture) pdf file 199. L. J. Latecki, R. Venugopal, M. Sobel, and S. Horvath: Tree-structured partitioning based on splitting histograms of distances. IEEE Int. Conf. on Data Mining (ICDM), pp. 577-580, November 2003. (AR=23.5%) pdf file 200. D. Pokrajac and L. J. Latecki: Spatiotemporal Blocks-Based Moving Objects Identification and Tracking, IEEE Visual Surveillance and Performance Evaluation of Tracking and Surveillance (VS-PETS), pp. 70-77, October 2003. pdf file 17 Dr. Longin Jan Latecki [email protected]
201. L. J. Latecki, X. Wen, and N. Ghubade: Detection of Changes in Surveillance Videos. Proc. IEEE Int. Conf. on Advanced Video and Signal Based Surveillance, Miami, pp. 237-242, July 2003. pdf file 202. L. J. Latecki, K. Kulkarni, and J. Mulik: Better Audio Performance when Video Stream is Monitored by TCP Congestion Control. Proc. IEEE Int. Conf. on Multimedia and Expo, Baltimore, July 2003. pdf file 203. L. J. Latecki and D. de Wildt: Automatic Recognition of Unpredictable Events in Videos. Proc. of Int. Conf. on Pattern Recognition (ICPR), Quebec City, Volume 2, 2002. pdf file 204. L. J. Latecki, D. de Wildt, and J. Hu: Extraction of Key Frames from Videos by Optimal Color Composition Matching and Polygon Simplification. Proc. of the Workshop on Multimedia Signal Processing, Cannes, France, October 2001. pdf file 205. D. DeMenthon, L. J. Latecki, A. Rosenfeld, and M. Vuilleumier Stückelberg: Relevance Ranking of Video Data using Hidden Markov Model Distances and Polygon Simplification. Proc. of the Int. Conf. on Visual Information Systems, Lyon, France, Springer-Verlag, pp. 49-61, November 2000. 206. L. J. Latecki, D. DeMenthon, and A. Rosenfeld: Automatic Extraction of Relevant Frames from Videos by Polygon Simplification. Proc. of the DAGM-Symposium Mustererkennung (Pattern Recognition), Kiel, Germany, Springer-Verlag, pp. 412-419, September 2000. 207. L. J. Latecki, R. Lakaemper, and U. Eckhardt: Shape Descriptors for Non-rigid Shapes with a Single Closed Contour. Proc. of IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), Hilton Head Island, South Carolina, pp. 424-429, June 2000. pdf file 208. L. J. Latecki and R. Lakaemper: Polygon Evolution by Vertex Deletion. Proc. of Int. Conf. on Scale-Space Theories in Computer Vision, Corfu, Greece, Springer-Verlag, pp. 398-409, September 1999. pdf file 209. L. J. Latecki and R. Lakaemper: Contour-based Shape Similarity. Proc. of Int. Conf. on Visual Information Systems, Amsterdam, Springer-Verlag, pp. 617-624, June 1999. 210. L. J. Latecki and R. Lakaemper: Discrete Approach to Curve Evolution. Proc. of 20. DAGM- Symposium Mustererkennung (Pattern Recognition), Stuttgart, Germany, pp. 85-92, September/October 1998. 211. Best Paper Reward from the German Society for Pattern Recognition (DAGM) in 1998: L. J. Latecki and R. Lakaemper: Shape Decomposition and Shape Similarity Measure. Proc. of 20. DAGM-Symposium Mustererkennung (Pattern Recognition), Stuttgart, Germany, pp.367-376, September/October 1998. 212. A. Gross and L. Latecki: Digital Geometric Methods in Image Analysis and Compression. Proc. of the Third Asian Conf. on Computer Vision (ACCV 98), Volume I, pp. 184-191, Springer- Verlag, Hong Kong, January 1998. 213. A. Gross and L. Latecki: Homeomorphic Digitization, Correction, and Compression of Digital Documents, IEEE CVPR Workshop on Document Image Analysis, San Juan, Puerto Rico, June 1997. pdf file 214. A. Gross and L. Latecki: Modeling Digital Straight Lines. Proc. of the International Conf. on Pattern Recognition (ICPR 96), Volume II, pp. 156-160, Vienna, August 96. 18 Dr. Longin Jan Latecki [email protected]
215. L. Latecki, C. Conrad, and A. Gross: An Object and its Digital Image. Proc. of the Second Asian Conf. on Computer Vision (ACCV 95), Singapore, December 1995. 216. L. Latecki and Gross, A.: Digitization Constraints that Preserve Topology and Geometry. Proc. of the IEEE International Symposium on Computer Vision (ISCV 95), Florida, USA, November 1995. 217. Gross, A. and L. Latecki: Digital Geometric Invariance and Shape Representation. Proc. of the IEEE International Symposium on Computer Vision (ISCV 95), Florida, USA, November 1995. 218. L. Latecki, C. Conrad, and A. Gross: Conditions that Guarantee a Digitization Process Preserves Topology. 17. DAGM-Symposium Mustererkennung (Pattern Recognition), Bielefeld, Germany, September 1995. 219. U. Eckhardt, L. Latecki, and G. Maderlechner: Irreducible and Thin Sets. Proc. of the IAPR´s International Workshop on Visual Form in Capri, Italy, May/June 1994. 220. L. Latecki and R. Röhrig: Orientation and Qualitative Angle for Spatial Reasoning. Proc. of the 13th International Joint Conf. on Artificial Intelligence (IJCAI 93), pp. 1544-1549, Chambéry, France, August/September 1993. pdf file 221. L. Latecki and S. Pribbenow: On Hybrid Reasoning for Processing Spatial Expressions. Proc. of the European Conf. on Artificial Intelligence (ECAI 92), Vienna, Austria, August 1992. 222. L. Latecki: Connection Relations and Quantifier Scope. Proc. of the 30th Conf. of the Association for Computational Linguistics (ACL 92), pp. 241-248, Newark, Delaware, USA, June/July 1992. pdf file 223. L. Latecki: An Indexing Technique for Implementing Command Relations. Proc. of the 5th Conf. of the European Chapter of the Association for Computational Linguistics (EACL 91), Berlin, 1991. pdf file 224. L. Latecki: Topologie in Depiktionen. Proc. of the 14th German Workshop on Artificial Intelligence (GWAI 90). Springer-Verlag, Berlin, 1990. 225. W. Babianski, R. Bittner, and L. Latecki: Surjective Operational Calculus. Proc. of the Conf. on Complex Analysis and Applications ´87, Sofia, Bulgaria, 1989.
Book Chapters (all peer reviewed) 226. Rocio Gonzalez-Diaz, Peer Stelldinger, and Longin Jan Latecki. Digitization. Computer Vision: A Reference Guide, edited by Katsushi Ikeuchi, Springer Verlag, published online February 2020. pdf 227. Peer Stelldinger and Longin Jan Latecki. Digitization. Computer Vision: A Reference Guide, edited by Katsushi Ikeuchi, pp. 212-217, Springer Verlag, June 2014. pdf 228. Xiang Bai, Chunyuan Li, Xingwei Yang, Longin Jan Latecki. Shape Retrieval and Classification Based on Geodesic Paths in Skeleton Graphs. In Xiao Bai, Jian Chen, and Edwin Hancock, editors, Graph-Based Methods in Computer Vision: Development and Applications, IGI Clobal, 2013. pdf 229. Xiang Bai, Quannan Li, Tianyang Ma, Wenyu Liu, and Longin Jan Latecki. Binarization of Gray- Level Images Based on Skeleton Region Growing. In Valentin E. Brimkov and Reneta P. 19 Dr. Longin Jan Latecki [email protected]
Barneva, editors, Digital Geometry Algorithms. Theoretical Foundations and Applications to Computational Imaging, Lecture Notes in Computational Vision and Biomechanics, Volume 2, Part 2, pp. 145-164, Springer Verlag, 2012. 230. D. Wolter, C. Freksa, and L. J. Latecki. Towards a Generalization of Self-Localization, In M. E. Jefferies and W. K. Yeap, editors, Robot and Cognitive Approaches to Spatial Mapping, Series: Springer Tracts in Advanced Robotics, Springer Verlag, Vol. 38, January 2008. pdf 231. L. J. Latecki and R. Lakaemper: Shape Description and Search for Similar Objects in Image Databases. In R. Veltkamp, H. Burkhardt, and H.-P. Kriegel (eds.): State-of-the-Art in Content- Based Image and Video Retrieval, Kluwer Academic Publishers, Boston, pp. 69-95, 2001. 232. T. Barkowski, L. J. Latecki, and K.-F. Richter: Schematizing Maps: Simplification of Geographic Shape by Discrete Curve Evolution. In C. Freksa, W. Brauer, C. Habel, and K. F. Wender (eds.): Spatial Cognition II, Springer-Verlag, Berlin, pp. 41-53, 2000. pdf file 233. L. J. Latecki and A. Gross: From Mathematical Digitization Models to Discrete Shape Constraints. In R. Klette, A. Rosenfeld, and F. Sloboda (eds.): Advances in Digital and Computational Geometry, Springer-Verlag, Singapore, pp. 195-226, March 1998. 234. A. Gross and L. Latecki: Toward Non-Parametric Digital Shape Representation and Recovery. In M. Hebert, J. Ponce, T. Boult, and A. Gross (eds.): Object Representation in Computer Vision, Springer-Verlag, Berlin, pp. 313-325, 1995. 235. U. Eckhardt and L. Latecki: Digital Topology. In Current Topics in Pattern Recognition Research, Research Trends, Council of Scientific Information, Vilayil Gardens, Trivandrum, India, 1994. pdf file
Edited Books and Special Issues of Journals 236. Xiang Bai, Michael Donoser, Hairong Liu and Longin Jan Lateck (eds.): Special Issue on Efficient Shape Representation, Matching, Ranking, and its Applications. Pattern Recognition Letters. Vol. 83, Part 3, November 2016. 237. L. J. Latecki, D. Mount, A. Wu, and (eds.): Proc. of the IS&T/SPIE Conf. on Vision Geometry XV, SPIE Vo. 6499, San Jose, California, January 2007. 238. L. J. Latecki, D. Mount, A. Wu, and (eds.): Proc. of the IS&T/SPIE Conf. on Vision Geometry XIV, SPIE Vo. 6066, San Jose, California, January 2006. 239. L. J. Latecki, D. Mount, A. Wu, and (eds.): Proc. of the IS&T/SPIE Conf. on Vision Geometry XIII, SPIE Vo. 5675, San Jose, California, January 2005. 240. L. J. Latecki, D. Mount, A. Wu, and (eds.): Proc. of the IS&T/SPIE Conf. on Vision Geometry XII, SPIE Vo. 5300, San Jose, California, January 2004. 241. L. J. Latecki, A. Gross, and R. Melter (eds.): Special Issue on Shape Representation and Similarity for Image Databases. Pattern Recognition, Vol. 35, No. 1, 2002. 242. L. J. Latecki, D. Mount, A. Wu, and (eds.): Proc. of the SPIE Conf. on Vision Geometry XI, Seattle, Washington, July 2002. 243. L. J. Latecki, D. Mount, A. Wu, and (eds.): Proc. of the SPIE Conf. on Vision Geometry X, San Diego, California, July 2001. 20 Dr. Longin Jan Latecki [email protected]
244. L. J. Latecki, D. Mount, R. Melter, A. Wu, and (eds.): Proc. of the SPIE and SIAM Conf. on Vision Geometry IX, San Diego, California, July 2000. 245. L. J. Latecki, D. Mount, R. Melter, A. Wu, and (eds.): Proc. of the SPIE and SIAM Conf. on Vision Geometry VIII, Denver, Colorado, July 1999. 246. R. Melter, A. Wu, and L. J. Latecki (eds.): Proc. of the SPIE´s Conf. on Vision Geometry VII, Vol. 3454, San Diego, California, July 1998. 247. R. Melter, A. Wu, and L. J. Latecki (eds.): Proc. of the SPIE´s Conf. on Vision Geometry VI, Vol. 3168, San Diego, California, July 1997. 248. R. Melter, A. Wu, and L. J. Latecki (eds.): Proc. of the SPIE´s Conf. on Vision Geometry V, Vol. 2826, Denver, Colorado, August 1996.
Other Conference Papers 249. Natasa Reljin, Samantha McDaniel, Dragoljub Pokrajac, Nebojsa Pejcic, Tia Vance, Aleksandar Lazarevic, and Longin Jan Latecki. Small Moving Targets Detection Using Outlier Detection Algorithms. SPIE Defense, Security and Sensing Conference, SPIE Vol. 7698, Orlando, Florida, April 2010. pdf 250. Q. Wang, A. Charisi, L. J. Latecki, J. C. Gee, and V. Megalooikonomou, Shape similarity analysis of regions of interest in medical images, Proc. of the SPIE Conf. on Medical Imaging, San Diego, February 2010. 251. L. J. Latecki, R. Lakaemper, and Z. Pizlo. Partial shape similarity of contours is needed for object recognition. Proc. of the IS&T/SPIE Conf. Computational Imaging, San Jose, pp. 16-1-16-12, January 2006. 252. M. Siqueira, J. Gallier, and L. J. Latecki. Making 3D binary digital images well composed. SPIE Electronic Imaging Newsletter (EI), 15(2), pp. 5, June 2005. pdf file 253. L. J. Latecki, R. Miezianko, and D. Pokrajac. Instantaneous reliability assessment of motion features in surveillance videos. Proc. of the IS&T/SPIE Conf. Storage and Retrieval Methods and Applications for Multimedia, San Jose, January 2005. 254. L.J. Latecki, V. Rajagopal, and A. Gross: Image retrieval and reversible illumination normalization. Proc. of the IS&T/SPIE Conf. Internet Imaging VI, San Jose, January 2005. pdf file 255. M. Siqueira, L.J. Latecki, and J. Gallier: Making 3D binary digital images well-composed. Proc. of the IS&T/SPIE Conf. Vision Geometry XIII, San Jose, January 2005. pdf file 256. L. J. Latecki, R. Lakaemper, X. Sun, D. Wolter: Construction of Global Maps with Polygonal Objects from Laser Range Data. IASTED Int. Conf. on Robotics and Applications, Honolulu, Hawaii, August 2004. 257. R. Lakaemper, L. J. Latecki, V. Megalooikonomou, Q. Wang, X. Wang: Learning Descriptive and Distinctive Parts of Objects with a Part-Based Shape Similarity Measure. IASTED Int. Conf. on Signal and Image Processing (SIP), Honolulu, Hawaii, August 2004. 258. L. J. Latecki and R. Lakaemper. Cognitively Motivated Shape Similarity. IASTED Computers Graphics and Imaging (CGIM), Kauai, Hawaii, August 2004. 21 Dr. Longin Jan Latecki [email protected]
259. R. Lakaemper and L. J. Latecki. Database Query by Interactive Shape Selection. IASTED Internet and Multimedia Systems and Applications (IMSA), Kauai, Hawaii, August 2004. 260. L.J. Latecki: Image Similarity Measures for Video Analysis. Proc. of the IS&T/SPIE Conf. Internet Imaging IV, Vol. 5018, Santa Clara, pp. 218-227, January 2003. 261. L. J. Latecki, R.-R. Ghadially, R. Lakaemper, and U. Eckhardt: Continuity of the Discrete Curve Evolution. Proc. of the SPIE and SIAM Conf. on Vision Geometry, Vol. 3811, Denver, Colorado, pp. 212-223, July 1999. 262. A. Gross and L. J. Latecki: The Quadrant Hausdorff Distance: A Metric of Image Quantization. Hamburger Beitraege zur Angewandten Mathematik, Reihe A, June 1999. pdf file 263. L. J. Latecki and R. Lakaemper: Shape Similarity Measure for Image Database of Occluding Contours. Proc. of the 4th IEEE Workshop on Applications of Computer Vision, Princeton, New Jersey, USA, October 1998. 264. R. Lakaemper, L. J. Latecki, and U. Eckhardt: Contour-Based Shape Similarity. Proc. of the SPIE Conf. on Vision Geometry, Vol. 3454, San Diego, Ca., pp. 202-213, July 1998. 265. L.J. Latecki and A. Rosenfeld: Differentialles Geometry of Plane Curves. Proc. of the SPIE Conf. on Vision Geometry, Vol. 3168, San Diego, Ca., pp. 238-248, July 1997. 266. A. Gross and L. Latecki: Topologically-Invariant Methods in Document Image Analysis. Proc. of the SPIE Conf. on Vision Geometry, Vol. 3168, San Diego, California, pp. 61-68, July 1997. 267. L. Latecki: 3D Well-Composed Pictures. Proc. of the SPIE Conf. on Vision Geometry, Vol. 2573, San Diego, California, USA, July 1995. 268. T. Barkowsky, B. Berendt, S. Egner, C. Freksa, L. Latecki, and R. Röhrig: Movies: an integrated space-time representation for qualitative navigation. Proc. of the KI-95 Workshop on Current Issues in Spatial Reasoning. L. Drechler-Fischer, S. Pribbenow (eds.), GI, Bonn, 1995. 269. L. Latecki: Digital Topology of Multicolor Images. Proc. of the SPIE´s Conf. on Intelligent Robots and Computer Vision XIII in Boston, Massachusetts, USA, November 1994. 270. A. Gross and L. Latecki: Digitizations Preserving Topological and Differential Geometric Properties. Proc. of the SPIE Conf. on Vision Geometry Vol. 2356, Boston, USA, November 1994. 271. L. Latecki and F. Prokop: Nearly Continuous Functions in Digital Images. Proc. of the SPIE Conf. on Vision Geometry Vol. 2356, Boston, Massachusetts, USA, November 1994. 272. L. Latecki: Multicolor Well-Composed Pictures. Proc. of the SPIE Conf. on Vision Geometry Vol. 2356, Boston, Massachusetts, USA, November 1994. 273. L. Latecki, U. Eckhardt, and A. Rosenfeld: Well-Composedness of Digital Sets. Proc. of the SPIE Conf. on Vision Geometry Vol. 2060, Boston, Massachusetts, USA, September 1993. 274. L. Latecki and S. Pribbenow: Combining Depictorial and Propositional Inferences for Processing Spatial Expressions. AAAI Spring Symposium Series, "Reasoning with Diagrammatic Representations", Stanford University, Stanford, USA, March 1992. 275. L. Latecki and S. Pribbenow: On the Status of Depictorial Inferences. Second International Colloquium on Cognitive Science (ICCS 91), San Sebastian, Spain, 1991. 22 Dr. Longin Jan Latecki [email protected]
276. L. Latecki: Ein Formalismus zur topologischen Beschreibung des Rasters. Proc. of the RAUM Workshop, University of Koblenz, Koblenz, 1990.