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Gianfranco Doretto, PhD

Languages spoken: English

Academic Information

Departments Primary - Biomedical Informatics

Research Interests

  • Biomedical & Health Applications
  • Computer Vision
  • Machine Learning

Education History

Graduate Training University of California, Los Angeles
 MS
Graduate Training University of California, Los Angeles
 PhD
Graduate Training University of Padua
 MS

Selected Publications

Journal Article

  1. Le QH, Patel B, Adjeroh DA, Doretto G, Le N (2025). SSL-SurvFormer: A Self-Supervised Learning and Continuously Monotonic Transformer Network for Missing Values in Survival Analysis. Informatics (MDPI), 12(1), 32.
  2. Pham TT, Brecheisen J, Wu CC, Nguyen H, Deng Z, Adjeroh D, Doretto G, Choudhary A, Le N (2024). ItpCtrl-AI: End-to-end interpretable and controllable artificial intelligence by modeling radiologists' intentions. Artif Intell Med, 160, 103054. (Read full article)
  3. Duan T, Wang Z, Shen L, Doretto G, Adjeroh DA, Li F, Tao C (2024). Retain and Adapt: Online Sequential EEG Classification with Subject Shift. IEEE Trans Artif Intell, 5(9), 4479-4492.
  4. Duan T, Wang Z, Li F, Doretto G, Adjeroh DA, Yin Y, Tao C (2024). Online continual decoding of streaming EEG signal with a balanced and informative memory buffer. Neural Netw, 176, 106338. (Read full article)
  5. Bardes JM, Price BS, Adjeroh DA, Doretto G, Wilson A (2022). Emergency medical services shock index is the most accurate predictor of patient outcomes after blunt torso trauma. J Trauma Acute Care Surg, 92(3), 499-503. (Read full article)
  6. Ashiqur Rahman S, Giacobbi P, Pyles L, Mullett C, Doretto G, Adjeroh DA (2019). Deep learning for biological age estimation. Brief Bioinform, 22(2), 1767-1781. (Read full article)
  7. Joseph A, Mullett C, Lilly C, Armistead M, Cox HJ, Denney M, Varma M, Rich D, Adjeroh DA, Doretto G, Neal W, Pyles LA (2021). Coronary Artery Disease Phenotype Detection in an Academic Hospital System Setting. Appl Clin Inform, 12(1), 10-16. (Read full article)
  8. Motiian S, Siyahjani F, Almohsen R, Doretto G (2017). Online Human Interaction Detection and Recognition with Multiple Cameras. IEEE Trans Circuits Syst Video Technol, 27(3), 649–663.
  9. Piccirilli M, Doretto G, Adjeroh D (2017). A Framework for Analyzing the Whole Body Surface Area from a Single View. PLoS One, 12(1), e0166749. (Read full article)
  10. Donai JJ, Motiian S, Doretto G (2016). Automated Classification of Vowel Category and Speaker Type in the High-Frequency Spectrum. Audiol Res, 6(1), 137. (Read full article)
  11. Piccirilli M, Doretto G, Ross A, Adjeroh D (2016). A Mobile Structured Light System for 3D Face Acquisition. IEEE Sens J, 16(7), 1854-1855.
  12. Holcomb PS, Morehead M, Doretto G, Chen P, Berg S, Plaza S, Spirou G (2016). Rapid and Semi-automated Extraction of Neuronal Cell Bodies and Nuclei from Electron Microscopy Image Stacks. Methods Mol Biol, 1427, 277-90. (Read full article)
  13. Motiian S, Pergami P, Guffey K, Mancinelli CA, Doretto G (2015). Automated extraction and validation of children's gait parameters with the Kinect. Biomed Eng Online, 14, 112. (Read full article)
  14. De Marsico M, Doretto G, Riccio D (2012). M-VIVIE: A multi-thread video indexer via identity extraction. Pattern Recognit Lett, 33(14), 1882–1890.
  15. Doretto G, Sebastian T, Tu P, Rittscher J (2011). Appearance-based person reidentification in camera networks: problem overview and current approaches. J Ambient Intell Humaniz Comput, 2, 127–151.
  16. Doretto G, Soatto S (2006). Dynamic shape and appearance models. IEEE Trans Pattern Anal Mach Intell, 28(12), 2006-19. (Read full article)
  17. Doretto G, Chiuso A, Wu YN, Soatto S (2003). Dynamic textures. Int J Comput Vis, 51(2), 91-109.
  18. Lucchese L, Doretto G, Cortelazzo GM (2002). A frequency domain technique for range data registration. IEEE Trans Pattern Anal Mach Intell, 24(11), 1468-1484.

Book Chapter

  1. Doretto G, Ravichandran A, Vidal R, Soatto S (2014). Dynamical Systems in Video Analysis”. In: Academic Press Library in Signal Processing. In Chellapa R, Theodoridis S (Eds.), Academic Press Library in Signal Processing (4, pp. 461–487). Elsevier Ltd.
  2. Tu PH, Brooksby GW, Doretto G, Hamilton DW, Krahnstoever N, Laflan JB, Liu X, Patwardhan KA, Sebastian T, Tong Y, Tu J, Wheeler FW, Wynnyk CM, Yao Y, Yu T (2011). Video Analytics for Force Protection. In Bhanu B, Ravishankar CV, Roy-Chowdhury AK, Aghajan H, Terzopoulos D (Eds.), Distributed Video Sensor Networks (pp. 405-425). London: Springer.
  3. Doretto G, Soatto S (2008). From dynamic texture to dynamic shape and appearance models: An overview. In Mirmehdi M, Xie X, Suri J (Eds.), Handbook of texture analysis. Imperial College Press.
  4. Doretto G, Soatto S (2006). Modeling dynamic scenes: An overview of dynamic textures. In Paragios N, Chen Y, Faugeras O (Eds.), Handbook of mathematical models in computer vision (pp. 343-357). Springer-Verlag.

Conference Proceedings

  1. Zaveri RJ, Patel S, Gu Y, Doretto G (2025). Improving Accuracy and Generalization for Efficient Visual Tracking. IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Tucson, AZ: IEEE, 9468–9478.
  2. Mirzaee G, Doretto G, Adjeroh DA (2024). Multi-label Classification using Self-Supervised Learning: Addressing Class Inter-Dependency and Data Imbalance. IEEE International Conference on Machine Learning and Applications, Miami, FL: IEEE, 1271–1276.
  3. Nouyed MI, Doretto G, Adjeroh DA (2024). A Framework for Evaluating Model Trustworthiness in Classification of Very High Resolution Histopathology Images. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), IEEE, 6929–6936.
  4. Nouyed MI, Hartley MA, Doretto G, Adjeroh DA (2024). Efficient Classification of Histopathology Images using Highly Imbalanced Data. International Conference on Pattern Recognition (ICPR), Springer, Cham, 160-175.
  5. Pham TT, Ho NV, Bui NT, Phan T, Patel B, Adjeroh D, Doretto G, Nguyen A, Wu CC, Nguyen H, Le NH (2024). FG-CXR: A Radiologist-Aligned Gaze Dataset for Enhancing Interpretability in Chest X-Ray Report Generation. Asian Conference on Computer Vision (ACCV), Hanoi, Vietnam: Springer, 71–88.
  6. Habib AZSB, Wang K, Hartley M-A, Doretto G, Adjeroh DA (2024). TabSeq: A Framework for Deep Learning on Tabular Data via Sequential Ordering. International Conference on Pattern Recognition (ICPR), Springer, Cham, 15304, 418–434.
  7. Patel S, Zaveri RJ, Chambers S, Randhawa Z, Doretto G (2024). Online Stochastic Optimization for Data with Temporal Dependencies. European Conference on Computer Vision Workshop on Out of Distribution Generalization (ECCVW), Milan, Italy: Springer, 98–116.
  8. Tran K, Le Dinh AD, Nguyen TP, Phan T, Nguyen P, Luu K, Adjeroh D, Doretto G, Le NH (2024). Z-GMOT: Zero-shot Generic Multiple Object Tracking. In Duh K, Gomez H, Bethard S (Eds.), Findings of the Association for Computational Linguistics (NAACL), Mexico City, Mexico: Association for Computational Linguistics, 3468–3479.
  9. Bui NT, Hoang DH, Tran MT, Doretto G, Adjeroh DA, Patel B, Choudhary A, Le N (2024). SAM3D: Segment Anything Model in Volumetric Medical Images. IEEE International Symposium on Biomedical Imaging (ISBI), IEEE, 1-4.
  10. Yamazaki K, Hanyu T, Vo K, Pham T, Tran M, Doretto G, Nguyen A, Le N (2024). Open-Fusion: Real-time Open-Vocabulary 3D Mapping and Queryable Scene Representation. IEEE International Conference on Robotics and Automation (ICRA), Yokohama, Japan: IEEE, 9411–9417.
  11. Zaveri R, Brume V, Doretto G (2024). Few-shot adaptation for morphology-independent cell instance segmentation. IEEE International Symposium on Biomedical Imaging (ISBI), IEEE, 1-5.
  12. PhanT, Vo K, Le Dinh AD, Doretto G (2024). ZEETAD: Adapting Pretrained Vision-Language Model for Zero-Shot End-to-End Temporal Action Detection. IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Waikoloa, HI, USA: IEEE, 7031– 7040.
  13. Farrelly C, Singh Y, Hathaway QA, Carlsson G, Choudhary A, Paul R, Doretto G, Himeur Y, Atalls S, Mansoor W (2023). Current Topological and Machine Learning Applications for Bias Detection in Text. International Conference on Signal Processing and Information Security (ICSPIS), IEEE, 190-195.
  14. Mohamadi S, Doretto G, Adjeroh D (2023). More Synergy, Less Redundancy: Exploiting Joint Mutual Information for Self-Supervised Learning. IEEE International Conference on Image Processing (ICIP), Kuala Lumpur, Malaysia: IEEE, 1390–1394.
  15. Duan T, Wang Z, Doretto G, Li F, Tao C, Adjeroh D (2023). Distributionally Robust Cross Subject EEG Decoding. European Conference on Artificial Intelligence (ECAI), Frontiers in Artificial Intelligence and Applications, Kraków, Poland: IOS Press, 372, 575–582.
  16. Nguyen K, Fookes C, Sridharan S, Liu F, Liu X, Ross A, Michalski D, Nguyen H, Deb D, Kothari M, Saini M, Du D, McCloskey S, Bertocco G, Boult T, Andal F, Rocha A, Zhu H, Zheng Z, Nevatia R, Randhawa ZA, Sabri S, Doretto G (2023). AG-ReID 2023: Aerial-Ground Person Reidentification Challenge Results. IEEE International Joint Conference on Biometrics (IJCB), Ljubljana, Slovenia: IEEE, 1-10.
  17. Nouyed MI, Doretto G, Adjeroh A (2023). A Framework for Token-based Scene Classification of Remote Sensing Images. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), IEEE, 6239–6242.
  18. Almohsen R, Patel S, Adjeroh DA, Doretto G (2023). A Robust Likelihood Model for Novelty Detection. IEEE/CVF CVPR Workshops on Computer Vision in The Wild (CVPRW).
  19. Mera-Trujillo M, Patel S, Gu Y, Doretto G (2023). Self-supervised Interest Point Detection and Description for Fisheye and Perspective Images. IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), Los Alamitos, CA, USA: IEEE Computer Society, 6498– 6507.
  20. Duan T, Wang Z, Doretto G, Li F, Tao C, Adjeroh D (2023). Replay with Stochastic Neural Transformation for Online Continual EEG Classification. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), IEEE.
  21. Mohamadi S, Doretto G, Adjeroh D (2023). FUSSL: Fuzzy Uncertain Self Supervised Learning. IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), IEEE, 2799–2808.
  22. Keaton MR, Zaveri RJ, Doretto G (2023). CellTranspose: Few-shot Domain Adaptation for Cellular Instance Segmentation. IEEE Winter Conf Appl Comput Vis, United States, 2023, 455-466. (Read full article)
  23. Mohamadi S, Doretto G, Adjeroh A (2022). Deep Active Ensemble Sampling For Image Classification. Proceedings of The Asian Conference on Computer Vision (ACCV), Springer Berlin Heidelberg, 4531-4547.
  24. Nouyed MI, Doretto G, Adjeroh DA (2022). Efficient Classification of Very High Resolution Histopathological Images. Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine (BIBM), IEEE, 3114–3121.
  25. Almohsen R, Keaton MR, Adjeroh A, Doretto G (2022). Generative Probabilistic Novelty Detection With Isometric Adversarial Autoencoders. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), IEEE, 2002–2012.
  26. Randhawa ZA, Patel S, Adjeroh DA, Doretto G (2022). Learning Representations for Masked Facial Recovery. In Bebis G, Li B, Yao A, Liu Y, Duan Y, Lau M, Khadka R, Crisan A, Chang R (Eds.), Advances in Visual Computing, Cham: Springer International Publishing, 22-35.
  27. Sabri SI, Randhawa ZA, Doretto G (2022). Joint Discriminative and Metric Embedding Learning for Person Re-Identification. In Bebis G, Li B, Yao A, Liu Y, Duan Y, Lau M, Khadka R, Crisan A, Chang R (Eds.), Advances in Visual Computing, Cham: Springer International Publishing, 165–178.
  28. Islam S, Abbasi A, Agarwal N, Zheng W, Doretto G, Adjeroh DA (2021). Detecting Drug-Drug Interactions using Protein Sequence-Structure Similarity Networks. Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine (BIBM), IEEE, 3472–3477.
  29. Mohamadi S, Nasrabadi NM, Doretto G, Adjeroh DA (2021). Human Age Estimation from Gene Expression Data using Artificial Neural Networks. Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine (BIBM), IEEE, 3492–3497.
  30. Keaton MR, Zaveri RJ, Kovur M, Henderson MC, Adjeroh DA, Doretto G (2021). Fine-Grained Visual Classification of Plant Species In The Wild: Object Detection as A Reinforced Means of Attention. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
  31. Pidhorskyi S, Adjeroh DA, Doretto G (2020). Adversarial Latent Autoencoders. IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), 14092–14101.
  32. Motiian S, Jones Q, Pidhorskyi S, Doretto G (2019). Unsupervised Learning of Paired Style Statistics for Unpaired Image Translation. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 112–121.
  33. Pidhorskyi S, Almohsen R, Adjeroh D, Doretto G (2018). Generative probabilistic novelty detection with adversarial autoencoders. International Conference on Neural Information Processing Systems (NeurIPS), Montréal, Canada: Curran Associates Inc., 6823–6834.
  34. Pidhorskyi S, Jones Q, Motiian S, Adjeroh D, Doretto G (2018). Deep supervised hashing with spherical embedding. Asian Conference on Computer Vision (ACCV), Perth, WA, Australia: Springer-Verlag, 417–434.
  35. Motiian S, Piccirilli M, Adjeroh D, Doretto G (2017). Unified deep supervised domain adaptation and generalization. IEEE International Conference on Computer Vision (ICCV), Los Alamitos, CA, USA: IEEE Computer Society, 5715–5725.
  36. Motiian S, Jones Q, Iranmanesh SM, Doretto G (2017). Few-shot adversarial domain adaptation. International Conference on Neural Information Processing Systems (NIPS), Long Beach, CA, USA: Curran Associates Inc., 6652–6662.
  37. Motiian S, Doretto G (2016). Information bottleneck domain adaptation with privileged information for visual recognition. European Conference on Computer Vision (ECCV), Cham: Springer International Publishing, 630-647.
  38. Motiian S, Piccirilli M, Adjeroh D, Doretto G (2016). Information bottleneck learning using privileged information for visual recognition. IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), 1496–1505.
  39. Siyahjani F, Almohsen R, Sabri S, Doretto G (2015). A Supervised Low-rank Method for Learning Invariant Subspaces. IEEE International Conference on Computer Vision (ICCV), 4220–4228.
  40. Siyahjani F, Motiian S, Bharthavarapu H, Sharlemin S, Doretto G (2014). Online Geometric Human Interaction Segmentation and Recognition. IEEE International Conference on Multimedia and Expo (ICME), 1-6.
  41. Morehead M, Jones Q, Blatt J, Holcomb P, Schultz J, DeFanti T, Ellisman M, Doretto G, Spirou GA (2014). BrainTrek: An Immersive Environment for Investigating Neuronal Tissue. IEEE Symposium on 3D User Interfaces (3DUI), 157-158.
  42. Motiian S, Feng K, Bharthavarapu H, Sharlemin S, Doretto G (2013). Pairwise Kernels for Human Interaction Recognition. Advances in Visual Computing, Springer Berlin Heidelberg, Vol. 8034. Lecture Notes in Computer Science, 210–221.
  43. Velasquez AF, Marani G, Evans T, Napolitano MR, Christian JA, Doretto G (2013). Virtual simulator for testing a vision based pose estimation system for autonomous capture of satellites with interface rings. 21st Mediterranean Conference on Control and Automation (MED), 1597–1602.
  44. Siyahjani F, Doretto G (2012). Learning a Context Aware Dictionary for Sparse Representation. Asian Conference on Computer Vision (ACCV), Berlin, Heidelberg: Springer Berlin Heidelberg, 228-241.
  45. Lim S, Doretto G, Rittscher J (2011). Multi-class Object Layout with Unsupervised Image Classification and Object Localization. Advances in Visual Computing, Berlin, Heidelberg: Springer Berlin Heidelberg, 573–585.
  46. Doretto G, Yao Y (2010). Region Moments: Fast invariant descriptors for detecting small image structures. IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), Los Alamitos, CA, USA: IEEE Computer Society, 3019–3026.
  47. Yao Y, Doretto G (2010). Boosting for transfer learning with multiple sources. IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), Los Alamitos, CA, USA: IEEE Computer Society, 1855–1862.
  48. Lim S, Doretto G, Rittscher J (2010). Object Constellations: Scalable, simultaneous detection and recognition of multiple specific objects. Proceedings of the ECCV Workshop on Vision for Cognitive Tasks.
  49. Kim SJ, Doretto G, Rittscher J, Tu P, Krahnstoever N, Pollefeys M (2009). A model change detection approach to dynamic scene modeling. IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), 490–495.
  50. Krahnstoever N, Tu P, Yu T, Patwardhan K, Hamilton D, Yu B, Greco C, Doretto G (2009). Intelligent video for protecting crowded sports venues. IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), 116–121.
  51. Wu H, Liu X, Doretto G (2008). Face alignment using boosted ranking models. IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), 1–8.
  52. Tu P, Sebastian T, Doretto G, Krahnstoever N, Rittscher J, Yu T (2008). Unified crowd segmentation. European Conference on Computer Vision (ECCV), Berlin, Heidelberg: Springer Berlin Heidelberg, 691–704.
  53. Tu PH, Doretto G, Krahnstoever NO, Perera AAG, Wheeler FW, Liu X, Rittscher J, Sebastian TB, Yu T, Harding KG (2007). An intelligent video framework for homeland protection. In Carapezza EM (Ed.), Proceedings of SPIE Defence and Security Symposium - Unattended Ground, Sea, and Air Sensor Technologies and Applications IX, Orlando, FL, USA: SPIE, Vol. 6562, 65620C.
  54. Wang X, Doretto G, Sebastian TB, Rittscher J, Tu PH (2007). Shape and appearance context modeling. IEEE International Conference on Computer Vision (ICCV), 1-8.
  55. Chan MT, Hoogs A, Sun Z, Schmiederer J, Bhotika R, Doretto G (2006). Event recognition with fragmented object tracks. International Conference on Pattern Recognition (ICPR), New York City, NY, USA, Vol. 1, 412–416.
  56. Chan MT, Hoogs A, Bhotika R, Perera A, Schmiederer J, Doretto G (2006). Joint recognition of complex events and track matching. IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), New York City, NY, USA, Vol. 2, 1615–1622.
  57. Perera AGA, Brooksby G, Hoogs A, Doretto G (2006). Moving object segmentation using scene understanding. Proceedings of IEEE Computer Society Workshop on Perceptual Organization in Computer Vision, New York City, NY, USA, 201-208.
  58. Doretto G (2005). Modeling dynamic scenes with active appearance. IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), San Diego, CA, USA, Vol. 1, 66-73.
  59. Doretto G, Jones E, Soatto S (2004). Spatially homogeneous dynamic textures. In Pajdla T, Matas T (Eds.), European Conference on Computer Vision (ECCV), Prague, Czech Republic: Springer Berlin Heidelberg, Vol. 2, 591–602.
  60. Doretto G, Cremers D, Favaro P, Soatto S (2003). Dynamic texture segmentation. IEEE International Conference on Computer Vision (ICCV), Nice, France, Vol. 2, 1236–1242.
  61. Doretto G, Soatto S (2003). Towards plenoptic dynamic textures. Proceedings of the 3rd International Workshop on Texture Analysis and Synthesis, Nice, France, 25-30.
  62. Doretto G, Soatto S (2003). Editable dynamic textures. IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), Madison, WI, USA, 137-142.
  63. Doretto G, Soatto S (2002). Editable dynamic textures. ACM SIGGRAPH 2002 Conference Abstracts and Applications, San Antonio, TX: Association for Computing Machinery, 177.
  64. Saisan P, Doretto G, Wu YN, Soatto S (2001). Dynamic texture recognition. IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), Kauai, HI, Vol. 2, 58-63.
  65. Soatto S, Doretto G, Wu YN (2001). Dynamic textures. IEEE International Conference on Computer Vision (ICCV), Vancouver, BC, Canada, Vol. 2, 439–446.
  66. Cortelazzo GM, Doretto G, Lucchese L (1998). Free-form textured surfaces registration by a frequency domaintechnique. IEEE International Conference on Image Processing (ICIP), Chicago, IL, USA, Vol. 1, 813–817.
  67. Cortelazzo GM, Doretto G, Lucchese L, Totaro S (1998). Three dimensional view registration by a frequency domain technique. European Signal Processing Conference (EUSIPCO), Island of Rhodes, Greece, 1289-1292.
  68. Cortelazzo GM, Doretto G, Lucchese L, Totaro S (1998). A frequency domain method for registration of range data. IEEE International Symposium on Circuits and Systems (ISCAS), Monterey, CA, USA, Vol. 5, 518-521.
  69. Lucchese L, Doretto G, Cortelazzo GM (1997). Frequency domain estimation of 3D rigid motion based on range and intensity data. International Conference on Recent Advances in 3-D Digital Imaging and Modeling (3DIM), Ottawa, Ontario, Canada, 107–112.

Other

  1. Mohamadi S, Doretto G, Adjeroh DA (2024). Direct Coloring for Self-Supervised Enhanced Feature Decoupling. arXiv.
  2. Mohamadi S, Doretto G, Adjeroh DA (2024). GUESS: Generative Uncertainty Ensemble for Self Supervision. arXiv.
  3. Mohamadi S, Doretto G, Adjeroh DA (2024). Rethinking Self-Supervised Learning Within the Framework of Partial Information Decomposition. arXiv.
  4. Pidhorskyi S, Morehead M, Jones Q, Spirou G, Doretto G (2018). syGlass: Interactive Exploration of Multidimensional Images Using Virtual Reality Head-mounted Displays.
  5. Tu PH, Wheeler F, Krahnstoever N, Sebastian T, Rittscher J, Liu X, Perera A, Doretto G (2007). Surveillance video analytics for large camera networks. SPIE Newsroom.

Report

  1. Doretto G, Dawson JM, Cukic B (2013). Human Activities Under Surveillance Collection. West Virginia University.
  2. Yao Y, Doretto G (2009). Boosting for transfer learning with multiple sources. Niskayuna, NY, USA: GE Global research: Visualization and Computer Vision Laboratory.
  3. Doretto G, Yao Y (2009). Fast invariant region descriptors based on moments of image features. Niskayuna, NY, USA: GE Global research: Visualization and Computer Vision Laboratory.
  4. Wu H, Liu X, Doretto G (2008). Face alignment via boosted ranking models. Niskayuna, NY, USA: GE Global research: Visualization and Computer Vision Laboratory.
  5. Ravichandran A, Doretto G, Liu X (2008). Face recognition from video sequence with mesh based alignment. Niskayuna, NY, USA: GE Global research: Visualization and Computer Vision Laboratory.
  6. Tu P, Yu T, Rittscher J, Doretto G, Krahnstoever N, Sebastian T (2008). Unified crowd segmentation. Niskayuna, NY, USA: GE Global research: Visualization and Computer Vision Laboratory.
  7. Doretto G, Wang X (2007). Integral computations: A framework to compute fast region based features. Niskayuna, NY, USA: GE Global research: Visualization and Computer Vision Laboratory.
  8. Doretto G, Wang X, Sebastian TB, Rittscher J, Tu P (2007). Shape and appearance context modeling: A fast framework for matching the appearance of people. Niskayuna, NY, USA: GE Global research: Visualization and Computer Vision Laboratory.
  9. Tu P, Doretto G, Krahnstoever N, Perera AGA, Wheeler F, Liu X, Rittscher J, Sebastian T, Yu T, Harding K (2007). An intelligent video framework for homeland protection. Niskayuna, NY, USA: GE Global research: Visualization and Computer Vision Laboratory.
  10. Chan M, Hoogs A, Sun A, Schmiederer J, Bhotika R, Doretto G (2006). Event recognition with fragmented object tracks. Niskayuna, NY, USA: GE Global research: Visualization and Computer Vision Laboratory.
  11. Kim SJ, Doretto G, Rittscher J, Tu P, Pollefeys M (2005). A saliency model for active camera control. Niskayuna, NY, USA: GE Global research: Visualization and Computer Vision Laboratory.
  12. Perera AGA, Brooksby G, Hoogs A, Doretto G, Kaufhold J (2005). Moving object segmentation using scene understanding. Niskayuna, NY, USA: GE Global research: Visualization and Computer Vision Laboratory.
  13. Doretto G, Soatto S (2004). Modeling dynamic scenes with active appearance. Los Angeles, CA, USA: UCLA Computer Science Department.
  14. Cremers D, Doretto G, Favaro P, Soatto S (2003). Dynamic texture segmentation. Los Angeles, CA, USA: UCLA Computer Science Department.
  15. Doretto G, Soatto S (2002). Towards plenoptic dynamic textures. Los Angeles, CA, USA: UCLA Computer Science Department.
  16. Doretto G, Soatto S (2002). Editable dynamic textures. Los Angeles, CA, USA: UCLA Computer Science Department.
  17. Doretto G, Pundir P, Wu YN, Soatto S (2000). Dynamic textures. Los Angeles, CA, USA: UCLA Computer Science Department.