Computer Vision

B. Nlong Zhao, Y. Xiao, J. Xu, X. Jiang, Y. Yang, D. Li, L. Itti, V. Vineet, Y. Ge, DreamDistribution: Prompt Distribution Learning for Text-to-Image Diffusion Models, arXiv e-prints, pp. arXiv--2312, 2023. [ArXiv Preprint]

K. Lekkala, E. Bhargava, L. Itti, Evaluating Pretrained models for Deployable Lifelong Learning, In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), pp. 552--560, Jan 2024. [2024 acceptance rate: 34%] (Cited by 2)

I. Fostiropoulos, J. Zhu, L. Itti, Batch Model Consolidation: A Multi-Task Model Consolidation Framework, In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 3664--3676, 2023. [2023 acceptance rate: 25.78%] (Cited by 1)

Y. Ge, Y. Li, S. Ni, J. Zhao, M. H. Yang, L. Itti, CLR: Channel-wise Lightweight Reprogramming for Continual Learning, In: Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), pp. 18798--18808, 2023. [2023 acceptance rate: 26.8%] (Cited by 8)

Y. Ge, J. Xu, B. N. Zhao, N. Joshi, L. Itti, V. Vineet, Beyond generation: Harnessing text to image models for object detection and segmentation, arXiv preprint arXiv:2309.05956, 2023. [ArXiv Preprint] (Cited by 1)

Y. Ge, J. Ren, A. Gallagher, Y. Wang, M. H. Yang, H. Adam, L. Itti, B. Lakshminarayanan, J. Zhao, Improving Zero-shot Generalization and Robustness of Multi-modal Models, In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 11093--11101, 2023. [2023 acceptance rate: 25.78%] (Cited by 8)

A. M. Jones, G. Sahin, Z. W. Murdock, Y. Ge, A. Xu, Y. Li, D. Wu, S. Ni, P. H. Huang, K. Lekkala, L. Itti, USC-DCT: A Collection of Diverse Classification Tasks, Data, Vol. 8, No. 10, p. 153, MDPI, Oct 2023. [2022 impact factor: 2.6] (Cited by 7)

Y. Ge, Y. Li, D. Wu, A. Xu, A. M. Jones, A. S. Rios, I. Fostiropoulos, P. H. Huang, Z. W. Murdock, G. Sahin, S. Ni, K. Lekkala, S. A. Sontakke, L. Itti, Lightweight Learner for Shared Knowledge Lifelong Learning, Transactions on Machine Learning Research, pp. 1--26, 2023. (Cited by 3)

Y. Ge, J. Ren, J. Zhao, K. Chen, A. Gallagher, L. Itti, B. Lakshminarayanan, Building One-class Detector for Anything: Open-vocabulary Zero-shot OOD Detection Using Text-image Models, arXiv preprint arXiv:2305.17207, 2023. [ArXiv Preprint] (Cited by 1)

C. Liu, K. Lekkala, L. Itti, World Model Based Sim2Real Transfer for Visual Navigation, arXiv preprint arXiv:2310.18847, 2023. [ArXiv Preprint] (Cited by 7)

K. Lekkala, H. Bao, S. Sontakke, L. Itti, Value Explicit Pretraining for Goal-Based Transfer Learning, arXiv preprint arXiv:2312.12339, 2023. [ArXiv Preprint] (Cited by 7)

I. Fostiropoulos, B. Brown, L. Itti, Reproducibility Requires Consolidated Artifacts, arXiv preprint arXiv:2305.12571, 2023. [ArXiv Preprint] (Cited by 1)

G. Sahin, L. Itti, HOOT: Heavy Occlusions in Object Tracking Benchmark, In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), pp. 4830--4839, Jan 2023. [2023 acceptance rate: 35%] (Cited by 2)

Y. Ge, Z. Xu, Y. Xiao, G. Xin, Y. Pang, L. Itti, Encouraging Disentangled and Convex Representation with Controllable Interpolation Regularization, In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), pp. 4761--4769, Jan 2023. [2023 acceptance rate: 35%] (Cited by 2)

A. Rios, N. Ahuja, I. Ndiour, U. Genc, L. Itti, O. Tickoo, incDFM: Incremental Deep Feature Modeling for Continual Novelty Detection, In: European Conference on Computer Vision (ECCV), pp. 588--604, Oct 2022. [2022 acceptance rate: 28%] (Cited by 5)

Y. Ge, Y. Xiao, Z. Xu, X. Wang, L. Itti, Contributions of Shape, Texture, and Color in Visual Recognition, In: European Conference on Computer Vision, pp. 369--386, Oct 2022. [2022 acceptance rate: 28%] (Cited by 7)

Y. Ge, H. Behl, J. Xu, S. Gunasekar, N. Joshi, Y. Song, X. Wang, L. Itti, V. Vineet, Neural-Sim: Learning to Generate Training Data with NeRF, In: European Conference on Computer Vision, pp. 477--493, Oct 2022. [2022 acceptance rate: 28%] (Cited by 15)

S. Roychowdhury, S. Sontakke, L. Itti, M. Sarkar, M. Aggarwal, P. Badjatiya, N. Puri, B. Krishnamurthy, SHERLock: Self-Supervised Hierarchical Event Representation Learning, In: 2022 26th International Conference on Pattern Recognition (ICPR), IEEE, pp. 2672--2678, Aug 2022. [2022 acceptance rate: 52%] (Cited by 3)

S. Wen, L. Itti, Adversarial Training: embedding adversarial perturbations into the parameter space of a neural network to build a robust system, arXiv preprint arXiv:1910.04279, 2021. [ArXiv Preprint] (Cited by 2)

Y. Ge, S. Abu-El-Haija, G. Xin, L. Itti, Zero-shot Synthesis with Group-Supervised Learning, In: International Conference on Learning Representations (ICLR'21), pp. 1-16, 2021. [2021 acceptance rate: 28.7%] (Cited by 29)

G. Sahin, L. Itti, Multi-Task Occlusion Learning for Real-Time Visual Object Tracking, In: 2021 IEEE International Conference on Image Processing (ICIP), IEEE, pp. 524--528, 2021. [2020 acceptance rate: 47.9%] (Cited by 3)

Y. Ge, Y. Xiao, Z. Xu, M. Zheng, S. Karanam, T. Chen, L. Itti, Z. Wu, A Peek Into the Reasoning of Neural Networks: Interpreting with Structural Visual Concepts, In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 2195--2204, 2021. [2021 acceptance rate: 23.7%] (Cited by 38)

Y. Ge, Z. Xu, Y. Xiao, G. Xin, Y. Pang, L. Itti, Encouraging Disentangled and Convex Representation with Controllable Interpolation Regularization, arXiv preprint arXiv:2112.03163, 2021. [ArXiv Preprint] (Cited by 26)

Y. Ge, Y. Pang, L. Li, L. Itti, Graph Autoencoder for Graph Compression and Representation Learning, In: Neural Compression: From Information Theory to Applications--Workshop of ICLR 2021, pp. 1-9, 2021. (Cited by 3)

K. Lekkala, L. Itti, Shaped Policy Search for Evolutionary Strategies using Waypoints, In: 021 IEEE International Conference on Robotics and Automation (ICRA 2021), pp. 9093-9100, May 2021. [2021 acceptance rate: 45%] (Cited by 1)

S. A. Sontakke, S. Roychowdhury, M. Sarkar, N. Puri, B. Krishnamurthy, L. Itti, Video2Skill: Adapting Events in Demonstration Videos to Skills in an Environment using Cyclic MDP Homomorphisms, arXiv preprint arXiv:2109.03813, 2021. [ArXiv Preprint] (Cited by 1)

Y. Ge, G. Xin, Z. Xu, Y. Xiao, Y. Pang, H. Yining, L. Itti, Generative Auto-Encoder: Controllable Synthesis with Disentangled Exploration, 2020. [ArXiv Preprint] (Cited by 26)

J. T. Leksut, J. Zhao, L. Itti, Learning visual variation for object recognition, Image and Vision Computing, pp. 1-11, Elsevier, 2020. [2020 impact factor: 4.48] (Cited by 10)

S. Roychowdhury, S. A. Sontakke, N. Puri, M. Sarkar, M. Aggarwal, P. Badjatiya, B. Krishnamurthy, L. Itti, Unsupervised Hierarchical Concept Learning, arXiv preprint arXiv:2010.02556, 2020. [ArXiv Preprint]

Y. Ge, S. Abu-El-Haija, G. Xin, L. Itti, Zero-shot Synthesis with Group-Supervised Learning, arXiv preprint arXiv:2009.06586, 2020. [ArXiv Preprint] (Cited by 29)

S. Wen, A. Rios, Y. Ge, L. Itti, Beneficial Perturbation Network for designing general adaptive artificial intelligence systems, arXiv preprint arXiv:2009.13954, 2020. [ArXiv Preprint] (Cited by 17)

A. Rios, L. Itti, Closed-Loop Memory GAN for Continual Learning, In: Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence Main track (IJCAI'19), pp. 3332-3338, Aug 2019. (Cited by 52)

K. Okamoto, L. Itti, P. Tsiotras, Vision-Based Autonomous Path Finding Using a Human Driver Control Model with Reliable Input-Feature Value Estimation, IEEE Transactions on Intelligent Vehicles, pp. 1-10, Feb 2019. (Cited by 22)

G. Zhang, D. Zhu, X. Liu, M. Chen, L. Itti, Y. Luo, J. Lu, Multi-scale pulmonary nodule classification with deep feature fusion via residual network, Journal of Ambient Intelligence and Humanized Computing, pp. 1-12, Springer, Nov 2018. [2017 impact factor: 1.423] (Cited by 7)

D. Zhu, L. Dai, Y. Luo, G. Zhang, X. Shao, L. Itti, J. Lu, Multi-Scale Adversarial Feature Learning for Saliency Detection, Symmetry, Vol. 10, No. 10, pp. 1-10, Oct 2018. [2018 impact factor: 1.256] (Cited by 21)

D. Zhu, Y. Luo, L. Dai, X. Shao, Q. Zhou, L. Itti, J. Lu, Salient object detection via a local and global method based on deep residual network, Journal of Visual Communication and Image Representation, Vol. 54, pp. 1-9, Elsevier, Jul 2018. [2017 impact factor: 1.836] (Cited by 22)

C. K. Chang, J. Zhao, L. Itti, DeepVP: Deep Learning for Vanishing Point Detection on 1 Million Street View Images, In: Proc. IEEE International Conference on Robotics and Automation (ICRA), IEEE, pp. 1-8, May 2018. [2018 acceptance rate: 40.0%] (Cited by 52)

J. Windau, L. Itti, Inertial Machine Monitoring System for Automated Failure Detection, In: Proc. IEEE International Conference on Robotics and Automation (ICRA), pp. 93-98, May 2018. [2018 acceptance rate: 40.0%] (Cited by 18)

J. Zhao, L. Itti, shapeDTW: shape Dynamic Time Warping, Pattern Recognition, pp. 171--184, Feb 2018. [2017 impact factor: 3.962] (Cited by 194)

J. Zhao, L. Itti, Improved Deep Learning of Object Category using Pose Information, In: Proceedings of the IEEE Winter Conference on Applications of Computer Vision (WACV), Santa Rosa, CA, pp. 1-10, Mar 2017. [2017 acceptance rate: 44%] (Cited by 7)

J. Zhao, C. K. Chang, L. Itti, Learning to Recognize Objects by Retaining other Factors of Variation, In: Proceedings of the IEEE Winter Conference on Applications of Computer Vision (WACV), Santa Rosa, CA, pp. 1-9, Mar 2017. [2017 acceptance rate: 44%] (Cited by 10)

A. Borji, S. Izadi, L. Itti, iLab-20M: A large-scale controlled object dataset to investigate deep learning, In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Las Vegas, NV, pp. 2221-2230, Jun 2016. [Conference acceptance rate: 29.9%] (Cited by 83)

J. Zhao, L. Itti, Decomposing Time Series with application to Temporal Segmentation, In: Proceedings of the IEEE Winter Conference on Applications of Computer Vision (WACV), Lake Placid, NY, pp. 1-9, Mar 2016. [2016 first round acceptance rate: 34%] (Cited by 19)

J. Wang, A. Borji, C.-C. J. Kuo, L. Itti, Learning a combined model of visual saliency for fixation prediction, IEEE Transactions on Image Processing, Vol. 25, No. 4, pp. 1566-1579, Apr 2016. [2014 impact factor: 3.625] (Cited by 73)

C. Siagian, L. Itti, Impact of Neuroscience in Robotic Vision Localization and Navigation, (Q. Zhao Ed.), Springer Singaore, Sep 2016. (Cited by 1)

J. Zhao, L. Itti, Classifying Time Series using Local Descriptors with Hybrid Sampling, IEEE Transactions on Knowledge and Data Engineering, Vol. 28, No. 3, pp. 623-637, Mar 2016. [2015 impact factor: 2.476] (Cited by 44)

J. Zhao, C. Siagian, L. Itti, Fixation Bank: Learning to Reweight Fixation Candidates, In: Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Boston, MA, pp. 3174-3182, Jun 2015. [2015 acceptance rate: 28%] (Cited by 14)

F. Baluch, L. Itti, Mining videos for features that drive attention, In: Multimedia Data Mining and Analytics, (A. K. Baughman, J. Gao, J. Pan, V. A. Petrushin Ed.), pp. 311-326, Apr 2015. (Cited by 6)

S. Filipe, L. Itti, L. A. Alexandre, BIK-BUS: Biologically Motivated 3D Keypoint Based on Bottom-Up Saliency, IEEE Transactions on Image Processing, Vol. 24, No. 1, pp. 163-175, Jan 2015. [2013 impact factor: 3.111] (Cited by 31)

D. Parks, L. Itti, Integrating Human Context And Occlusion Reasoning To Improve Handheld Object Tracking, In: Proc. IEEE International Conference on Image Processing (ICIP), Paris, France, pp. 1-5, Oct 2014. (Cited by 2)

K. Thakoor, N. Mante, C. Siagian, J. D. Weiland, L. Itti, G. Medioni, A System for Assisting the Visually Impaired in Localization and Grasp of Desired Objects, In: Proc. European Conference on Computer Vision (ECCV), Workshop on Assistive Computer Vision and Robotics, Zurich, Switzerland, Sep 2014. (Cited by 26)

P. Tseng, I. G. M. Cameron, D. P. Munoz, L. Itti, Eye-tracking method and system for screening human diseases, University of Southern California and Queen's University, Aug 2014. [Patent/Copyright]

A. McNamara, K. Mania, G. Koulieris, L. Itti, Attention-aware rendering, mobile graphics and games, In: Proceeding ACM SIGGRAPH 2014 Courses, pp. 6.1 - 6.119, Aug 2014. (Cited by 11)

R. Kasturi, D. Goldgof, R. Ekambaram, G. Pratt, E. Krotkov, D. D. Hackett, Y. Ran, Q. Zheng, R. Sharma, M. Anderson, M. Peot, M. Aguilar, D. Khosla, Y. Chen, K. Kim, L. Elazary, R. C. Voorhies, D. F. Parks, L. Itti, Performance Evaluation of Neuromorphic-Vision Object Recognition Algorithms, In: Proc. 22nd International Conference on Pattern Recognition (ICPR'14), Stockholm, Sweden, Aug 2014.

A. Borji, L. Itti, Human vs. computer in scene and object recognition, In: Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Columbus, Ohio, pp. 1-8, Jun 2014. [2014 acceptance rate: 29.9%] (Cited by 74)

A. Borji, Hamed R. Tavakoli, D. N. Sihite, L. Itti, Analysis of scores, datasets, and models in visual saliency prediction, In: Proc. International Conference on Computer Vision (ICCV), Sydney, Australia, Dec 2013. [2013 acceptance rate (oral presentation): 2.52%] (Cited by 257)

K. Thakoor, S. Marat, P. Nasiatka, B. Mcintosh, F. Sahin, A. R. Tanguay, J. D. Weiland, L. Itti, Attention-Biased Speeded-Up Robust Features (AB-SURF): A Neurally-Inspired Object Recognition Algorithm for A Wearable Aid for the Visually Impaired, In: Proc. IEEE Conference on Multimedia and Expo (ICME), Workshop on Multimodal and Alternative Perception for the Visually Impaired People (MAP4VIP), Jul 2013. [2013 acceptance rate: 50.0%] (Cited by 19)

N. Parikh, L. Itti, M. Humayun, J. Weiland, Performance of visually guided tasks using simulated prosthetic vision and saliency-based cues, Journal of Neural Engineering, Vol. 10, No. 2, p. 026017, IOP Publishing, 2013. (Cited by 61)

A. Borji, D. N. Sihite, L. Itti, Salient Object Detection: A Benchmark, In: Proc. European Conference on Computer Vision (ECCV), Florence, Italy (LNCS 7573), pp. 414-429, Oct 2012. [2012 acceptance rate: 25.0%] (Cited by 141)

R. C. Voorhies, L. Elazary, L. Itti, Neuromorphic Bayesian Surprise for Far-Range Event Detection, In: Proc. 9th IEEE International Conference on Advanced Video and Signal-Based Surveillance (AVSS), Beijing, China, Sep 2012. [2012 acceptance rate: 47.2%] (Cited by 3)

A. Borji, D. N. Sihite, L. Itti, An Object-based Bayesian Framework for Top-down Visual Attention, In: Proc. Twenty-Sixth AAAI Conference on Artificial Intelligence (AAAI-12), Toronto, Canada, pp. 1529-1535, Aug 2012. [2012 acceptance rate: 26.0%] (Cited by 29)

A. Borji, D. N. Sihite, L. Itti, Probabilistic Learning of Task-Specific Visual Attention, In: Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Providence, Rhode Island, pp. 1-8, Jun 2012. [2012 acceptance rate: 26.2%] (Cited by 141)

A. Borji, S. Frintrop, D. N. Sihite, L. Itti, Adaptive Object Tracking by Learning Background Context, In: Proc. IEEE CVPR 2012, Egocentric Vision workshop, Providence, Rhode Island, pp. 1-8, Jun 2012. (Cited by 169)

S. Marat, L. Itti, Influence of the amount of context learned for improving object classification when simultaneously learning object and contextual cues, Visual Cognition, Vol. 20, No. 4-5, pp. 580-602, Apr 2012. [2010 Impact Factor: 1.828] (Cited by 10)

A. Borji, D. N. Sihite, L. Itti, Modeling the Influence of Action on Spatial Attention in Visual Interactive Environments, In: Proc. IEEE International Conference on Robotics and Automation (ICRA), pp. 1-7, May 2012. [2012 acceptance rate: 40%] (Cited by 6)

C.-K. Chang, C. Siagian, L. Itti, Mobile robot vision navigation and obstacle avoidance based on gist and saliency algorithms, In: Proc. Vision Science Society Annual Meeting (VSS11), May 2011. (Cited by 5)

A-Y. D. Chiang, D. J. Berg, L. Itti, Saliency, Memory, and Attention Capture in Marketing, In: Proc. Vision Science Society Annual Meeting (VSS11), May 2011. (Cited by 2)

Z. Li, L. Itti, Saliency and Gist Features for Target Detection in Satellite Images, IEEE Transactions on Image Processing, Vol. 20, No. 7, pp. 2017-2029, 2011. [2009 impact factor: 2.848] (Cited by 209)

Z. Li, S. Qin, L. Itti, Visual attention guided bit allocation in video compression, Image and Vision Computing, Vol. 29, No. 1, pp. 1-14, Jan 2011. [2009 Impact Factor: 1.474] (Cited by 282)

D. F. Parks, A. Jain, J. McInerney, L. Itti, GPGPU-based real-time object detection and recognition system, In: Proc. Vision Science Society Annual Meeting (VSS10), May 2010. (Cited by 1)

R. C. Voorhies, L. Elazary, L. Itti, Application of a Bottom-Up Visual Surprise Model for Event Detection in Dynamic Natural Scenes, In: Proc. Vision Science Society Annual Meeting (VSS10), May 2010. (Cited by 5)

L. Elazary, L. Itti, Framework and implementation for perception, In: Proc. Vision Science Society Annual Meeting (VSS10), May 2010. (Cited by 164)

Z. Li, L. Itti, Gist Based Top-Down Templates for Gaze Prediction, In: Proc. Vision Science Society Annual Meeting (VSS09), May 2009. (Cited by 2)

K. Mitchell, Do Men and Women Take Different Photos?, Popular Photography, Jan 2009.

E. Grasso, Come rimanere 'a bocca aperta' da adulti, Yahoo Italia Notizie, Jan 2009.

A. Anonymous, Huha-faktorral vizsgaljak a meglepetest, Index.hu, Jan 2009.

L. Geddes, Model of surprise has 'wow' factor built in, New Scientist, Jan 2009.

E. Byrne, Surprise moves eyes, Primary Visual Cortex, Oct 2008.

N. Matthews, The Photographer's Guide to the Eye, Popular Photography, Aug 2008.

A. Anonymous, Professors Win Okawa Research Awards, USC Press release, Aug 2008.

L. Elazary, L. Itti, Interesting objects are visually salient, Journal of Vision, Vol. 8, No. 3:3, pp. 1-15, Mar 2008. [2006 impact factor: 3.753] (Cited by 363)

R. J. Peters, L. Itti, Congruence between model and human attention reveals unique signatures of critical visual events, In: Advances in Neural Information Processing Systems, Vol. 20 (NIPS*2007), pp. 1145-1152, Cambridge, MA:MIT Press, Jun 2008. [2007 oral acceptance rate: 10.4%] (Cited by 35)

R. J. Peters, L. Itti, Applying computational tools to predict gaze direction in interactive visual environments, ACM Transactions on Applied Perception, Vol. 5, No. 2, p. Article 8, 2008. (Cited by 153)

A. Anonymous, Soon, robots with human gaze, The Times of India, Oct 2007.

B. Dume, Virtual human has a roving eye, The New Scientist, Oct 2007.

A. Anonymous, The next generation of innovators, www.usc.edu main site, Oct 2007.

A. Anonymous, SeaBee II Swims for USC in This Week's International Underwater Robot Contest, www.exduco.net - Graduate schools and programs guide, Jul 2007.

R. J. Peters, L. Itti, Beyond bottom-up: Incorporating task-dependent influences into a computational model of spatial attention, In: Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Jun 2007. [2007 acceptance rate: 28%] (Cited by 353)

C. Scott, Technical Article: Don't let Colours Hide the Alarms!, The Industrial Ethernet Book, Mar 2007.

L. Itti, P. F. Baldi, Modeling what attracts human gaze over dynamic natural scenes, In: Computational Vision in Neural and Machine Systems, (L. Harris, M. Jenkin Ed.), Cambridge, MA:Cambridge University Press, 2006. (Cited by 791)

A. Anonymous, Beobots, USC Computer Science main site rolling featured research, Sep 2006.

V. Navalpakkam, L. Itti, An Integrated Model of Top-down and Bottom-up Attention for Optimal Object Detection, In: Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 2049-2056, Jun 2006. [2006 acceptance rate: 28%] (Cited by 567)

J. Bonaiuto, L. Itti, The Use of Attention and Spatial Information for Rapid Facial Recognition in Video, Image and Vision Computing, Vol. 24, No. 6, pp. 557-563, Jun 2006. [2004 impact factor: 1.159] (Cited by 26)

T. N. Mundhenk, J. Everist, C. Landauer, L. Itti, K. Bellman, Distributed biologically-based real-time tracking in the absence of prior target information, In: Proc. SPIE International Conference on Intelligent Robots and Computer Vision XXIII: Algorithms, Techniques, and Active Vision, (D. P. Casasent, E. L. Hall, J. Roning Ed.), Vol. 6006, pp. 142-153, Bellingham, WA:SPIE Press, Oct 2005. (Cited by 10)

E. Gaona, Below and beyond -- Students show off underwater crafts at S.D. competition, San Diego Union Tribune, Aug 2005.

J. Bonaiuto, L. Itti, Combining attention and recognition for rapid scene analysis, In: Proc. IEEE-CVPR Workshop on Attention and Performance in Computer Vision (WAPCV'05), San Diego, California, pp. 1-6, Jun 2005. (Cited by 41)

C. Siagian, L. Itti, Gist: A Mobile Robotics Application of Context-Based Vision in Outdoor Environment, In: Proc. IEEE-CVPR Workshop on Attention and Performance in Computer Vision (WAPCV'05), San Diego, California, pp. 1-7, Jun 2005. (Cited by 46)

L. Itti, P. F. Baldi, A Principled Approach to Detecting Surprising Events in Video, In: Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 631-637, Jun 2005. [2005 acceptance rate: 28%] (Cited by 538)

L. Itti, P. F. Baldi, A surprise theory of attention, In: Proc. Vision Science Society Annual Meeting (VSS05), May 2005. (Cited by 791)

C. Ackerman, L. Itti, Robot Steering With Spectral Image Information, IEEE Transactions on Robotics, Vol. 21, No. 2, pp. 247-251, Apr 2005. [2003 impact factor: 2.103] (Cited by 44)

Neurobiology of Attention, (L. Itti, G. Rees, J. K. Tsotsos Ed.), pp. 1-744, San Diego, CA:Elsevier, Jan 2005. (Cited by 422)

D. R. Edgington, I. Kerkez, D. Oliver, L. Kuhnz, D. Cline, D. Walther, L. Itti, Detecting Benthic Megafauna in Underwater Video, In: Proc. 2004 AGU Fall Meeting (AVED), Vol. 85, No. 47, p. OS43B/0551, Dec 2004. (Cited by 3)

T. N. Mundhenk, C. Landauer, K. Bellman, M. A. Arbib, L. Itti, Teaching the computer subjective notions of feature connectedness in a visual scene for real time vision, In: Proc. SPIE Conference on Intelligent Robots and Computer Vision XXII: Algorithms, Techniques, and Active Vision, (D. P. Casasent, E. L. Hall, J. Roning Ed.), Vol. 5608, pp. 136-147, Bellingham, WA:SPIE Press, Oct 2004. (Cited by 3)

L. Itti, P. F. Baldi, A Surprising Theory of Attention, In: Proc. IEEE Workshop on Applied Imagery and Pattern Recognition (AIPR), Oct 2004. (Cited by 15)

P. Natarajan, T. N. Mundhenk, K. Bellman, L. Itti, M. A. Arbib, Camera localization methods for intelligent room systems using RF techniques, In: Proc. SPIE International Conference on Intelligent Robots and Computer Vision XXII: Algorithms, Techniques, and Active Vision, (D. P. Casasent, E. L. Hall, J. Roning Ed.), Vol. 5608, pp. 177-187, Bellingham, WA:SPIE Press, Oct 2004. (Cited by 5)

C. Siagian, L. Itti, Biologically-Inspired Face Detection: Non-Brute-Force-Search Approach, In: First IEEE-CVPR International Workshop on Face Processing in Video, pp. 62-69, Jun 2004. (Cited by 30)

L. Itti, Automatic Foveation for Video Compression Using a Neurobiological Model of Visual Attention, IEEE Transactions on Image Processing, Vol. 13, No. 10, pp. 1304-1318, Oct 2004. [2003 impact factor: 2.642] (Cited by 992)

K. Patch, Model keeps virtual eyes right, Technology Research News, Mar 2004.

L. Itti, The iLab Neuromorphic Vision C++ Toolkit: Free tools for the next generation of vision algorithms, The Neuromorphic Engineer, Vol. 1, No. 1, p. 10, Mar 2004. (Cited by 35)

T. N. Mundhenk, V. Navalpakkam, H. Makaliwe, S. Vasudevan, L. Itti, Biologically inspired feature based categorization of objects, In: Proc. SPIE Human Vision and Electronic Imaging IX (HVEI04), San Jose, CA, (B. Rogowitz, T. N. Pappas Ed.), Vol. 5292, Bellingham, WA:SPIE Press, Jan 2004. (Cited by 7)

L. Itti, Automatic Attention-Based Prioritization of Unconstrained Video for Compression, In: Proc. SPIE Human Vision and Electronic Imaging IX (HVEI04), San Jose, CA, (B. Rogowitz, T. N. Pappas Ed.), Vol. 5292, pp. 272-283, Bellingham, WA:SPIE Press, Jan 2004. (Cited by 17)

K. Kincade, For the modern-day robot, seeing is nearing believing, Laser Focus World, Nov 2003.

T. N. Mundhenk, C. Ackerman, D. Chung, N. Dhavale, B. Hudson, R. Hirata, E. Pichon, Z. Shi, A. Tsui, L. Itti, Low-cost high-performance mobile robot design utilizing off-the-shelf parts and the Beowulf concept: the Beobot project, In: Proc. SPIE Conference on Intelligent Robots and Computer Vision XXI: Algorithms, Techniques, and Active Vision, pp. 293-303, Bellingham, WA:SPIE Press, Oct 2003. (Cited by 11)

T. N. Mundhenk, N. Dhavale, S. Marmol, E. Calleja, V. Navalpakkam, K. Bellman, C. Landauer, M. A. Arbib, L. Itti, Utilization and viability of biologically-inspired algorithms in a dynamic multi-agent camera surveillance system, In: Proc. SPIE Conference on Intelligent Robots and Computer Vision XXI: Algorithms, Techniques, and Active Vision, pp. 281-292, Bellingham, WA:SPIE Press, Oct 2003. (Cited by 5)

L. Itti, N. Dhavale, F. Pighin, Realistic Avatar Eye and Head Animation Using a Neurobiological Model of Visual Attention, In: Proc. SPIE 48th Annual International Symposium on Optical Science and Technology, (B. Bosacchi, D. B. Fogel, J. C. Bezdek Ed.), Vol. 5200, pp. 64-78, Bellingham, WA:SPIE Press, Aug 2003. (Cited by 395)

N. Dhavale, L. Itti, Saliency-Based Multi-Foveated MPEG Compression, In: Proc. IEEE Seventh International Symposium on Signal Processing and its Applications, Paris, France, pp. 229-232, Jul 2003. (Cited by 56)

V. Navalpakkam, L. Itti, Sharing Resources: Buy Attention, Get Recognition, In: Proc. International Workshop on Attention and Performance in Computer Vision (WAPCV'03), Graz, Austria, Jul 2003. (Cited by 50)

L. Itti, The Beobot Platform for Embedded Real-Time Neuromorphic Vision, In: Advances in Neural Information Processing Systems, Vol. 15, Hardware Demo Track, (T. G. Dietterich, S. Becker, Z. Ghahramani Ed.), Cambridge, MA:MIT Press, 2003. (Cited by 791)

S. Vijayakumar, A. D'Souza, J. Peters, J. Conradt, T. Rutkowski, A. Ijspeert, J. Nakanishi, M. Inoue, T. Shibata, A. Wiryo, L. Itti, S. Amari, S. Schaal, Real-Time Statistical Learning for Oculomotor Control and Visuomotor Coordination, In: Advances in Neural Information Processing Systems, Vol. 15, Hardware Demo Track, (T. G. Dietterich, S. Becker, Z. Ghahramani Ed.), Cambridge, MA:MIT Press, 2003.

V. Navalpakkam, L. Itti, A Goal Oriented Attention Guidance Model, In: Lecture Notes in Computer Science, Vol. 2525, pp. 453-461, Nov 2002. (Cited by 139)

T. N. Mundhenk, L. Itti, A Model of Contour Integration in Early Visual Cortex, In: Lecture Notes in Computer Science, Vol. 2525, pp. 80-89, Nov 2002. (Cited by 13)

D. Walther, L. Itti, M. Riesenhuber, T. Poggio, C. Koch, Attentional Selection for Object Recognition - a Gentle Way, In: Lecture Notes in Computer Science, Vol. 2525, pp. 472-479, Nov 2002. (Cited by 352)

D. Chung, R. Hirata, T. N. Mundhenk, J. Ng, R. J. Peters, E. Pichon, A. Tsui, T. Ventrice, D. Walther, P. Williams, L. Itti, A New Robotics Platform for Neuromorphic Vision: Beobots, In: Lecture Notes in Computer Science, Vol. 2525, pp. 558-566, Nov 2002. (Cited by 23)

La percezione dell'ambiente: i robot non si fermano, Programmazione.it, Oct 2002.

J. C. Diop, Upstream: Robotic Vision, Neuroscience-based strategies give robots a new outlook, Technology Review, Vol. 105, No. 8, p. 33, Oct 2002.

L. Itti, Toward highly capable neuromorphic autonomous robots: beobots, In: Proc. SPIE 47 Annual International Symposium on Optical Science and Technology, (B. Bosacchi, D. B. Fogel, J. C. Bezdek Ed.), Vol. 4787, pp. 37-45, Bellingham, WA:SPIE Press, Dec 2002. (Cited by 3)

D. Chung, L. Itti, Object recognition in the early visual system, In: Proc. 9th Joint Symposium on Neural Computation (JSNC'02), Pasadena, California, May 2002. (Cited by 13)

J. Ng, R. Hirata, T. N. Mundhenk, E. Pichon, A. Tsui, T. Ventrice, P. Williams, L. Itti, Towards Visually-Guided Neuromorphic Robots: Beobots, In: Proc. 9th Joint Symposium on Neural Computation (JSNC'02), Pasadena, California, May 2002. (Cited by 3)

E. Pichon, L. Itti, Real-Time High-Performance Attention Focusing for Outdoors Mobile Beobots, In: Proc. AAAI Spring Symposium, Stanford, CA (AAAI-TR-SS-02-04), p. 63, Mar 2002. (Cited by 9)

L. Itti, Neuromorphic Attentional Selection for Efficient Allocation of Computing Resources, In: Proc. Virtual Worlds and Simulation Conference, San Antonio, Texas, Jan 2002. (Cited by 17)

L. Itti, Real-Time High-Performance Attention Focusing in Outdoors Color Video Streams, In: Proc. SPIE Human Vision and Electronic Imaging VII (HVEI'02), San Jose, CA, (B. Rogowitz, T. N. Pappas Ed.), pp. 235-243, Bellingham, WA:SPIE Press, Jan 2002. (Cited by 49)

F. Miau, C. Papageorgiou, L. Itti, Neuromorphic algorithms for computer vision and attention, In: Proc. SPIE 46 Annual International Symposium on Optical Science and Technology, (B. Bosacchi, D. B. Fogel, J. C. Bezdek Ed.), Vol. 4479, pp. 12-23, Bellingham, WA:SPIE Press, Nov 2001. (Cited by 68)

F. Miau, L. Itti, A Neural Model Combining Attentional Orienting to Object Recognition: Preliminary Explorations on the Interplay Between Where and What, In: Proc. IEEE Engineering in Medicine and Biology Society (EMBS), Istanbul, Turkey, pp. 789-792, Oct 2001. (Cited by 41)

L. Itti, C. Gold, C. Koch, Visual Attention and Target Detection in Cluttered Natural Scenes, Optical Engineering, Vol. 40, No. 9, pp. 1784-1793, Sep 2001. [1999 impact factor: 1.171] (Cited by 161)

E. Niebur, L. Itti, C. Koch, Controlling the Focus of Visual Selective Attention, In: Models of Neural Networks IV, (L. Van Hemmen, E. Domany, J. Cowan Ed.), Springer Verlag, Aug 2001. (Cited by 33)

C. Koch, L. Itti, Computation of Intrinsic Perceptual Saliency in Visual Environments, and Applications, California Institute of Technology, Pasadena, California, Jul 2001. [Patent/Copyright]

L. Itti, C. Koch, Feature Combination Strategies for Saliency-Based Visual Attention Systems, Journal of Electronic Imaging, Vol. 10, No. 1, pp. 161-169, Jan 2001. [1999 impact factor: 0.667] (Cited by 617)

L. Itti, C. Koch, A saliency-based search mechanism for overt and covert shifts of visual attention, Vision Research, Vol. 40, No. 10-12, pp. 1489-1506, May 2000. [1998 impact factor: 1.809] (Cited by 4193)

J. Selim, Hidden in Plain Sight, Discover Magazine, p. 16, May 2000.

L. Itti, Models of Bottom-Up and Top-Down Visual Attention, California Institute of Technology, Jan 2000. [Ph.D. Thesis] (Cited by 418)

L. Itti, C. Koch, Target Detection using Saliency-Based Attention, In: Proc. RTO/SCI-12 Workshop on Search and Target Acquisition (NATO Unclassified), Utrecht, The Netherlands, RTO-MP-45 AC/323(SCI)TP/19, pp. 3.1-3.10, Jun 1999. (Cited by 44)

L. Itti, C. Koch, Comparison of Feature Combination Strategies for Saliency-Based Visual Attention Systems, In: Proc. SPIE Human Vision and Electronic Imaging IV (HVEI'99), San Jose, CA, Vol. 3644, pp. 473-82, Bellingham, WA:SPIE Press, Jan 1999. (Cited by 308)

L. Itti, C. Koch, E. Niebur, A Model of Saliency-Based Visual Attention for Rapid Scene Analysis, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 20, No. 11, pp. 1254-1259, Nov 1998. [1998 impact factor: 1.417] (Cited by 14313)