A Model of Early Visual Processing. - Laurent Itti; Jochen Braun; Dale K. Lee; Christof Koch (NIPS, 1997)

Attentional Modulation of Human Pattern Discrimination Psychophysics Reproduced by a Quantitative Model. - Laurent Itti; Jochen Braun; Dale K. Lee; Christof Koch (NIPS, 1998)

A Model of Saliency-Based Visual Attention for Rapid Scene Analysis. - Laurent Itti; Christof Koch; Ernst Niebur (IEEE Trans. Pattern Anal. Mach. Intell., 1998)

Comparison of feature combination strategies for saliency-based visual attention systems. - Laurent Itti; Christof Koch (Human Vision and Electronic Imaging, 1999)

A quantitative model relating visual neuronal activity to psychophysical thresholds. - Laurent Itti; Christof Koch; Jochen Braun (Neurocomputing, 1999)

Modeling the Modulatory Effect of Attention on Human Spatial Vision. - Laurent Itti; Jochen Braun; Christof Koch (NIPS, 2001)

Feature combination strategies for saliency-based visual attention systems. - Laurent Itti; Christof Koch (J. Electronic Imaging, 2001)

A New Robotics Platform for Neuromorphic Vision: Beobots. - Daesu Chung; Reid Hirata; T. Nathan Mundhenk; Jen Ng; Robert J. Peters; Eric Pichon; April Tsui; Tong Ventrice; Dirk B. Walther; Philip Williams; Laurent Itti (Biologically Motivated Computer Vision, 2002)

A Model of Contour Integration in Early Visual Cortex. - T. Nathan Mundhenk; Laurent Itti (Biologically Motivated Computer Vision, 2002)

A Goal Oriented Attention Guidance Model. - Vidhya Navalpakkam; Laurent Itti (Biologically Motivated Computer Vision, 2002)

Attentional Selection for Object Recognition - A Gentle Way. - Dirk B. Walther; Laurent Itti; Maximilian Riesenhuber; Tomaso A. Poggio; Christof Koch (Biologically Motivated Computer Vision, 2002)

Real-time high-performance attention focusing in outdoors color video streams. - Laurent Itti (Human Vision and Electronic Imaging, 2002)

Saliency-based multifoveated MPEG compression. - Nitin Dhavale; Laurent Itti (ISSPA (1), 2003)

CINNIC, a new computational algorithm for the modeling of early visual contour integration in humans. - T. Nathan Mundhenk; Laurent Itti (Neurocomputing, 2003)

Biologically-Inspired Face Detection: Non-Brute-Force-Search Approach. - Christian Siagian; Laurent Itti (CVPR Workshops, 2004)

Automatic attention-based prioritization of unconstrained video for compression. - Laurent Itti (Human Vision and Electronic Imaging, 2004)

Biologically inspired feature-based categorization of objects. - T. Nathan Mundhenk; Vidhya Navalpakkam; Hendrik Makaliwe; Shrihari Vasudevan; Laurent Itti (Human Vision and Electronic Imaging, 2004)

Automatic foveation for video compression using a neurobiological model of visual attention. - Laurent Itti (IEEE Trans. Image Process., 2004)

Combining attention and recognition for rapid scene analysis. - James Bonaiuto; Laurent Itti (CVPR Workshops, 2005)

A Principled Approach to Detecting Surprising Events in Video. - Laurent Itti; Pierre Baldi (CVPR (1), 2005)

Gist: A Mobile Robotics Application of Context-Based Vision in Outdoor Environment. - Christian Siagian; Laurent Itti (CVPR Workshops, 2005)

Bayesian Surprise Attracts Human Attention. - Laurent Itti; Pierre Baldi (NIPS, 2005)

Optimal cue selection strategy. - Vidhya Navalpakkam; Laurent Itti (NIPS, 2005)

Computational modeling and exploration of contour integration for visual saliency. - T. Nathan Mundhenk; Laurent Itti (Biol. Cybern., 2005)

Robot steering with spectral image information. - Christopher Ackerman; Laurent Itti (IEEE Trans. Robotics, 2005)

An Integrated Model of Top-Down and Bottom-Up Attention for Optimizing Detection Speed. - Vidhya Navalpakkam; Laurent Itti (CVPR (2), 2006)

Causal saliency effects during natural vision. - Ran Carmi; Laurent Itti (ETRA, 2006)

Computational mechanisms for gaze direction in interactive visual environments. - Robert J. Peters; Laurent Itti (ETRA, 2006)

Combining bottom-up and top-down attentional influences. - Vidhya Navalpakkam; Laurent Itti (Human Vision and Electronic Imaging, 2006)

Photorealistic Attention-Based Gaze Animation. - Laurent Itti; Nitin Dhavale; Frédéric H. Pighin (ICME, 2006)

The use of attention and spatial information for rapid facial recognition in video. - James Bonaiuto; Laurent Itti (Image Vis. Comput., 2006)

Beyond bottom-up: Incorporating task-dependent influences into a computational model of spatial attention. - Robert J. Peters; Laurent Itti (CVPR, 2007)

Biologically-inspired robotics vision monte-carlo localization in the outdoor environment. - Christian Siagian; Laurent Itti (IROS, 2007)

Congruence between model and human attention reveals unique signatures of critical visual events. - Robert J. Peters; Laurent Itti (NIPS, 2007)

Rapid Biologically-Inspired Scene Classification Using Features Shared with Visual Attention. - Christian Siagian; Laurent Itti (IEEE Trans. Pattern Anal. Mach. Intell., 2007)

Visual salience. - Laurent Itti (Scholarpedia, 2007)

Storing and recalling information for vision localization. - Christian Siagian; Laurent Itti (ICRA, 2008)

Applying computational tools to predict gaze direction in interactive visual environments. - Robert J. Peters; Laurent Itti (ACM Trans. Appl. Percept., 2008)

Centralized server environment for educational robotics. - Randolph Voorhies; Christian Siagian; Lior Elazary; Laurent Itti (IROS, 2009)

Biologically Inspired Mobile Robot Vision Localization. - Christian Siagian; Laurent Itti (IEEE Trans. Robotics, 2009)

Mobile robot vision navigation & localization using Gist and Saliency. - Chin-Kai Chang; Christian Siagian; Laurent Itti (IROS, 2010)

Of bits and wows: A Bayesian theory of surprise with applications to attention. - Pierre Baldi; Laurent Itti (Neural Networks, 2010)

Computational Modeling of Top-down Visual Attention in Interactive Environments. - Ali Borji; Dicky N. Sihite; Laurent Itti (BMVC, 2011)

Modeling forward and backward serial recall using a spatial registry assumption. - Nader Noori; Laurent Itti (CogSci, 2011)

Spatial Registry Model : Towards a Grounded Account for Executive Attention. - Nader Noori; Laurent Itti (CogSci, 2011)

Scene classification with a sparse set of salient regions. - Ali Borji; Laurent Itti (ICRA, 2011)

Multilayer real-time video image stabilization. - Jens Windau; Laurent Itti (IROS, 2011)

Visual attention guided bit allocation in video compression. - Zhicheng Li 001; Shiyin Qin; Laurent Itti (Image Vis. Comput., 2011)

Beobot 2.0: Cluster architecture for mobile robotics. - Christian Siagian; Chin-Kai Chang; Randolph Voorhies; Laurent Itti (J. Field Robotics, 2011)

Saliency and Gist Features for Target Detection in Satellite Images. - Zhicheng Li 001; Laurent Itti (IEEE Trans. Image Process., 2011)

An Object-Based Bayesian Framework for Top-Down Visual Attention. - Ali Borji; Dicky N. Sihite; Laurent Itti (AAAI, 2012)

Neuromorphic Bayesian Surprise for Far-Range Event Detection. - Randolph Voorhies; Lior Elazary; Laurent Itti (AVSS, 2012)

Adaptive object tracking by learning background context. - Ali Borji; Simone Frintrop; Dicky N. Sihite; Laurent Itti (CVPR Workshops, 2012)

Exploiting local and global patch rarities for saliency detection. - Ali Borji; Laurent Itti (CVPR, 2012)

Probabilistic learning of task-specific visual attention. - Ali Borji; Dicky N. Sihite; Laurent Itti (CVPR, 2012)

Salient Object Detection: A Benchmark. - Ali Borji; Dicky N. Sihite; Laurent Itti (ECCV (2), 2012)

A portable system for recording neural activity in indoor and outdoor environments. - Farhan Baluch; Laurent Itti (EMBC, 2012)

Saliency mapping enhanced by symmetry from local phase. - W. Shane Grant; Laurent Itti (ICIP, 2012)

Modeling the influence of action on spatial attention in visual interactive environments. - Ali Borji; Dicky N. Sihite; Laurent Itti (ICRA, 2012)

Mobile robot monocular vision navigation based on road region and boundary estimation. - Chin-Kai Chang; Christian Siagian; Laurent Itti (IROS, 2012)

Schema-Driven, Space-Supported Random Accessible Memory Systems for Manipulation of Symbolic Working Memory. - Nader Noori; Laurent Itti (CogSci, 2013)

Where What You Count is What Really Counts. - Nader Noori; Laurent Itti (CogSci, 2013)

Traces of Intellectual Working Memory Tasks on Visuospatial Short-Term Memory. - Nader Noori; Laurent Itti (CogSci, 2013)

Analysis of Scores, Datasets, and Models in Visual Saliency Prediction. - Ali Borji; Hamed Rezazadegan Tavakoli; Dicky N. Sihite; Laurent Itti (ICCV, 2013)

Attention biased speeded up robust featureS (AB-SURF): A neurally-inspired object recognition algorithm for a wearable aid for the visually-impaired. - Kaveri A. Thakoor; Sophie Marat; Patrick J. Nasiatka; Ben P. McIntosh; Furkan E. Sahin; Armand R. Tanguay; James D. Weiland; Laurent Itti (ICME Workshops, 2013)

Mobile robot navigation system in outdoor pedestrian environment using vision-based road recognition. - Christian Siagian; Chin-Kai Chang; Laurent Itti (ICRA, 2013)

Deep Learning on Natural Viewing Behaviors to Differentiate Children with Fetal Alcohol Spectrum Disorder. - Po-He Tseng; Angelina Paolozza; Douglas P. Munoz; James N. Reynolds; Laurent Itti (IDEAL, 2013)

Beobot 2.0: Autonomous mobile robot localization and navigation in outdoor pedestrian environment. - Chin-Kai Chang; Christian Siagian; Laurent Itti (IROS, 2013)

Finding planes in LiDAR point clouds for real-time registration. - W. Shane Grant; Randolph Voorhies; Laurent Itti (IROS, 2013)

Situation awareness via sensor-equipped eyeglasses. - Jens Windau; Laurent Itti (IROS, 2013)

Bayesian optimization explains human active search. - Ali Borji; Laurent Itti (NIPS, 2013)

6th International Symposium on Attention in Cognitive Systems 2013. - Lucas Paletta; Laurent Itti; Björn W. Schuller; Fang Fang (CoRR, 2013)

Competitive Integration of Visual and Goal-related Signals on Neuronal Accumulation Rate: A Correlate of Oculomotor Capture in the Superior Colliculus. - Brian J. White; Robert A. Marino; Susan E. Boehnke; Laurent Itti; Jan Theeuwes; Douglas P. Munoz (J. Cogn. Neurosci., 2013)

State-of-the-Art in Visual Attention Modeling. - Ali Borji; Laurent Itti (IEEE Trans. Pattern Anal. Mach. Intell., 2013)

Quantitative Analysis of Human-Model Agreement in Visual Saliency Modeling: A Comparative Study. - Ali Borji; Dicky N. Sihite; Laurent Itti (IEEE Trans. Image Process., 2013)

Human vs. Computer in Scene and Object Recognition. - Ali Borji; Laurent Itti (CVPR, 2014)

A System for Assisting the Visually Impaired in Localization and Grasp of Desired Objects. - Kaveri A. Thakoor; Nii Mante; Carey Zhang; Christian Siagian; James D. Weiland; Laurent Itti; Gérard G. Medioni (ECCV Workshops (3), 2014)

Integrating human context and occlusion reasoning to improve handheld object tracking. - Daniel F. Parks; Laurent Itti (ICIP, 2014)

Performance Evaluation of Neuromorphic-Vision Object Recognition Algorithms. - Rangachar Kasturi; Dmitry B. Goldgof; Ekambaram Rajmadhan; Gill A. Pratt; Eric Krotkov; Douglas Hackett; Yang Ran; Qinfen Zheng; Rajeev Sharma; Mark Anderson; Mark Peot; Mario Aguilar; et al. (ICPR, 2014)

Attention-aware rendering, mobile graphics and games. - Ann McNamara; Katerina Mania; George Alex Koulieris; Laurent Itti (SIGGRAPH Courses, 2014)

Optimal attentional modulation of a neural population. - Ali Borji; Laurent Itti (Frontiers Comput. Neurosci., 2014)

Autonomous Mobile Robot Localization and Navigation Using a Hierarchical Map Representation Primarily Guided by Vision. - Christian Siagian; Chin-Kai Chang; Laurent Itti (J. Field Robotics, 2014)

What/Where to Look Next? Modeling Top-Down Visual Attention in Complex Interactive Environments. - Ali Borji; Dicky N. Sihite; Laurent Itti (IEEE Trans. Syst. Man Cybern. Syst., 2014)

Mining Videos for Features that Drive Attention. - Farhan Baluch; Laurent Itti (Multimedia Data Mining and Analytics, 2015)

Fixation bank: Learning to reweight fixation candidates. - Jiaping Zhao; Christian Siagian; Laurent Itti (CVPR, 2015)

CAT2000: A Large Scale Fixation Dataset for Boosting Saliency Research. - Ali Borji; Laurent Itti (CoRR, 2015)

What can we learn about CNNs from a large scale controlled object dataset? - Ali Borji; Saeed Izadi; Laurent Itti (CoRR, 2015)

Computational models of attention. - Laurent Itti; Ali Borji (CoRR, 2015)

Computational models: Bottom-up and top-down aspects. - Laurent Itti; Ali Borji (CoRR, 2015)

BIK-BUS: Biologically Motivated 3D Keypoint Based on Bottom-Up Saliency. - Sílvio Filipe; Laurent Itti; Luís A. Alexandre (IEEE Trans. Image Process., 2015)

iLab-20M: A Large-Scale Controlled Object Dataset to Investigate Deep Learning. - Ali Borji; Saeed Izadi; Laurent Itti (CVPR, 2016)

Perfect Accuracy with Human-in-the-Loop Object Detection. - Rorry Brenner; Jay Priyadarshi; Laurent Itti (ECCV Workshops (2), 2016)

Walking compass with head-mounted IMU sensor. - Jens Windau; Laurent Itti (ICRA, 2016)

Detecting "Smart" Spammers on Social Network: A Topic Model Approach. - Linqing Liu; Yao Lu; Ye Luo; Renxian Zhang; Laurent Itti; Jianwei Lu (SRW@HLT-NAACL, 2016)

Decomposing time series with application to temporal segmentation. - Jiaping Zhao; Laurent Itti (WACV, 2016)

Active Long Term Memory Networks. - Tommaso Furlanello; Jiaping Zhao; Andrew M. Saxe; Laurent Itti; Bosco S. Tjan (CoRR, 2016)

metricDTW: local distance metric learning in Dynamic Time Warping. - Jiaping Zhao; Zerong Xi; Laurent Itti (CoRR, 2016)

Learning a Combined Model of Visual Saliency for Fixation Prediction. - Jingwei Wang; Ali Borji; C.-C. Jay Kuo; Laurent Itti (IEEE Trans. Image Process., 2016)

Classifying Time Series Using Local Descriptors with Hybrid Sampling. - Jiaping Zhao; Laurent Itti (IEEE Trans. Knowl. Data Eng., 2016)

Saliency prediction based on new deep multi-layer convolution neural network. - Dandan Zhu; Ye Luo; Xuan Shao; Laurent Itti; Jianwei Lu (ICIP, 2017)

Scanpath Prediction Based on High-Level Features and Memory Bias. - Xuan Shao; Ye Luo; Dandan Zhu; Shuqin Li; Laurent Itti; Jianwei Lu (ICONIP (3), 2017)

Deep Salient Object Detection via Hierarchical Network Learning. - Dandan Zhu; Ye Luo; Lei Dai; Xuan Shao; Laurent Itti; Jianwei Lu (ICONIP (3), 2017)

Learning to Recognize Objects by Retaining Other Factors of Variation. - Jiaping Zhao; Chin-Kai Chang; Laurent Itti (WACV, 2017)

Improved Deep Learning of Object Category Using Pose Information. - Jiaping Zhao; Laurent Itti (WACV, 2017)

Third Eye: A Shopping Assistant for the Visually Impaired. - Peter A. Zientara; Sooyeon Lee; Gus Henry Smith; Rorry Brenner; Laurent Itti; Mary Beth Rosson; John M. Carroll 001; Kevin M. Irick; Vijaykrishnan Narayanan (Computer, 2017)

Image salient object detection with refined deep features via convolution neural network. - Dandan Zhu; Lei Dai; Xuan Shao; Qiangqiang Zhou; Laurent Itti; Ye Luo; Jianwei Lu (J. Electronic Imaging, 2017)

Biologically plausible learning in neural networks with modulatory feedback. - W. Shane Grant; James Tanner; Laurent Itti (Neural Networks, 2017)

Born-Again Neural Networks. - Tommaso Furlanello; Zachary Chase Lipton; Michael Tschannen; Laurent Itti; Anima Anandkumar (ICML, 2018)

DeepVP: Deep Learning for Vanishing Point Detection on 1 Million Street View Images. - Chin-Kai Chang; Jiaping Zhao; Laurent Itti (ICRA, 2018)

Inertial Machine Monitoring System for Automated Failure Detection. - Jens Windau; Laurent Itti (ICRA, 2018)

Overcoming catastrophic forgetting problem by weight consolidation and long-term memory. - Shixian Wen; Laurent Itti (CoRR, 2018)

Closed-Loop GAN for continual Learning. - Amanda Rios; Laurent Itti (CoRR, 2018)

Salient object detection via a local and global method based on deep residual network. - Dandan Zhu; Ye Luo; Lei Dai; Xuan Shao; Qiangqiang Zhou; Laurent Itti; Jianwei Lu (J. Vis. Commun. Image Represent., 2018)

shapeDTW: Shape Dynamic Time Warping. - Jiaping Zhao; Laurent Itti (Pattern Recognit., 2018)

Multi-Scale Adversarial Feature Learning for Saliency Detection. - Dandan Zhu; Lei Dai; Ye Luo; Guokai Zhang; Xuan Shao; Laurent Itti; Jianwei Lu (Symmetry, 2018)

Closed-Loop Memory GAN for Continual Learning. - Amanda Rios; Laurent Itti (IJCAI, 2019)

Inertial-based Motion Capturing and Smart Training System. - Jens Windau; Laurent Itti (IROS, 2019)

Surprise! Predicting Infant Visual Attention in a Socially Assistive Robot Contingent Learning Paradigm. - Lauren Klein; Laurent Itti; Beth A. Smith; Marcelo R. Rosales; Stefanos Nikolaidis; Maja J. Mataric (RO-MAN, 2019)

Lessons from neuroscience. - Laurent Itti (WWW (Companion Volume), 2019)

Efficient Velodyne SLAM with point and plane features. - W. Shane Grant; Randolph C. Voorhies; Laurent Itti (Auton. Robots, 2019)

Learning Causal State Representations of Partially Observable Environments. - Amy Zhang 001; Zachary C. Lipton; Luis Pineda; Kamyar Azizzadenesheli; Anima Anandkumar; Laurent Itti; Joelle Pineau; Tommaso Furlanello (CoRR, 2019)

Beneficial perturbation network for continual learning. - Shixian Wen; Laurent Itti (CoRR, 2019)

Adversarial Training: embedding adversarial perturbations into the parameter space of a neural network to build a robust system. - Shixian Wen; Laurent Itti (CoRR, 2019)

Meta Adaptation using Importance Weighted Demonstrations. - Kiran Lekkala; Sami Abu-El-Haija; Laurent Itti (CoRR, 2019)

Learning Invariant Features in Modulatory Networks through Conflict and Ambiguity. - W. Shane Grant; Laurent Itti (Neural Comput., 2019)

Vision-Based Autonomous Path Following Using a Human Driver Control Model With Reliable Input-Feature Value Estimation. - Kazuhide Okamoto; Laurent Itti; Panagiotis Tsiotras (IEEE Trans. Intell. Veh., 2019)

Pose Augmentation: Class-Agnostic Object Pose Transformation for Object Recognition. - Yunhao Ge; Jiaping Zhao; Laurent Itti (ECCV (28), 2020)

Lifelong Learning Without a Task Oracle. - Amanda Rios; Laurent Itti (ICTAI, 2020)

Attentive Feature Reuse for Multi Task Meta learning. - Kiran Lekkala; Laurent Itti (CoRR, 2020)

Beneficial Perturbations Network for Defending Adversarial Examples. - Shixian Wen; Laurent Itti (CoRR, 2020)

Unsupervised Hierarchical Concept Learning. - Sumegh Roychowdhury; Sumedh A. Sontakke; Nikaash Puri; Mausoom Sarkar; Milan Aggarwal; Pinkesh Badjatiya; Balaji Krishnamurthy; Laurent Itti (CoRR, 2020)

Learning visual variation for object recognition. - Jatuporn Toy Leksut; Jiaping Zhao; Laurent Itti (Image Vis. Comput., 2020)

A Peek Into the Reasoning of Neural Networks: Interpreting With Structural Visual Concepts. - Yunhao Ge; Yao Xiao; Zhi Xu; Meng Zheng 002; Srikrishna Karanam; Terrence Chen; Laurent Itti; Ziyan Wu 001 (CVPR, 2021)

Multi-Task Occlusion Learning for Real-Time Visual Object Tracking. - Gozde Sahin; Laurent Itti (ICIP, 2021)

Zero-shot Synthesis with Group-Supervised Learning. - Yunhao Ge; Sami Abu-El-Haija; Gan Xin; Laurent Itti (ICLR, 2021)

Causal Curiosity: RL Agents Discovering Self-supervised Experiments for Causal Representation Learning. - Sumedh A. Sontakke; Arash Mehrjou; Laurent Itti; Bernhard Schölkopf (ICML, 2021)

Shaped Policy Search for Evolutionary Strategies using Waypoints*. - Kiran Lekkala; Laurent Itti (ICRA, 2021)

Shaped Policy Search for Evolutionary Strategies using Waypoints. - Kiran Lekkala; Laurent Itti (CoRR, 2021)

Video2Skill: Adapting Events in Demonstration Videos to Skills in an Environment using Cyclic MDP Homomorphisms. - Sumedh A. Sontakke; Sumegh Roychowdhury; Mausoom Sarkar; Nikaash Puri; Balaji Krishnamurthy; Laurent Itti (CoRR, 2021)

GalilAI: Out-of-Task Distribution Detection using Causal Active Experimentation for Safe Transfer RL. - Sumedh A. Sontakke; Stephen Iota; Zizhao Hu; Arash Mehrjou; Laurent Itti; Bernhard Schölkopf (AISTATS, 2022)

Neural-Sim: Learning to Generate Training Data with NeRF. - Yunhao Ge; Harkirat S. Behl; Jiashu Xu; Suriya Gunasekar; Neel Joshi; Yale Song; Xin Wang 066; Laurent Itti; Vibhav Vineet (ECCV (23), 2022)

Contributions of Shape, Texture, and Color in Visual Recognition. - Yunhao Ge; Yao Xiao; Zhi Xu; Xingrui Wang; Laurent Itti (ECCV (12), 2022)

incDFM: Incremental Deep Feature Modeling for Continual Novelty Detection. - Amanda Rios; Nilesh A. Ahuja; Ibrahima J. Ndiour; Ergin Utku Genc; Laurent Itti; Omesh Tickoo (ECCV (25), 2022)

SHERLock: Self-Supervised Hierarchical Event Representation Learning. - S. Roychowdhury; Sumedh A. Sontakke; Laurent Itti; M. Sarkar; Milan Aggarwal; Pinkesh Badjatiya; Nikaash Puri; Balaji Krishnamurthy (ICPR, 2022)

What can we learn from misclassified ImageNet images? - Shixian Wen; Amanda Sofie Rios; Kiran Lekkala; Laurent Itti (CoRR, 2022)

Model2Detector: Widening the Information Bottleneck for Out-of-Distribution Detection using a Handful of Gradient Steps. - Sumedh A. Sontakke; Buvaneswari Ramanan; Laurent Itti; Thomas Woo (CoRR, 2022)

DALL-E for Detection: Language-driven Context Image Synthesis for Object Detection. - Yunhao Ge; Jiashu Xu; Brian Nlong Zhao; Laurent Itti; Vibhav Vineet (CoRR, 2022)

Supervised Contrastive Prototype Learning: Augmentation Free Robust Neural Network. - Iordanis Fostiropoulos; Laurent Itti (CoRR, 2022)

Ferroelectric FET based Context-Switching FPGA Enabling Dynamic Reconfiguration for Adaptive Deep Learning Machines. - Yixin Xu 001; Zijian Zhao 001; Yi Xiao 008; Tongguang Yu; Halid Mulaosmanovic; Dominik Kleimaier; Stefan Dünkel; Sven Beyer; Xiao Gong; Rajiv V. Joshi; X. Sharon Hu; Shixian Wen; et al. (CoRR, 2022)

EM-Paste: EM-guided Cut-Paste with DALL-E Augmentation for Image-level Weakly Supervised Instance Segmentation. - Yunhao Ge; Jiashu Xu; Brian Nlong Zhao; Laurent Itti; Vibhav Vineet (CoRR, 2022)

Beneficial Perturbation Network for Designing General Adaptive Artificial Intelligence Systems. - Shixian Wen; Amanda Rios; Yunhao Ge; Laurent Itti (IEEE Trans. Neural Networks Learn. Syst., 2022)

ABLATOR: Robust Horizontal-Scaling of Machine Learning Ablation Experiments. - Iordanis Fostiropoulos; Laurent Itti (AutoML, 2023)

Reproducibility Requires Consolidated Artifacts. - Iordanis Fostiropoulos; Bowman Brown; Laurent Itti (CAIN, 2023)

Batch Model Consolidation: A Multi-Task Model Consolidation Framework. - Iordanis Fostiropoulos; Jiaye Zhu; Laurent Itti (CVPR, 2023)

Improving Zero-shot Generalization and Robustness of Multi-Modal Models. - Yunhao Ge; Jie Ren 006; Andrew Gallagher; Yuxiao Wang 001; Ming-Hsuan Yang 001; Hartwig Adam; Laurent Itti; Balaji Lakshminarayanan; Jiaping Zhao (CVPR, 2023)

CLR: Channel-wise Lightweight Reprogramming for Continual Learning. - Yunhao Ge; Yuecheng Li; Shuo Ni; Jiaping Zhao; Ming-Hsuan Yang 001; Laurent Itti (ICCV, 2023)

3D Copy-Paste: Physically Plausible Object Insertion for Monocular 3D Detection. - Yunhao Ge; Hong-Xing Yu; Cheng Zhao 002; Yuliang Guo; Xinyu Huang 001; Liu Ren; Laurent Itti; Jiajun Wu 001 (NeurIPS, 2023)

RoboCLIP: One Demonstration is Enough to Learn Robot Policies. - Sumedh Sontakke; Jesse Zhang; Sébastien M. R. Arnold; Karl Pertsch; Erdem Biyik; Dorsa Sadigh; Chelsea Finn; Laurent Itti (NeurIPS, 2023)

Encouraging Disentangled and Convex Representation with Controllable Interpolation Regularization. - Yunhao Ge; Zhi Xu; Yao Xiao; Gan Xin; Yunkui Pang; Laurent Itti (WACV, 2023)

HOOT: Heavy Occlusions in Object Tracking Benchmark. - Gozde Sahin; Laurent Itti (WACV, 2023)

Building One-class Detector for Anything: Open-vocabulary Zero-shot OOD Detection Using Text-image Models. - Yunhao Ge; Jie Ren 006; Jiaping Zhao; Kaifeng Chen; Andrew Gallagher; Laurent Itti; Balaji Lakshminarayanan (CoRR, 2023)

Beyond Generation: Harnessing Text to Image Models for Object Detection and Segmentation. - Yunhao Ge; Jiashu Xu; Brian Nlong Zhao; Neel Joshi; Laurent Itti; Vibhav Vineet (CoRR, 2023)

World Model Based Sim2Real Transfer for Visual Navigation. - Chen Liu; Kiran Lekkala; Laurent Itti (CoRR, 2023)

Value Explicit Pretraining for Goal-Based Transfer Learning. - Kiran Lekkala; Henghui Bao; Sumedh Sontakke; Laurent Itti (CoRR, 2023)

DreamDistribution: Prompt Distribution Learning for Text-to-Image Diffusion Models. - Brian Nlong Zhao; Yuhang Xiao; Jiashu Xu; Xinyang Jiang; Yifan Yang 004; Dongsheng Li 002; Laurent Itti; Vibhav Vineet; Yunhao Ge (CoRR, 2023)

USC-DCT: A Collection of Diverse Classification Tasks. - Adam M. Jones; Gozde Sahin; Zachary William Murdock; Yunhao Ge; Ao Xu; Yuecheng Li; Di Wu; Shuo Ni; Po-Hsuan Huang; Kiran Lekkala; Laurent Itti (Data, 2023)

Multi-scale pulmonary nodule classification with deep feature fusion via residual network. - Guokai Zhang; Dandan Zhu; Xiao Liu 030; Mingle Chen; Laurent Itti; Ye Luo; Jianwei Lu (J. Ambient Intell. Humaniz. Comput., 2023)

Invariant Structure Learning for Better Generalization and Causal Explainability. - Yunhao Ge; Sercan Ö. Arik; Jinsung Yoon; Ao Xu; Laurent Itti; Tomas Pfister (Trans. Mach. Learn. Res., 2023)

Lightweight Learner for Shared Knowledge Lifelong Learning. - Yunhao Ge; Yuecheng Li; Di Wu; Ao Xu; Adam M. Jones; Amanda Sofie Rios; Iordanis Fostiropoulos; Shixian Wen; Po-Hsuan Huang; Zachary William Murdock; Gozde Sahin; Shuo Ni; et al. (Trans. Mach. Learn. Res., 2023)

BEHAVIOR Vision Suite: Customizable Dataset Generation via Simulation. - Yunhao Ge; Yihe Tang; Jiashu Xu; Cem Gokmen; Chengshu Li 001; Wensi Ai; Benjamin Jose Martinez; Arman Aydin; Mona Anvari; Ayush K. Chakravarthy; Hong-Xing Yu; Josiah Wong; et al. (CVPR, 2024)

Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration. - Abby O'Neill; Abdul Rehman; Abhiram Maddukuri; Abhishek Gupta 004; Abhishek Padalkar; Abraham Lee; Acorn Pooley; Agrim Gupta; Ajay Mandlekar; Ajinkya Jain; Albert Tung; Alex Bewley; et al. (ICRA, 2024)

USCILab3D: A Large-scale, Long-term, Semantically Annotated Outdoor Dataset. - Kiran Lekkala; Henghui Bao; Peixu Cai; Wei Lim; Chen Liu; Laurent Itti (NeurIPS, 2024)

Evaluating Pretrained Models for Deployable Lifelong Learning. - Kiran Lekkala; Eshan Bhargava; Laurent Itti (WACV (Workshops), 2024)

Expert-level sleep staging using an electrocardiography-only feed-forward neural network. - Adam M. Jones; Laurent Itti; Bhavin R. Sheth (Comput. Biol. Medicine, 2024)

BEHAVIOR Vision Suite: Customizable Dataset Generation via Simulation. - Yunhao Ge; Yihe Tang; Jiashu Xu; Cem Gokmen; Chengshu Li 002; Wensi Ai; Benjamin Jose Martinez; Arman Aydin; Mona Anvari; Ayush K. Chakravarthy; Hong-Xing Yu; Josiah Wong; et al. (CoRR, 2024)

A collective AI via lifelong learning and sharing at the edge. - Andrea Soltoggio; Eseoghene Ben-Iwhiwhu; Vladimir Braverman; Eric Eaton; Benjamin Epstein; Yunhao Ge; Lucy Halperin; Jonathan P. How; Laurent Itti; Michael A. Jacobs; Pavan Kantharaju; Long Le; et al. (Nat. Mac. Intell., 2024)

DreamDistribution: Learning Prompt Distribution for Diverse In-distribution Generation. - Brian Nlong Zhao; Yuhang Xiao; Jiashu Xu; Xinyang Jiang; Yifan Yang 004; Dongsheng Li 002; Laurent Itti; Vibhav Vineet; Yunhao Ge (ICLR, 2025)

Perforated Backpropagation: A Neuroscience Inspired Extension to Artificial Neural Networks. - Rorry Brenner; Laurent Itti (CoRR, 2025)

Exploring the Performance of Perforated Backpropagation through Further Experiments. - Rorry Brenner; Evan Davis; Rushi Chaudhari; Rowan Morse; Jingyao Chen; Xirui Liu; Zhaoyi You; Laurent Itti (CoRR, 2025)

Riemannian-Geometric Fingerprints of Generative Models. - Hae Jin Song; Laurent Itti (CoRR, 2025)