Itti, Laurent

61 publications

ICLR 2025 DreamDistribution: Learning Prompt Distribution for Diverse In-Distribution Generation Brian Nlong Zhao, Yuhang Xiao, Jiashu Xu, Xinyang Jiang, Yifan Yang, Dongsheng Li, Laurent Itti, Vibhav Vineet, Yunhao Ge
ICCV 2025 Riemannian-Geometric Fingerprints of Generative Models Hae Jin Song, Laurent Itti
CVPR 2024 BEHAVIOR Vision Suite: Customizable Dataset Generation via Simulation Yunhao Ge, Yihe Tang, Jiashu Xu, Cem Gokmen, Chengshu Li, Wensi Ai, Benjamin Jose Martinez, Arman Aydin, Mona Anvari, Ayush K Chakravarthy, Hong-Xing Yu, Josiah Wong, Sanjana Srivastava, Sharon Lee, Shengxin Zha, Laurent Itti, Yunzhu Li, Roberto Martín-Martín, Miao Liu, Pengchuan Zhang, Ruohan Zhang, Li Fei-Fei, Jiajun Wu
NeurIPS 2024 USCILab3D: A Large-Scale, Long-Term, Semantically Annotated Outdoor Dataset Kiran Lekkala, Henghui Bao, Peixu Cai, Wei Zer Lim, Chen Liu, Laurent Itti
ICMLW 2024 USCILab3D: A Large-Scale, Long-Term, Semantically Annotated Outdoor Dataset Kiran Lekkala, Henghui Bao, Peixu Cai, Wei Zer Lim, Chen Liu, Laurent Itti
NeurIPS 2023 3D Copy-Paste: Physically Plausible Object Insertion for Monocular 3D Detection Yunhao Ge, Hong-Xing Yu, Cheng Zhao, Yuliang Guo, Xinyu Huang, Liu Ren, Laurent Itti, Jiajun Wu
AutoML 2023 ABLATOR: Robust Horizontal-Scaling of Machine Learning Ablation Experiments Iordanis Fostiropoulos, Laurent Itti
CVPR 2023 Batch Model Consolidation: A Multi-Task Model Consolidation Framework Iordanis Fostiropoulos, Jiaye Zhu, Laurent Itti
ICCV 2023 CLR: Channel-Wise Lightweight Reprogramming for Continual Learning Yunhao Ge, Yuecheng Li, Shuo Ni, Jiaping Zhao, Ming-Hsuan Yang, Laurent Itti
WACV 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
CVPR 2023 Improving Zero-Shot Generalization and Robustness of Multi-Modal Models Yunhao Ge, Jie Ren, Andrew Gallagher, Yuxiao Wang, Ming-Hsuan Yang, Hartwig Adam, Laurent Itti, Balaji Lakshminarayanan, Jiaping Zhao
TMLR 2023 Invariant Structure Learning for Better Generalization and Causal Explainability Yunhao Ge, Sercan O Arik, Jinsung Yoon, Ao Xu, Laurent Itti, Tomas Pfister
TMLR 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, Kiran Lekkala, Sumedh Anand Sontakke, Laurent Itti
ICMLW 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, Kiran Lekkala, Sumedh Anand Sontakke, Laurent Itti
NeurIPS 2023 RoboCLIP: One Demonstration Is Enough to Learn Robot Policies Sumedh Sontakke, Jesse Zhang, Séb Arnold, Karl Pertsch, Erdem Bıyık, Dorsa Sadigh, Chelsea Finn, Laurent Itti
ICLRW 2023 Trustworthy Model Evaluation on a Budget Iordanis Fostiropoulos, Bowman Noah Brown, Laurent Itti
AISTATS 2022 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
ECCV 2022 Contributions of Shape, Texture, and Color in Visual Recognition Yunhao Ge, Yao Xiao, Zhi Xu, Xingrui Wang, Laurent Itti
NeurIPSW 2022 Improving Zero-Shot Generalization and Robustness of Multi-Modal Models Yunhao Ge, Jie Ren, Ming-Hsuan Yang, Yuxiao Wang, Andrew Gallagher, Hartwig Adam, Laurent Itti, Balaji Lakshminarayanan, Jiaping Zhao
ECCV 2022 Neural-Sim: Learning to Generate Training Data with NeRF Yunhao Ge, Harkirat Behl, Jiashu Xu, Suriya Gunasekar, Neel Joshi, Yale Song, Xin Wang, Laurent Itti, Vibhav Vineet
ECCV 2022 incDFM: Incremental Deep Feature Modeling for Continual Novelty Detection Amanda Rios, Nilesh Ahuja, Ibrahima Ndiour, Utku Genc, Laurent Itti, Omesh Tickoo
CVPR 2021 A Peek into the Reasoning of Neural Networks: Interpreting with Structural Visual Concepts Yunhao Ge, Yao Xiao, Zhi Xu, Meng Zheng, Srikrishna Karanam, Terrence Chen, Laurent Itti, Ziyan Wu
ICML 2021 Causal Curiosity: RL Agents Discovering Self-Supervised Experiments for Causal Representation Learning Sumedh A Sontakke, Arash Mehrjou, Laurent Itti, Bernhard Schölkopf
ICLRW 2021 Graph Autoencoder for Graph Compression and Representation Learning Yunhao Ge, Yunkui Pang, Linwei Li, Laurent Itti
ICLR 2021 Zero-Shot Synthesis with Group-Supervised Learning Yunhao Ge, Sami Abu-El-Haija, Gan Xin, Laurent Itti
ECCV 2020 Pose Augmentation: Class-Agnostic Object Pose Transformation for Object Recognition Yunhao Ge, Jiaping Zhao, Laurent Itti
IJCAI 2019 Closed-Loop Memory GAN for Continual Learning Amanda Rios, Laurent Itti
ICML 2018 Born Again Neural Networks Tommaso Furlanello, Zachary Lipton, Michael Tschannen, Laurent Itti, Anima Anandkumar
WACV 2017 Improved Deep Learning of Object Category Using Pose Information Jiaping Zhao, Laurent Itti
WACV 2017 Learning to Recognize Objects by Retaining Other Factors of Variation Jiaping Zhao, Chin-Kai Chang, Laurent Itti
WACV 2016 Decomposing Time Series with Application to Temporal Segmentation Jiaping Zhao, Laurent Itti
ECCV 2016 Perfect Accuracy with Human-in-the-Loop Object Detection Rorry Brenner, Jay Priyadarshi, Laurent Itti
ECCVW 2016 Perfect Accuracy with Human-in-the-Loop Object Detection Rorry Brenner, Jay Priyadarshi, Laurent Itti
CVPR 2016 iLab-20m: A Large-Scale Controlled Object Dataset to Investigate Deep Learning Ali Borji, Saeed Izadi, Laurent Itti
CVPR 2015 Fixation Bank: Learning to Reweight Fixation Candidates Jiaping Zhao, Christian Siagian, Laurent Itti
ECCV 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
ECCVW 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
CVPR 2014 Human vs. Computer in Scene and Object Recognition Ali Borji, Laurent Itti
ICCV 2013 Analysis of Scores, Datasets, and Models in Visual Saliency Prediction Ali Borji, Hamed R. Tavakoli, Dicky N. Sihite, Laurent Itti
NeurIPS 2013 Bayesian Optimization Explains Human Active Search Ali Borji, Laurent Itti
CVPRW 2012 Adaptive Object Tracking by Learning Background Context Ali Borji, Simone Frintrop, Dicky N. Sihite, Laurent Itti
AAAI 2012 An Object-Based Bayesian Framework for Top-Down Visual Attention Ali Borji, Dicky N. Sihite, Laurent Itti
CVPR 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
ECCV 2012 Salient Object Detection: A Benchmark Ali Borji, Dicky N. Sihite, Laurent Itti
CVPR 2007 Beyond Bottom-up: Incorporating Task-Dependent Influences into a Computational Model of Spatial Attention Robert J. Peters, Laurent Itti
NeurIPS 2007 Congruence Between Model and Human Attention Reveals Unique Signatures of Critical Visual Events Robert Peters, Laurent Itti
CVPR 2006 An Integrated Model of Top-Down and Bottom-up Attention for Optimizing Detection Speed Vidhya Navalpakkam, Laurent Itti
CVPR 2005 A Principled Approach to Detecting Surprising Events in Video Laurent Itti, Pierre Baldi
NeurIPS 2005 Bayesian Surprise Attracts Human Attention Laurent Itti, Pierre F. Baldi
CVPR 2005 Combining Attention and Recognition for Rapid Scene Analysis James Bonaiuto, Laurent Itti
CVPRW 2005 Combining Attention and Recognition for Rapid Scene Analysis James Bonaiuto, Laurent Itti
CVPR 2005 Gist: A Mobile Robotics Application of Context-Based Vision in Outdoor Environment Christian Siagian, Laurent Itti
CVPRW 2005 Gist: A Mobile Robotics Application of Context-Based Vision in Outdoor Environment Christian Siagian, Laurent Itti
NeurIPS 2005 Optimal Cue Selection Strategy Vidhya Navalpakkam, Laurent Itti
CVPR 2004 Biologically-Inspired Face Detection: Non-Brute-Force-Search Approach Christian Siagian, Laurent Itti
CVPRW 2004 Biologically-Inspired Face Detection: Non-Brute-Force-Search Approach Christian Siagian, Laurent Itti
NeurIPS 2001 Modeling the Modulatory Effect of Attention on Human Spatial Vision Laurent Itti, Jochen Braun, Christof Koch
NeurIPS 1998 Attentional Modulation of Human Pattern Discrimination Psychophysics Reproduced by a Quantitative Model Laurent Itti, Jochen Braun, Dale K. Lee, Christof Koch
NeurIPS 1997 A Model of Early Visual Processing Laurent Itti, Jochen Braun, Dale K. Lee, Christof Koch