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ORCIDLaurent Itti
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- affiliation: University of Southern California, Los Angeles, USA
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2020 – today
- 2024
[j42]Adam M. Jones
, Laurent Itti, Bhavin R. Sheth:
Expert-level sleep staging using an electrocardiography-only feed-forward neural network. Comput. Biol. Medicine 176: 108545 (2024)- [j41]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, Steven Lee, Xinran Liu, Sildomar T. Monteiro, David Musliner, Saptarshi Nath, Priyadarshini Panda, Christos Peridis, Hamed Pirsiavash, Vishwa S. Parekh, Kaushik Roy, Shahaf S. Shperberg, Hava T. Siegelmann, Peter Stone, Kyle Vedder, Jingfeng Wu, Lin Yang, Guangyao Zheng, Soheil Kolouri:
A collective AI via lifelong learning and sharing at the edge. Nat. Mac. Intell. 6(3): 251-264 (2024) - [c102]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:
BEHAVIOR Vision Suite: Customizable Dataset Generation via Simulation. CVPR 2024: 22401-22412 - [c101]Abby O'Neill, Abdul Rehman, Abhiram Maddukuri, Abhishek Gupta, Abhishek Padalkar, Abraham Lee, Acorn Pooley, Agrim Gupta, Ajay Mandlekar, Ajinkya Jain, Albert Tung, Alex Bewley, Alexander Herzog, Alex Irpan, Alexander Khazatsky, Anant Rai, Anchit Gupta, Andrew Wang, Anikait Singh, Animesh Garg, Aniruddha Kembhavi, Annie Xie, Anthony Brohan, Antonin Raffin, Archit Sharma, Arefeh Yavary, Arhan Jain, Ashwin Balakrishna, Ayzaan Wahid, Ben Burgess-Limerick, Beomjoon Kim, Bernhard Schölkopf, Blake Wulfe, Brian Ichter, Cewu Lu, Charles Xu, Charlotte Le, Chelsea Finn, Chen Wang, Chenfeng Xu, Cheng Chi, Chenguang Huang, Christine Chan, Christopher Agia, Chuer Pan, Chuyuan Fu, Coline Devin, Danfei Xu, Daniel Morton, Danny Driess, Daphne Chen, Deepak Pathak, Dhruv Shah, Dieter Büchler, Dinesh Jayaraman, Dmitry Kalashnikov, Dorsa Sadigh, Edward Johns, Ethan Paul Foster, Fangchen Liu, Federico Ceola, Fei Xia, Feiyu Zhao, Freek Stulp, Gaoyue Zhou, Gaurav S. Sukhatme, Gautam Salhotra, Ge Yan, Gilbert Feng, Giulio Schiavi, Glen Berseth, Gregory Kahn, Guanzhi Wang, Hao Su, Haoshu Fang, Haochen Shi, Henghui Bao, Heni Ben Amor, Henrik I. Christensen, Hiroki Furuta, Homer Walke, Hongjie Fang, Huy Ha, Igor Mordatch, Ilija Radosavovic, Isabel Leal, Jacky Liang, Jad Abou-Chakra, Jaehyung Kim, Jaimyn Drake, Jan Peters, Jan Schneider, Jasmine Hsu, Jeannette Bohg, Jeffrey Bingham, Jeffrey Wu, Jensen Gao, Jiaheng Hu, Jiajun Wu, Jialin Wu, Jiankai Sun, Jianlan Luo, Jiayuan Gu, Jie Tan, Jihoon Oh, Jimmy Wu, Jingpei Lu, Jingyun Yang, Jitendra Malik, João Silvério, Joey Hejna, Jonathan Booher, Jonathan Tompson, Jonathan Yang, Jordi Salvador, Joseph J. Lim, Junhyek Han, Kaiyuan Wang, Kanishka Rao, Karl Pertsch, Karol Hausman, Keegan Go, Keerthana Gopalakrishnan, Ken Goldberg, Kendra Byrne, Kenneth Oslund, Kento Kawaharazuka, Kevin Black, Kevin Lin, Kevin Zhang, Kiana Ehsani, Kiran Lekkala, Kirsty Ellis, Krishan Rana, Krishnan Srinivasan, Kuan Fang, Kunal Pratap Singh, Kuo-Hao Zeng, Kyle Hatch, Kyle Hsu, Laurent Itti, Lawrence Yunliang Chen, Lerrel Pinto, Li Fei-Fei, Liam Tan, Linxi Jim Fan, Lionel Ott, Lisa Lee, Luca Weihs, Magnum Chen, Marion Lepert, Marius Memmel, Masayoshi Tomizuka, Masha Itkina, Mateo Guaman Castro, Max Spero, Maximilian Du, Michael Ahn, Michael C. Yip, Mingtong Zhang, Mingyu Ding, Minho Heo, Mohan Kumar Srirama, Mohit Sharma, Moo Jin Kim, Naoaki Kanazawa, Nicklas Hansen, Nicolas Heess, Nikhil J. Joshi, Niko Sünderhauf, Ning Liu, Norman Di Palo, Nur Muhammad (Mahi) Shafiullah, Oier Mees, Oliver Kroemer, Osbert Bastani, Pannag R. Sanketi, Patrick Tree Miller, Patrick Yin, Paul Wohlhart, Peng Xu, Peter David Fagan, Peter Mitrano, Pierre Sermanet, Pieter Abbeel, Priya Sundaresan, Qiuyu Chen, Quan Vuong, Rafael Rafailov, Ran Tian, Ria Doshi, Roberto Martín-Martín, Rohan Baijal, Rosario Scalise, Rose Hendrix, Roy Lin, Runjia Qian, Ruohan Zhang, Russell Mendonca, Rutav Shah, Ryan Hoque, Ryan Julian, Samuel Bustamante, Sean Kirmani, Sergey Levine, Shan Lin, Sherry Moore, Shikhar Bahl, Shivin Dass, Shubham D. Sonawani, Shuran Song, Sichun Xu, Siddhant Haldar, Siddharth Karamcheti, Simeon Adebola, Simon Guist, Soroush Nasiriany, Stefan Schaal, Stefan Welker, Stephen Tian, Subramanian Ramamoorthy, Sudeep Dasari, Suneel Belkhale, Sungjae Park, Suraj Nair, Suvir Mirchandani, Takayuki Osa, Tanmay Gupta, Tatsuya Harada, Tatsuya Matsushima, Ted Xiao, Thomas Kollar, Tianhe Yu, Tianli Ding, Todor Davchev, Tony Z. Zhao, Travis Armstrong, Trevor Darrell, Trinity Chung, Vidhi Jain, Vincent Vanhoucke, Wei Zhan, Wenxuan Zhou, Wolfram Burgard, Xi Chen, Xiaolong Wang, Xinghao Zhu, Xinyang Geng, Xiyuan Liu, Liangwei Xu, Xuanlin Li, Yao Lu, Yecheng Jason Ma, Yejin Kim, Yevgen Chebotar, Yifan Zhou, Yifeng Zhu, Yilin Wu, Ying Xu, Yixuan Wang, Yonatan Bisk, Yoonyoung Cho, Youngwoon Lee, Yuchen Cui, Yue Cao, Yueh-Hua Wu, Yujin Tang, Yuke Zhu, Yunchu Zhang, Yunfan Jiang, Yunshuang Li, Yunzhu Li, Yusuke Iwasawa, Yutaka Matsuo, Zehan Ma, Zhuo Xu, Zichen Jeff Cui, Zichen Zhang, Zipeng Lin:
Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration. ICRA 2024: 6892-6903 - [c100]Kiran Lekkala, Eshan Bhargava, Laurent Itti:
Evaluating Pretrained Models for Deployable Lifelong Learning. WACV (Workshops) 2024: 561-569 - [i54]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:
BEHAVIOR Vision Suite: Customizable Dataset Generation via Simulation. CoRR abs/2405.09546 (2024) - 2023
- [j40]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:
USC-DCT: A Collection of Diverse Classification Tasks. Data 8(10): 153 (2023) - [j39]Guokai Zhang, Dandan Zhu, Xiao Liu, Mingle Chen, Laurent Itti, Ye Luo, Jianwei Lu:
Multi-scale pulmonary nodule classification with deep feature fusion via residual network. J. Ambient Intell. Humaniz. Comput. 14(11): 14829-14840 (2023) - [j38]Yunhao Ge, Sercan Ö. Arik, Jinsung Yoon, Ao Xu, Laurent Itti, Tomas Pfister:
Invariant Structure Learning for Better Generalization and Causal Explainability. Trans. Mach. Learn. Res. 2023 (2023) - [j37]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:
Lightweight Learner for Shared Knowledge Lifelong Learning. Trans. Mach. Learn. Res. 2023 (2023) - [c99]Iordanis Fostiropoulos, Laurent Itti:
ABLATOR: Robust Horizontal-Scaling of Machine Learning Ablation Experiments. AutoML 2023: 19/1-15 - [c98]Iordanis Fostiropoulos, Bowman Brown, Laurent Itti:
Reproducibility Requires Consolidated Artifacts. CAIN 2023: 100-101 - [c97]Iordanis Fostiropoulos, Jiaye Zhu, Laurent Itti:
Batch Model Consolidation: A Multi-Task Model Consolidation Framework. CVPR 2023: 3664-3676 - [c96]Yunhao Ge, Jie Ren, Andrew Gallagher, Yuxiao Wang, Ming-Hsuan Yang, Hartwig Adam, Laurent Itti, Balaji Lakshminarayanan, Jiaping Zhao:
Improving Zero-shot Generalization and Robustness of Multi-Modal Models. CVPR 2023: 11093-11101 - [c95]Yunhao Ge, Yuecheng Li, Shuo Ni, Jiaping Zhao, Ming-Hsuan Yang, Laurent Itti:
CLR: Channel-wise Lightweight Reprogramming for Continual Learning. ICCV 2023: 18752-18762 - [c94]Yunhao Ge, Hong-Xing Yu, Cheng Zhao, Yuliang Guo, Xinyu Huang, Liu Ren, Laurent Itti, Jiajun Wu:
3D Copy-Paste: Physically Plausible Object Insertion for Monocular 3D Detection. NeurIPS 2023 - [c93]Sumedh Sontakke, Jesse Zhang, Sébastien M. R. Arnold, Karl Pertsch, Erdem Biyik, Dorsa Sadigh, Chelsea Finn, Laurent Itti:
RoboCLIP: One Demonstration is Enough to Learn Robot Policies. NeurIPS 2023 - [c92]Yunhao Ge, Zhi Xu, Yao Xiao, Gan Xin, Yunkui Pang, Laurent Itti:
Encouraging Disentangled and Convex Representation with Controllable Interpolation Regularization. WACV 2023: 4750-4758 - [c91]Gozde Sahin, Laurent Itti:
HOOT: Heavy Occlusions in Object Tracking Benchmark. WACV 2023: 4819-4828 - [i53]Iordanis Fostiropoulos, Bowman Brown, Laurent Itti:
Reproducibility Requires Consolidated Artifacts. CoRR abs/2305.12571 (2023) - [i52]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:
Lightweight Learner for Shared Knowledge Lifelong Learning. CoRR abs/2305.15591 (2023) - [i51]Iordanis Fostiropoulos, Jiaye Zhu, Laurent Itti:
Batch Model Consolidation: A Multi-Task Model Consolidation Framework. CoRR abs/2305.16484 (2023) - [i50]Yunhao Ge, Jie Ren, Jiaping Zhao, Kaifeng Chen, Andrew Gallagher, Laurent Itti, Balaji Lakshminarayanan:
Building One-class Detector for Anything: Open-vocabulary Zero-shot OOD Detection Using Text-image Models. CoRR abs/2305.17207 (2023) - [i49]Yunhao Ge, Yuecheng Li, Shuo Ni, Jiaping Zhao, Ming-Hsuan Yang, Laurent Itti:
CLR: Channel-wise Lightweight Reprogramming for Continual Learning. CoRR abs/2307.11386 (2023) - [i48]Yunhao Ge, Jiashu Xu, Brian Nlong Zhao, Neel Joshi, Laurent Itti, Vibhav Vineet:
Beyond Generation: Harnessing Text to Image Models for Object Detection and Segmentation. CoRR abs/2309.05956 (2023) - [i47]Sumedh A. Sontakke, Jesse Zhang, Sébastien M. R. Arnold, Karl Pertsch, Erdem Biyik, Dorsa Sadigh, Chelsea Finn, Laurent Itti:
RoboCLIP: One Demonstration is Enough to Learn Robot Policies. CoRR abs/2310.07899 (2023) - [i46]Chen Liu, Kiran Lekkala, Laurent Itti:
World Model Based Sim2Real Transfer for Visual Navigation. CoRR abs/2310.18847 (2023) - [i45]Kiran Lekkala, Eshan Bhargava, Laurent Itti:
Evaluating Pretrained models for Deployable Lifelong Learning. CoRR abs/2311.13648 (2023) - [i44]Yunhao Ge, Hong-Xing Yu, Cheng Zhao, Yuliang Guo, Xinyu Huang, Liu Ren, Laurent Itti, Jiajun Wu:
3D Copy-Paste: Physically Plausible Object Insertion for Monocular 3D Detection. CoRR abs/2312.05277 (2023) - [i43]Kiran Lekkala, Henghui Bao, Sumedh Sontakke, Laurent Itti:
Value Explicit Pretraining for Goal-Based Transfer Learning. CoRR abs/2312.12339 (2023) - [i42]Brian Nlong Zhao, Yuhang Xiao, Jiashu Xu, Xinyang Jiang, Yifan Yang, Dongsheng Li, Laurent Itti, Vibhav Vineet, Yunhao Ge:
DreamDistribution: Prompt Distribution Learning for Text-to-Image Diffusion Models. CoRR abs/2312.14216 (2023) - 2022
- [j36]Shixian Wen, Amanda Rios, Yunhao Ge, Laurent Itti:
Beneficial Perturbation Network for Designing General Adaptive Artificial Intelligence Systems. IEEE Trans. Neural Networks Learn. Syst. 33(8): 3778-3791 (2022) - [c90]Sumedh A. Sontakke, Stephen Iota, Zizhao Hu, Arash Mehrjou, Laurent Itti, Bernhard Schölkopf:
GalilAI: Out-of-Task Distribution Detection using Causal Active Experimentation for Safe Transfer RL. AISTATS 2022: 7518-7530 - [c89]Yunhao Ge, Yao Xiao, Zhi Xu, Xingrui Wang, Laurent Itti:
Contributions of Shape, Texture, and Color in Visual Recognition. ECCV (12) 2022: 369-386 - [c88]Yunhao Ge, Harkirat S. Behl, Jiashu Xu, Suriya Gunasekar, Neel Joshi, Yale Song, Xin Wang, Laurent Itti, Vibhav Vineet:
Neural-Sim: Learning to Generate Training Data with NeRF. ECCV (23) 2022: 477-493 - [c87]Amanda Rios, Nilesh A. Ahuja, Ibrahima J. Ndiour, Ergin Utku Genc, Laurent Itti, Omesh Tickoo:
incDFM: Incremental Deep Feature Modeling for Continual Novelty Detection. ECCV (25) 2022: 588-604 - [c86]S. Roychowdhury, Sumedh A. Sontakke, Laurent Itti, M. Sarkar, M. Aggarwal, Pinkesh Badjatiya, Nikaash Puri, Balaji Krishnamurthy:
SHERLock: Self-Supervised Hierarchical Event Representation Learning. ICPR 2022: 2672-2678 - [i41]Shixian Wen, Amanda Sofie Rios, Kiran Lekkala, Laurent Itti:
What can we learn from misclassified ImageNet images? CoRR abs/2201.08098 (2022) - [i40]Sumedh A. Sontakke, Buvaneswari Ramanan, Laurent Itti, Thomas Woo:
Model2Detector: Widening the Information Bottleneck for Out-of-Distribution Detection using a Handful of Gradient Steps. CoRR abs/2202.11226 (2022) - [i39]Yunhao Ge, Sercan Ö. Arik, Jinsung Yoon, Ao Xu, Laurent Itti, Tomas Pfister:
Invariant Structure Learning for Better Generalization and Causal Explainability. CoRR abs/2206.06469 (2022) - [i38]Yunhao Ge, Jiashu Xu, Brian Nlong Zhao, Laurent Itti, Vibhav Vineet:
DALL-E for Detection: Language-driven Context Image Synthesis for Object Detection. CoRR abs/2206.09592 (2022) - [i37]Yunhao Ge, Yao Xiao, Zhi Xu, Xingrui Wang, Laurent Itti:
Contributions of Shape, Texture, and Color in Visual Recognition. CoRR abs/2207.09510 (2022) - [i36]Yunhao Ge, Harkirat S. Behl, Jiashu Xu, Suriya Gunasekar, Neel Joshi, Yale Song, Xin Wang, Laurent Itti, Vibhav Vineet:
Neural-Sim: Learning to Generate Training Data with NeRF. CoRR abs/2207.11368 (2022) - [i35]Iordanis Fostiropoulos, Laurent Itti:
Supervised Contrastive Prototype Learning: Augmentation Free Robust Neural Network. CoRR abs/2211.14424 (2022) - [i34]Yixin Xu, Zijian Zhao, Yi Xiao, Tongguang Yu, Halid Mulaosmanovic, Dominik Kleimaier, Stefan Dünkel, Sven Beyer, Xiao Gong, Rajiv V. Joshi, X. Sharon Hu, Shixian Wen, Amanda Sofie Rios, Kiran Lekkala, Laurent Itti, Eric Homan, Sumitha George, Vijaykrishnan Narayanan, Kai Ni:
Ferroelectric FET based Context-Switching FPGA Enabling Dynamic Reconfiguration for Adaptive Deep Learning Machines. CoRR abs/2212.00089 (2022) - [i33]Yunhao Ge, Jie Ren, Yuxiao Wang, Andrew Gallagher, Ming-Hsuan Yang, Laurent Itti, Hartwig Adam, Balaji Lakshminarayanan, Jiaping Zhao:
Improving Zero-shot Generalization and Robustness of Multi-modal Models. CoRR abs/2212.01758 (2022) - [i32]Yunhao Ge, Jiashu Xu, Brian Nlong Zhao, Laurent Itti, Vibhav Vineet:
EM-Paste: EM-guided Cut-Paste with DALL-E Augmentation for Image-level Weakly Supervised Instance Segmentation. CoRR abs/2212.07629 (2022) - 2021
- [c85]Yunhao Ge, Yao Xiao, Zhi Xu, Meng Zheng, Srikrishna Karanam, Terrence Chen, Laurent Itti, Ziyan Wu:
A Peek Into the Reasoning of Neural Networks: Interpreting With Structural Visual Concepts. CVPR 2021: 2195-2204 - [c84]Gozde Sahin, Laurent Itti:
Multi-Task Occlusion Learning for Real-Time Visual Object Tracking. ICIP 2021: 524-528 - [c83]Yunhao Ge, Sami Abu-El-Haija, Gan Xin, Laurent Itti:
Zero-shot Synthesis with Group-Supervised Learning. ICLR 2021 - [c82]Sumedh A. Sontakke, Arash Mehrjou, Laurent Itti, Bernhard Schölkopf:
Causal Curiosity: RL Agents Discovering Self-supervised Experiments for Causal Representation Learning. ICML 2021: 9848-9858 - [c81]Kiran Lekkala, Laurent Itti:
Shaped Policy Search for Evolutionary Strategies using Waypoints*. ICRA 2021: 9093-9100 - [i31]Yunhao Ge, Yao Xiao, Zhi Xu, Meng Zheng, Srikrishna Karanam, Terrence Chen, Laurent Itti, Ziyan Wu:
A Peek Into the Reasoning of Neural Networks: Interpreting with Structural Visual Concepts. CoRR abs/2105.00290 (2021) - [i30]Kiran Lekkala, Laurent Itti:
Shaped Policy Search for Evolutionary Strategies using Waypoints. CoRR abs/2105.14639 (2021) - [i29]Sumedh A. Sontakke, Sumegh Roychowdhury, Mausoom Sarkar, Nikaash Puri, Balaji Krishnamurthy, Laurent Itti:
Video2Skill: Adapting Events in Demonstration Videos to Skills in an Environment using Cyclic MDP Homomorphisms. CoRR abs/2109.03813 (2021) - [i28]Sumedh A. Sontakke, Stephen Iota, Zizhao Hu, Arash Mehrjou, Laurent Itti, Bernhard Schölkopf:
GalilAI: Out-of-Task Distribution Detection using Causal Active Experimentation for Safe Transfer RL. CoRR abs/2110.15489 (2021) - [i27]Yunhao Ge, Zhi Xu, Yao Xiao, Gan Xin, Yunkui Pang, Laurent Itti:
Encouraging Disentangled and Convex Representation with Controllable Interpolation Regularization. CoRR abs/2112.03163 (2021) - 2020
- [j35]Jatuporn Toy Leksut, Jiaping Zhao, Laurent Itti:
Learning visual variation for object recognition. Image Vis. Comput. 98: 103912 (2020) - [c80]Yunhao Ge, Jiaping Zhao, Laurent Itti:
Pose Augmentation: Class-Agnostic Object Pose Transformation for Object Recognition. ECCV (28) 2020: 138-155 - [c79]Amanda Rios, Laurent Itti:
Lifelong Learning Without a Task Oracle. ICTAI 2020: 255-263 - [i26]Yunhao Ge, Jiaping Zhao, Laurent Itti:
Pose Augmentation: Class-agnostic Object Pose Transformation for Object Recognition. CoRR abs/2003.08526 (2020) - [i25]Kiran Lekkala, Laurent Itti:
Attentive Feature Reuse for Multi Task Meta learning. CoRR abs/2006.07438 (2020) - [i24]Yunhao Ge, Sami Abu-El-Haija, Gan Xin, Laurent Itti:
Zero-shot Synthesis with Group-Supervised Learning. CoRR abs/2009.06586 (2020) - [i23]Shixian Wen, Laurent Itti:
Beneficial Perturbations Network for Defending Adversarial Examples. CoRR abs/2009.12724 (2020) - [i22]Shixian Wen, Amanda Rios, Yunhao Ge, Laurent Itti:
Beneficial Perturbation Network for designing general adaptive artificial intelligence systems. CoRR abs/2009.13954 (2020) - [i21]Sumegh Roychowdhury, Sumedh A. Sontakke, Nikaash Puri, Mausoom Sarkar, Milan Aggarwal, Pinkesh Badjatiya, Balaji Krishnamurthy, Laurent Itti:
Unsupervised Hierarchical Concept Learning. CoRR abs/2010.02556 (2020) - [i20]Sumedh A. Sontakke, Arash Mehrjou, Laurent Itti, Bernhard Schölkopf:
Causal Curiosity: RL Agents Discovering Self-supervised Experiments for Causal Representation Learning. CoRR abs/2010.03110 (2020) - [i19]Amanda Rios, Laurent Itti:
Lifelong Learning Without a Task Oracle. CoRR abs/2011.04783 (2020)
2010 – 2019
- 2019
- [j34]W. Shane Grant, Randolph C. Voorhies, Laurent Itti:
Efficient Velodyne SLAM with point and plane features. Auton. Robots 43(5): 1207-1224 (2019) - [j33]W. Shane Grant, Laurent Itti:
Learning Invariant Features in Modulatory Networks through Conflict and Ambiguity. Neural Comput. 31(2) (2019) - [j32]Kazuhide Okamoto, Laurent Itti, Panagiotis Tsiotras:
Vision-Based Autonomous Path Following Using a Human Driver Control Model With Reliable Input-Feature Value Estimation. IEEE Trans. Intell. Veh. 4(3): 497-506 (2019) - [c78]Amanda Rios, Laurent Itti:
Closed-Loop Memory GAN for Continual Learning. IJCAI 2019: 3332-3338 - [c77]Jens Windau, Laurent Itti:
Inertial-based Motion Capturing and Smart Training System. IROS 2019: 4027-4034 - [c76]Lauren Klein, Laurent Itti, Beth A. Smith, Marcelo R. Rosales, Stefanos Nikolaidis, Maja J. Mataric:
Surprise! Predicting Infant Visual Attention in a Socially Assistive Robot Contingent Learning Paradigm. RO-MAN 2019: 1-7 - [c75]Laurent Itti:
Lessons from neuroscience. WWW (Companion Volume) 2019: 70 - [i18]Amy Zhang, Zachary C. Lipton, Luis Pineda, Kamyar Azizzadenesheli, Anima Anandkumar, Laurent Itti, Joelle Pineau, Tommaso Furlanello:
Learning Causal State Representations of Partially Observable Environments. CoRR abs/1906.10437 (2019) - [i17]Shixian Wen, Laurent Itti:
Beneficial perturbation network for continual learning. CoRR abs/1906.10528 (2019) - [i16]Shixian Wen, Laurent Itti:
Adversarial Training: embedding adversarial perturbations into the parameter space of a neural network to build a robust system. CoRR abs/1910.04279 (2019) - [i15]Kiran Lekkala, Sami Abu-El-Haija, Laurent Itti:
Meta Adaptation using Importance Weighted Demonstrations. CoRR abs/1911.10322 (2019) - 2018
- [j31]Dandan Zhu, Ye Luo, Lei Dai, Xuan Shao, Qiangqiang Zhou, Laurent Itti, Jianwei Lu:
Salient object detection via a local and global method based on deep residual network. J. Vis. Commun. Image Represent. 54: 1-9 (2018) - [j30]Jiaping Zhao, Laurent Itti:
shapeDTW: Shape Dynamic Time Warping. Pattern Recognit. 74: 171-184 (2018) - [j29]Dandan Zhu, Lei Dai, Ye Luo, Guokai Zhang, Xuan Shao, Laurent Itti, Jianwei Lu:
Multi-Scale Adversarial Feature Learning for Saliency Detection. Symmetry 10(10): 457 (2018) - [c74]Tommaso Furlanello, Zachary Chase Lipton, Michael Tschannen, Laurent Itti, Anima Anandkumar:
Born-Again Neural Networks. ICML 2018: 1602-1611 - [c73]Chin-Kai Chang, Jiaping Zhao, Laurent Itti:
DeepVP: Deep Learning for Vanishing Point Detection on 1 Million Street View Images. ICRA 2018: 1-8 - [c72]Jens Windau, Laurent Itti:
Inertial Machine Monitoring System for Automated Failure Detection. ICRA 2018: 93-98 - [i14]Tommaso Furlanello, Zachary C. Lipton, Michael Tschannen, Laurent Itti, Anima Anandkumar:
Born Again Neural Networks. CoRR abs/1805.04770 (2018) - [i13]Shixian Wen, Laurent Itti:
Overcoming catastrophic forgetting problem by weight consolidation and long-term memory. CoRR abs/1805.07441 (2018) - [i12]Amanda Rios, Laurent Itti:
Closed-Loop GAN for continual Learning. CoRR abs/1811.01146 (2018) - 2017
- [j28]Peter A. Zientara, Sooyeon Lee, Gus Henry Smith, Rorry Brenner, Laurent Itti, Mary Beth Rosson, John M. Carroll, Kevin M. Irick, Vijaykrishnan Narayanan:
Third Eye: A Shopping Assistant for the Visually Impaired. Computer 50(2): 16-24 (2017) - [j27]Dandan Zhu, Lei Dai, Xuan Shao, Qiangqiang Zhou, Laurent Itti, Ye Luo, Jianwei Lu:
Image salient object detection with refined deep features via convolution neural network. J. Electronic Imaging 26(6): 63018 (2017) - [j26]W. Shane Grant, James Tanner, Laurent Itti:
Biologically plausible learning in neural networks with modulatory feedback. Neural Networks 88: 32-48 (2017) - [c71]Dandan Zhu, Ye Luo, Xuan Shao, Laurent Itti, Jianwei Lu:
Saliency prediction based on new deep multi-layer convolution neural network. ICIP 2017: 2711-2715 - [c70]Xuan Shao, Ye Luo, Dandan Zhu, Shuqin Li, Laurent Itti, Jianwei Lu:
Scanpath Prediction Based on High-Level Features and Memory Bias. ICONIP (3) 2017: 3-13 - [c69]Dandan Zhu, Ye Luo, Lei Dai, Xuan Shao, Laurent Itti, Jianwei Lu:
Deep Salient Object Detection via Hierarchical Network Learning. ICONIP (3) 2017: 319-329 - [c68]Jiaping Zhao, Laurent Itti:
Improved Deep Learning of Object Category Using Pose Information. WACV 2017: 550-559 - [c67]Jiaping Zhao, Chin-Kai Chang, Laurent Itti:
Learning to Recognize Objects by Retaining Other Factors of Variation. WACV 2017: 560-568 - 2016
- [j25]Jingwei Wang, Ali Borji, C.-C. Jay Kuo, Laurent Itti:
Learning a Combined Model of Visual Saliency for Fixation Prediction. IEEE Trans. Image Process. 25(4): 1566-1579 (2016) - [j24]Jiaping Zhao, Laurent Itti:
Classifying Time Series Using Local Descriptors with Hybrid Sampling. IEEE Trans. Knowl. Data Eng. 28(3): 623-637 (2016) - [c66]Ali Borji, Saeed Izadi, Laurent Itti:
iLab-20M: A Large-Scale Controlled Object Dataset to Investigate Deep Learning. CVPR 2016: 2221-2230 - [c65]Rorry Brenner, Jay Priyadarshi, Laurent Itti:
Perfect Accuracy with Human-in-the-Loop Object Detection. ECCV Workshops (2) 2016: 360-374 - [c64]Jens Windau, Laurent Itti:
Walking compass with head-mounted IMU sensor. ICRA 2016: 5542-5547 - [c63]Linqing Liu, Yao Lu, Ye Luo, Renxian Zhang, Laurent Itti, Jianwei Lu:
Detecting "Smart" Spammers on Social Network: A Topic Model Approach. SRW@HLT-NAACL 2016: 45-50 - [c62]Jiaping Zhao, Laurent Itti:
Decomposing time series with application to temporal segmentation. WACV 2016: 1-9 - [i11]Linqing Liu, Yao Lu, Ye Luo, Renxian Zhang, Laurent Itti, Jianwei Lu:
Detecting "Smart" Spammers On Social Network: A Topic Model Approach. CoRR abs/1604.08504 (2016) - [i10]Jiaping Zhao, Laurent Itti:
shapeDTW: shape Dynamic Time Warping. CoRR abs/1606.01601 (2016) - [i9]Tommaso Furlanello, Jiaping Zhao, Andrew M. Saxe, Laurent Itti, Bosco S. Tjan:
Active Long Term Memory Networks. CoRR abs/1606.02355 (2016) - [i8]