Laurent Itti

ORCID

Publication Activity (10 Years)

Years Active: 1997-2024
Publications (10 Years): 114

Top Venues

Publications

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) (2024)
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)
Kiran Lekkala, Eshan Bhargava, Laurent Itti
Evaluating Pretrained Models for Deployable Lifelong Learning. WACV (Workshops) (2024)
Adam M. Jones, Laurent Itti, Bhavin R. Sheth
Expert-level sleep staging using an electrocardiography-only feed-forward neural network. Comput. Biol. Medicine 176 (2024)
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 (2024)
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)
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 (2023)
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 (2023)
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)
Iordanis Fostiropoulos, Laurent Itti
ABLATOR: Robust Horizontal-Scaling of Machine Learning Ablation Experiments. AutoML (2023)
Yunhao Ge, Yuecheng Li, Shuo Ni, Jiaping Zhao, Ming-Hsuan Yang, Laurent Itti
CLR: Channel-wise Lightweight Reprogramming for Continual Learning. CoRR (2023)
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)
Iordanis Fostiropoulos, Jiaye Zhu, Laurent Itti
Batch Model Consolidation: A Multi-Task Model Consolidation Framework. CoRR (2023)
Kiran Lekkala, Eshan Bhargava, Laurent Itti
Evaluating Pretrained models for Deployable Lifelong Learning. CoRR (2023)
Iordanis Fostiropoulos, Bowman Brown, Laurent Itti
Reproducibility Requires Consolidated Artifacts. CoRR (2023)
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)
Chen Liu, Kiran Lekkala, Laurent Itti
World Model Based Sim2Real Transfer for Visual Navigation. CoRR (2023)
Iordanis Fostiropoulos, Jiaye Zhu, Laurent Itti
Batch Model Consolidation: A Multi-Task Model Consolidation Framework. CVPR (2023)
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 (2023)
Gozde Sahin, Laurent Itti
HOOT: Heavy Occlusions in Object Tracking Benchmark. WACV (2023)
Yunhao Ge, Zhi Xu, Yao Xiao, Gan Xin, Yunkui Pang, Laurent Itti
Encouraging Disentangled and Convex Representation with Controllable Interpolation Regularization. WACV (2023)
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) (2023)
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) (2023)
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)
Kiran Lekkala, Henghui Bao, Sumedh Sontakke, Laurent Itti
Value Explicit Pretraining for Goal-Based Transfer Learning. CoRR (2023)
Yunhao Ge, Yuecheng Li, Shuo Ni, Jiaping Zhao, Ming-Hsuan Yang, Laurent Itti
CLR: Channel-wise Lightweight Reprogramming for Continual Learning. ICCV (2023)
Iordanis Fostiropoulos, Bowman Brown, Laurent Itti
Reproducibility Requires Consolidated Artifacts. CAIN (2023)
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 (2023)
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 (2023)
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 (2023)
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 (2022)
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 (2022)
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 (2022)
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 (2022)
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) (2022)
Iordanis Fostiropoulos, Laurent Itti
Supervised Contrastive Prototype Learning: Augmentation Free Robust Neural Network. CoRR (2022)
Yunhao Ge, Yao Xiao, Zhi Xu, Xingrui Wang, Laurent Itti
Contributions of Shape, Texture, and Color in Visual Recognition. ECCV (12) (2022)
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)
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)
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)
Yunhao Ge, Jiashu Xu, Brian Nlong Zhao, Laurent Itti, Vibhav Vineet
DALL-E for Detection: Language-driven Context Image Synthesis for Object Detection. CoRR (2022)
Shixian Wen, Amanda Sofie Rios, Kiran Lekkala, Laurent Itti
What can we learn from misclassified ImageNet images? CoRR (2022)
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)
Yunhao Ge, Sercan Ö. Arik, Jinsung Yoon, Ao Xu, Laurent Itti, Tomas Pfister
Invariant Structure Learning for Better Generalization and Causal Explainability. CoRR (2022)
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 (2022)
Yunhao Ge, Yao Xiao, Zhi Xu, Xingrui Wang, Laurent Itti
Contributions of Shape, Texture, and Color in Visual Recognition. CoRR (2022)
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)
Kiran Lekkala, Laurent Itti
Shaped Policy Search for Evolutionary Strategies using Waypoints. CoRR (2021)
Sumedh A. Sontakke, Arash Mehrjou, Laurent Itti, Bernhard Schölkopf
Causal Curiosity: RL Agents Discovering Self-supervised Experiments for Causal Representation Learning. ICML (2021)
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 (2021)
Kiran Lekkala, Laurent Itti
. ICRA (2021)
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 (2021)
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 (2021)
Gozde Sahin, Laurent Itti
Multi-Task Occlusion Learning for Real-Time Visual Object Tracking. ICIP (2021)
Yunhao Ge, Sami Abu-El-Haija, Gan Xin, Laurent Itti
Zero-shot Synthesis with Group-Supervised Learning. ICLR (2021)
Yunhao Ge, Zhi Xu, Yao Xiao, Gan Xin, Yunkui Pang, Laurent Itti
Encouraging Disentangled and Convex Representation with Controllable Interpolation Regularization. CoRR (2021)
Shixian Wen, Laurent Itti
Beneficial Perturbations Network for Defending Adversarial Examples. CoRR (2020)
Amanda Rios, Laurent Itti
Lifelong Learning Without a Task Oracle. CoRR (2020)
Yunhao Ge, Jiaping Zhao, Laurent Itti
Pose Augmentation: Class-Agnostic Object Pose Transformation for Object Recognition. ECCV (28) (2020)
Amanda Rios, Laurent Itti
Lifelong Learning Without a Task Oracle. ICTAI (2020)
Sumedh A. Sontakke, Arash Mehrjou, Laurent Itti, Bernhard Schölkopf
Causal Curiosity: RL Agents Discovering Self-supervised Experiments for Causal Representation Learning. CoRR (2020)
Yunhao Ge, Jiaping Zhao, Laurent Itti
Pose Augmentation: Class-agnostic Object Pose Transformation for Object Recognition. CoRR (2020)
Kiran Lekkala, Laurent Itti
Attentive Feature Reuse for Multi Task Meta learning. CoRR (2020)
Shixian Wen, Amanda Rios, Yunhao Ge, Laurent Itti
Beneficial Perturbation Network for designing general adaptive artificial intelligence systems. CoRR (2020)
Sumegh Roychowdhury, Sumedh A. Sontakke, Nikaash Puri, Mausoom Sarkar, Milan Aggarwal, Pinkesh Badjatiya, Balaji Krishnamurthy, Laurent Itti
Unsupervised Hierarchical Concept Learning. CoRR (2020)
Jatuporn Toy Leksut, Jiaping Zhao, Laurent Itti
Learning visual variation for object recognition. Image Vis. Comput. 98 (2020)
Yunhao Ge, Sami Abu-El-Haija, Gan Xin, Laurent Itti
Zero-shot Synthesis with Group-Supervised Learning. CoRR (2020)
Kiran Lekkala, Sami Abu-El-Haija, Laurent Itti
Meta Adaptation using Importance Weighted Demonstrations. CoRR (2019)
Shixian Wen, Laurent Itti
Beneficial perturbation network for continual learning. CoRR (2019)
Laurent Itti
Lessons from neuroscience. WWW (Companion Volume) (2019)
Jens Windau, Laurent Itti
Inertial-based Motion Capturing and Smart Training System. IROS (2019)
Amanda Rios, Laurent Itti
Closed-Loop Memory GAN for Continual Learning. IJCAI (2019)
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) (2019)
Shixian Wen, Laurent Itti
Adversarial Training: embedding adversarial perturbations into the parameter space of a neural network to build a robust system. CoRR (2019)
W. Shane Grant, Randolph C. Voorhies, Laurent Itti
Efficient Velodyne SLAM with point and plane features. Auton. Robots 43 (5) (2019)
W. Shane Grant, Laurent Itti
Learning Invariant Features in Modulatory Networks through Conflict and Ambiguity. Neural Comput. 31 (2) (2019)
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)
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 (2019)
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 (2018)
Tommaso Furlanello, Zachary Chase Lipton, Michael Tschannen, Laurent Itti, Anima Anandkumar
Born-Again Neural Networks. ICML (2018)
Shixian Wen, Laurent Itti
Overcoming catastrophic forgetting problem by weight consolidation and long-term memory. CoRR (2018)
Tommaso Furlanello, Zachary C. Lipton, Michael Tschannen, Laurent Itti, Anima Anandkumar
Born Again Neural Networks. CoRR (2018)
Amanda Rios, Laurent Itti
Closed-Loop GAN for continual Learning. CoRR (2018)
Jens Windau, Laurent Itti
Inertial Machine Monitoring System for Automated Failure Detection. ICRA (2018)
Jiaping Zhao, Laurent Itti
shapeDTW: Shape Dynamic Time Warping. Pattern Recognit. 74 (2018)
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) (2018)
Chin-Kai Chang, Jiaping Zhao, Laurent Itti
DeepVP: Deep Learning for Vanishing Point Detection on 1 Million Street View Images. ICRA (2018)
Jiaping Zhao, Chin-Kai Chang, Laurent Itti
Learning to Recognize Objects by Retaining Other Factors of Variation. WACV (2017)
W. Shane Grant, James Tanner, Laurent Itti
Biologically plausible learning in neural networks with modulatory feedback. Neural Networks 88 (2017)
Dandan Zhu, Ye Luo, Lei Dai, Xuan Shao, Laurent Itti, Jianwei Lu
Deep Salient Object Detection via Hierarchical Network Learning. ICONIP (3) (2017)
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) (2017)
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)
Jiaping Zhao, Laurent Itti
Improved Deep Learning of Object Category Using Pose Information. WACV (2017)
Dandan Zhu, Ye Luo, Xuan Shao, Laurent Itti, Jianwei Lu
Saliency prediction based on new deep multi-layer convolution neural network. ICIP (2017)
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) (2017)
Jens Windau, Laurent Itti
Walking compass with head-mounted IMU sensor. ICRA (2016)
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) (2016)
Jiaping Zhao, Laurent Itti
Improved Deep Learning of Object Category using Pose Information. CoRR (2016)
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)
Jiaping Zhao, Chin-Kai Chang, Laurent Itti
Learning to Recognize Objects by Retaining other Factors of Variation. CoRR (2016)

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Publication Activity (10 Years)

Top Topics

Top Venues

Laurent Itti