Laurent Itti - RankMe

207 papers A* 30A 18B 17C 1Journal 101Unranked 39

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Value Explicit Pretraining for Learning Transferable Representations. IEEE Robotics Autom. Lett. Kiran Lekkala, Henghui Bao, Sumedh A. Sontakke, Erdem Biyik, Laurent Itti
2025	A*	`conf`	DreamDistribution: Learning Prompt Distribution for Diverse In-distribution Generation. ICLR Brian Nlong Zhao, Yuhang Xiao, Jiashu Xu, Xinyang Jiang, Yifan Yang, Dongsheng Li, Laurent Itti, Vibhav Vineet, Yunhao Ge
2025	J	`jnl`	Exploring the Performance of Perforated Backpropagation through Further Experiments. CoRR Rorry Brenner, Evan Davis, Rushi Chaudhari, Rowan Morse, Jingyao Chen, Xirui Liu, Zhaoyi You, Laurent Itti
2025	A	`conf`	NaviSense: A Multimodal Assistive Mobile application for Object Retrieval by Persons with Visual Impairment. ASSETS Ajay Narayanan Sridhar, Fuli Qiao, Nelson Daniel Troncoso Aldas, Yanpei Shi, Mehrdad Mahdavi, Laurent Itti, Vijaykrishnan Narayanan
2025	J	`jnl`	NaviSense: A Multimodal Assistive Mobile application for Object Retrieval by Persons with Visual Impairment. CoRR Ajay Narayanan Sridhar, Fuli Qiao, Nelson Daniel Troncoso Aldas, Yanpei Shi, Mehrdad Mahdavi, Laurent Itti, Vijaykrishnan Narayanan
2025	J	`jnl`	Perforated Backpropagation: A Neuroscience Inspired Extension to Artificial Neural Networks. CoRR Rorry Brenner, Laurent Itti
2025	J	`jnl`	Riemannian-Geometric Fingerprints of Generative Models. CoRR Hae Jin Song, Laurent Itti
2024	J	`jnl`	A collective AI via lifelong learning and sharing at the edge. Nat. Mac. Intell. 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
2024	A*	`conf`	BEHAVIOR Vision Suite: Customizable Dataset Generation via Simulation. CVPR 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
2024	J	`jnl`	BEHAVIOR Vision Suite: Customizable Dataset Generation via Simulation. CoRR 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
2024	—	`conf`	Evaluating Pretrained Models for Deployable Lifelong Learning. WACV (Workshops) Kiran Lekkala, Eshan Bhargava, Laurent Itti
2024	J	`jnl`	Expert-level sleep staging using an electrocardiography-only feed-forward neural network. Comput. Biol. Medicine Adam M. Jones, Laurent Itti, Bhavin R. Sheth
2024	A*	`conf`	Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration. ICRA 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 E. 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 T. 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-Gomez, 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
2024	A*	`conf`	USCILab3D: A Large-scale, Long-term, Semantically Annotated Outdoor Dataset. NeurIPS Kiran Lekkala, Henghui Bao, Peixu Cai, Wei Lim, Chen Liu, Laurent Itti
2023	A*	`conf`	3D Copy-Paste: Physically Plausible Object Insertion for Monocular 3D Detection. NeurIPS Yunhao Ge, Hong-Xing Yu, Cheng Zhao, Yuliang Guo, Xinyu Huang, Liu Ren, Laurent Itti, Jiajun Wu
2023	J	`jnl`	3D Copy-Paste: Physically Plausible Object Insertion for Monocular 3D Detection. CoRR Yunhao Ge, Hong-Xing Yu, Cheng Zhao, Yuliang Guo, Xinyu Huang, Liu Ren, Laurent Itti, Jiajun Wu
2023	—	`conf`	ABLATOR: Robust Horizontal-Scaling of Machine Learning Ablation Experiments. AutoML Iordanis Fostiropoulos, Laurent Itti
2023	A*	`conf`	Batch Model Consolidation: A Multi-Task Model Consolidation Framework. CVPR Iordanis Fostiropoulos, Jiaye Zhu, Laurent Itti
2023	J	`jnl`	Batch Model Consolidation: A Multi-Task Model Consolidation Framework. CoRR Iordanis Fostiropoulos, Jiaye Zhu, Laurent Itti
2023	J	`jnl`	Beyond Generation: Harnessing Text to Image Models for Object Detection and Segmentation. CoRR Yunhao Ge, Jiashu Xu, Brian Nlong Zhao, Neel Joshi, Laurent Itti, Vibhav Vineet
2023	J	`jnl`	Building One-class Detector for Anything: Open-vocabulary Zero-shot OOD Detection Using Text-image Models. CoRR Yunhao Ge, Jie Ren, Jiaping Zhao, Kaifeng Chen, Andrew Gallagher, Laurent Itti, Balaji Lakshminarayanan
2023	A*	`conf`	CLR: Channel-wise Lightweight Reprogramming for Continual Learning. ICCV Yunhao Ge, Yuecheng Li, Shuo Ni, Jiaping Zhao, Ming-Hsuan Yang, Laurent Itti
2023	J	`jnl`	CLR: Channel-wise Lightweight Reprogramming for Continual Learning. CoRR Yunhao Ge, Yuecheng Li, Shuo Ni, Jiaping Zhao, Ming-Hsuan Yang, Laurent Itti
2023	J	`jnl`	DreamDistribution: Prompt Distribution Learning for Text-to-Image Diffusion Models. CoRR Brian Nlong Zhao, Yuhang Xiao, Jiashu Xu, Xinyang Jiang, Yifan Yang, Dongsheng Li, Laurent Itti, Vibhav Vineet, Yunhao Ge
2023	A	`conf`	Encouraging Disentangled and Convex Representation with Controllable Interpolation Regularization. WACV Yunhao Ge, Zhi Xu, Yao Xiao, Gan Xin, Yunkui Pang, Laurent Itti
2023	J	`jnl`	Evaluating Pretrained models for Deployable Lifelong Learning. CoRR Kiran Lekkala, Eshan Bhargava, Laurent Itti
2023	A	`conf`	HOOT: Heavy Occlusions in Object Tracking Benchmark. WACV Gozde Sahin, Laurent Itti
2023	A*	`conf`	Improving Zero-shot Generalization and Robustness of Multi-Modal Models. CVPR Yunhao Ge, Jie Ren, Andrew Gallagher, Yuxiao Wang, Ming-Hsuan Yang, Hartwig Adam, Laurent Itti, Balaji Lakshminarayanan, Jiaping Zhao
2023	J	`jnl`	Invariant Structure Learning for Better Generalization and Causal Explainability. Trans. Mach. Learn. Res. Yunhao Ge, Sercan Ö. Arik, Jinsung Yoon, Ao Xu, Laurent Itti, Tomas Pfister
2023	J	`jnl`	Lightweight Learner for Shared Knowledge Lifelong Learning. CoRR 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
2023	J	`jnl`	Lightweight Learner for Shared Knowledge Lifelong Learning. Trans. Mach. Learn. Res. 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
2023	J	`jnl`	Multi-scale pulmonary nodule classification with deep feature fusion via residual network. J. Ambient Intell. Humaniz. Comput. Guokai Zhang, Dandan Zhu, Xiao Liu, Mingle Chen, Laurent Itti, Ye Luo, Jianwei Lu
2023	B	`conf`	Reproducibility Requires Consolidated Artifacts. CAIN Iordanis Fostiropoulos, Bowman Brown, Laurent Itti
2023	J	`jnl`	Reproducibility Requires Consolidated Artifacts. CoRR Iordanis Fostiropoulos, Bowman Brown, Laurent Itti
2023	A*	`conf`	RoboCLIP: One Demonstration is Enough to Learn Robot Policies. NeurIPS Sumedh Sontakke, Jesse Zhang, Sébastien M. R. Arnold, Karl Pertsch, Erdem Biyik, Dorsa Sadigh, Chelsea Finn, Laurent Itti
2023	J	`jnl`	RoboCLIP: One Demonstration is Enough to Learn Robot Policies. CoRR Sumedh A. Sontakke, Jesse Zhang, Sébastien M. R. Arnold, Karl Pertsch, Erdem Biyik, Dorsa Sadigh, Chelsea Finn, Laurent Itti
2023	J	`jnl`	USC-DCT: A Collection of Diverse Classification Tasks. Data 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
2023	J	`jnl`	Value Explicit Pretraining for Goal-Based Transfer Learning. CoRR Kiran Lekkala, Henghui Bao, Sumedh Sontakke, Laurent Itti
2023	J	`jnl`	World Model Based Sim2Real Transfer for Visual Navigation. CoRR Chen Liu, Kiran Lekkala, Laurent Itti
2022	J	`jnl`	Beneficial Perturbation Network for Designing General Adaptive Artificial Intelligence Systems. IEEE Trans. Neural Networks Learn. Syst. Shixian Wen, Amanda Rios, Yunhao Ge, Laurent Itti
2022	—	`conf`	Contributions of Shape, Texture, and Color in Visual Recognition. ECCV (12) Yunhao Ge, Yao Xiao, Zhi Xu, Xingrui Wang, Laurent Itti
2022	J	`jnl`	Contributions of Shape, Texture, and Color in Visual Recognition. CoRR Yunhao Ge, Yao Xiao, Zhi Xu, Xingrui Wang, Laurent Itti
2022	J	`jnl`	DALL-E for Detection: Language-driven Context Image Synthesis for Object Detection. CoRR Yunhao Ge, Jiashu Xu, Brian Nlong Zhao, Laurent Itti, Vibhav Vineet
2022	J	`jnl`	EM-Paste: EM-guided Cut-Paste with DALL-E Augmentation for Image-level Weakly Supervised Instance Segmentation. CoRR Yunhao Ge, Jiashu Xu, Brian Nlong Zhao, Laurent Itti, Vibhav Vineet
2022	J	`jnl`	Ferroelectric FET based Context-Switching FPGA Enabling Dynamic Reconfiguration for Adaptive Deep Learning Machines. CoRR 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
2022	A	`conf`	GalilAI: Out-of-Task Distribution Detection using Causal Active Experimentation for Safe Transfer RL. AISTATS Sumedh A. Sontakke, Stephen Iota, Zizhao Hu, Arash Mehrjou, Laurent Itti, Bernhard Schölkopf
2022	J	`jnl`	Improving Zero-shot Generalization and Robustness of Multi-modal Models. CoRR Yunhao Ge, Jie Ren, Yuxiao Wang, Andrew Gallagher, Ming-Hsuan Yang, Laurent Itti, Hartwig Adam, Balaji Lakshminarayanan, Jiaping Zhao
2022	J	`jnl`	Invariant Structure Learning for Better Generalization and Causal Explainability. CoRR Yunhao Ge, Sercan Ö. Arik, Jinsung Yoon, Ao Xu, Laurent Itti, Tomas Pfister
2022	J	`jnl`	Model2Detector: Widening the Information Bottleneck for Out-of-Distribution Detection using a Handful of Gradient Steps. CoRR Sumedh A. Sontakke, Buvaneswari Ramanan, Laurent Itti, Thomas Woo
2022	—	`conf`	Neural-Sim: Learning to Generate Training Data with NeRF. ECCV (23) Yunhao Ge, Harkirat S. Behl, Jiashu Xu, Suriya Gunasekar, Neel Joshi, Yale Song, Xin Wang, Laurent Itti, Vibhav Vineet
2022	J	`jnl`	Neural-Sim: Learning to Generate Training Data with NeRF. CoRR Yunhao Ge, Harkirat S. Behl, Jiashu Xu, Suriya Gunasekar, Neel Joshi, Yale Song, Xin Wang, Laurent Itti, Vibhav Vineet
2022	B	`conf`	SHERLock: Self-Supervised Hierarchical Event Representation Learning. ICPR S. Roychowdhury, Sumedh A. Sontakke, Laurent Itti, M. Sarkar, Milan Aggarwal, Pinkesh Badjatiya, Nikaash Puri, Balaji Krishnamurthy
2022	J	`jnl`	Supervised Contrastive Prototype Learning: Augmentation Free Robust Neural Network. CoRR Iordanis Fostiropoulos, Laurent Itti
2022	J	`jnl`	What can we learn from misclassified ImageNet images? CoRR Shixian Wen, Amanda Sofie Rios, Kiran Lekkala, Laurent Itti
2022	—	`conf`	incDFM: Incremental Deep Feature Modeling for Continual Novelty Detection. ECCV (25) Amanda Rios, Nilesh A. Ahuja, Ibrahima J. Ndiour, Ergin Utku Genc, Laurent Itti, Omesh Tickoo
2021	A*	`conf`	A Peek Into the Reasoning of Neural Networks: Interpreting With Structural Visual Concepts. CVPR Yunhao Ge, Yao Xiao, Zhi Xu, Meng Zheng, Srikrishna Karanam, Terrence Chen, Laurent Itti, Ziyan Wu
2021	J	`jnl`	A Peek Into the Reasoning of Neural Networks: Interpreting with Structural Visual Concepts. CoRR Yunhao Ge, Yao Xiao, Zhi Xu, Meng Zheng, Srikrishna Karanam, Terrence Chen, Laurent Itti, Ziyan Wu
2021	A*	`conf`	Causal Curiosity: RL Agents Discovering Self-supervised Experiments for Causal Representation Learning. ICML Sumedh A. Sontakke, Arash Mehrjou, Laurent Itti, Bernhard Schölkopf
2021	J	`jnl`	Encouraging Disentangled and Convex Representation with Controllable Interpolation Regularization. CoRR Yunhao Ge, Zhi Xu, Yao Xiao, Gan Xin, Yunkui Pang, Laurent Itti
2021	J	`jnl`	GalilAI: Out-of-Task Distribution Detection using Causal Active Experimentation for Safe Transfer RL. CoRR Sumedh A. Sontakke, Stephen Iota, Zizhao Hu, Arash Mehrjou, Laurent Itti, Bernhard Schölkopf
2021	B	`conf`	Multi-Task Occlusion Learning for Real-Time Visual Object Tracking. ICIP Gozde Sahin, Laurent Itti
2021	A*	`conf`	Shaped Policy Search for Evolutionary Strategies using Waypoints ICRA Kiran Lekkala, Laurent Itti
2021	J	`jnl`	Shaped Policy Search for Evolutionary Strategies using Waypoints. CoRR Kiran Lekkala, Laurent Itti
2021	J	`jnl`	Video2Skill: Adapting Events in Demonstration Videos to Skills in an Environment using Cyclic MDP Homomorphisms. CoRR Sumedh A. Sontakke, Sumegh Roychowdhury, Mausoom Sarkar, Nikaash Puri, Balaji Krishnamurthy, Laurent Itti
2021	A*	`conf`	Zero-shot Synthesis with Group-Supervised Learning. ICLR Yunhao Ge, Sami Abu-El-Haija, Gan Xin, Laurent Itti
2020	J	`jnl`	Attentive Feature Reuse for Multi Task Meta learning. CoRR Kiran Lekkala, Laurent Itti
2020	J	`jnl`	Beneficial Perturbation Network for designing general adaptive artificial intelligence systems. CoRR Shixian Wen, Amanda Rios, Yunhao Ge, Laurent Itti
2020	J	`jnl`	Beneficial Perturbations Network for Defending Adversarial Examples. CoRR Shixian Wen, Laurent Itti
2020	J	`jnl`	Causal Curiosity: RL Agents Discovering Self-supervised Experiments for Causal Representation Learning. CoRR Sumedh A. Sontakke, Arash Mehrjou, Laurent Itti, Bernhard Schölkopf
2020	J	`jnl`	Learning visual variation for object recognition. Image Vis. Comput. Jatuporn Toy Leksut, Jiaping Zhao, Laurent Itti
2020	B	`conf`	Lifelong Learning Without a Task Oracle. ICTAI Amanda Rios, Laurent Itti
2020	J	`jnl`	Lifelong Learning Without a Task Oracle. CoRR Amanda Rios, Laurent Itti
2020	—	`conf`	Pose Augmentation: Class-Agnostic Object Pose Transformation for Object Recognition. ECCV (28) Yunhao Ge, Jiaping Zhao, Laurent Itti
2020	J	`jnl`	Pose Augmentation: Class-agnostic Object Pose Transformation for Object Recognition. CoRR Yunhao Ge, Jiaping Zhao, Laurent Itti
2020	J	`jnl`	Unsupervised Hierarchical Concept Learning. CoRR Sumegh Roychowdhury, Sumedh A. Sontakke, Nikaash Puri, Mausoom Sarkar, Milan Aggarwal, Pinkesh Badjatiya, Balaji Krishnamurthy, Laurent Itti
2020	J	`jnl`	Zero-shot Synthesis with Group-Supervised Learning. CoRR Yunhao Ge, Sami Abu-El-Haija, Gan Xin, Laurent Itti
2019	J	`jnl`	Adversarial Training: embedding adversarial perturbations into the parameter space of a neural network to build a robust system. CoRR Shixian Wen, Laurent Itti
2019	J	`jnl`	Beneficial perturbation network for continual learning. CoRR Shixian Wen, Laurent Itti
2019	A*	`conf`	Closed-Loop Memory GAN for Continual Learning. IJCAI Amanda Rios, Laurent Itti
2019	J	`jnl`	Efficient Velodyne SLAM with point and plane features. Auton. Robots W. Shane Grant, Randolph C. Voorhies, Laurent Itti
2019	A	`conf`	Inertial-based Motion Capturing and Smart Training System. IROS Jens Windau, Laurent Itti
2019	J	`jnl`	Learning Causal State Representations of Partially Observable Environments. CoRR Amy Zhang, Zachary C. Lipton, Luis Pineda, Kamyar Azizzadenesheli, Anima Anandkumar, Laurent Itti, Joelle Pineau, Tommaso Furlanello
2019	J	`jnl`	Learning Invariant Features in Modulatory Networks through Conflict and Ambiguity. Neural Comput. W. Shane Grant, Laurent Itti
2019	—	`conf`	Lessons from neuroscience. WWW (Companion Volume) Laurent Itti
2019	J	`jnl`	Meta Adaptation using Importance Weighted Demonstrations. CoRR Kiran Lekkala, Sami Abu-El-Haija, Laurent Itti
2019	B	`conf`	Surprise! Predicting Infant Visual Attention in a Socially Assistive Robot Contingent Learning Paradigm. RO-MAN Lauren Klein, Laurent Itti, Beth A. Smith, Marcelo R. Rosales, Stefanos Nikolaidis, Maja J. Mataric
2019	J	`jnl`	Vision-Based Autonomous Path Following Using a Human Driver Control Model With Reliable Input-Feature Value Estimation. IEEE Trans. Intell. Veh. Kazuhide Okamoto, Laurent Itti, Panagiotis Tsiotras
2018	J	`jnl`	Born Again Neural Networks. CoRR Tommaso Furlanello, Zachary C. Lipton, Michael Tschannen, Laurent Itti, Anima Anandkumar
2018	A*	`conf`	Born-Again Neural Networks. ICML Tommaso Furlanello, Zachary Chase Lipton, Michael Tschannen, Laurent Itti, Anima Anandkumar
2018	J	`jnl`	Closed-Loop GAN for continual Learning. CoRR Amanda Rios, Laurent Itti
2018	A*	`conf`	DeepVP: Deep Learning for Vanishing Point Detection on 1 Million Street View Images. ICRA Chin-Kai Chang, Jiaping Zhao, Laurent Itti
2018	A*	`conf`	Inertial Machine Monitoring System for Automated Failure Detection. ICRA Jens Windau, Laurent Itti
2018	J	`jnl`	Multi-Scale Adversarial Feature Learning for Saliency Detection. Symmetry Dandan Zhu, Lei Dai, Ye Luo, Guokai Zhang, Xuan Shao, Laurent Itti, Jianwei Lu
2018	J	`jnl`	Overcoming catastrophic forgetting problem by weight consolidation and long-term memory. CoRR Shixian Wen, Laurent Itti
2018	J	`jnl`	Salient object detection via a local and global method based on deep residual network. J. Vis. Commun. Image Represent. Dandan Zhu, Ye Luo, Lei Dai, Xuan Shao, Qiangqiang Zhou, Laurent Itti, Jianwei Lu
2018	J	`jnl`	shapeDTW: Shape Dynamic Time Warping. Pattern Recognit. Jiaping Zhao, Laurent Itti
2017	J	`jnl`	Biologically plausible learning in neural networks with modulatory feedback. Neural Networks W. Shane Grant, James Tanner, Laurent Itti
2017	—	`conf`	Deep Salient Object Detection via Hierarchical Network Learning. ICONIP (3) Dandan Zhu, Ye Luo, Lei Dai, Xuan Shao, Laurent Itti, Jianwei Lu
2017	J	`jnl`	Image salient object detection with refined deep features via convolution neural network. J. Electronic Imaging Dandan Zhu, Lei Dai, Xuan Shao, Qiangqiang Zhou, Laurent Itti, Ye Luo, Jianwei Lu
2017	A	`conf`	Improved Deep Learning of Object Category Using Pose Information. WACV Jiaping Zhao, Laurent Itti
2017	A	`conf`	Learning to Recognize Objects by Retaining Other Factors of Variation. WACV Jiaping Zhao, Chin-Kai Chang, Laurent Itti
2017	B	`conf`	Saliency prediction based on new deep multi-layer convolution neural network. ICIP Dandan Zhu, Ye Luo, Xuan Shao, Laurent Itti, Jianwei Lu
2017	—	`conf`	Scanpath Prediction Based on High-Level Features and Memory Bias. ICONIP (3) Xuan Shao, Ye Luo, Dandan Zhu, Shuqin Li, Laurent Itti, Jianwei Lu
2017	J	`jnl`	Third Eye: A Shopping Assistant for the Visually Impaired. Computer Peter A. Zientara, Sooyeon Lee, Gus Henry Smith, Rorry Brenner, Laurent Itti, Mary Beth Rosson, John M. Carroll, Kevin M. Irick, Vijaykrishnan Narayanan
2016	J	`jnl`	Active Long Term Memory Networks. CoRR Tommaso Furlanello, Jiaping Zhao, Andrew M. Saxe, Laurent Itti, Bosco S. Tjan
2016	J	`jnl`	Classifying Time Series Using Local Descriptors with Hybrid Sampling. IEEE Trans. Knowl. Data Eng. Jiaping Zhao, Laurent Itti
2016	A	`conf`	Decomposing time series with application to temporal segmentation. WACV Jiaping Zhao, Laurent Itti
2016	J	`jnl`	Detecting "Smart" Spammers On Social Network: A Topic Model Approach. CoRR Linqing Liu, Yao Lu, Ye Luo, Renxian Zhang, Laurent Itti, Jianwei Lu
2016	—	`conf`	Detecting "Smart" Spammers on Social Network: A Topic Model Approach. SRW@HLT-NAACL Linqing Liu, Yao Lu, Ye Luo, Renxian Zhang, Laurent Itti, Jianwei Lu
2016	J	`jnl`	Improved Deep Learning of Object Category using Pose Information. CoRR Jiaping Zhao, Laurent Itti
2016	J	`jnl`	Learning a Combined Model of Visual Saliency for Fixation Prediction. IEEE Trans. Image Process. Jingwei Wang, Ali Borji, C.-C. Jay Kuo, Laurent Itti
2016	J	`jnl`	Learning to Recognize Objects by Retaining other Factors of Variation. CoRR Jiaping Zhao, Chin-Kai Chang, Laurent Itti
2016	—	`conf`	Perfect Accuracy with Human-in-the-Loop Object Detection. ECCV Workshops (2) Rorry Brenner, Jay Priyadarshi, Laurent Itti
2016	A*	`conf`	Walking compass with head-mounted IMU sensor. ICRA Jens Windau, Laurent Itti
2016	A*	`conf`	iLab-20M: A Large-Scale Controlled Object Dataset to Investigate Deep Learning. CVPR Ali Borji, Saeed Izadi, Laurent Itti
2016	J	`jnl`	metricDTW: local distance metric learning in Dynamic Time Warping. CoRR Jiaping Zhao, Zerong Xi, Laurent Itti
2016	J	`jnl`	shapeDTW: shape Dynamic Time Warping. CoRR Jiaping Zhao, Laurent Itti
2015	J	`jnl`	BIK-BUS: Biologically Motivated 3D Keypoint Based on Bottom-Up Saliency. IEEE Trans. Image Process. Sílvio Filipe, Laurent Itti, Luís A. Alexandre
2015	J	`jnl`	CAT2000: A Large Scale Fixation Dataset for Boosting Saliency Research. CoRR Ali Borji, Laurent Itti
2015	J	`jnl`	Computational models of attention. CoRR Laurent Itti, Ali Borji
2015	J	`jnl`	Computational models: Bottom-up and top-down aspects. CoRR Laurent Itti, Ali Borji
2015	A*	`conf`	Fixation bank: Learning to reweight fixation candidates. CVPR Jiaping Zhao, Christian Siagian, Laurent Itti
2015	—	`ch.`	Mining Videos for Features that Drive Attention. Multimedia Data Mining and Analytics Farhan Baluch, Laurent Itti
2015	J	`jnl`	What can we learn about CNNs from a large scale controlled object dataset? CoRR Ali Borji, Saeed Izadi, Laurent Itti
2014	—	`conf`	A System for Assisting the Visually Impaired in Localization and Grasp of Desired Objects. ECCV Workshops (3) Kaveri A. Thakoor, Nii Mante, Carey Zhang, Christian Siagian, James D. Weiland, Laurent Itti, Gérard G. Medioni
2014	—	`conf`	Attention-aware rendering, mobile graphics and games. SIGGRAPH Courses Ann McNamara, Katerina Mania, George Alex Koulieris, Laurent Itti
2014	J	`jnl`	Autonomous Mobile Robot Localization and Navigation Using a Hierarchical Map Representation Primarily Guided by Vision. J. Field Robotics Christian Siagian, Chin-Kai Chang, Laurent Itti
2014	A*	`conf`	Human vs. Computer in Scene and Object Recognition. CVPR Ali Borji, Laurent Itti
2014	B	`conf`	Integrating human context and occlusion reasoning to improve handheld object tracking. ICIP Daniel F. Parks, Laurent Itti
2014	J	`jnl`	Optimal attentional modulation of a neural population. Frontiers Comput. Neurosci. Ali Borji, Laurent Itti
2014	B	`conf`	Performance Evaluation of Neuromorphic-Vision Object Recognition Algorithms. ICPR 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, Deepak Khosla, Yang Chen, Kyungnam Kim, Lior Elazary, Randolph C. Voorhies, Daniel F. Parks, Laurent Itti
2014	J	`jnl`	What/Where to Look Next? Modeling Top-Down Visual Attention in Complex Interactive Environments. IEEE Trans. Syst. Man Cybern. Syst. Ali Borji, Dicky N. Sihite, Laurent Itti
2013	J	`jnl`	6th International Symposium on Attention in Cognitive Systems 2013. CoRR Lucas Paletta, Laurent Itti, Björn W. Schuller, Fang Fang
2013	A*	`conf`	Analysis of Scores, Datasets, and Models in Visual Saliency Prediction. ICCV Ali Borji, Hamed Rezazadegan Tavakoli, Dicky N. Sihite, Laurent Itti
2013	—	`conf`	Attention biased speeded up robust featureS (AB-SURF): A neurally-inspired object recognition algorithm for a wearable aid for the visually-impaired. ICME Workshops Kaveri A. Thakoor, Sophie Marat, Patrick J. Nasiatka, Ben P. McIntosh, Furkan E. Sahin, Armand R. Tanguay, James D. Weiland, Laurent Itti
2013	—	`conf`	Bayesian optimization explains human active search. NIPS Ali Borji, Laurent Itti
2013	A	`conf`	Beobot 2.0: Autonomous mobile robot localization and navigation in outdoor pedestrian environment. IROS Chin-Kai Chang, Christian Siagian, Laurent Itti
2013	J	`jnl`	Competitive Integration of Visual and Goal-related Signals on Neuronal Accumulation Rate: A Correlate of Oculomotor Capture in the Superior Colliculus. J. Cogn. Neurosci. Brian J. White, Robert A. Marino, Susan E. Boehnke, Laurent Itti, Jan Theeuwes, Douglas P. Munoz
2013	C	`conf`	Deep Learning on Natural Viewing Behaviors to Differentiate Children with Fetal Alcohol Spectrum Disorder. IDEAL Po-He Tseng, Angelina Paolozza, Douglas P. Munoz, James N. Reynolds, Laurent Itti
2013	A	`conf`	Finding planes in LiDAR point clouds for real-time registration. IROS W. Shane Grant, Randolph Voorhies, Laurent Itti
2013	A*	`conf`	Mobile robot navigation system in outdoor pedestrian environment using vision-based road recognition. ICRA Christian Siagian, Chin-Kai Chang, Laurent Itti
2013	J	`jnl`	Quantitative Analysis of Human-Model Agreement in Visual Saliency Modeling: A Comparative Study. IEEE Trans. Image Process. Ali Borji, Dicky N. Sihite, Laurent Itti
2013	B	`conf`	Schema-Driven, Space-Supported Random Accessible Memory Systems for Manipulation of Symbolic Working Memory. CogSci Nader Noori, Laurent Itti
2013	A	`conf`	Situation awareness via sensor-equipped eyeglasses. IROS Jens Windau, Laurent Itti
2013	J	`jnl`	State-of-the-Art in Visual Attention Modeling. IEEE Trans. Pattern Anal. Mach. Intell. Ali Borji, Laurent Itti
2013	B	`conf`	Traces of Intellectual Working Memory Tasks on Visuospatial Short-Term Memory. CogSci Nader Noori, Laurent Itti
2013	B	`conf`	Where What You Count is What Really Counts. CogSci Nader Noori, Laurent Itti
2012	—	`conf`	A portable system for recording neural activity in indoor and outdoor environments. EMBC Farhan Baluch, Laurent Itti
2012	—	`conf`	Adaptive object tracking by learning background context. CVPR Workshops Ali Borji, Simone Frintrop, Dicky N. Sihite, Laurent Itti
2012	A*	`conf`	An Object-Based Bayesian Framework for Top-Down Visual Attention. AAAI Ali Borji, Dicky N. Sihite, Laurent Itti
2012	A*	`conf`	Exploiting local and global patch rarities for saliency detection. CVPR Ali Borji, Laurent Itti
2012	A	`conf`	Mobile robot monocular vision navigation based on road region and boundary estimation. IROS Chin-Kai Chang, Christian Siagian, Laurent Itti
2012	A*	`conf`	Modeling the influence of action on spatial attention in visual interactive environments. ICRA Ali Borji, Dicky N. Sihite, Laurent Itti
2012	B	`conf`	Neuromorphic Bayesian Surprise for Far-Range Event Detection. AVSS Randolph Voorhies, Lior Elazary, Laurent Itti
2012	A*	`conf`	Probabilistic learning of task-specific visual attention. CVPR Ali Borji, Dicky N. Sihite, Laurent Itti
2012	B	`conf`	Saliency mapping enhanced by symmetry from local phase. ICIP W. Shane Grant, Laurent Itti
2012	—	`conf`	Salient Object Detection: A Benchmark. ECCV (2) Ali Borji, Dicky N. Sihite, Laurent Itti
2011	J	`jnl`	Beobot 2.0: Cluster architecture for mobile robotics. J. Field Robotics Christian Siagian, Chin-Kai Chang, Randolph Voorhies, Laurent Itti
2011	A	`conf`	Computational Modeling of Top-down Visual Attention in Interactive Environments. BMVC Ali Borji, Dicky N. Sihite, Laurent Itti
2011	B	`conf`	Modeling forward and backward serial recall using a spatial registry assumption. CogSci Nader Noori, Laurent Itti
2011	A	`conf`	Multilayer real-time video image stabilization. IROS Jens Windau, Laurent Itti
2011	J	`jnl`	Saliency and Gist Features for Target Detection in Satellite Images. IEEE Trans. Image Process. Zhicheng Li, Laurent Itti
2011	A*	`conf`	Scene classification with a sparse set of salient regions. ICRA Ali Borji, Laurent Itti
2011	B	`conf`	Spatial Registry Model : Towards a Grounded Account for Executive Attention. CogSci Nader Noori, Laurent Itti
2011	J	`jnl`	Visual attention guided bit allocation in video compression. Image Vis. Comput. Zhicheng Li, Shiyin Qin, Laurent Itti
2010	A	`conf`	Mobile robot vision navigation & localization using Gist and Saliency. IROS Chin-Kai Chang, Christian Siagian, Laurent Itti
2010	J	`jnl`	Of bits and wows: A Bayesian theory of surprise with applications to attention. Neural Networks Pierre Baldi, Laurent Itti
2009	J	`jnl`	Biologically Inspired Mobile Robot Vision Localization. IEEE Trans. Robotics Christian Siagian, Laurent Itti
2009	A	`conf`	Centralized server environment for educational robotics. IROS Randolph Voorhies, Christian Siagian, Lior Elazary, Laurent Itti
2008	J	`jnl`	Applying computational tools to predict gaze direction in interactive visual environments. ACM Trans. Appl. Percept. Robert J. Peters, Laurent Itti
2008	A*	`conf`	Storing and recalling information for vision localization. ICRA Christian Siagian, Laurent Itti
2007	A*	`conf`	Beyond bottom-up: Incorporating task-dependent influences into a computational model of spatial attention. CVPR Robert J. Peters, Laurent Itti
2007	A	`conf`	Biologically-inspired robotics vision monte-carlo localization in the outdoor environment. IROS Christian Siagian, Laurent Itti
2007	—	`conf`	Congruence between model and human attention reveals unique signatures of critical visual events. NIPS Robert J. Peters, Laurent Itti
2007	J	`jnl`	Rapid Biologically-Inspired Scene Classification Using Features Shared with Visual Attention. IEEE Trans. Pattern Anal. Mach. Intell. Christian Siagian, Laurent Itti
2007	J	`jnl`	Visual salience. Scholarpedia Laurent Itti
2006	—	`conf`	An Integrated Model of Top-Down and Bottom-Up Attention for Optimizing Detection Speed. CVPR (2) Vidhya Navalpakkam, Laurent Itti
2006	B	`conf`	Causal saliency effects during natural vision. ETRA Ran Carmi, Laurent Itti
2006	—	`conf`	Combining bottom-up and top-down attentional influences. Human Vision and Electronic Imaging Vidhya Navalpakkam, Laurent Itti
2006	B	`conf`	Computational mechanisms for gaze direction in interactive visual environments. ETRA Robert J. Peters, Laurent Itti
2006	A	`conf`	Photorealistic Attention-Based Gaze Animation. ICME Laurent Itti, Nitin Dhavale, Frédéric H. Pighin
2006	J	`jnl`	The use of attention and spatial information for rapid facial recognition in video. Image Vis. Comput. James Bonaiuto, Laurent Itti
2005	—	`conf`	A Principled Approach to Detecting Surprising Events in Video. CVPR (1) Laurent Itti, Pierre Baldi
2005	—	`conf`	Bayesian Surprise Attracts Human Attention. NIPS Laurent Itti, Pierre Baldi
2005	—	`conf`	Combining attention and recognition for rapid scene analysis. CVPR Workshops James Bonaiuto, Laurent Itti
2005	J	`jnl`	Computational modeling and exploration of contour integration for visual saliency. Biol. Cybern. T. Nathan Mundhenk, Laurent Itti
2005	—	`conf`	Gist: A Mobile Robotics Application of Context-Based Vision in Outdoor Environment. CVPR Workshops Christian Siagian, Laurent Itti
2005	—	`conf`	Optimal cue selection strategy. NIPS Vidhya Navalpakkam, Laurent Itti
2005	J	`jnl`	Robot steering with spectral image information. IEEE Trans. Robotics Christopher Ackerman, Laurent Itti
2004	—	`conf`	Automatic attention-based prioritization of unconstrained video for compression. Human Vision and Electronic Imaging Laurent Itti
2004	J	`jnl`	Automatic foveation for video compression using a neurobiological model of visual attention. IEEE Trans. Image Process. Laurent Itti
2004	—	`conf`	Biologically inspired feature-based categorization of objects. Human Vision and Electronic Imaging T. Nathan Mundhenk, Vidhya Navalpakkam, Hendrik Makaliwe, Shrihari Vasudevan, Laurent Itti
2004	—	`conf`	Biologically-Inspired Face Detection: Non-Brute-Force-Search Approach. CVPR Workshops Christian Siagian, Laurent Itti
2003	J	`jnl`	CINNIC, a new computational algorithm for the modeling of early visual contour integration in humans. Neurocomputing T. Nathan Mundhenk, Laurent Itti
2003	—	`conf`	Saliency-based multifoveated MPEG compression. ISSPA (1) Nitin Dhavale, Laurent Itti
2002	—	`conf`	A Goal Oriented Attention Guidance Model. Biologically Motivated Computer Vision Vidhya Navalpakkam, Laurent Itti
2002	—	`conf`	A Model of Contour Integration in Early Visual Cortex. Biologically Motivated Computer Vision T. Nathan Mundhenk, Laurent Itti
2002	—	`conf`	A New Robotics Platform for Neuromorphic Vision: Beobots. Biologically Motivated Computer Vision 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
2002	—	`conf`	Attentional Selection for Object Recognition - A Gentle Way. Biologically Motivated Computer Vision Dirk B. Walther, Laurent Itti, Maximilian Riesenhuber, Tomaso A. Poggio, Christof Koch
2002	—	`conf`	Real-time high-performance attention focusing in outdoors color video streams. Human Vision and Electronic Imaging Laurent Itti
2001	J	`jnl`	Feature combination strategies for saliency-based visual attention systems. J. Electronic Imaging Laurent Itti, Christof Koch
2001	—	`conf`	Modeling the Modulatory Effect of Attention on Human Spatial Vision. NIPS Laurent Itti, Jochen Braun, Christof Koch
1999	J	`jnl`	A quantitative model relating visual neuronal activity to psychophysical thresholds. Neurocomputing Laurent Itti, Christof Koch, Jochen Braun
1999	—	`conf`	Comparison of feature combination strategies for saliency-based visual attention systems. Human Vision and Electronic Imaging Laurent Itti, Christof Koch
1998	J	`jnl`	A Model of Saliency-Based Visual Attention for Rapid Scene Analysis. IEEE Trans. Pattern Anal. Mach. Intell. Laurent Itti, Christof Koch, Ernst Niebur
1998	—	`conf`	Attentional Modulation of Human Pattern Discrimination Psychophysics Reproduced by a Quantitative Model. NIPS Laurent Itti, Jochen Braun, Dale K. Lee, Christof Koch
1997	—	`conf`	A Model of Early Visual Processing. NIPS Laurent Itti, Jochen Braun, Dale K. Lee, Christof Koch