← Authors

Laurent Itti

29 papers · 2007–2025 · 11 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (11) 🐣 Hot Topic Early Bird πŸ—ΊοΈ Taxonomy Completionist (74) 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge 🐝 Cross-Pollinator (9) 🧭 Keyword Pioneer πŸƒ Academic Marathon (18) 🌟 Keyword Trendsetter Combo (5) 🀝 Dynamic Duo (11) πŸ‘₯ Mega-Team (23) 🧬 Topic Evolution πŸ† Keyword Champion πŸš€ Conference Pioneer ⚑ Prolific Year (8) πŸ’Ž Century Club (29) πŸ”₯ Unstoppable (8) πŸ—ƒοΈ Keyword Collector (129) πŸ“ˆ Trend Setter

Conferences

CVPR (7) NIPS (5) ECCV (4) ICCV (3) ICLR (2) ICML (2) WACV (2) AISTATS (1) AUTOML (1) IJCAI (1) NAACL (1)

Top co-authors

Yunhao Ge (11) Ali Borji (4) Jiaping Zhao (4) Yao Xiao (3) Zhi Xu (3) Jiashu Xu (3) Bernhard SchΓΆlkopf (2) Iordanis Fostiropoulos (2) Jiajun Wu (2) Hong-Xing Yu (2)

Keywords

image classification (3) knowledge distillation (3) continual learning (3) convolutional neural network (3) neural network (2) reinforcement learning (2) object recognition (2) visual attention (2) benchmark dataset (2) causal inference (2) zero-shot learning (2) catastrophic forgetting (2) model evaluation (2) transfer learning (2) eye tracking (2) fixation prediction (2) scene understanding (2) domain adaptation (1) imitation learning (1) concept-based explanation (1)

Papers

Riemannian-Geometric Fingerprints of Generative Models ICCV 2025
DreamDistribution: Learning Prompt Distribution for Diverse In-distribution Generation ICLR 2025
BEHAVIOR Vision Suite: Customizable Dataset Generation via Simulation CVPR 2024
USCILab3D: A Large-scale, Long-term, Semantically Annotated Outdoor Dataset NIPS 2024
ABLATOR: Robust Horizontal-Scaling of Machine Learning Ablation Experiments AUTOML 2023
HOOT: Heavy Occlusions in Object Tracking Benchmark WACV 2023
3D Copy-Paste: Physically Plausible Object Insertion for Monocular 3D Detection NIPS 2023
RoboCLIP: One Demonstration is Enough to Learn Robot Policies NIPS 2023
CLR: Channel-wise Lightweight Reprogramming for Continual Learning ICCV 2023
Improving Zero-Shot Generalization and Robustness of Multi-Modal Models CVPR 2023
Batch Model Consolidation: A Multi-Task Model Consolidation Framework CVPR 2023
Encouraging Disentangled and Convex Representation With Controllable Interpolation Regularization WACV 2023
"Contributions of Shape, Texture, and Color in Visual Recognition" ECCV 2022
GalilAI: Out-of-Task Distribution Detection using Causal Active Experimentation for Safe Transfer RL AISTATS 2022
Neural-Sim: Learning to Generate Training Data with NeRF ECCV 2022
incDFM: Incremental Deep Feature Modeling for Continual Novelty Detection ECCV 2022
Causal Curiosity: RL Agents Discovering Self-supervised Experiments for Causal Representation Learning ICML 2021
Zero-shot Synthesis with Group-Supervised Learning ICLR 2021
A Peek Into the Reasoning of Neural Networks: Interpreting With Structural Visual Concepts CVPR 2021
Pose Augmentation: Class-agnostic Object Pose Transformation for Object Recognition ECCV 2020
Closed-Loop Memory GAN for Continual Learning IJCAI 2019
Born Again Neural Networks ICML 2018
Detecting β€œSmart” Spammers on Social Network: A Topic Model Approach NAACL 2016
iLab-20M: A Large-Scale Controlled Object Dataset to Investigate Deep Learning CVPR 2016
Fixation Bank: Learning to Reweight Fixation Candidates CVPR 2015
Human vs. Computer in Scene and Object Recognition CVPR 2014
Bayesian optimization explains human active search NIPS 2013
Analysis of Scores, Datasets, and Models in Visual Saliency Prediction ICCV 2013
Congruence between model and human attention reveals unique signatures of critical visual events NIPS 2007