Laurent Itti

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

Achievements

+14 more ↓

🌍 Conference Polyglot (11) 🧭 Keyword Pioneer 🌈 Renaissance Researcher (5) 🌉 Interdisciplinary Bridge 🏃 Academic Marathon (18)

🐝 Cross-Pollinator (9) 🧭 Keyword Pioneer 🏃 Academic Marathon (18) 🌟 Keyword Trendsetter Combo (5) 🤝 Dynamic Duo (11) 👥 Mega-Team (23) 🧬 Topic Evolution 🏆 Keyword Champion 🚀 Conference Pioneer ⚡ Prolific Year (8) 💎 Century Club (29) 🔥 Unstoppable (8) 🗃️ Keyword Collector (129) 📈 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 Schölkopf (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 “Smart” 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