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Amir Zamir

21 papers · 2019–2025 · 8 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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+6 more ↓ 🗺️ Taxonomy Completionist (41) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Gold 🐣 Hot Topic Early Bird
🧬 Topic Evolution ⚡ Prolific Year · Productive 🔥 Unstoppable · Bronze ❓ The Questioner (2) 💎 Century Club · Bronze 🗃️ Keyword Collector (81)

Venues

ECCV (5) NeurIPS (4) ICCV (3) CoRL (2) CVPR (2) ICLR (2) ICML (2) IJCAI (1)

Top co-authors

Oğuzhan Fatih Kar (7) Andrei Atanov (6) Jitendra Malik (6) Teresa Yeo (6) Roman Bachmann (6) Alexander Sax (5) Leonidas Guibas (4) David Mizrahi (4) Silvio Savarese (4) Afshin Dehghan (3)

Research topics

Machine Learning (11) Artificial Intelligence (8) Computer Vision (8) Deep Learning (6) Core AI (6) Learning Types (5) Analysis (4) Application Areas (4) Architectures (4) Reinforcement Learning (3) Robotics (3) Applications (3) Core Methods (3) Generation (3) Learning Paradigms (3)

Keywords

representation learning (3) domain generalization (3) reinforcement learning (3) multi-task learning (2) neural network (2) distribution shift (2) latent space (2) mid-level vision (2) multimodal learning (2) foundation model (2) computer vision (1) pose estimation (1) transfer learning (1) model robustness (1) image segmentation (1) sample complexity (1) robot navigation (1) autoregressive generation (1) image generation (1) in-context learning (1)

Papers

FlexTok: Resampling Images into 1D Token Sequences of Flexible Length ICML 2025 Large (Vision) Language Models are Unsupervised In-Context Learners ICLR 2025 4M-21: An Any-to-Any Vision Model for Tens of Tasks and Modalities NeurIPS 2024 BRAVE: Broadening the visual encoding of vision-language models ECCV 2024 How Far Can a 1-Pixel Camera Go? Solving Vision Tasks using Photoreceptors and Computationally Designed Visual Morphology ECCV 2024 Unraveling the Key Components of OOD Generalization via Diversification ICLR 2024 ViPer: Visual Personalization of Generative Models via Individual Preference Learning ECCV 2024 4M: Massively Multimodal Masked Modeling NeurIPS 2023 Modality-Invariant Visual Odometry for Embodied Vision CVPR 2023 Rapid Network Adaptation: Learning to Adapt Neural Networks Using Test-Time Feedback ICCV 2023 3D Common Corruptions and Data Augmentation CVPR 2022 MultiMAE: Multi-modal Multi-task Masked Autoencoders ECCV 2022 PALMER: Perception - Action Loop with Memory for Long-Horizon Planning NeurIPS 2022 Task Discovery: Finding the Tasks that Neural Networks Generalize on NeurIPS 2022 Omnidata: A Scalable Pipeline for Making Multi-Task Mid-Level Vision Datasets From 3D Scans ICCV 2021 Robustness via Cross-Domain Ensembles ICCV 2021 Robust Policies via Mid-Level Visual Representations: An Experimental Study in Manipulation and Navigation CoRL 2020 Side-Tuning: A Baseline for Network Adaptation via Additive Side Networks ECCV 2020 Which Tasks Should Be Learned Together in Multi-task Learning? ICML 2020 Learning to Navigate Using Mid-Level Visual Priors CoRL 2019 Taskonomy: Disentangling Task Transfer Learning IJCAI 2019