Amir Zamir
21 papers · 2019–2025 · 8 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (6) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (8) π Cross-Pollinator (13)
π
Conference Polyglot
(8)
π
Academic Marathon
(6)
π§
Keyword Pioneer
π§¬
Topic Evolution
π₯
Unstoppable
(7)
β‘
Prolific Year
(5)
π
Century Club
(21)
β
The Questioner
(2)
ποΈ
Keyword Collector
(69)
Conferences
ECCV (5)
NIPS (4)
ICCV (3)
CORL (2)
CVPR (2)
ICLR (2)
ICML (2)
IJCAI (1)
Top co-authors
Keywords
reinforcement learning
(3)
representation learning
(3)
latent space
(2)
domain generalization
(2)
multi-task learning
(2)
distribution shift
(2)
mid-level vision
(2)
neural network
(2)
multimodal learning
(2)
adversarial robustness
(1)
computer vision
(1)
pose estimation
(1)
model robustness
(1)
data augmentation
(1)
contrastive learning
(1)
transfer learning
(1)
surface normal estimation
(1)
robot navigation
(1)
test-time adaptation
(1)
depth estimation
(1)
Papers
Large (Vision) Language Models are Unsupervised In-Context Learners
ICLR 2025
FlexTok: Resampling Images into 1D Token Sequences of Flexible Length
ICML 2025
How Far Can a 1-Pixel Camera Go? Solving Vision Tasks using Photoreceptors and Computationally Designed Visual Morphology
ECCV 2024
4M-21: An Any-to-Any Vision Model for Tens of Tasks and Modalities
NIPS 2024
ViPer: Visual Personalization of Generative Models via Individual Preference Learning
ECCV 2024
Unraveling the Key Components of OOD Generalization via Diversification
ICLR 2024
BRAVE: Broadening the visual encoding of vision-language models
ECCV 2024
Modality-Invariant Visual Odometry for Embodied Vision
CVPR 2023
Rapid Network Adaptation: Learning to Adapt Neural Networks Using Test-Time Feedback
ICCV 2023
4M: Massively Multimodal Masked Modeling
NIPS 2023
Task Discovery: Finding the Tasks that Neural Networks Generalize on
NIPS 2022
PALMER: Perception - Action Loop with Memory for Long-Horizon Planning
NIPS 2022
3D Common Corruptions and Data Augmentation
CVPR 2022
MultiMAE: Multi-modal Multi-task Masked Autoencoders
ECCV 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
Side-Tuning: A Baseline for Network Adaptation via Additive Side Networks
ECCV 2020
Robust Policies via Mid-Level Visual Representations: An Experimental Study in Manipulation and Navigation
CORL 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