Accurate Image Localization Based on Google Maps Street View. - Amir Roshan Zamir; Mubarak Shah (ECCV (4), 2010)

Street View Challenge: Identification of Commercial Entities in Street View Imagery. - Amir Roshan Zamir; Alexander Darino; Mubarak Shah (ICMLA (2), 2011)

City scale geo-spatial trajectory estimation of a moving camera. - Gonzalo Vaca-Castano; Amir Roshan Zamir; Mubarak Shah (CVPR, 2012)

GMCP-Tracker: Global Multi-object Tracking Using Generalized Minimum Clique Graphs. - Amir Roshan Zamir; Afshin Dehghan; Mubarak Shah (ECCV (2), 2012)

UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild - Khurram Soomro; Amir Roshan Zamir; Mubarak Shah (CoRR, 2012)

Visual business recognition: a multimodal approach. - Amir Roshan Zamir; Afshin Dehghan; Mubarak Shah (ACM Multimedia, 2013)

Video Classification Using Semantic Concept Co-occurrences. - Shayan Modiri Assari; Amir Roshan Zamir; Mubarak Shah (CVPR, 2014)

GPS-Tag Refinement Using Random Walks with an Adaptive Damping Factor. - Amir Roshan Zamir; Shervin Ardeshir; Mubarak Shah (CVPR, 2014)

GIS-Assisted Object Detection and Geospatial Localization. - Shervin Ardeshir; Amir Roshan Zamir; Alejandro Torroella; Mubarak Shah (ECCV (6), 2014)

DaMN - Discriminative and Mutually Nearest: Exploiting Pairwise Category Proximity for Video Action Recognition. - Rui Hou 008; Amir Roshan Zamir; Rahul Sukthankar; Mubarak Shah (ECCV (3), 2014)

Image Geo-Localization Based on MultipleNearest Neighbor Feature Matching UsingGeneralized Graphs. - Amir Roshan Zamir; Mubarak Shah (IEEE Trans. Pattern Anal. Mach. Intell., 2014)

Action Recognition by Hierarchical Mid-Level Action Elements. - Tian Lan 006; Yuke Zhu; Amir Roshan Zamir; Silvio Savarese (ICCV, 2015)

Unsupervised Semantic Parsing of Video Collections. - Ozan Sener; Amir R. Zamir; Silvio Savarese; Ashutosh Saxena (ICCV, 2015)

Semantic Cross-View Matching. - Francesco Castaldo; Amir Zamir; Roland Angst; Francesco Palmieri 001; Silvio Savarese (ICCV Workshops, 2015)

3D Semantic Parsing of Large-Scale Indoor Spaces. - Iro Armeni; Ozan Sener; Amir R. Zamir; Helen Jiang; Ioannis K. Brilakis; Martin Fischer 010; Silvio Savarese (CVPR, 2016)

Structural-RNN: Deep Learning on Spatio-Temporal Graphs. - Ashesh Jain; Amir R. Zamir; Silvio Savarese; Ashutosh Saxena (CVPR, 2016)

Generic 3D Representation via Pose Estimation and Matching. - Amir R. Zamir; Tilman Wekel; Pulkit Agrawal 001; Colin Wei; Jitendra Malik; Silvio Savarese (ECCV (3), 2016)

Unsupervised Semantic Action Discovery from Video Collections. - Ozan Sener; Amir Roshan Zamir; Chenxia Wu; Silvio Savarese; Ashutosh Saxena (CoRR, 2016)

Feedback Networks. - Amir R. Zamir; Te-Lin Wu; Lin Sun 004; William B. Shen; Jitendra Malik; Silvio Savarese (CoRR, 2016)

Introduction to Large-Scale Visual Geo-localization. - Amir R. Zamir; Asaad Hakeem; Luc Van Gool; Mubarak Shah; Richard Szeliski (Large-Scale Visual Geo-Localization, 2016)

Feedback Networks. - Amir R. Zamir; Te-Lin Wu; Lin Sun 004; William B. Shen; Bertram E. Shi; Jitendra Malik; Silvio Savarese (CVPR, 2017)

Joint 2D-3D-Semantic Data for Indoor Scene Understanding. - Iro Armeni; Sasha Sax; Amir R. Zamir; Silvio Savarese (CoRR, 2017)

The THUMOS challenge on action recognition for videos "in the wild". - Haroon Idrees; Amir R. Zamir; Yu-Gang Jiang 001; Alex Gorban; Ivan Laptev; Rahul Sukthankar; Mubarak Shah (Comput. Vis. Image Underst., 2017)

Gibson Env: Real-World Perception for Embodied Agents. - Fei Xia 002; Amir R. Zamir; Zhi-Yang He; Alexander Sax; Jitendra Malik; Silvio Savarese (CVPR, 2018)

On Evaluation of Embodied Navigation Agents. - Peter Anderson 001; Angel X. Chang; Devendra Singh Chaplot; Alexey Dosovitskiy; Saurabh Gupta 001; Vladlen Koltun; Jana Kosecka; Jitendra Malik; Roozbeh Mottaghi; Manolis Savva; Amir R. Zamir (CoRR, 2018)

Mid-Level Visual Representations Improve Generalization and Sample Efficiency for Learning Active Tasks. - Alexander Sax; Bradley Emi; Amir Zamir; Leonidas J. Guibas; Silvio Savarese; Jitendra Malik (CoRR, 2018)

Learning to Navigate Using Mid-Level Visual Priors. - Alexander Sax; Jeffrey O. Zhang; Bradley Emi; Amir Zamir; Silvio Savarese; Leonidas J. Guibas; Jitendra Malik (CoRL, 2019)

3D Scene Graph: A Structure for Unified Semantics, 3D Space, and Camera. - Iro Armeni; Zhi-Yang He; Amir Zamir; JunYoung Gwak; Jitendra Malik; Martin Fischer 010; Silvio Savarese (ICCV, 2019)

An Information-Theoretic Approach to Transferability in Task Transfer Learning. - Yajie Bao; Yang Li 104; Shao-Lun Huang; Lin Zhang 001; Lizhong Zheng; Amir Zamir; Leonidas J. Guibas (ICIP, 2019)

Taskonomy: Disentangling Task Transfer Learning. - Amir Zamir; Alexander Sax; William B. Shen; Leonidas J. Guibas; Jitendra Malik; Silvio Savarese (IJCAI, 2019)

Side-Tuning: Network Adaptation via Additive Side Networks. - Jeffrey O. Zhang; Alexander Sax; Amir Zamir; Leonidas J. Guibas; Jitendra Malik (CoRR, 2019)

Robust Policies via Mid-Level Visual Representations: An Experimental Study in Manipulation and Navigation. - Bryan Chen; Alexander Sax; Francis Lewis; Iro Armeni; Silvio Savarese; Amir Zamir; Jitendra Malik; Lerrel Pinto (CoRL, 2020)

Robust Learning Through Cross-Task Consistency. - Amir R. Zamir; Alexander Sax; Nikhil Cheerla; Rohan Suri; Zhangjie Cao; Jitendra Malik; Leonidas J. Guibas (CVPR, 2020)

Side-Tuning: A Baseline for Network Adaptation via Additive Side Networks. - Jeffrey O. Zhang; Alexander Sax; Amir Zamir; Leonidas J. Guibas; Jitendra Malik (ECCV (3), 2020)

Which Tasks Should Be Learned Together in Multi-task Learning? - Trevor Standley; Amir Zamir; Dawn Chen; Leonidas J. Guibas; Jitendra Malik; Silvio Savarese (ICML, 2020)

Robust Learning Through Cross-Task Consistency. - Amir R. Zamir; Alexander Sax; Teresa Yeo; Oguzhan Fatih Kar; Nikhil Cheerla; Rohan Suri; Zhangjie Cao; Jitendra Malik; Leonidas J. Guibas (CoRR, 2020)

Robust Policies via Mid-Level Visual Representations: An Experimental Study in Manipulation and Navigation. - Bryan Chen; Alexander Sax; Gene Lewis; Iro Armeni; Silvio Savarese; Amir Zamir; Jitendra Malik; Lerrel Pinto (CoRR, 2020)

Omnidata: A Scalable Pipeline for Making Multi-Task Mid-Level Vision Datasets from 3D Scans. - Ainaz Eftekhar; Alexander Sax; Jitendra Malik; Amir Zamir (ICCV, 2021)

Robustness via Cross-Domain Ensembles. - Teresa Yeo; Oguzhan Fatih Kar; Amir Zamir (ICCV, 2021)

Omnidata: A Scalable Pipeline for Making Multi-Task Mid-Level Vision Datasets from 3D Scans. - Ainaz Eftekhar; Alexander Sax; Roman Bachmann 001; Jitendra Malik; Amir Zamir (CoRR, 2021)

3D Common Corruptions and Data Augmentation. - Oguzhan Fatih Kar; Teresa Yeo; Andrei Atanov; Amir Zamir (CVPR, 2022)

MultiMAE: Multi-modal Multi-task Masked Autoencoders. - Roman Bachmann 001; David Mizrahi; Andrei Atanov; Amir Zamir (ECCV (37), 2022)

Task Discovery: Finding the Tasks that Neural Networks Generalize on. - Andrei Atanov; Andrei Filatov; Teresa Yeo; Ajay Sohmshetty; Amir Zamir (NeurIPS, 2022)

PALMER: Perception - Action Loop with Memory for Long-Horizon Planning. - Onur Beker; Mohammad Mohammadi; Amir Zamir (NeurIPS, 2022)

Simple Control Baselines for Evaluating Transfer Learning. - Andrei Atanov; Shijian Xu; Onur Beker; Andrei Filatov; Amir Zamir (CoRR, 2022)

CLIPasso: semantically-aware object sketching. - Yael Vinker; Ehsan Pajouheshgar; Jessica Y. Bo; Roman Christian Bachmann 001; Amit Haim Bermano; Daniel Cohen-Or; Amir Zamir; Ariel Shamir (ACM Trans. Graph., 2022)

Modality-invariant Visual Odometry for Embodied Vision. - Marius Memmel; Roman Bachmann 001; Amir Zamir (CVPR, 2023)

Rapid Network Adaptation: Learning to Adapt Neural Networks Using Test-Time Feedback. - Teresa Yeo; Oguzhan Fatih Kar; Zahra Sodagar; Amir Zamir (ICCV, 2023)

4M: Massively Multimodal Masked Modeling. - David Mizrahi; Roman Bachmann 001; Oguzhan Fatih Kar; Teresa Yeo; Mingfei Gao; Afshin Dehghan; Amir Zamir (NeurIPS, 2023)

How Far Can a 1-Pixel Camera Go? Solving Vision Tasks Using Photoreceptors and Computationally Designed Visual Morphology. - Andrei Atanov; Jiawei Fu; Rishubh Singh; Isabella Yu; Andrew Spielberg; Amir Zamir (ECCV (74), 2024)

BRAVE: Broadening the Visual Encoding of Vision-Language Models. - Oguzhan Fatih Kar; Alessio Tonioni; Petra Poklukar; Achin Kulshrestha; Amir Zamir; Federico Tombari (ECCV (16), 2024)

ViPer: Visual Personalization of Generative Models via Individual Preference Learning. - Sogand Salehi; Mahdi Shafiei; Teresa Yeo; Roman Bachmann 001; Amir Zamir (ECCV (74), 2024)

Unraveling the Key Components of OOD Generalization via Diversification. - Harold Benoit; Liangze Jiang; Andrei Atanov; Oguzhan Fatih Kar; Mattia Rigotti; Amir Zamir (ICLR, 2024)

4M-21: An Any-to-Any Vision Model for Tens of Tasks and Modalities. - Roman Bachmann 001; Oguzhan Fatih Kar; David Mizrahi; Ali Garjani; Mingfei Gao; David Griffiths; Jiaming Hu; Afshin Dehghan; Amir Zamir (NeurIPS, 2024)

Solving Vision Tasks with Simple Photoreceptors Instead of Cameras. - Andrei Atanov; Jiawei Fu; Rishubh Singh; Isabella Yu; Andrew Spielberg; Amir Zamir (CoRR, 2024)

Large (Vision) Language Models are Unsupervised In-Context Learners. - Artyom Gadetsky; Andrei Atanov; Yulun Jiang; Zhitong Gao; Ghazal Hosseini Mighan; Amir Zamir; Maria Brbic (ICLR, 2025)

Controlled Training Data Generation with Diffusion Models. - Teresa Yeo; Andrei Atanov; Harold Benoit; Aleksandr Alekseev; Ruchira Ray; Pooya Esmaeil Akhoondi; Amir Zamir (Trans. Mach. Learn. Res., 2025)

FlexTok: Resampling Images into 1D Token Sequences of Flexible Length. - Roman Bachmann 001; Jesse Allardice; David Mizrahi; Enrico Fini; Oguzhan Fatih Kar; Elmira Amirloo; Alaaeldin El-Nouby; Amir Zamir; Afshin Dehghan (CoRR, 2025)

How Well Does GPT-4o Understand Vision? Evaluating Multimodal Foundation Models on Standard Computer Vision Tasks. - Rahul Ramachandran; Ali Garjani; Roman Bachmann 001; Andrei Atanov; Oguzhan Fatih Kar; Amir Zamir (CoRR, 2025)