Judy Hoffman

Trans. Mach. Learn. Res., 2024

EgoMimic: Scaling Imitation Learning via Egocentric Video.

[BibT_eX]

[DOI]

CoRR, 2024

Model merging with SVD to tie the Knots.

[BibT_eX]

[DOI]

CoRR, 2024

ZipIt! Merging Models from Different Tasks without Training.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

AUGCAL: Improving Sim2Real Adaptation by Uncertainty Calibration on Augmented Synthetic Images.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Window Attention is Bugged: How not to Interpolate Position Embeddings.

[BibT_eX]

[DOI]

Chaitanya Ryali

Christoph Feichtenhofer

Proceedings of the Twelfth International Conference on Learning Representations, 2024

SKYSCENES: A Synthetic Dataset for Aerial Scene Understanding.

[BibT_eX]

[DOI]

Santhosh Kumar Ramakrishnan

Proceedings of the Computer Vision - ECCV 2024, 2024

Ego-Exo4D: Understanding Skilled Human Activity from First- and Third-Person Perspectives.

[BibT_eX]

[DOI]

Triantafyllos Afouras

Oluwatumininu Oguntola

Giovanni Maria Farinella

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Bridging the Sim2Real gap with CARE: Supervised Detection Adaptation with Conditional Alignment and Reweighting.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2023

Memory in Plain Sight: A Survey of the Uncanny Resemblances between Diffusion Models and Associative Memories.

[BibT_eX]

[DOI]

CoRR, 2023

ICON<sup>2</sup>: Reliably Benchmarking Predictive Inequity in Object Detection.

[BibT_eX]

[DOI]

CoRR, 2023

ZipIt! Merging Models from Different Tasks without Training.

[BibT_eX]

[DOI]

CoRR, 2023

Bridging the Sim2Real gap with CARE: Supervised Detection Adaptation with Conditional Alignment and Reweighting.

[BibT_eX]

[DOI]

CoRR, 2023

Structure-Encoding Auxiliary Tasks for Improved Visual Representation in Vision-and-Language Navigation.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

LANCE: Stress-testing Visual Models by Generating Language-guided Counterfactual Images.

[BibT_eX]

[DOI]

Sriram Yenamandra

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Battle of the Backbones: A Large-Scale Comparison of Pretrained Models across Computer Vision Tasks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Synthetic-to-Real Domain Adaptation for Action Recognition: A Dataset and Baseline Performances.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Hiera: A Hierarchical Vision Transformer without the Bells-and-Whistles.

[BibT_eX]

[DOI]

Christoph Feichtenhofer

Proceedings of the International Conference on Machine Learning, 2023

Token Merging: Your ViT But Faster.

[BibT_eX]

[DOI]

Christoph Feichtenhofer

Proceedings of the Eleventh International Conference on Learning Representations, 2023

FACTS: First Amplify Correlations and Then Slice to Discover Bias.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Benchmarking Low-Shot Robustness to Natural Distribution Shifts.

[BibT_eX]

[DOI]

Aaditya Singh

Kartik Sarangmath

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Pasta: Proportional Amplitude Spectrum Training Augmentation for Syn-to-Real Domain Generalization.

[BibT_eX]

[DOI]

Kartik Sarangmath

Vivek Vijaykumar

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Token Merging for Fast Stable Diffusion.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Concept Evolution in Deep Learning Training: A Unified Interpretation Framework and Discoveries.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

ConceptEvo: Interpreting Concept Evolution in Deep Learning Training.

[BibT_eX]

[DOI]

CoRR, 2022

Multiple-source adaptation theory and algorithms - addendum.

[BibT_eX]

[DOI]

Ann. Math. Artif. Intell., 2022

Adapting Self-Supervised Vision Transformers by Probing Attention-Conditioned Masking Consistency.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

ZSON: Zero-Shot Object-Goal Navigation using Multimodal Goal Embeddings.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Hydra Attention: Efficient Attention with Many Heads.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Can domain adaptation make object recognition work for everyone?

[BibT_eX]

[DOI]

Ramprasaath R. Selvaraju

Nikhil Naik

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

VIsCUIT: Visual Auditor for Bias in CNN Image Classifier.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

S4T: Source-free domain adaptation for semantic segmentation via self-supervised selective self-training.

[BibT_eX]

[DOI]

CoRR, 2021

Multiple-source adaptation theory and algorithms.

[BibT_eX]

[DOI]

Ann. Math. Artif. Intell., 2021

Representation Learning Through Latent Canonicalizations.

[BibT_eX]

[DOI]

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Scalable Diverse Model Selection for Accessible Transfer Learning.

[BibT_eX]

[DOI]

Rohit Mittapalli

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Temporal Action Detection with Multi-level Supervision.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

SENTRY: Selective Entropy Optimization via Committee Consistency for Unsupervised Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Active Domain Adaptation via Clustering Uncertainty-weighted Embeddings.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

RobustNav: Towards Benchmarking Robustness in Embodied Navigation.

[BibT_eX]

[DOI]

Roozbeh Mottaghi

Aniruddha Kembhavi

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Mitigating Bias in Visual Transformers via Targeted Alignment.

[BibT_eX]

[DOI]

Sruthi Sudhakar

Arvindkumar Krishnakumar

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

UDIS: Unsupervised Discovery of Bias in Deep Visual Recognition Models.

[BibT_eX]

[DOI]

Arvindkumar Krishnakumar

Sruthi Sudhakar

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

Analyzing Visual Representations in Embodied Navigation Tasks.

[BibT_eX]

[DOI]

CoRR, 2020

Auxiliary Task Reweighting for Minimum-data Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Masked reconstruction based self-supervision for human activity recognition.

[BibT_eX]

[DOI]

Proceedings of the ISWC '20: 2020 ACM International Symposium on Wearable Computers, 2020

Likelihood Landscapes: A Unifying Principle Behind Many Adversarial Defenses.

[BibT_eX]

[DOI]

Fu Lin

Rohit Mittapalli

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

Learning to Balance Specificity and Invariance for In and Out of Domain Generalization.

[BibT_eX]

[DOI]

Yogesh Balaji

Proceedings of the Computer Vision - ECCV 2020, 2020

TIDE: A General Toolbox for Identifying Object Detection Errors.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

Integrating Egocentric Localization for More Realistic Point-Goal Navigation Agents.

[BibT_eX]

[DOI]

Proceedings of the 4th Conference on Robot Learning, 2020

2019

Instance adaptive adversarial training: Improved accuracy tradeoffs in neural nets.

[BibT_eX]

[DOI]

Yogesh Balaji

Tom Goldstein

CoRR, 2019

Robust Learning with Jacobian Regularization.

[BibT_eX]

[DOI]

Daniel A. Roberts

Sho Yaida

CoRR, 2019

Predictive Inequity in Object Detection.

[BibT_eX]

[DOI]

Benjamin Wilson

Jamie Morgenstern

CoRR, 2019

SplitNet: Sim2Sim and Task2Task Transfer for Embodied Visual Navigation.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

Syn2Real: A New Benchmark forSynthetic-to-Real Visual Domain Adaptation.

[BibT_eX]

[DOI]

CoRR, 2018

Scaling Human-Object Interaction Recognition Through Zero-Shot Learning.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

Algorithms and Theory for Multiple-Source Adaptation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

CyCADA: Cycle-Consistent Adversarial Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the 35th International Conference on Machine Learning, 2018

Adapting to Continuously Shifting Domains.

[BibT_eX]

[DOI]

Proceedings of the 6th International Conference on Learning Representations, 2018

VisDA: A Synthetic-to-Real Benchmark for Visual Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

2017

Simultaneous Deep Transfer Across Domains and Tasks.

[BibT_eX]

[DOI]

Proceedings of the Domain Adaptation in Computer Vision Applications., 2017

Label Efficient Learning of Transferable Representations across Domains and Tasks.

[BibT_eX]

[DOI]

CoRR, 2017

Multiple-Source Adaptation for Regression Problems.

[BibT_eX]

[DOI]

CoRR, 2017

VisDA: The Visual Domain Adaptation Challenge.

[BibT_eX]

[DOI]

CoRR, 2017

Label Efficient Learning of Transferable Representations acrosss Domains and Tasks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Adversarial Discriminative Domain Adaptation (workshop extended abstract).

[BibT_eX]

[DOI]

Proceedings of the 5th International Conference on Learning Representations, 2017

Inferring and Executing Programs for Visual Reasoning.

[BibT_eX]

[DOI]

Justin Johnson

Bharath Hariharan

Laurens van der Maaten

Proceedings of the IEEE International Conference on Computer Vision, 2017

Fine-Grained Recognition in the Wild: A Multi-task Domain Adaptation Approach.

[BibT_eX]

[DOI]

Timnit Gebru

Li Fei-Fei

Proceedings of the IEEE International Conference on Computer Vision, 2017

Adversarial Discriminative Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Large Scale Visual Recognition through Adaptation using Joint Representation and Multiple Instance Learning.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2016

FCNs in the Wild: Pixel-level Adversarial and Constraint-based Adaptation.

[BibT_eX]

[DOI]

CoRR, 2016

Adapting Deep Visuomotor Representations with Weak Pairwise Constraints.

[BibT_eX]

[DOI]

Proceedings of the Algorithmic Foundations of Robotics XII, 2016

Cross-modal adaptation for RGB-D detection.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

Fine-to-coarse knowledge transfer for low-res image classification.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Clockwork Convnets for Video Semantic Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

Best Practices for Fine-Tuning Visual Classifiers to New Domains.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

Learning with Side Information through Modality Hallucination.

[BibT_eX]

[DOI]

Saurabh Gupta

Trevor Darrell

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Cross Modal Distillation for Supervision Transfer.

[BibT_eX]

[DOI]

Saurabh Gupta

Alberto Rodriguez-Ramirez

Jitendra Malik

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

Towards Adapting Deep Visuomotor Representations from Simulated to Real Environments.

[BibT_eX]

[DOI]

CoRR, 2015

Quantification in-the-wild: data-sets and baselines.

[BibT_eX]

[DOI]

Manuel González-Rivero

Ove Hoegh-Guldberg

CoRR, 2015

Simultaneous Deep Transfer Across Domains and Tasks.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Spatial Semantic Regularisation for Large Scale Object Detection.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Detector discovery in the wild: Joint multiple instance and representation learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

Asymmetric and Category Invariant Feature Transformations for Domain Adaptation.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2014

Deep Domain Confusion: Maximizing for Domain Invariance.

[BibT_eX]

[DOI]

CoRR, 2014

One-Shot Adaptation of Supervised Deep Convolutional Models.

[BibT_eX]

[DOI]

Proceedings of the 2nd International Conference on Learning Representations, 2014

LSDA: Large Scale Detection Through Adaptation.

[BibT_eX]

[DOI]

CoRR, 2014

LSDA: Large Scale Detection through Adaptation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Interactive adaptation of real-time object detectors.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition.

[BibT_eX]

[DOI]

Proceedings of the 31th International Conference on Machine Learning, 2014

Continuous Manifold Based Adaptation for Evolving Visual Domains.

[BibT_eX]

[DOI]