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06/07/2023
ICON^2: Reliably Benchmarking Predictive Inequity in Object Detection
As computer vision systems are being increasingly deployed at scale in h...
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06/01/2023
Hiera: A Hierarchical Vision Transformer without the Bells-and-Whistles
Modern hierarchical vision transformers have added several vision-specif...
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05/30/2023
LANCE: Stress-testing Visual Models by Generating Language-guided Counterfactual Images
We propose an automated algorithm to stress-test a trained visual model ...
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04/21/2023
Benchmarking Low-Shot Robustness to Natural Distribution Shifts
Robustness to natural distribution shifts has seen remarkable progress t...
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03/30/2023
Token Merging for Fast Stable Diffusion
The landscape of image generation has been forever changed by open vocab...
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03/17/2023
Synthetic-to-Real Domain Adaptation for Action Recognition: A Dataset and Baseline Performances
Human action recognition is a challenging problem, particularly when the...
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02/09/2023
Bridging the Sim2Real gap with CARE: Supervised Detection Adaptation with Conditional Alignment and Reweighting
Sim2Real domain adaptation (DA) research focuses on the constrained sett...
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02/08/2023
Mitigating Bias in Visual Transformers via Targeted Alignment
As transformer architectures become increasingly prevalent in computer v...
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12/02/2022
PASTA: Proportional Amplitude Spectrum Training Augmentation for Syn-to-Real Domain Generalization
Synthetic data offers the promise of cheap and bountiful training data f...
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11/25/2022
Signed Binary Weight Networks
Efficient inference of Deep Neural Networks (DNNs) is essential to makin...
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11/20/2022
Structure-Encoding Auxiliary Tasks for Improved Visual Representation in Vision-and-Language Navigation
In Vision-and-Language Navigation (VLN), researchers typically take an i...
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10/17/2022
Token Merging: Your ViT But Faster
We introduce Token Merging (ToMe), a simple method to increase the throu...
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09/15/2022
Hydra Attention: Efficient Attention with Many Heads
While transformers have begun to dominate many tasks in vision, applying...
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06/24/2022
ZSON: Zero-Shot Object-Goal Navigation using Multimodal Goal Embeddings
We present a scalable approach for learning open-world object-goal navig...
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06/16/2022
Adapting Self-Supervised Vision Transformers by Probing Attention-Conditioned Masking Consistency
Visual domain adaptation (DA) seeks to transfer trained models to unseen...
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04/23/2022
Can domain adaptation make object recognition work for everyone?
Despite the rapid progress in deep visual recognition, modern computer v...
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04/12/2022
VisCUIT: Visual Auditor for Bias in CNN Image Classifier
CNN image classifiers are widely used, thanks to their efficiency and ac...
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03/30/2022
ConceptEvo: Interpreting Concept Evolution in Deep Learning Training
Deep neural networks (DNNs) have been widely used for decision making, p...
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11/12/2021
Scalable Diverse Model Selection for Accessible Transfer Learning
With the preponderance of pretrained deep learning models available off-...
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10/29/2021
UDIS: Unsupervised Discovery of Bias in Deep Visual Recognition Models
Deep learning models have been shown to learn spurious correlations from...
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07/21/2021
S4T: Source-free domain adaptation for semantic segmentation via self-supervised selective self-training
Most modern approaches for domain adaptive semantic segmentation rely on...
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06/08/2021
RobustNav: Towards Benchmarking Robustness in Embodied Navigation
As an attempt towards assessing the robustness of embodied navigation ag...
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12/21/2020
SENTRY: Selective Entropy Optimization via Committee Consistency for Unsupervised Domain Adaptation
Many existing approaches for unsupervised domain adaptation (UDA) focus ...
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11/24/2020
Temporal Action Detection with Multi-level Supervision
Training temporal action detection in videos requires large amounts of l...
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10/16/2020
Active Domain Adaptation via Clustering Uncertainty-weighted Embeddings
Generalizing deep neural networks to new target domains is critical to t...
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10/16/2020
Auxiliary Task Reweighting for Minimum-data Learning
Supervised learning requires a large amount of training data, limiting i...
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09/07/2020
Integrating Egocentric Localization for More Realistic Point-Goal Navigation Agents
Recent work has presented embodied agents that can navigate to point-goa...
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08/28/2020
Learning to Balance Specificity and Invariance for In and Out of Domain Generalization
We introduce Domain-specific Masks for Generalization, a model for impro...
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08/25/2020
Likelihood Landscapes: A Unifying Principle Behind Many Adversarial Defenses
Convolutional Neural Networks have been shown to be vulnerable to advers...
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08/18/2020
TIDE: A General Toolbox for Identifying Object Detection Errors
We introduce TIDE, a framework and associated toolbox for analyzing the ...
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03/12/2020
Analyzing Visual Representations in Embodied Navigation Tasks
Recent advances in deep reinforcement learning require a large amount of...
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02/26/2020
Representation Learning Through Latent Canonicalizations
We seek to learn a representation on a large annotated data source that ...
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10/17/2019
Instance adaptive adversarial training: Improved accuracy tradeoffs in neural nets
Adversarial training is by far the most successful strategy for improvin...
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08/07/2019
Robust Learning with Jacobian Regularization
Design of reliable systems must guarantee stability against input pertur...
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05/18/2019
SplitNet: Sim2Sim and Task2Task Transfer for Embodied Visual Navigation
We propose SplitNet, a method for decoupling visual perception and polic...
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02/21/2019
Predictive Inequity in Object Detection
In this work, we investigate whether state-of-the-art object detection s...
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06/26/2018
Syn2Real: A New Benchmark forSynthetic-to-Real Visual Domain Adaptation
Unsupervised transfer of object recognition models from synthetic to rea...
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05/20/2018
Algorithms and Theory for Multiple-Source Adaptation
This work includes a number of novel contributions for the multiple-sour...
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11/30/2017
Label Efficient Learning of Transferable Representations across Domains and Tasks
We propose a framework that learns a representation transferable across ...
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11/08/2017
CyCADA: Cycle-Consistent Adversarial Domain Adaptation
Domain adaptation is critical for success in new, unseen environments. A...
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10/18/2017
VisDA: The Visual Domain Adaptation Challenge
We present the 2017 Visual Domain Adaptation (VisDA) dataset and challen...
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09/07/2017
Fine-grained Recognition in the Wild: A Multi-Task Domain Adaptation Approach
While fine-grained object recognition is an important problem in compute...
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05/10/2017
Inferring and Executing Programs for Visual Reasoning
Existing methods for visual reasoning attempt to directly map inputs to ...
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12/08/2016
FCNs in the Wild: Pixel-level Adversarial and Constraint-based Adaptation
Fully convolutional models for dense prediction have proven successful f...
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08/11/2016
Clockwork Convnets for Video Semantic Segmentation
Recent years have seen tremendous progress in still-image segmentation; ...
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05/21/2016
Fine-to-coarse Knowledge Transfer For Low-Res Image Classification
We address the difficult problem of distinguishing fine-grained object c...
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10/10/2015
Spatial Semantic Regularisation for Large Scale Object Detection
Large scale object detection with thousands of classes introduces the pr...
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10/08/2015
Simultaneous Deep Transfer Across Domains and Tasks
Recent reports suggest that a generic supervised deep CNN model trained ...
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07/02/2015
Cross Modal Distillation for Supervision Transfer
In this work we propose a technique that transfers supervision between i...
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12/10/2014