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08/28/2023
RobustCLEVR: A Benchmark and Framework for Evaluating Robustness in Object-centric Learning
Object-centric representation learning offers the potential to overcome ...
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05/26/2023
Exploiting Large Neuroimaging Datasets to Create Connectome-Constrained Approaches for more Robust, Efficient, and Adaptable Artificial Intelligence
Despite the progress in deep learning networks, efficient learning at th...
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04/06/2023
Data AUDIT: Identifying Attribute Utility- and Detectability-Induced Bias in Task Models
To safely deploy deep learning-based computer vision models for computer...
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11/28/2022
Context-Adaptive Deep Neural Networks via Bridge-Mode Connectivity
The deployment of machine learning models in safety-critical application...
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12/01/2021
Robustness in Deep Learning for Computer Vision: Mind the gap?
Deep neural networks for computer vision tasks are deployed in increasin...
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09/13/2021
On the Sins of Image Synthesis Loss for Self-supervised Depth Estimation
Scene depth estimation from stereo and monocular imagery is critical for...
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08/16/2021
Patch Attack Invariance: How Sensitive are Patch Attacks to 3D Pose?
Perturbation-based attacks, while not physically realizable, have been t...
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12/11/2020
Objectness-Guided Open Set Visual Search and Closed Set Detection
Searching for small objects in large images is currently challenging for...
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12/11/2020
Random Projections for Adversarial Attack Detection
Whilst adversarial attack detection has received considerable attention,...
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05/01/2020
