Nathan Drenkow

According to our database1, Nathan Drenkow authored at least 20 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
From Generalization to Precision: Exploring SAM for Tool Segmentation in Surgical Environments.
CoRR, 2024

RobustCLEVR: A Benchmark and Framework for Evaluating Robustness in Object-centric Learning.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023
Exploiting Large Neuroimaging Datasets to Create Connectome-Constrained Approaches for more Robust, Efficient, and Adaptable Artificial Intelligence.
CoRR, 2023

Do Adaptive Active Attacks Pose Greater Risk Than Static Attacks?
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

A sparse null code emerges in deep neural networks.
Proceedings of UniReps: the First Workshop on Unifying Representations in Neural Models, 2023

Data AUDIT: Identifying Attribute Utility- and Detectability-Induced Bias in Task Models.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022
Context-Adaptive Deep Neural Networks via Bridge-Mode Connectivity.
CoRR, 2022

Attack Agnostic Detection of Adversarial Examples via Random Subspace Analysis.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

2021
Robustness in Deep Learning for Computer Vision: Mind the gap?
CoRR, 2021

On the Sins of Image Synthesis Loss for Self-supervised Depth Estimation.
CoRR, 2021

Patch Attack Invariance: How Sensitive are Patch Attacks to 3D Pose?
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Revisiting Stereo Depth Estimation From a Sequence-to-Sequence Perspective with Transformers.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Addressing Visual Search in Open and Closed Set Settings.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020
Objectness-Guided Open Set Visual Search and Closed Set Detection.
CoRR, 2020

Random Projections for Adversarial Attack Detection.
CoRR, 2020

Leveraging Tools from Autonomous Navigation for Rapid, Robust Neuron Connectivity.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Jacks of All Trades, Masters of None: Addressing Distributional Shift and Obtrusiveness via Transparent Patch Attacks.
Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

2019
The First International Competition in Machine Reconnaissance Blind Chess.
Proceedings of the NeurIPS 2019 Competition and Demonstration Track, 2019

2014
Selection of universal features for image classification.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2014

2013
A practical test set bound for rank learning.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2013


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