Krista A. Ehinger

Orcid: 0000-0003-2247-3020

According to our database1, Krista A. Ehinger authored at least 29 papers between 2009 and 2024.

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

Timeline

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Bibliography

2024
Perceiving Longer Sequences With Bi-Directional Cross-Attention Transformers.
CoRR, 2024

Amodal Intra-class Instance Segmentation: Synthetic Datasets and Benchmark.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Exploring Automated Data Augmentation Approaches for Deep Learning: A Case Study of Individual Feral Cat Classification.
Proceedings of the 57th Hawaii International Conference on System Sciences, 2024

Generalized Planning for the Abstraction and Reasoning Corpus.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
An active foveated gaze prediction algorithm based on a Bayesian ideal observer.
Pattern Recognit., November, 2023

Image amodal completion: A survey.
Comput. Vis. Image Underst., March, 2023

Improving Denoising Diffusion Models via Simultaneous Estimation of Image and Noise.
CoRR, 2023

Amodal Intra-class Instance Segmentation: New Dataset and Benchmark.
CoRR, 2023

Novelty and Lifted Helpful Actions in Generalized Planning.
Proceedings of the Sixteenth International Symposium on Combinatorial Search, 2023

Truck Speed Detection Through Video Streams.
Proceedings of the 19th IEEE International Conference on e-Science, 2023

Unicode Analogies: An Anti-Objectivist Visual Reasoning Challenge.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2021
Invertible Concept-based Explanations for CNN Models with Non-negative Concept Activation Vectors.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Improving Interpretability of CNN Models Using Non-Negative Concept Activation Vectors.
CoRR, 2020

Optimal visual search based on a model of target detectability in natural images.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

A Closer Look at Generalisation in RAVEN.
Proceedings of the Computer Vision - ECCV 2020, 2020

2018
Hypergraph Optimization for Salient Region Detection Based on Foreground and Background Queries.
IEEE Access, 2018

2017
Erratum to: A novel graph-based optimization framework for salient object detection [Pattern Recognition 64C (2017) 39-50].
Pattern Recognit., 2017

A novel graph-based optimization framework for salient object detection.
Pattern Recognit., 2017

Probabilistic Hypergraph Optimization for Salient Object Detection.
Proceedings of the Intelligence Science and Big Data Engineering, 2017

Local Depth Edge Detection in Humans and Deep Neural Networks.
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

2016
SUN Database: Exploring a Large Collection of Scene Categories.
Int. J. Comput. Vis., 2016

2015
TurkerGaze: Crowdsourcing Saliency with Webcam based Eye Tracking.
CoRR, 2015

2014
A prior-based graph for salient object detection.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

2012
Basic level scene understanding: from labels to structure and beyond.
Proceedings of the SIGGRAPH Asia 2012 Technical Briefs, Singapore, November 28, 2012

Recognizing scene viewpoint using panoramic place representation.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011
Estimating scene typicality from human ratings and image features.
Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011

Canonical views of scenes depend on the shape of the space.
Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011

2010
SUN database: Large-scale scene recognition from abbey to zoo.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009
Learning to predict where humans look.
Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009


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