Learning to predict where humans look. - Tilke Judd; Krista A. Ehinger; Frédo Durand; Antonio Torralba 001 (ICCV, 2009)

SUN database: Large-scale scene recognition from abbey to zoo. - Jianxiong Xiao; James Hays; Krista A. Ehinger; Aude Oliva; Antonio Torralba 001 (CVPR, 2010)

Canonical views of scenes depend on the shape of the space. - Krista A. Ehinger; Aude Oliva (CogSci, 2011)

Estimating scene typicality from human ratings and image features. - Krista A. Ehinger; Jianxiong Xiao; Antonio Torralba 001; Aude Oliva (CogSci, 2011)

Recognizing scene viewpoint using panoramic place representation. - Jianxiong Xiao; Krista A. Ehinger; Aude Oliva; Antonio Torralba 001 (CVPR, 2012)

Basic level scene understanding: from labels to structure and beyond. - Jianxiong Xiao; Bryan C. Russell; James Hays; Krista A. Ehinger; Aude Oliva; Antonio Torralba 001 (SIGGRAPH Asia Technical Briefs, 2012)

A prior-based graph for salient object detection. - Jinxia Zhang; Krista A. Ehinger; Jundi Ding; Jing-Yu Yang 001 (ICIP, 2014)

TurkerGaze: Crowdsourcing Saliency with Webcam based Eye Tracking. - Pingmei Xu; Krista A. Ehinger; Yinda Zhang 001; Adam Finkelstein; Sanjeev R. Kulkarni; Jianxiong Xiao (CoRR, 2015)

SUN Database: Exploring a Large Collection of Scene Categories. - Jianxiong Xiao; Krista A. Ehinger; James Hays; Antonio Torralba 001; Aude Oliva (Int. J. Comput. Vis., 2016)

Local Depth Edge Detection in Humans and Deep Neural Networks. - Krista A. Ehinger; Erich W. Graf; Wendy J. Adams; James H. Elder (ICCV Workshops, 2017)

Probabilistic Hypergraph Optimization for Salient Object Detection. - Jinxia Zhang; Shixiong Fang; Krista A. Ehinger; Weili Guo; Wankou Yang; Haikun Wei (IScIDE, 2017)

A novel graph-based optimization framework for salient object detection. - Jinxia Zhang; Krista A. Ehinger; Haikun Wei; Kanjian Zhang; Jingyu Yang 001 (Pattern Recognit., 2017)

Erratum to: A novel graph-based optimization framework for salient object detection [Pattern Recognition 64C (2017) 39-50]. - Jinxia Zhang; Krista A. Ehinger; Haikun Wei; Kanjian Zhang; Jingyu Yang 001 (Pattern Recognit., 2017)

Hypergraph Optimization for Salient Region Detection Based on Foreground and Background Queries. - Jinxia Zhang; Shixiong Fang; Krista A. Ehinger; Haikun Wei; Wankou Yang; Kanjian Zhang; Jingyu Yang 001 (IEEE Access, 2018)

A Closer Look at Generalisation in RAVEN. - Steven Spratley; Krista A. Ehinger; Tim Miller 001 (ECCV (27), 2020)

Optimal visual search based on a model of target detectability in natural images. - Shima Rashidi; Krista A. Ehinger; Andrew Turpin; Lars Kulik (NeurIPS, 2020)

Improving Interpretability of CNN Models Using Non-Negative Concept Activation Vectors. - Ruihan Zhang 002; Prashan Madumal; Tim Miller 001; Krista A. Ehinger; Benjamin I. P. Rubinstein (CoRR, 2020)

Invertible Concept-based Explanations for CNN Models with Non-negative Concept Activation Vectors. - Ruihan Zhang 002; Prashan Madumal; Tim Miller 001; Krista A. Ehinger; Benjamin I. P. Rubinstein (AAAI, 2021)

Lightness constancy in reality, in virtual reality, and on flat-panel displays. - Khushbu Patel; Laurie M. Wilcox; Laurence T. Maloney; Krista A. Ehinger; Jaykishan Y. Patel; Emma Wiedenmann; Richard F. Murray (CogSci, 2022)

Improving Denoising Diffusion Models via Simultaneous Estimation of Image and Noise. - Zhenkai Zhang 001; Krista A. Ehinger; Tom Drummond (ACML, 2023)

Unicode Analogies: An Anti-Objectivist Visual Reasoning Challenge. - Steven Spratley; Krista A. Ehinger; Tim Miller 001 (CVPR, 2023)

Truck Speed Detection Through Video Streams. - Zuo Huang; Richard O. Sinnott; Krista A. Ehinger (e-Science, 2023)

Novelty and Lifted Helpful Actions in Generalized Planning. - Chao Lei; Nir Lipovetzky; Krista A. Ehinger (SOCS, 2023)

Amodal Intra-class Instance Segmentation: New Dataset and Benchmark. - Jiayang Ao; Qiuhong Ke; Krista A. Ehinger (CoRR, 2023)

Image amodal completion: A survey. - Jiayang Ao; Qiuhong Ke; Krista A. Ehinger (Comput. Vis. Image Underst., 2023)

An active foveated gaze prediction algorithm based on a Bayesian ideal observer. - Shima Rashidi; Weilun Xu; Dian Lin; Andrew Turpin; Lars Kulik; Krista A. Ehinger (Pattern Recognit., 2023)

Generalized Planning for the Abstraction and Reasoning Corpus. - Chao Lei; Nir Lipovetzky; Krista A. Ehinger (AAAI, 2024)

End-to-End Truck Speed Detection Using Deep Multi-task Learning. - Zuo Huang; Richard O. Sinnott; Krista A. Ehinger (AI (2), 2024)

Designing an Adaptive AI System for Operation on Board the SpIRIT Nano-Satellite. - Zaher Joukhadar; Jonathan Morgan; Christopher Bayliss; Miguel Ortiz del Castillo; Jack McRobbie; Robert Mearns; Krista A. Ehinger; Benjamin I. P. Rubinstein; Richard O. Sinnott; Michele Trenti; James Bailey 001 (AI (1), 2024)

Sequential Amodal Segmentation via Cumulative Occlusion Learning. - Jiayang Ao; Qiuhong Ke; Krista A. Ehinger (BMVC, 2024)

Exploring Automated Data Augmentation Approaches for Deep Learning: A Case Study of Individual Feral Cat Classification. - Zihan Yang 001; Richard O. Sinnott; James Bailey 001; Krista A. Ehinger (HICSS, 2024)

KALE: An Artwork Image Captioning System Augmented with Heterogeneous Graph. - Yanbei Jiang; Krista A. Ehinger; Jey Han Lau (IJCAI, 2024)

Perceiving Longer Sequences With Bi-Directional Cross-Attention Transformers. - Markus Hiller; Krista A. Ehinger; Tom Drummond (NeurIPS, 2024)

Amodal Intra-class Instance Segmentation: Synthetic Datasets and Benchmark. - Jiayang Ao; Qiuhong Ke; Krista A. Ehinger (WACV, 2024)

State-Based Disassembly Planning. - Chao Lei; Nir Lipovetzky; Krista A. Ehinger (AAAI, 2025)

TCAM-Diff: Triplane-Aware Cross-Attention Medical Diffusion Model. - Zhenkai Zhang 001; Krista A. Ehinger; Tom Drummond (AAAI, 2025)

Beyond Perception: Evaluating Abstract Visual Reasoning through Multi-Stage Task. - Yanbei Jiang; Yihao Ding; Chao Lei; Jiayang Ao; Jey Han Lau; Krista A. Ehinger (ACL (Findings), 2025)

Planning-Driven Programming: A Large Language Model Programming Workflow. - Chao Lei; Yanchuan Chang; Nir Lipovetzky; Krista A. Ehinger (ACL (1), 2025)

Open-World Amodal Appearance Completion. - Jiayang Ao; Yanbei Jiang; Qiuhong Ke; Krista A. Ehinger (CVPR, 2025)

From Reasoning to Generalization: Knowledge-Augmented LLMs for ARC Benchmark. - Chao Lei; Nir Lipovetzky; Krista A. Ehinger; Yanchuan Chang (CoRR, 2025)