Theo dõi
Kamran Alipour
Kamran Alipour
PhD in Computer Science, University of California San Diego
Email được xác minh tại ucsd.edu
Tiêu đề
Trích dẫn bởi
Trích dẫn bởi
Năm
Deep learning improves contrast in low-fluence photoacoustic imaging
A Hariri, K Alipour, Y Mantri, JP Schulze, JV Jokerst
Biomedical optics express 11 (6), 3360-3373, 2020
782020
Detecting glaucoma from fundus photographs using deep learning without convolutions: transformer for improved generalization
R Fan, K Alipour, C Bowd, M Christopher, N Brye, JA Proudfoot, ...
Ophthalmology science 3 (1), 100233, 2023
392023
A study on multimodal and interactive explanations for visual question answering
K Alipour, JP Schulze, Y Yao, A Ziskind, G Burachas
arXiv preprint arXiv:2003.00431, 2020
262020
The impact of explanations on AI competency prediction in VQA
K Alipour, A Ray, X Lin, JP Schulze, Y Yao, GT Burachas
2020 IEEE International Conference on Humanized Computing and Communication …, 2020
122020
Combining counterfactuals with shapley values to explain image models
A Lahiri, K Alipour, E Adeli, B Salimi
arXiv preprint arXiv:2206.07087, 2022
62022
Arcalvr: augmented reality playground on mobile devices
M Zhang, K Lucknavalai, W Liu, K Alipour, JP Schulze
ACM SIGGRAPH 2019 Appy Hour, 1-2, 2019
62019
Improving users' mental model with attention‐directed counterfactual edits
K Alipour, A Ray, X Lin, M Cogswell, JP Schulze, Y Yao, GT Burachas
Applied AI Letters 2 (4), e47, 2021
52021
Investigation of surface stress effect in 3D complex nano parts using FEM and modified boundary Cauchy–Born method
R Ghaffari, K Alipour, S Solgi, S Irani, H Haddadpour
Journal of Computational Science 10, 1-12, 2015
52015
Explaining image classifiers using contrastive counterfactuals in generative latent spaces
K Alipour, A Lahiri, E Adeli, B Salimi, M Pazzani
arXiv preprint arXiv:2206.05257, 2022
42022
Generating and evaluating explanations of attended and error‐inducing input regions for VQA models
A Ray, M Cogswell, X Lin, K Alipour, A Divakaran, Y Yao, G Burachas
Applied AI Letters 2 (4), e51, 2021
42021
Knowing what VQA does not: Pointing to error-inducing regions to improve explanation helpfulness
A Ray, M Cogswell, X Lin, K Alipour, A Divakaran, Y Yao, G Burachas
arXiv preprint arXiv 2103, 2021
42021
Primary open-angle glaucoma detection with vision transformer: Improved generalization across independent fundus photograph datasets
C Bowd, R Fan, K Alipour, M Christopher, N Brye, JA Proudfoot, ...
Investigative Ophthalmology & Visual Science 63 (7), 2295-2295, 2022
22022
Error-based explanations for artificial intelligence behavior
A Ray, MA Cogswell, A Divakaran, Y Yao, GT Burachas, K Alipour
US Patent App. 17/656,391, 2024
2024
Attention-based and Causal Explanations in Computer Vision
K Alipour
University of California, San Diego, 2022
2022
Real-Time Photo-Realistic Augmented Reality Under Dynamic Ambient Lighting Conditions
K Alipour, JP Schulze
Electronic Imaging 31, 1-6, 2019
2019
IMPROVING EXPLANATIONS OF IMAGE CLASSIFICATION WITH ENSEMBLES OF LEARNERS
A Ahamed, K Alipour, S Kumar, S Soltani, M Pazzani
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