Investigation of surface stress effect in 3D complex nano parts using FEM and modified boundary Cauchy-Born method. - Reza Ghaffari; Kamran Alipour; S. Solgi; S. Irani; H. Haddadpour (J. Comput. Sci., 2015)

Real-Time Photo-Realistic Augmented Reality Under Dynamic Ambient Lighting Conditions. - Kamran Alipour; Jürgen P. Schulze (ERVR, 2019)

A Study on Multimodal and Interactive Explanations for Visual Question Answering. - Kamran Alipour; Jürgen P. Schulze; Yi Yao; Avi Ziskind; Giedrius Burachas (SafeAI@AAAI, 2020)

Deep Learning Improves Contrast in Low-Fluence Photoacoustic Imaging. - Ali Hariri; Kamran Alipour; Yash Mantri; Jürgen P. Schulze; Jesse V. Jokerst (CoRR, 2020)

The Impact of Explanations on AI Competency Prediction in VQA. - Kamran Alipour; Arijit Ray; Xiao Lin; Jürgen P. Schulze; Yi Yao; Giedrius T. Burachas (CoRR, 2020)

Knowing What VQA Does Not: Pointing to Error-Inducing Regions to Improve Explanation Helpfulness. - Arijit Ray; Michael Cogswell; Xiao Lin; Kamran Alipour; Ajay Divakaran; Yi Yao; Giedrius Burachas (CoRR, 2021)

Improving Users' Mental Model with Attention-directed Counterfactual Edits. - Kamran Alipour; Arijit Ray; Xiao Lin; Michael Cogswell; Jürgen P. Schulze; Yi Yao; Giedrius T. Burachas (CoRR, 2021)

Explaining Image Classifiers Using Contrastive Counterfactuals in Generative Latent Spaces. - Kamran Alipour; Aditya Lahiri; Ehsan Adeli 001; Babak Salimi; Michael J. Pazzani (CoRR, 2022)

Combining Counterfactuals With Shapley Values To Explain Image Models. - Aditya Lahiri; Kamran Alipour; Ehsan Adeli 001; Babak Salimi (CoRR, 2022)

Attention-based and Causal Explanations in Computer Vision - Kamran Alipour (2022)