GPS-Tag Refinement Using Random Walks with an Adaptive Damping Factor. - Amir Roshan Zamir; Shervin Ardeshir; Mubarak Shah (CVPR, 2014)

GIS-Assisted Object Detection and Geospatial Localization. - Shervin Ardeshir; Amir Roshan Zamir; Alejandro Torroella; Mubarak Shah (ECCV (6), 2014)

Geo-semantic segmentation. - Shervin Ardeshir; Kofi Malcolm Collins-Sibley; Mubarak Shah (CVPR, 2015)

Ego2Top: Matching Viewers in Egocentric and Top-View Videos. - Shervin Ardeshir; Ali Borji (ECCV (5), 2016)

Egocentric Meets Surveillance. - Shervin Ardeshir; Ali Borji (CoRR, 2016)

EgoTransfer: Transferring Motion Across Egocentric and Exocentric Domains using Deep Neural Networks. - Shervin Ardeshir; Krishna Regmi; Ali Borji (CoRR, 2016)

EgoReID: Cross-view Self-Identification and Human Re-identification in Egocentric and Surveillance Videos. - Shervin Ardeshir; Sandesh Sharma; Ali Broji (CoRR, 2016)

Integrating Egocentric Videos in Top-View Surveillance Videos: Joint Identification and Temporal Alignment. - Shervin Ardeshir; Ali Borji (ECCV (11), 2018)

From Third Person to First Person: Dataset and Baselines for Synthesis and Retrieval. - Mohamed Elfeki; Krishna Regmi; Shervin Ardeshir; Ali Borji (CoRR, 2018)

An exocentric look at egocentric actions and vice versa. - Shervin Ardeshir; Ali Borji (Comput. Vis. Image Underst., 2018)

On Attention Modules for Audio-Visual Synchronization. - Naji Khosravan; Shervin Ardeshir; Rohit Puri (CVPR Workshops, 2019)

Egocentric Meets Top-View. - Shervin Ardeshir; Ali Borji (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

Estimating Structural Disparities for Face Models. - Shervin Ardeshir; Cristina Segalin; Nathan Kallus (CVPR, 2022)

Character-focused Video Thumbnail Retrieval. - Shervin Ardeshir; Nagendra Kamath; Hossein Taghavi (CoRR, 2022)

On Negative Sampling for Audio-Visual Contrastive Learning from Movies. - Mahdi M. Kalayeh; Shervin Ardeshir; Lingyi Liu; Nagendra Kamath; Ashok Chandrashekar (CoRR, 2022)

Uncertainty in Contrastive Learning: On the Predictability of Downstream Performance. - Shervin Ardeshir; Navid Azizan (CoRR, 2022)

Fairness via Adversarial Attribute Neighbourhood Robust Learning. - Qi Qi 006; Shervin Ardeshir; Yi Xu 008; Tianbao Yang (CoRR, 2022)

Improving Identity-Robustness for Face Models. - Qi Qi 006; Shervin Ardeshir (CoRR, 2023)

LLM2Loss: Leveraging Language Models for Explainable Model Diagnostics. - Shervin Ardeshir (CoRR, 2023)

Representation Reliability and Its Impact on Downstream Tasks. - Young-Jin Park; Hao Wang; Shervin Ardeshir; Navid Azizan (CoRR, 2023)

Quantifying Representation Reliability in Self-Supervised Learning Models. - Young-Jin Park; Hao Wang; Shervin Ardeshir; Navid Azizan (UAI, 2024)

Towards Automated Machine Learning Research. - Shervin Ardeshir (CoRR, 2024)