Ramin Moslemi — accepted AI-conference papers

2022

Learning To Learn Across Diverse Data Biases in Deep Face Recognition

Chang Liu, Xiang Yu, Yi-Hsuan Tsai, Masoud Faraki, Ramin Moslemi, Manmohan Chandraker +1

CVPR 2022poster

Convolutional Neural Networks have achieved remarkable success in face recognition, in part due to the abundant availability of data. However, the data used for training CNNs is often imbalanced. Prior works largely focus on the long-tailed nature of face datasets in data volume per identity, or foc…

Cited by 26 PDF ↗Scholar ↗

2021

Divide-and-Conquer for Lane-Aware Diverse Trajectory Prediction

Sriram Narayanan, Ramin Moslemi, Francesco Pittaluga, Buyu Liu, Manmohan Chandraker

CVPR 2021poster

Trajectory prediction is a safety-critical tool for autonomous vehicles to plan and execute actions. Our work addresses two key challenges in trajectory prediction, learning multimodal outputs, and better predictions by imposing constraints using driving knowledge. Recent methods have achieved stron…

Cited by 79 PDF ↗Scholar ↗