15 citations · 20 across the 2 of their papers we have counts for
5 papers
Tissue Aware Nuclei Detection and Classification Model for Histopathology Images
Kesi Xu, Eleni Chiou, Ali Varamesh +2
Accurate nuclei detection and classification are fundamental to computational pathology, yet existing approaches are hindered by reliance on detailed expert annotations and insuffi…
Self-Supervised Ranking for Representation Learning
Ali Varamesh, Ali Diba, Tinne Tuytelaars +1
We present a new framework for self-supervised representation learning by formulating it as a ranking problem in an image retrieval context on a large number of random views (augme…
MIX'EM: Unsupervised Image Classification using a Mixture of Embeddings
Ali Varamesh, Tinne Tuytelaars
We present MIX'EM, a novel solution for unsupervised image classification. MIX'EM generates representations that by themselves are sufficient to drive a general-purpose clustering…
Mixture Dense Regression for Object Detection and Human Pose Estimation
Ali Varamesh, Tinne Tuytelaars
Mixture models are well-established learning approaches that, in computer vision, have mostly been applied to inverse or ill-defined problems. However, they are general-purpose div…
Does putting your emotions into words make you feel better? Measuring the minute-scale dynamics of emotions from online data
Rui Fan, Ali Varamesh, Onur Varol +4
Studies of affect labeling, i.e. putting your feelings into words, indicate that it can attenuate positive and negative emotions. Here we track the evolution of individual emotions…