1.2k citations · 1.6k across the 55 of their papers we have counts for
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Multimodal Machine Learning-based Knee Osteoarthritis Progression Prediction from Plain Radiographs and Clinical Data
Aleksei Tiulpin, Stefan Klein, Sita M. A. Bierma-Zeinstra +5
Knee osteoarthritis (OA) is the most common musculoskeletal disease without a cure, and current treatment options are limited to symptomatic relief. Prediction of OA progression is…
DAVE: A Deep Audio-Visual Embedding for Dynamic Saliency Prediction
Hamed R. Tavakoli, Ali Borji, Esa Rahtu +1
This paper studies audio-visual deep saliency prediction. It introduces a conceptually simple and effective Deep Audio-Visual Embedding for dynamic saliency prediction dubbed ``DAV…
Digging Deeper into Egocentric Gaze Prediction
Hamed R. Tavakoli, Esa Rahtu, Juho Kannala +1
This paper digs deeper into factors that influence egocentric gaze. Instead of training deep models for this purpose in a blind manner, we propose to inspect factors that contribut…
Rethinking the Evaluation of Video Summaries
Mayu Otani, Yuta Nakashima, Esa Rahtu +1
Video summarization is a technique to create a short skim of the original video while preserving the main stories/content. There exists a substantial interest in automatizing this…
Predicting Novel Views Using Generative Adversarial Query Network
Phong Nguyen-Ha, Lam Huynh, Esa Rahtu +1
The problem of predicting a novel view of the scene using an arbitrary number of observations is a challenging problem for computers as well as for humans. This paper introduces th…
ICface: Interpretable and Controllable Face Reenactment Using GANs
Soumya Tripathy, Juho Kannala, Esa Rahtu
This paper presents a generic face animator that is able to control the pose and expressions of a given face image. The animation is driven by human interpretable control signals c…