143 citations · 160 across the 16 of their papers we have counts for
5 papers · 1 filter
Self-supervised Object-Centric Learning for Videos
Görkay Aydemir, Weidi Xie, Fatma Güney
Unsupervised multi-object segmentation has shown impressive results on images by utilizing powerful semantics learned from self-supervised pretraining. An additional modality such…
Privileged to Predicted: Towards Sensorimotor Reinforcement Learning for Urban Driving
Ege Onat Özsüer, Barış Akgün, Fatma Güney
Reinforcement Learning (RL) has the potential to surpass human performance in driving without needing any expert supervision. Despite its promise, the state-of-the-art in sensorimo…
ADAPT: Efficient Multi-Agent Trajectory Prediction with Adaptation
Görkay Aydemir, Adil Kaan Akan, Fatma Güney
Forecasting future trajectories of agents in complex traffic scenes requires reliable and efficient predictions for all agents in the scene. However, existing methods for trajector…
Multi-Object Discovery by Low-Dimensional Object Motion
Sadra Safadoust, Fatma Güney
Recent work in unsupervised multi-object segmentation shows impressive results by predicting motion from a single image despite the inherent ambiguity in predicting motion without…
DepthP+P: Metric Accurate Monocular Depth Estimation using Planar and Parallax
Sadra Safadoust, Fatma Güney
Current self-supervised monocular depth estimation methods are mostly based on estimating a rigid-body motion representing camera motion. These methods suffer from the well-known s…