output
20132022
most citedMulti-Task Learning for Dense Prediction Tasks: A Survey

801 citations

Showing 2019 · cs.CVShow all

5 papers · 2 filters

cs.CV2019★ 3 cited

Self-supervised Object Motion and Depth Estimation from Video

Qi Dai, Vaishakh Patil, Simon Hecker +3

We present a self-supervised learning framework to estimate the individual object motion and monocular depth from video. We model the object motion as a 6 degree-of-freedom rigid-b…

cs.CV2019★ 80 cited

Semantic Understanding of Foggy Scenes with Purely Synthetic Data

Martin Hahner, Dengxin Dai, Christos Sakaridis +2

This work addresses the problem of semantic scene understanding under foggy road conditions. Although marked progress has been made in semantic scene understanding over the recent…

cs.CV2019★ 2 cited

Dual Grid Net: hand mesh vertex regression from single depth maps

Chengde Wan, Thomas Probst, Luc Van Gool +1

We present a method for recovering the dense 3D surface of the hand by regressing the vertex coordinates of a mesh model from a single depth map. To this end, we use a two-stage 2D…

cs.CV2019★ 61 cited

Weighted Mean Curvature

Yuanhao Gong, Orcun Goksel

In image processing tasks, spatial priors are essential for robust computations, regularization, algorithmic design and Bayesian inference. In this paper, we introduce weighted mea…

cs.CV2019★ 48 cited

Precise Proximal Femur Fracture Classification for Interactive Training and Surgical Planning

Amelia Jiménez-Sánchez, Anees Kazi, Shadi Albarqouni +5

We demonstrate the feasibility of a fully automatic computer-aided diagnosis (CAD) tool, based on deep learning, that localizes and classifies proximal femur fractures on X-ray ima…