110 citations · 420 across the 55 of their papers we have counts for
9 papers · 1 filter
Supervised Deep Kriging for Single-Image Super-Resolution
Gianni Franchi, Angela Yao, Andreas Kolb
We propose a novel single-image super-resolution approach based on the geostatistical method of kriging. Kriging is a zero-bias minimum-variance estimator that performs spatial int…
Learning Style Compatibility for Furniture
Divyansh Aggarwal, Elchin Valiyev, Fadime Sener +1
When judging style, a key question that often arises is whether or not a pair of objects are compatible with each other. In this paper we investigate how Siamese networks can be us…
Scale-aware multi-level guidance for interactive instance segmentation
Soumajit Majumder, Angela Yao
In interactive instance segmentation, users give feedback to iteratively refine segmentation masks. The user-provided clicks are transformed into guidance maps which provide the ne…
Sequence Prediction using Spectral RNNs
Moritz Wolter, Juergen Gall, Angela Yao
Fourier methods have a long and proven track record as an excellent tool in data processing. As memory and computational constraints gain importance in embedded and mobile applicat…
Zero-Shot Anticipation for Instructional Activities
Fadime Sener, Angela Yao
How can we teach a robot to predict what will happen next for an activity it has never seen before? We address this problem of zero-shot anticipation by presenting a hierarchical m…
Disentangling Latent Hands for Image Synthesis and Pose Estimation
Linlin Yang, Angela Yao
Hand image synthesis and pose estimation from RGB images are both highly challenging tasks due to the large discrepancy between factors of variation ranging from image background c…
HANDS18: Methods, Techniques and Applications for Hand Observation
Iason Oikonomidis, Guillermo Garcia-Hernando, Angela Yao +3
This report outlines the proceedings of the Fourth International Workshop on Observing and Understanding Hands in Action (HANDS 2018). The fourth instantiation of this workshop att…
Complex Gated Recurrent Neural Networks
Moritz Wolter, Angela Yao
Complex numbers have long been favoured for digital signal processing, yet complex representations rarely appear in deep learning architectures. RNNs, widely used to process time s…
Unsupervised Learning and Segmentation of Complex Activities from Video
Fadime Sener, Angela Yao
This paper presents a new method for unsupervised segmentation of complex activities from video into multiple steps, or sub-activities, without any textual input. We propose an ite…