508 citations · 748 across the 20 of their papers we have counts for
9 papers · 1 filter
IamNN: Iterative and Adaptive Mobile Neural Network for Efficient Image Classification
Sam Leroux, Pavlo Molchanov, Pieter Simoens +3
Deep residual networks (ResNets) made a recent breakthrough in deep learning. The core idea of ResNets is to have shortcut connections between layers that allow the network to be m…
Hand Pose Estimation via Latent 2.5D Heatmap Regression
Umar Iqbal, Pavlo Molchanov, Thomas Breuel +2
Estimating the 3D pose of a hand is an essential part of human-computer interaction. Estimating 3D pose using depth or multi-view sensors has become easier with recent advances in…
Unsupervised Image-to-Image Translation Networks
Ming-Yu Liu, Thomas Breuel, Jan Kautz
Unsupervised image-to-image translation aims at learning a joint distribution of images in different domains by using images from the marginal distributions in individual domains.…
Active Canny: Edge Detection and Recovery with Open Active Contour Models
Muhammet Bastan, S. Saqib Bukhari, Thomas M. Breuel
We introduce an edge detection and recovery framework based on open active contour models (snakelets). This is motivated by the noisy or broken edges output by standard edge detect…
Combining the Best of Convolutional Layers and Recurrent Layers: A Hybrid Network for Semantic Segmentation
Zhicheng Yan, Hao Zhang, Yangqing Jia +2
State-of-the-art results of semantic segmentation are established by Fully Convolutional neural Networks (FCNs). FCNs rely on cascaded convolutional and pooling layers to gradually…
Symbol Grounding Association in Multimodal Sequences with Missing Elements
Federico Raue, Andreas Dengel, Thomas M. Breuel +1
In this paper, we extend a symbolic association framework for being able to handle missing elements in multimodal sequences. The general scope of the work is the symbolic associati…