activity
20152026
most citedSurfaceNet: An End-to-end 3D Neural Network for Multiview Stereopsis

361 citations · 1.3k across the 81 of their papers we have counts for

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Showing 2018Show all

11 papers · 1 filter

cs.CV2018★ 16 cited

Human Motion Prediction via Spatio-Temporal Inpainting

Alejandro Hernandez Ruiz, Juergen Gall, Francesc Moreno-Noguer

We propose a Generative Adversarial Network (GAN) to forecast 3D human motion given a sequence of past 3D skeleton poses. While recent GANs have shown promising results, they can o…

cs.CV2018★ 9 cited

Convolutional Simplex Projection Network (CSPN) for Weakly Supervised Semantic Segmentation

Rania Briq, Michael Moeller, Juergen Gall

Weakly supervised semantic segmentation has been a subject of increased interest due to the scarcity of fully annotated images. We introduce a new approach for solving weakly super…

cs.CV2018

Are good local minima wide in sparse recovery?

Michael Moeller, Otmar Loffeld, Juergen Gall +1

The idea of compressed sensing is to exploit representations in suitable (overcomplete) dictionaries that allow to recover signals far beyond the Nyquist rate provided that they ad…

cs.CV2018★ 2 cited

Spatio-Temporal Channel Correlation Networks for Action Classification

Ali Diba, Mohsen Fayyaz, Vivek Sharma +4

The work in this paper is driven by the question if spatio-temporal correlations are enough for 3D convolutional neural networks (CNN)? Most of the traditional 3D networks use loca…

cs.CV2018

NeuralNetwork-Viterbi: A Framework for Weakly Supervised Video Learning

Alexander Richard, Hilde Kuehne, Ahsan Iqbal +1

Video learning is an important task in computer vision and has experienced increasing interest over the recent years. Since even a small amount of videos easily comprises several m…

cs.CV2018

AVID: Adversarial Visual Irregularity Detection

Mohammad Sabokrou, Masoud Pourreza, Mohsen Fayyaz +4

Real-time detection of irregularities in visual data is very invaluable and useful in many prospective applications including surveillance, patient monitoring systems, etc. With th…

cs.CV2018★ 28 cited

Joint Flow: Temporal Flow Fields for Multi Person Tracking

Andreas Doering, Umar Iqbal, Juergen Gall

In this work we propose an online multi person pose tracking approach which works on two consecutive frames and . The general formulation of our temporal network all…

cs.CV2018

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…

cs.CV2018★ 1 cited

When will you do what? - Anticipating Temporal Occurrences of Activities

Yazan Abu Farha, Alexander Richard, Juergen Gall

Analyzing human actions in videos has gained increased attention recently. While most works focus on classifying and labeling observed video frames or anticipating the very recent…

cs.CV2018

Two Stream 3D Semantic Scene Completion

Martin Garbade, Yueh-Tung Chen, Johann Sawatzky +1

Inferring the 3D geometry and the semantic meaning of surfaces, which are occluded, is a very challenging task. Recently, a first end-to-end learning approach has been proposed tha…

cs.CV2018

Structural Recurrent Neural Network (SRNN) for Group Activity Analysis

Sovan Biswas, Juergen Gall

A group of persons can be analyzed at various semantic levels such as individual actions, their interactions, and the activity of the entire group. In this paper, we propose a stru…