activity
20142022
most citedLearning What and Where to Draw

210 citations · 672 across the 21 of their papers we have counts for

collaborators
Showing 2016Show all

8 papers · 1 filter

cs.CV2016

EgoCap: Egocentric Marker-less Motion Capture with Two Fisheye Cameras (Extended Abstract)

Helge Rhodin, Christian Richardt, Dan Casas +5

Marker-based and marker-less optical skeletal motion-capture methods use an outside-in arrangement of cameras placed around a scene, with viewpoints converging on the center. They…

cs.CV20162 cited

Analysis and Optimization of Loss Functions for Multiclass, Top-k, and Multilabel Classification

Maksim Lapin, Matthias Hein, Bernt Schiele

Top-k error is currently a popular performance measure on large scale image classification benchmarks such as ImageNet and Places. Despite its wide acceptance, our understanding of…

cs.CV201615 cited

Joint Graph Decomposition and Node Labeling: Problem, Algorithms, Applications

Evgeny Levinkov, Jonas Uhrig, Siyu Tang +7

We state a combinatorial optimization problem whose feasible solutions define both a decomposition and a node labeling of a given graph. This problem offers a common mathematical a…

cs.CV2016210 cited

Learning What and Where to Draw

Scott Reed, Zeynep Akata, Santosh Mohan +3

Generative Adversarial Networks (GANs) have recently demonstrated the capability to synthesize compelling real-world images, such as room interiors, album covers, manga, faces, bir…

cs.CV20167 cited

EgoCap: Egocentric Marker-less Motion Capture with Two Fisheye Cameras

Helge Rhodin, Christian Richardt, Dan Casas +5

Marker-based and marker-less optical skeletal motion-capture methods use an outside-in arrangement of cameras placed around a scene, with viewpoints converging on the center. They…

cs.CV20162 cited

Multi-Person Tracking by Multicut and Deep Matching

Siyu Tang, Bjoern Andres, Mykhaylo Andriluka +1

In [1], we proposed a graph-based formulation that links and clusters person hypotheses over time by solving a minimum cost subgraph multicut problem. In this paper, we modify and…