activity
20162024
most citedA Multi-cut Formulation for Joint Segmentation and Tracking of Multiple Objects

72 citations · 93 across the 11 of their papers we have counts for

collaborators

5 papers

cs.CV20221 cited

ARAH: Animatable Volume Rendering of Articulated Human SDFs

Shaofei Wang, Katja Schwarz, Andreas Geiger +1

Combining human body models with differentiable rendering has recently enabled animatable avatars of clothed humans from sparse sets of multi-view RGB videos. While state-of-the-ar…

cs.CV2021

The Wanderings of Odysseus in 3D Scenes

Yan Zhang, Siyu Tang

Our goal is to populate digital environments, in which digital humans have diverse body shapes, move perpetually, and have plausible body-scene contact. The core challenge is to ge…

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.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…

cs.CV201672 cited

A Multi-cut Formulation for Joint Segmentation and Tracking of Multiple Objects

Margret Keuper, Siyu Tang, Yu Zhongjie +3

Recently, Minimum Cost Multicut Formulations have been proposed and proven to be successful in both motion trajectory segmentation and multi-target tracking scenarios. Both tasks b…