Search Results for author:
Found 8 papers, 3 papers with code
Text2Video-Zero: Text-to-Image Diffusion Models are Zero-Shot Video Generators
Recent text-to-video generation approaches rely on computationally heavy training and require large-scale video datasets.
LMGP: Lifted Multicut Meets Geometry Projections for Multi-Camera Multi-Object Tracking
Multi-Camera Multi-Object Tracking is currently drawing attention in the computer vision field due to its superior performance in real-world applications such as video surveillance in crowded scenes or in wide spaces.
Ranked #1 on
Object Tracking
on Wildtrack
Making Higher Order MOT Scalable: An Efficient Approximate Solver for Lifted Disjoint Paths
We present an efficient approximate message passing solver for the lifted disjoint paths problem (LDP), a natural but NP-hard model for multiple object tracking (MOT).
Lifted Disjoint Paths with Application in Multiple Object Tracking
We present an extension to the disjoint paths problem in which additional \emph{lifted} edges are introduced to provide path connectivity priors.
Ranked #2 on
Multi-Object Tracking
on 2D MOT 2015
Multiple People Tracking using Body and Joint Detections
We evaluate our framework on the MOT16/17 benchmark.
Ranked #29 on
Multi-Object Tracking
on MOT17
(MOTA metric)
Recovering Accurate 3D Human Pose in The Wild Using IMUs and a Moving Camera
In this work, we propose a method that combines a single hand-held camera and a set of Inertial Measurement Units (IMUs) attached at the body limbs to estimate accurate 3D poses in the wild.
Fusion of Head and Full-Body Detectors for Multi-Object Tracking
In order to track all persons in a scene, the tracking-by-detection paradigm has proven to be a very effective approach.
Ranked #21 on
Multi-Object Tracking
on MOT16
Tracking with multi-level features
We present a novel formulation of the multiple object tracking problem which integrates low and mid-level features.
