Pedersoli M., Timofte R., Tuytelaars T., Van Gool L., ''An elastic deformation field model for object detection and tracking'', Technical report KUL/ESAT/PSI/1402, KU Leuven, ESAT, April 2014, Leuven, Belgium.status: publishe
This paper presents a new statistical model for detecting and tracking deformable objects such as pe...
International audienceThis article proposes a flexible tracker which can estimate motion and deforma...
Abstract. We propose a clustering method that considers non-rigid alignment of samples. The motivati...
Deformable Parts Models (DPM) are the current state-of-the-art for object detection. Nevertheless th...
Abstract Deformable Parts Models (DPM) are the current state-of-the-art for object detection. Nevert...
Figure 1: Our system can capture and model deformation behavior of generic soft objects from kinemat...
Several popular and effective object detectors separately model intra-class variations arising from ...
Pedersoli M., Timofte R., Tuytelaars T., Van Gool L., ''An elastic deformation field model for objec...
We propose a dynamical model-based approach for tracking the shape and deformation of highly deformi...
International audienceDeformable Part Models (DPMs) play a prominent role in current object recognit...
The aim of this work is to learn generative models of object deformations in an unsupervised manner....
Abstract. The main stated contribution of the Deformable Parts Model (DPM) detector of Felzenszwalb ...
Deformable objects are everywhere. Faces, cars, bicy-cles, chairs etc. Recently, there has been a we...
Deformable objects are everywhere. Faces, cars, bicy-cles, chairs etc. Recently, there has been a we...
One challenge in computer vision is the joint reconstruction of deforming objects from colour and de...
This paper presents a new statistical model for detecting and tracking deformable objects such as pe...
International audienceThis article proposes a flexible tracker which can estimate motion and deforma...
Abstract. We propose a clustering method that considers non-rigid alignment of samples. The motivati...
Deformable Parts Models (DPM) are the current state-of-the-art for object detection. Nevertheless th...
Abstract Deformable Parts Models (DPM) are the current state-of-the-art for object detection. Nevert...
Figure 1: Our system can capture and model deformation behavior of generic soft objects from kinemat...
Several popular and effective object detectors separately model intra-class variations arising from ...
Pedersoli M., Timofte R., Tuytelaars T., Van Gool L., ''An elastic deformation field model for objec...
We propose a dynamical model-based approach for tracking the shape and deformation of highly deformi...
International audienceDeformable Part Models (DPMs) play a prominent role in current object recognit...
The aim of this work is to learn generative models of object deformations in an unsupervised manner....
Abstract. The main stated contribution of the Deformable Parts Model (DPM) detector of Felzenszwalb ...
Deformable objects are everywhere. Faces, cars, bicy-cles, chairs etc. Recently, there has been a we...
Deformable objects are everywhere. Faces, cars, bicy-cles, chairs etc. Recently, there has been a we...
One challenge in computer vision is the joint reconstruction of deforming objects from colour and de...
This paper presents a new statistical model for detecting and tracking deformable objects such as pe...
International audienceThis article proposes a flexible tracker which can estimate motion and deforma...
Abstract. We propose a clustering method that considers non-rigid alignment of samples. The motivati...
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