Harmony Potentials

By Xavier Boix, Josep M. Gonfaus, Joost van de Weijer, Andrew D. Bagdanov, Joan Serrat Gual, Jordi Gonzàlez. 2011

96 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

Citations in the corpus

Simultaneous Detection and Segmentation (2014, background): “[3] who added a global, image-level node in the CRF to reason about the categories present in the image, and by Kim et al.”
Ontology-Based Semantic Image Segmentation Using Mixture Models and Multiple CRFs (2016, methodology): “With the hope of obtaining more discriminative representations, the low-level bottom-up and global top-down features were adopted to be exploited and integrated into a segmentation model [27], [31].”
Amodal Instance Segmentation (2016, background): “A diverse range of approaches for this problem have been developed; earlier approaches extend CRF-based formulations [24,22,3], consider combining object detections with region proposals [15], scoring groupings of over-segmented regions [35], ag-gregating information from multiple…”
Beyond Bounding Boxes: Precise Localization of Objects in Images (2015, methodology): “This system was extended by Boix et al.[5] who added a global, image-level node in the CRF to reason about the categories present in the image, and by Kim et al.[38] who added relationships between objects.”
Towards Unified Object Detection and Semantic Segmentation (2014, unknown): “Object detection and semantic segmentation are two core tasks of visual recognition [13,19,36,3,42,6,35].”
SEEDS: Superpixels Extracted Via Energy-Driven Sampling (2012, background): “1 Introduction Many computer vision applications benefit from working with superpixels instead of just pixels [1,2,3].”