Search Publication

Export 50 results:
Author [ Title(Desc)] Type Year
Filters: First Letter Of Title is H  [Clear All Filters]
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 
H
Ramon E, Triginer G, Escur J, Pumarola A, Garcia J, Giró-i-Nieto X, et al.. H3D-Net: Few-Shot High-Fidelity 3D Head Reconstruction. In International Conference on Computer Vision (ICCV). Virtual: IEEE/CVF; 2021.  (6.08 MB)
Perez-Pellitero E, Salvador J, Ruiz-Hidalgo J, Rosenhahn B. Half Hypersphere Confinement for Piecewise Linear Regression. In IEEE Winter Conference on Applications of Computer Vision. Lake Placid, NY, USA; 2016.  (7.01 MB)
Fernàndez D, Campos V, Jou B, Giró-i-Nieto X, Chang S-F. Is a “happy dog” more “happy” than “dog”? - Adjective and Noun Contributions for Adjective-Noun Pair prediction. NIPS Women in Machine Learning Workshop. Barcelona; 2016.  (3.11 MB)
Oriol B, Canton-Ferrer C, Giró-i-Nieto X. Hate Speech in Pixels: Detection of Offensive Memes towards Automatic Moderation. In NeurIPS 2019 Workshop on AI for Social Good. Vancouver, Canada; 2019.  (1.91 MB)
Canton-Ferrer C, Casas J, Pardàs M. Head Orientation Estimation Using Particle Filtering in Multiview Scenarios. In Multimodal Technologies for Perception of Humans. Berlin / Heidelberg: Springer; 2008. pp. 317–327.
Canton-Ferrer C, Casas J, Pardàs M. Head Orientation Estimation using Particle Filtering in Multiview Scenarios. In CLEAR'07 Second International Evaluation Workshop on Classification of Events, Activities and Relationships. 2007. pp. 1–11.
Canton-Ferrer C, Casas J, Pardàs M. Head Pose Detection based on Fusion of Multiple Viewpoint Information. In Multimodal Technologies for Perception of Humans. Berlin / Heidelberg: Springer; 2007. pp. 305–310.
Canton-Ferrer C, Casas J, Pardàs M. Head Pose Detection based on Fusion of Multiple Viewpoint Information. In CLEAR'06 Evaluation Campaign and Workshop - Classification of Events, Activities and Relationships. 2006. pp. 305–310.
Domenech T. Hiding Images in their Spoken Narratives. McGuinness K, Pons J, Giró-i-Nieto X. 2022.  (15.23 MB)
Benediktsson J, Bruzzone L, Chanussot J, Dalla Mura M, Salembier P, Valero S. Hierarchical analysis of remote sensing data: morphological attribute profiles and binary partition trees. In International Symposium on Mathematical Morphology 2011. Intra, Lake Maggiore, Italy; 2011. pp. 306–319.  (394.77 KB)
Bosio M, Salembier P, Bellot P, Oliveras A. Hierarchical Clustering Combining Numerical and Biological Similarities for Gene Expression Data Classification. In 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’13) . Osaka, Japan: IEEE EMBS; 2013.  (435.72 KB)
Calderero F, Marqués F. Hierarchical fusion of color and depth information at partition level by cooperative region merging. In IEEE International Conference on Acoustics, Speech and Signal Processing 2009. 2009. pp. 973–976.
Marqués F, Gasull A, Vera V. Hierarchical image sequence model for segmentation: application to region-based sequence coding. In VISUAL COMMUNICATION AND IMAGE PROCESSING. 1994. pp. 554–563.
Bosio M. Hierarchical information representation and efficient classification of gene expression microarray data. Salembier P, Oliveras A. TSC. [Barcelona]: Universitat Politecnica de Catalunya; 2014. p. 150.  (2.76 MB)
Salembier P, Pardàs M. Hierarchical morphological segmentation for image sequence coding. IEEE transactions on image processing. 1994;3:639–651.
Ventura C, Martos M, Giró-i-Nieto X, Vilaplana V, Marqués F. Hierarchical Navigation and Visual Search for Video Keyframe Retrieval. In Advances in Multimedia Modeling. Springer Berlin / Heidelberg; 2012. pp. 652-654.
Bellver M, Giró-i-Nieto X, Marqués F, Torres J. Hierarchical Object Detection with Deep Reinforcement Learning. In Deep Reinforcement Learning Workshop, NIPS 2016. 2016.  (877.51 KB)
Bellver M, Giró-i-Nieto X, Marqués F, Torres J. Hierarchical Object Detection with Deep Reinforcement Learning. In Deep Learning for Image Processing Applications. Amsterdam, The Netherlands: IOS Press; 2017.
Dorea C, Pardàs M, Marqués F. Hierarchical partition-based representations for image sequences using trajectory merging criteria. In 2007 International Conference on Acoustics, Speech and Signal Processing. 2007.
Chang C. Hierarchical Partition-Based Representations of Motion-Coherent Regions For Video Object Segmentation. Pardàs M, Marqués F. Universitat Politècnica de Catalunya (UPC); 2007.
Garrido L. Hierarchical Region Based Processing of Images and Video Sequences: Application to Filtering, Segmentation and Information Retrieval. Salembier P. Universitat Politècnica de Catalunya (UPC); 2002.
Dimiccoli M, Salembier P. Hierarchical region-based representation for segmentation and filtering with depth in single images. In IEEE International Conference on Image Processing, ICIP 2009. Cairo, Egypt; 2009.  (326.41 KB)
Landabaso J-L, Pardàs M. Hierarchical Representation of Scenes using Activity Information. In 2005 IEEE International Conference on Acoustics, Speech, and Signal Processing. 2005. pp. 677–680.
Calderero F, Marqués F, Marcello J, Eugenio F. Hierarchical segmentation of vegetation areas in high spatial resolution images by fusion of multispectral information. In 2009 IEEE International Geoscience and Remote Sensing Symposium. 2009. pp. 232–235.
Frias-Velazquez A, Morros JR, García M, Philips W. Hierarchical stack filtering: a bitplane-based algorithm for massively parallel processors. Journal of Real-Time Image Processing. 2017;.  (868.82 KB)

Pages