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. Hiding Images in their Spoken Narratives. . 2022. 
(15.23 MB)
(15.23 MB). Hyper-Representations as Generative Models: Sampling Unseen Neural Network Weights. In NeurIPS 2022 - Neural Information Processing Systems. 2022. (4.6 MB)
(4.6 MB). H3D-Net: Few-Shot High-Fidelity 3D Head Reconstruction. In International Conference on Computer Vision (ICCV). Virtual: IEEE/CVF; 2021. (6.08 MB)
(6.08 MB). How2Sign: A Large-scale Multimodal Dataset for Continuous American Sign Language. In CVPR 2021. 2021. (5.94 MB)
(5.94 MB). 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)
(1.91 MB). Hyperparameter-Free Losses for Model-Based Monocular Reconstruction. In ICCV 2019 Workshop on Geometry Meets Deep Learning. Seoul, South Corea: IEEE / Computer Vision Foundation; 2019. (749.7 KB)
(749.7 KB). HybridNet for Depth Estimation and Semantic Segmentation. In ICASSP 2018. Calgary, Alberta, Canada: IEEE; 2018. (1.14 MB)
(1.14 MB). Hierarchical Object Detection with Deep Reinforcement Learning. In Deep Learning for Image Processing Applications. Amsterdam, The Netherlands: IOS Press; 2017.
. Hierarchical stack filtering: a bitplane-based algorithm for massively parallel processors. Journal of Real-Time Image Processing. 2017;. (868.82 KB)
(868.82 KB). Half Hypersphere Confinement for Piecewise Linear Regression. In IEEE Winter Conference on Applications of Computer Vision. Lake Placid, NY, USA; 2016. (7.01 MB)
(7.01 MB). 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)
(3.11 MB). Hierarchical Object Detection with Deep Reinforcement Learning. In Deep Reinforcement Learning Workshop, NIPS 2016. 2016. (877.51 KB)
(877.51 KB). Hierarchical information representation and efficient classification of gene expression microarray data. . TSC. [Barcelona]: Universitat Politecnica de Catalunya; 2014. p. 150. (2.76 MB)
(2.76 MB). 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)
(435.72 KB). Hierarchical Video Representation with Trajectory Binary Partition Tree. In Computer Vision and Pattern Recognition (CVPR). Portland, Oregon; 2013. (4.69 MB)
(4.69 MB). Human body analysis using depth data. . Universitat Politècnica de Catalunya (UPC); 2013. (10.67 MB)
(10.67 MB). Hyperspectral image representation and processing with Binary Partition Trees. IEEE Transactions on Image Processing. 2013;22(4):1430 - 1443. (1.81 MB)
(1.81 MB). Hierarchical Navigation and Visual Search for Video Keyframe Retrieval. In Advances in Multimedia Modeling. Springer Berlin / Heidelberg; 2012. pp. 652-654.
. 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)
(394.77 KB). Human motion capture using scalable body models. Computer vision and image understanding. 2011;115:1363–1374.
. Hyperspectral image representation and Processing with Binary Partition Trees. . Universitat Politècnica de Catalunya (UPC); 2011. (20.92 MB)
(20.92 MB). Hyperspectral image segmentation using binary partition trees. In IEEE International Conference on Image Processing, ICIP 2011. Brussels, Belgium; 2011. pp. 1273–1276. (669.46 KB)
(669.46 KB). 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.
. 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)
(326.41 KB). 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.