Author |
Title |
Year |
Publication |
Volume |
Pages |
Xavier Soria; Angel Sappa |
Improving Edge Detection in RGB Images by Adding NIR Channel |
2018 |
14th IEEE International Conference on Signal Image Technology & Internet Based System |
|
|
Patricia Suarez; Angel Sappa; Boris X. Vintimilla |
Cross-spectral image dehaze through a dense stacked conditional GAN based approach |
2018 |
14th IEEE International Conference on Signal Image Technology & Internet Based System |
|
|
Jorge Charco; Boris X. Vintimilla; Angel Sappa |
Deep learning based camera pose estimation in multi-view environment |
2018 |
14th IEEE International Conference on Signal Image Technology & Internet Based System |
|
|
Cristina Palmero; Javier Selva; Mohammad Ali Bagheri; Sergio Escalera |
Recurrent CNN for 3D Gaze Estimation using Appearance and Shape Cues |
2018 |
29th British Machine Vision Conference |
|
|
Gabriela Ramirez; Esau Villatoro; Bogdan Ionescu; Hugo Jair Escalante; Sergio Escalera; Martha Larson; Henning Muller; Isabelle Guyon |
Overview of the Multimedia Information Processing for Personality & Social Networks Analysis Contes |
2018 |
Multimedia Information Processing for Personality and Social Networks Analysis (MIPPSNA 2018) |
|
|
Rain Eric Haamer; Eka Rusadze; Iiris Lusi; Tauseef Ahmed; Sergio Escalera; Gholamreza Anbarjafari |
Review on Emotion Recognition Databases |
2018 |
Human-Robot Interaction: Theory and Application |
|
|
Suman Ghosh |
Word Spotting and Recognition in Images from Heterogeneous Sources A |
2018 |
PhD Thesis, Universitat Autonoma de Barcelona-CVC |
|
|
Gholamreza Anbarjafari; Sergio Escalera |
Human-Robot Interaction: Theory and Application |
2018 |
Human-Robot Interaction: Theory and Application |
|
|
Laura Lopez-Fuentes; Alessandro Farasin; Harald Skinnemoen; Paolo Garza |
Deep Learning models for passability detection of flooded roads |
2018 |
MediaEval 2018 Multimedia Benchmark Workshop |
2283 |
|
Antonio Lopez |
Pedestrian Detection Systems |
2018 |
Wiley Encyclopedia of Electrical and Electronics Engineering |
|
|
Md. Mostafa Kamal Sarker; Mohammed Jabreel; Hatem A. Rashwan; Syeda Furruka Banu; Antonio Moreno; Petia Radeva; Domenec Puig |
CuisineNet: Food Attributes Classification using Multi-scale Convolution Network. |
2018 |
Arxiv |
|
|
Ozan Caglayan; Adrien Bardet; Fethi Bougares; Loic Barrault; Kai Wang; Marc Masana; Luis Herranz; Joost Van de Weijer |
LIUM-CVC Submissions for WMT18 Multimodal Translation Task |
2018 |
3rd Conference on Machine Translation |
|
|
Hugo Prol; Vincent Dumoulin; Luis Herranz |
Cross-Modulation Networks for Few-Shot Learning |
2018 |
Arxiv |
|
|
Luis Herranz; Weiqing Min; Shuqiang Jiang |
Food recognition and recipe analysis: integrating visual content, context and external knowledge |
2018 |
Arxiv |
|
|
Spyridon Bakas; Mauricio Reyes; Andras Jakab; Stefan Bauer; Markus Rempfler; Alessandro Crimi; Russell Takeshi Shinohara; Christoph Berger; Sung Min Ha; Martin Rozycki; Marcel Prastawa; Esther Alberts; Jana Lipkova; John Freymann; Justin Kirby; Michel Bilello; Hassan Fathallah-Shaykh; Roland Wiest; Jan Kirschke; Benedikt Wiestler; Rivka Colen; Aikaterini Kotrotsou; Pamela Lamontagne; Daniel Marcus; Mikhail Milchenko; Arash Nazeri; Marc-Andre Weber; Abhishek Mahajan; Ujjwal Baid; Dongjin Kwon; Manu Agarwal; Mahbubul Alam; Alberto Albiol; Antonio Albiol; Varghese Alex; Tuan Anh Tran; Tal Arbel; Aaron Avery; Subhashis Banerjee; Thomas Batchelder; Kayhan Batmanghelich; Enzo Battistella; Martin Bendszus; Eze Benson; Jose Bernal; George Biros; Mariano Cabezas; Siddhartha Chandra; Yi-Ju Chang; Joseph Chazalon; Shengcong Chen; Wei Chen; Jefferson Chen; Kun Cheng; Meinel Christoph; Roger Chylla; Albert Clérigues; Anthony Costa; Xiaomeng Cui; Zhenzhen Dai; Lutao Dai; Eric Deutsch; Changxing Ding; Chao Dong; Wojciech Dudzik; Theo Estienne; Hyung Eun Shin; Richard Everson; Jonathan Fabrizio; Longwei Fang; Xue Feng; Lucas Fidon; Naomi Fridman; Huan Fu; David Fuentes; David G Gering; Yaozong Gao; Evan Gates; Amir Gholami; Mingming Gong; Sandra Gonzalez-Villa; J Gregory Pauloski; Yuanfang Guan; Sheng Guo; Sudeep Gupta; Meenakshi H Thakur; Klaus H Maier-Hein; Woo-Sup Han; Huiguang He; Aura Hernandez-Sabate; Evelyn Herrmann; Naveen Himthani; Winston Hsu; Cheyu Hsu; Xiaojun Hu; Xiaobin Hu; Yan Hu; Yifan Hu; Rui Hua |
Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge |
2018 |
Arxiv |
|
|