Luis Herranz - RankMe

143 papers A* 17A 3B 5C 3Misc 4Journal 86Unranked 25

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	SyncLight: Controllable and Consistent Multi-View Relighting. CoRR David Serrano-Lozano, Anand Bhattad, Luis Herranz, Jean-François Lalonde, Javier Vazquez-Corral
2026	J	`jnl`	Text and Non-Text Latent Feature Disentanglement for Screen Content Image Compression. IEEE Trans. Circuits Syst. Video Technol. Hao Wang, Junyan Huo, Fei Yang, Shuai Wan, Gaoxing Chen, Kun Yang, Luis Herranz, Fuzheng Yang
2025	J	`jnl`	Curriculum learning-based slimmable cross-component prediction for video coding. Neurocomputing Chengyi Zou, Shuai Wan, Marc Górriz Blanch, Luka Murn, Juil Sock, Fei Yang, Luis Herranz
2025	J	`jnl`	Enhanced neural video compression for cloud gaming videos with aligned frame generation. Expert Syst. Appl. Yifan Wang, Fei Yang, Luka Murn, Juil Sock, Marc Górriz Blanch, Shuai Wan, Wei Zhang, Fuzheng Yang, Luis Herranz
2025	J	`jnl`	Lightweight Deep Exemplar Colorization via Semantic Attention-Guided Laplacian Pyramid. IEEE Trans. Vis. Comput. Graph. Chengyi Zou, Shuai Wan, Marc Górriz Blanch, Luka Murn, Marta Mrak, Juil Sock, Fei Yang, Luis Herranz
2025	J	`jnl`	Revisiting Image Fusion for Multi-Illuminant White-Balance Correction. CoRR David Serrano-Lozano, Aditya Arora, Luis Herranz, Konstantinos G. Derpanis, Michael S. Brown, Javier Vazquez-Corral
2024	J	`jnl`	A slimmable framework for practical neural video compression. Neurocomputing Zhaocheng Liu, Fei Yang, Defa Wang, Marc Górriz Blanch, Luka Murn, Shuai Wan, Saiping Zhang, Marta Mrak, Luis Herranz
2024	J	`jnl`	Adaptive Blind All-in-One Image Restoration. CoRR David Serrano-Lozano, Luis Herranz, Shaolin Su, Javier Vazquez-Corral
2024	J	`jnl`	Chroma Intra Prediction With Lightweight Attention-Based Neural Networks. IEEE Trans. Circuits Syst. Video Technol. Chengyi Zou, Shuai Wan, Tiannan Ji, Marc Górriz Blanch, Marta Mrak, Luis Herranz
2024	J	`jnl`	Main product detection with graph networks for fashion. Multim. Tools Appl. Vacit Oguz Yazici, Longlong Yu, Arnau Ramisa, Luis Herranz, Joost van de Weijer
2024	J	`jnl`	MineGAN++: Mining Generative Models for Efficient Knowledge Transfer to Limited Data Domains. Int. J. Comput. Vis. Yaxing Wang, Abel Gonzalez-Garcia, Chenshen Wu, Luis Herranz, Fahad Shahbaz Khan, Shangling Jui, Jian Yang, Joost van de Weijer
2024	—	`conf`	NamedCurves: Learned Image Enhancement via Color Naming. ECCV (71) David Serrano-Lozano, Luis Herranz, Michael S. Brown, Javier Vazquez-Corral
2024	J	`jnl`	NamedCurves: Learned Image Enhancement via Color Naming. CoRR David Serrano-Lozano, Luis Herranz, Michael S. Brown, Javier Vazquez-Corral
2024	J	`jnl`	Palette-Based Color Harmonization via Color Naming. IEEE Signal Process. Lett. Danna Xue, Javier Vazquez-Corral, Luis Herranz, Yanning Zhang, Michael S. Brown
2024	C	`conf`	Rate Control for Slimmable Video Codec using Multilayer Perceptron. ISCAS Defa Wang, Zhiwei Zhu, Shuai Wan, Fei Yang, Luis Herranz
2024	J	`jnl`	Task-Switchable Pre-Processor for Image Compression for Multiple Machine Vision Tasks. IEEE Trans. Circuits Syst. Video Technol. Mingyi Yang, Fei Yang, Luka Murn, Marc Górriz Blanch, Juil Sock, Shuai Wan, Fuzheng Yang, Luis Herranz
2023	Misc	`conf`	Burst Perception-Distortion Tradeoff: Analysis and Evaluation. ICASSP Danna Xue, Luis Herranz, Javier Vazquez-Corral, Yanning Zhang
2023	J	`jnl`	Casting a BAIT for offline and online source-free domain adaptation. Comput. Vis. Image Underst. Shiqi Yang, Yaxing Wang, Luis Herranz, Shangling Jui, Joost van de Weijer
2023	Misc	`conf`	Efficient Super-Resolution for Compression Of Gaming Videos. ICASSP Yifan Wang, Luka Murn, Luis Herranz, Fei Yang, Marta Mrak, Wei Zhang, Shuai Wan, Marc Górriz Blanch
2023	J	`jnl`	Integrating High-Level Features for Consistent Palette-based Multi-image Recoloring. Comput. Graph. Forum D. Xue, Javier Vazquez-Corral, Luis Herranz, Y. Zhang, Michael S. Brown
2023	Misc	`conf`	Semantic Preprocessor for Image Compression for Machines. ICASSP Mingyi Yang, Luis Herranz, Fei Yang, Luka Murn, Marc Górriz Blanch, Shuai Wan, Fuzheng Yang, Marta Mrak
2023	J	`jnl`	Trust Your Good Friends: Source-Free Domain Adaptation by Reciprocal Neighborhood Clustering. IEEE Trans. Pattern Anal. Mach. Intell. Shiqi Yang, Yaxing Wang, Joost van de Weijer, Luis Herranz, Shangling Jui, Jian Yang
2023	J	`jnl`	Trust your Good Friends: Source-free Domain Adaptation by Reciprocal Neighborhood Clustering. CoRR Shiqi Yang, Yaxing Wang, Joost van de Weijer, Luis Herranz, Shangling Jui, Jian Yang
2022	J	`jnl`	A novel framework for image-to-image translation and image compression. Neurocomputing Fei Yang, Yaxing Wang, Luis Herranz, Yongmei Cheng, Mikhail G. Mozerov
2022	Misc	`conf`	DCNGAN: A Deformable Convolution-Based GAN with QP Adaptation for Perceptual Quality Enhancement of Compressed Video. ICASSP Saiping Zhang, Luis Herranz, Marta Mrak, Marc Górriz Blanch, Shuai Wan, Fuzheng Yang
2022	J	`jnl`	DCNGAN: A Deformable Convolutional-Based GAN with QP Adaptation for Perceptual Quality Enhancement of Compressed Video. CoRR Saiping Zhang, Luis Herranz, Marta Mrak, Marc Górriz Blanch, Shuai Wan, Fuzheng Yang
2022	—	`conf`	Incremental Meta-Learning via Episodic Replay Distillation for Few-Shot Image Recognition. CVPR Workshops Kai Wang, Xialei Liu, Andy Bagdanov, Luis Herranz, Shangling Jui, Joost van de Weijer
2022	J	`jnl`	Main Product Detection with Graph Networks for Fashion. CoRR Vacit Oguz Yazici, Longlong Yu, Arnau Ramisa, Luis Herranz, Joost van de Weijer
2022	J	`jnl`	PeQuENet: Perceptual Quality Enhancement of Compressed Video with Adaptation- and Attention-based Network. CoRR Saiping Zhang, Luis Herranz, Marta Mrak, Marc Górriz Blanch, Shuai Wan, Fuzheng Yang
2022	A*	`conf`	SlimSeg: Slimmable Semantic Segmentation with Boundary Supervision. ACM Multimedia Danna Xue, Fei Yang, Pei Wang, Luis Herranz, Jinqiu Sun, Yu Zhu, Yanning Zhang
2022	J	`jnl`	SlimSeg: Slimmable Semantic Segmentation with Boundary Supervision. CoRR Danna Xue, Fei Yang, Pei Wang, Luis Herranz, Jinqiu Sun, Yu Zhu, Yanning Zhang
2022	—	`conf`	Slimmable Video Codec. CVPR Workshops Zhaocheng Liu, Luis Herranz, Fei Yang, Saiping Zhang, Shuai Wan, Marta Mrak, Marc Górriz Blanch
2022	J	`jnl`	Slimmable Video Codec. CoRR Zhaocheng Liu, Luis Herranz, Fei Yang, Saiping Zhang, Shuai Wan, Marta Mrak, Marc Górriz Blanch
2022	B	`conf`	Towards Lightweight Neural Network-based Chroma Intra Prediction for Video Coding. ICIP Chengyi Zou, Shuai Wan, Marta Mrak, Marc Górriz Blanch, Luis Herranz, Tiannan Ji
2021	J	`jnl`	A Novel Framework for Image-to-image Translation and Image Compression. CoRR Fei Yang, Yaxing Wang, Luis Herranz, Yongmei Cheng, Mikhail G. Mozerov
2021	J	`jnl`	ACAE-REMIND for Online Continual Learning with Compressed Feature Replay. CoRR Kai Wang, Luis Herranz, Joost van de Weijer
2021	J	`jnl`	ACAE-REMIND for online continual learning with compressed feature replay. Pattern Recognit. Lett. Kai Wang, Joost van de Weijer, Luis Herranz
2021	—	`conf`	Continual Learning in Cross-Modal Retrieval. CVPR Workshops Kai Wang, Luis Herranz, Joost van de Weijer
2021	J	`jnl`	Continual learning in cross-modal retrieval. CoRR Kai Wang, Luis Herranz, Joost van de Weijer
2021	J	`jnl`	Controlling biases and diversity in diverse image-to-image translation. Comput. Vis. Image Underst. Yaxing Wang, Abel Gonzalez-Garcia, Luis Herranz, Joost van de Weijer
2021	—	`conf`	DANICE: Domain Adaptation Without Forgetting in Neural Image Compression. CVPR Workshops Sudeep Katakol, Luis Herranz, Fei Yang, Marta Mrak
2021	J	`jnl`	DANICE: Domain adaptation without forgetting in neural image compression. CoRR Sudeep Katakol, Luis Herranz, Fei Yang, Marta Mrak
2021	C	`conf`	DVC-P: Deep Video Compression with Perceptual Optimizations. VCIP Saiping Zhang, Marta Mrak, Luis Herranz, Marc Górriz Blanch, Shuai Wan, Fuzheng Yang
2021	J	`jnl`	DVC-P: Deep Video Compression with Perceptual Optimizations. CoRR Saiping Zhang, Marta Mrak, Luis Herranz, Marc Górriz, Shuai Wan, Fuzheng Yang
2021	J	`jnl`	Distributed Learning and Inference With Compressed Images. IEEE Trans. Image Process. Sudeep Katakol, Basem Elbarashy, Luis Herranz, Joost van de Weijer, Antonio M. López
2021	A*	`conf`	Exploiting the Intrinsic Neighborhood Structure for Source-free Domain Adaptation. NeurIPS Shiqi Yang, Yaxing Wang, Joost van de Weijer, Luis Herranz, Shangling Jui
2021	J	`jnl`	Exploiting the Intrinsic Neighborhood Structure for Source-free Domain Adaptation. CoRR Shiqi Yang, Yaxing Wang, Joost van de Weijer, Luis Herranz, Shangling Jui
2021	A*	`conf`	Generalized Source-free Domain Adaptation. ICCV Shiqi Yang, Yaxing Wang, Joost van de Weijer, Luis Herranz, Shangling Jui
2021	J	`jnl`	Generalized Source-free Domain Adaptation. CoRR Shiqi Yang, Yaxing Wang, Joost van de Weijer, Luis Herranz, Shangling Jui
2021	A	`conf`	HCV: Hierarchy-Consistency Verification for Incremental Implicitly-Refined Classification. BMVC Kai Wang, Xialei Liu, Luis Herranz, Joost van de Weijer
2021	J	`jnl`	HCV: Hierarchy-Consistency Verification for Incremental Implicitly-Refined Classification. CoRR Kai Wang, Xialei Liu, Luis Herranz, Joost van de Weijer
2021	J	`jnl`	Incremental Meta-Learning via Episodic Replay Distillation for Few-Shot Image Recognition. CoRR Kai Wang, Xialei Liu, Andrew D. Bagdanov, Luis Herranz, Shangling Jui, Joost van de Weijer
2021	J	`jnl`	MineGAN++: Mining Generative Models for Efficient Knowledge Transfer to Limited Data Domains. CoRR Yaxing Wang, Abel Gonzalez-Garcia, Chenshen Wu, Luis Herranz, Fahad Shahbaz Khan, Shangling Jui, Joost van de Weijer
2021	J	`jnl`	On Implicit Attribute Localization for Generalized Zero-Shot Learning. CoRR Shiqi Yang, Kai Wang, Luis Herranz, Joost van de Weijer
2021	J	`jnl`	On Implicit Attribute Localization for Generalized Zero-Shot Learning. IEEE Signal Process. Lett. Shiqi Yang, Kai Wang, Luis Herranz, Joost van de Weijer
2021	A*	`conf`	Slimmable Compressive Autoencoders for Practical Neural Image Compression. CVPR Fei Yang, Luis Herranz, Yongmei Cheng, Mikhail G. Mozerov
2021	J	`jnl`	Slimmable Compressive Autoencoders for Practical Neural Image Compression. CoRR Fei Yang, Luis Herranz, Yongmei Cheng, Mikhail G. Mozerov
2021	—	`conf`	Spatial Information Refinement for Chroma Intra Prediction in Video Coding. APSIPA ASC Chengyi Zou, Shuai Wan, Tiannan Ji, Marta Mrak, Marc Górriz Blanch, Luis Herranz
2021	J	`jnl`	Spatial Information Refinement for Chroma Intra Prediction in Video Coding. CoRR Chengyi Zou, Shuai Wan, Tiannan Ji, Marta Mrak, Marc Górriz Blanch, Luis Herranz
2020	J	`jnl`	Bookworm continual learning: beyond zero-shot learning and continual learning. CoRR Kai Wang, Luis Herranz, Anjan Dutta, Joost van de Weijer
2020	J	`jnl`	Distributed Learning and Inference with Compressed Images. CoRR Sudeep Katakol, Basem Elbarashy, Luis Herranz, Joost van de Weijer, Antonio M. López
2020	A*	`conf`	Generalized Zero-shot Learning with Multi-source Semantic Embeddings for Scene Recognition. ACM Multimedia Xinhang Song, Haitao Zeng, Sixian Zhang, Luis Herranz, Shuqiang Jiang
2020	—	`conf`	Generative Feature Replay For Class-Incremental Learning. CVPR Workshops Xialei Liu, Chenshen Wu, Mikel Menta, Luis Herranz, Bogdan Raducanu, Andrew D. Bagdanov, Shangling Jui, Joost van de Weijer
2020	J	`jnl`	Generative Feature Replay For Class-Incremental Learning. CoRR Xialei Liu, Chenshen Wu, Mikel Menta, Luis Herranz, Bogdan Raducanu, Andrew D. Bagdanov, Shangling Jui, Joost van de Weijer
2020	A*	`conf`	MineGAN: Effective Knowledge Transfer From GANs to Target Domains With Few Images. CVPR Yaxing Wang, Abel Gonzalez-Garcia, David Berga, Luis Herranz, Fahad Shahbaz Khan, Joost van de Weijer
2020	J	`jnl`	Mix and Match Networks: Cross-Modal Alignment for Zero-Pair Image-to-Image Translation. Int. J. Comput. Vis. Yaxing Wang, Luis Herranz, Joost van de Weijer
2020	J	`jnl`	Multifaceted Analysis of Fine-Tuning in a Deep Model for Visual Recognition. Trans. Data Sci. Xiangyang Li, Luis Herranz, Shuqiang Jiang
2020	A*	`conf`	Semantic Drift Compensation for Class-Incremental Learning. CVPR Lu Yu, Bartlomiej Twardowski, Xialei Liu, Luis Herranz, Kai Wang, Yongmei Cheng, Shangling Jui, Joost van de Weijer
2020	J	`jnl`	Semantic Drift Compensation for Class-Incremental Learning. CoRR Lu Yu, Bartlomiej Twardowski, Xialei Liu, Luis Herranz, Kai Wang, Yongmei Cheng, Shangling Jui, Joost van de Weijer
2020	J	`jnl`	Simple and effective localized attribute representations for zero-shot learning. CoRR Shiqi Yang, Kai Wang, Luis Herranz, Joost van de Weijer
2020	J	`jnl`	Unsupervised Domain Adaptation without Source Data by Casting a BAIT. CoRR Shiqi Yang, Yaxing Wang, Joost van de Weijer, Luis Herranz, Shangling Jui
2020	J	`jnl`	Variable Rate Deep Image Compression With Modulated Autoencoder. IEEE Signal Process. Lett. Fei Yang, Luis Herranz, Joost van de Weijer, José Antonio Iglesias Guitián, Antonio M. López, Mikhail G. Mozerov
2019	J	`jnl`	Controlling biases and diversity in diverse image-to-image translation. CoRR Yaxing Wang, Abel Gonzalez-Garcia, Joost van de Weijer, Luis Herranz
2019	J	`jnl`	Learning Effective RGB-D Representations for Scene Recognition. IEEE Trans. Image Process. Xinhang Song, Shuqiang Jiang, Luis Herranz, Chengpeng Chen
2019	J	`jnl`	MineGAN: effective knowledge transfer from GANs to target domains with few images. CoRR Yaxing Wang, Abel Gonzalez-Garcia, David Berga, Luis Herranz, Fahad Shahbaz Khan, Joost van de Weijer
2019	J	`jnl`	Mix and match networks: multi-domain alignment for unpaired image-to-image translation. CoRR Yaxing Wang, Luis Herranz, Joost van de Weijer
2019	J	`jnl`	Multifaceted Analysis of Fine-Tuning in Deep Model for Visual Recognition. CoRR Xiangyang Li, Luis Herranz, Shuqiang Jiang
2019	A*	`conf`	SDIT: Scalable and Diverse Cross-domain Image Translation. ACM Multimedia Yaxing Wang, Abel Gonzalez-Garcia, Joost van de Weijer, Luis Herranz
2019	J	`jnl`	SDIT: Scalable and Diverse Cross-domain Image Translation. CoRR Yaxing Wang, Abel Gonzalez-Garcia, Joost van de Weijer, Luis Herranz
2019	J	`jnl`	Variable Rate Deep Image Compression with Modulated Autoencoder. CoRR Fei Yang, Luis Herranz, Joost van de Weijer, José Antonio Iglesias Guitián, Antonio M. López, Mikhail G. Mozerov
2018	J	`jnl`	Cross-Modulation Networks for Few-Shot Learning. CoRR Hugo Prol, Vincent Dumoulin, Luis Herranz
2018	J	`jnl`	Depth CNNs for RGB-D scene recognition: learning from scratch better than transferring from RGB-CNNs. CoRR Xinhang Song, Luis Herranz, Shuqiang Jiang
2018	J	`jnl`	Food recognition and recipe analysis: integrating visual content, context and external knowledge. CoRR Luis Herranz, Weiqing Min, Shuqiang Jiang
2018	—	`conf`	LIUM-CVC Submissions for WMT18 Multimodal Translation Task. WMT (shared task) Ozan Caglayan, Adrien Bardet, Fethi Bougares, Loïc Barrault, Kai Wang, Marc Masana, Luis Herranz, Joost van de Weijer
2018	J	`jnl`	LIUM-CVC Submissions for WMT18 Multimodal Translation Task. CoRR Ozan Caglayan, Adrien Bardet, Fethi Bougares, Loïc Barrault, Kai Wang, Marc Masana, Luis Herranz, Joost van de Weijer
2018	J	`jnl`	Learning Effective RGB-D Representations for Scene Recognition. CoRR Xinhang Song, Shuqiang Jiang, Luis Herranz, Chengpeng Chen
2018	A*	`conf`	Memory Replay GANs: Learning to Generate New Categories without Forgetting. NeurIPS Chenshen Wu, Luis Herranz, Xialei Liu, Yaxing Wang, Joost van de Weijer, Bogdan Raducanu
2018	J	`jnl`	Memory Replay GANs: learning to generate images from new categories without forgetting. CoRR Chenshen Wu, Luis Herranz, Xialei Liu, Yaxing Wang, Joost van de Weijer, Bogdan Raducanu
2018	A*	`conf`	Mix and Match Networks: Encoder-Decoder Alignment for Zero-Pair Image Translation. CVPR Yaxing Wang, Joost van de Weijer, Luis Herranz
2018	J	`jnl`	Mix and match networks: encoder-decoder alignment for zero-pair image translation. CoRR Yaxing Wang, Joost van de Weijer, Luis Herranz
2018	B	`conf`	Rotate your Networks: Better Weight Consolidation and Less Catastrophic Forgetting. ICPR Xialei Liu, Marc Masana, Luis Herranz, Joost van de Weijer, Antonio M. López, Andrew D. Bagdanov
2018	J	`jnl`	Rotate your Networks: Better Weight Consolidation and Less Catastrophic Forgetting. CoRR Xialei Liu, Marc Masana, Luis Herranz, Joost van de Weijer, Antonio M. López, Andrew D. Bagdanov
2018	J	`jnl`	Scene recognition with CNNs: objects, scales and dataset bias. CoRR Luis Herranz, Shuqiang Jiang, Xiangyang Li
2018	—	`conf`	Transferring GANs: Generating Images from Limited Data. ECCV (6) Yaxing Wang, Chenshen Wu, Luis Herranz, Joost van de Weijer, Abel Gonzalez-Garcia, Bogdan Raducanu
2018	J	`jnl`	Transferring GANs: generating images from limited data. CoRR Yaxing Wang, Chenshen Wu, Luis Herranz, Joost van de Weijer, Abel Gonzalez-Garcia, Bogdan Raducanu
2017	J	`jnl`	A survey on context-aware mobile visual recognition. Multim. Syst. Weiqing Min, Shuqiang Jiang, Shuhui Wang, Ruihan Xu, Yushan Cao, Luis Herranz, Zhiqiang He
2017	J	`jnl`	Being a Supercook: Joint Food Attributes and Multimodal Content Modeling for Recipe Retrieval and Exploration. IEEE Trans. Multim. Weiqing Min, Shuqiang Jiang, Jitao Sang, Huayang Wang, Xinda Liu, Luis Herranz
2017	A*	`conf`	Combining Models from Multiple Sources for RGB-D Scene Recognition. IJCAI Xinhang Song, Shuqiang Jiang, Luis Herranz
2017	A*	`conf`	Depth CNNs for RGB-D Scene Recognition: Learning from Scratch Better than Transferring from RGB-CNNs. AAAI Xinhang Song, Luis Herranz, Shuqiang Jiang
2017	A*	`conf`	Domain-Adaptive Deep Network Compression. ICCV Marc Masana, Joost van de Weijer, Luis Herranz, Andrew D. Bagdanov, José M. Álvarez
2017	J	`jnl`	Domain-adaptive deep network compression. CoRR Marc Masana, Joost van de Weijer, Luis Herranz, Andrew D. Bagdanov, José M. Álvarez
2017	—	`conf`	LIUM-CVC Submissions for WMT17 Multimodal Translation Task. WMT Ozan Caglayan, Walid Aransa, Adrien Bardet, Mercedes García-Martínez, Fethi Bougares, Loïc Barrault, Marc Masana, Luis Herranz, Joost van de Weijer
2017	J	`jnl`	LIUM-CVC Submissions for WMT17 Multimodal Translation Task. CoRR Ozan Caglayan, Walid Aransa, Adrien Bardet, Mercedes García-Martínez, Fethi Bougares, Loïc Barrault, Marc Masana, Luis Herranz, Joost van de Weijer
2017	J	`jnl`	Modeling Restaurant Context for Food Recognition. IEEE Trans. Multim. Luis Herranz, Shuqiang Jiang, Ruihan Xu
2017	J	`jnl`	Multi-Scale Multi-Feature Context Modeling for Scene Recognition in the Semantic Manifold. IEEE Trans. Image Process. Xinhang Song, Shuqiang Jiang, Luis Herranz
2016	J	`jnl`	Category co-occurrence modeling for large scale scene recognition. Pattern Recognit. Xinhang Song, Shuqiang Jiang, Luis Herranz, Yan Kong, Kai Zheng
2016	J	`jnl`	Guest Editorial: Image Analysis and Processing Leveraging Additional Information. Multim. Tools Appl. Luis Herranz, Jian Cheng, Yue Gao, Shuqiang Jiang
2016	—	`conf`	Heterogeneous Convolutional Neural Networks for Visual Recognition. PCM (2) Xiangyang Li, Luis Herranz, Shuqiang Jiang
2016	A*	`conf`	Image Captioning with both Object and Scene Information. ACM Multimedia Xiangyang Li, Xinhang Song, Luis Herranz, Yaohui Zhu, Shuqiang Jiang
2016	J	`jnl`	Scalable storyboards in handheld devices: applications and evaluation metrics. Multim. Tools Appl. Luis Herranz, Shuqiang Jiang
2016	A*	`conf`	Scene Recognition with CNNs: Objects, Scales and Dataset Bias. CVPR Luis Herranz, Shuqiang Jiang, Xiangyang Li
2015	A	`conf`	A probabilistic model for food image recognition in restaurants. ICME Luis Herranz, Ruihan Xu, Shuqiang Jiang
2015	J	`jnl`	Geolocalized Modeling for Dish Recognition. IEEE Trans. Multim. Ruihan Xu, Luis Herranz, Shuqiang Jiang, Shuang Wang, Xinhang Song, Ramesh C. Jain
2015	A*	`conf`	Hand-Object Sense: A Hand-held Object Recognition System Based on RGB-D Information. ACM Multimedia Xiong Lv, Shuqiang Jiang, Luis Herranz, Shuang Wang
2015	A*	`conf`	Joint multi-feature spatial context for scene recognition in the semantic manifold. CVPR Xinhang Song, Shuqiang Jiang, Luis Herranz
2015	J	`jnl`	RGB-D Hand-Held Object Recognition Based on Heterogeneous Feature Fusion. J. Comput. Sci. Technol. Xiong Lv, Shuqiang Jiang, Luis Herranz, Shuang Wang
2014	—	`conf`	Accuracy and Specificity Trade-off in k -nearest Neighbors Classification. ACCV (2) Luis Herranz, Shuqiang Jiang
2014	—	`conf`	Multipath Convolutional-Recursive Neural Networks for Object Recognition. IIP Xiangyang Li, Shuqiang Jiang, Xinhang Song, Luis Herranz, Zhiping Shi
2014	—	`conf`	Region annotations in hashing based image retrieval. ICIMCS Cheng Guo, Luis Herranz, Lifang Wu, Shuqiang Jiang
2014	—	`conf`	Semantic Features for Food Image Recognition with Geo-Constraints. ICDM Workshops Xinhang Song, Shuqiang Jiang, Ruihan Xu, Luis Herranz
2013	J	`jnl`	Combining MPEG Tools to Generate Video Summaries Adapted to the Terminal and Network. Comput. J. Luis Herranz, José María Martínez Sanchez
2013	B	`conf`	Flexible navigation in smartphones and tablets using scalable storyboards. ICMR Shuai Zheng, Luis Herranz, Shuqiang Jiang
2012	—	`conf`	Effective Comic-Like Representations with Embedded Regions of Interest. PCM Luis Herranz, Huiying Liu, Shuqiang Jiang
2012	—	`conf`	Improving Image Distance Metric Learning by Embedding Semantic Relations. PCM Fang Wang, Shuqiang Jiang, Luis Herranz, Qingming Huang
2012	—	`conf`	Multiscale Browsing through Video Collections in Smartphones Using Scalable Storyboards. ICME Workshops Luis Herranz
2012	J	`jnl`	Scalable Comic-Like Video Summaries and Layout Disturbance. IEEE Trans. Multim. Luis Herranz, Janko Calic, José M. Martínez, Marta Mrak
2010	J	`jnl`	A Framework for Scalable Summarization of Video. IEEE Trans. Circuits Syst. Video Technol. Luis Herranz, José M. Martínez
2010	B	`conf`	On the Advantages of the Use of Bitstream Extraction for Video Summary Generation. MMM Luis Herranz, José María Martínez Sanchez
2009	A	`conf`	An efficient summarization algorithm based on clustering and bitstream extraction. ICME Luis Herranz, José M. Martínez
2009	J	`jnl`	An integrated approach to summarization and adaptation using H.264/MPEG-4 SVC. Signal Process. Image Commun. Luis Herranz, José M. Martínez
2009	J	`jnl`	On the use of hierarchical prediction structures for efficient summary generation of H.264/AVC bitstreams. Signal Process. Image Commun. Luis Herranz, José M. Martínez
2008	B	`conf`	Generation of scalable summaries based on iterative GoP ranking. ICIP Luis Herranz, José María Martínez Sanchez
2007	—	`conf`	Adapting Surneillance Video to Small Displays Via Object-Based Cropping. WIAMIS Luis Herranz, José M. Martínez
2007	C	`conf`	Content-Driven Adaptation of On-Line Video. CBMI Jesús Bescós, José M. Martínez, Luis Herranz, Fabricio Tiburzi
2007	J	`jnl`	Content-driven adaptation of on-line video. Signal Process. Image Commun. Jesús Bescós, José M. Martínez, Luis Herranz, Fabricio Tiburzi
2007	J	`jnl`	Integrating semantic analysis and scalable video coding for efficient content-based adaptation. Multim. Syst. Luis Herranz
2007	—	`conf`	Use Cases of Scalable Video Based Summarization and Adaptation Within MPEG-21 DIA. SAMT Luis Herranz, José María Martínez Sanchez
2006	—	`conf`	A Framework for Online Semantic Adaptation of Scalable Video. SMAP Luis Herranz
2006	—	`conf`	An Engine for Content-Aware On-Line Video Adaptation. SAMT Luis Herranz, Fabricio Tiburzi, Jesús Bescós
2006	—	`conf`	Extraction of Motion Activity from Scalable-Coded Video Sequences. SAMT Luis Herranz, Fabricio Tiburzi, Jesús Bescós
2006	J	`jnl`	Video summaries generation and access via personalized delivery of multimedia presentations adapted to service and terminal. Int. J. Intell. Syst. Marta Padilla, José María Martínez Sanchez, Luis Herranz
2004	—	`conf`	Integrating Metadata-Driven Content Adaptation Approaches. EWIMT José María Martínez Sanchez, Jesús Bescós, Víctor Valdés, Luis Herranz
2004	—	`conf`	Universal and Personalized Access to Content via J2ME Terminals in the DYMAS System. CIVR Ana García, José María Martínez Sanchez, Luis Herranz