Universal and Personalized Access to Content via J2ME Terminals in the DYMAS System. - Ana García; José María Martínez Sanchez; Luis Herranz (CIVR, 2004)

Integrating Metadata-Driven Content Adaptation Approaches. - José María Martínez Sanchez; Jesús Bescós; Víctor Valdés; Luis Herranz (EWIMT, 2004)

An Engine for Content-Aware On-Line Video Adaptation. - Luis Herranz; Fabricio Tiburzi; Jesús Bescós (SAMT, 2006)

Extraction of Motion Activity from Scalable-Coded Video Sequences. - Luis Herranz; Fabricio Tiburzi; Jesús Bescós (SAMT, 2006)

A Framework for Online Semantic Adaptation of Scalable Video. - Luis Herranz (SMAP, 2006)

Video summaries generation and access via personalized delivery of multimedia presentations adapted to service and terminal. - Marta Padilla; José María Martínez Sanchez; Luis Herranz (Int. J. Intell. Syst., 2006)

Use Cases of Scalable Video Based Summarization and Adaptation Within MPEG-21 DIA. - Luis Herranz; José María Martínez Sanchez (SAMT, 2007)

Adapting Surneillance Video to Small Displays Via Object-Based Cropping. - Luis Herranz; José M. Martínez 001 (WIAMIS, 2007)

Integrating semantic analysis and scalable video coding for efficient content-based adaptation. - Luis Herranz (Multim. Syst., 2007)

Content-driven adaptation of on-line video. - Jesús Bescós; José M. Martínez 001; Luis Herranz; Fabricio Tiburzi (Signal Process. Image Commun., 2007)

Generation of scalable summaries based on iterative GoP ranking. - Luis Herranz; José María Martínez Sanchez (ICIP, 2008)

An efficient summarization algorithm based on clustering and bitstream extraction. - Luis Herranz; José M. Martínez 001 (ICME, 2009)

An integrated approach to summarization and adaptation using H.264/MPEG-4 SVC. - Luis Herranz; José M. Martínez 001 (Signal Process. Image Commun., 2009)

On the use of hierarchical prediction structures for efficient summary generation of H.264/AVC bitstreams. - Luis Herranz; José M. Martínez 001 (Signal Process. Image Commun., 2009)

On the Advantages of the Use of Bitstream Extraction for Video Summary Generation. - Luis Herranz; José María Martínez Sanchez (MMM, 2010)

A Framework for Scalable Summarization of Video. - Luis Herranz; José M. Martínez 001 (IEEE Trans. Circuits Syst. Video Technol., 2010)

Multiscale Browsing through Video Collections in Smartphones Using Scalable Storyboards. - Luis Herranz (ICME Workshops, 2012)

Effective Comic-Like Representations with Embedded Regions of Interest. - Luis Herranz; Huiying Liu; Shuqiang Jiang (PCM, 2012)

Improving Image Distance Metric Learning by Embedding Semantic Relations. - Fang Wang; Shuqiang Jiang; Luis Herranz; Qingming Huang (PCM, 2012)

Scalable Comic-Like Video Summaries and Layout Disturbance. - Luis Herranz; Janko Calic; José M. Martínez 001; Marta Mrak (IEEE Trans. Multim., 2012)

Flexible navigation in smartphones and tablets using scalable storyboards. - Shuai Zheng 004; Luis Herranz; Shuqiang Jiang (ICMR, 2013)

Combining MPEG Tools to Generate Video Summaries Adapted to the Terminal and Network. - Luis Herranz; José María Martínez Sanchez (Comput. J., 2013)

Accuracy and Specificity Trade-off in k -nearest Neighbors Classification. - Luis Herranz; Shuqiang Jiang (ACCV (2), 2014)

Semantic Features for Food Image Recognition with Geo-Constraints. - Xinhang Song; Shuqiang Jiang; Ruihan Xu 001; Luis Herranz (ICDM Workshops, 2014)

Region annotations in hashing based image retrieval. - Cheng Guo; Luis Herranz; Lifang Wu; Shuqiang Jiang (ICIMCS, 2014)

Multipath Convolutional-Recursive Neural Networks for Object Recognition. - Xiangyang Li 002; Shuqiang Jiang; Xinhang Song; Luis Herranz; Zhiping Shi 002 (IIP, 2014)

Joint multi-feature spatial context for scene recognition in the semantic manifold. - Xinhang Song; Shuqiang Jiang; Luis Herranz (CVPR, 2015)

A probabilistic model for food image recognition in restaurants. - Luis Herranz; Ruihan Xu 001; Shuqiang Jiang (ICME, 2015)

Hand-Object Sense: A Hand-held Object Recognition System Based on RGB-D Information. - Xiong Lv; Shuqiang Jiang; Luis Herranz; Shuang Wang (ACM Multimedia, 2015)

RGB-D Hand-Held Object Recognition Based on Heterogeneous Feature Fusion. - Xiong Lv; Shuqiang Jiang; Luis Herranz; Shuang Wang (J. Comput. Sci. Technol., 2015)

Geolocalized Modeling for Dish Recognition. - Ruihan Xu 001; Luis Herranz; Shuqiang Jiang; Shuang Wang; Xinhang Song; Ramesh C. Jain (IEEE Trans. Multim., 2015)

Scene Recognition with CNNs: Objects, Scales and Dataset Bias. - Luis Herranz; Shuqiang Jiang; Xiangyang Li 002 (CVPR, 2016)

Image Captioning with both Object and Scene Information. - Xiangyang Li 002; Xinhang Song; Luis Herranz; Yaohui Zhu; Shuqiang Jiang (ACM Multimedia, 2016)

Heterogeneous Convolutional Neural Networks for Visual Recognition. - Xiangyang Li 002; Luis Herranz; Shuqiang Jiang (PCM (2), 2016)

Guest Editorial: Image Analysis and Processing Leveraging Additional Information. - Luis Herranz; Jian Cheng 001; Yue Gao 002; Shuqiang Jiang (Multim. Tools Appl., 2016)

Scalable storyboards in handheld devices: applications and evaluation metrics. - Luis Herranz; Shuqiang Jiang (Multim. Tools Appl., 2016)

Category co-occurrence modeling for large scale scene recognition. - Xinhang Song; Shuqiang Jiang; Luis Herranz; Yan Kong; Kai Zheng 001 (Pattern Recognit., 2016)

Depth CNNs for RGB-D Scene Recognition: Learning from Scratch Better than Transferring from RGB-CNNs. - Xinhang Song; Luis Herranz; Shuqiang Jiang (AAAI, 2017)

Domain-Adaptive Deep Network Compression. - Marc Masana; Joost van de Weijer 001; Luis Herranz; Andrew D. Bagdanov; José M. Álvarez 004 (ICCV, 2017)

Combining Models from Multiple Sources for RGB-D Scene Recognition. - Xinhang Song; Shuqiang Jiang; Luis Herranz (IJCAI, 2017)

LIUM-CVC Submissions for WMT17 Multimodal Translation Task. - Ozan Caglayan; Walid Aransa; Adrien Bardet; Mercedes García-Martínez; Fethi Bougares; Loïc Barrault; Marc Masana; Luis Herranz; Joost van de Weijer 001 (WMT, 2017)

A survey on context-aware mobile visual recognition. - Weiqing Min; Shuqiang Jiang; Shuhui Wang; Ruihan Xu 001; Yushan Cao; Luis Herranz; Zhiqiang He 002 (Multim. Syst., 2017)

Multi-Scale Multi-Feature Context Modeling for Scene Recognition in the Semantic Manifold. - Xinhang Song; Shuqiang Jiang; Luis Herranz (IEEE Trans. Image Process., 2017)

Modeling Restaurant Context for Food Recognition. - Luis Herranz; Shuqiang Jiang; Ruihan Xu 001 (IEEE Trans. Multim., 2017)

Being a Supercook: Joint Food Attributes and Multimodal Content Modeling for Recipe Retrieval and Exploration. - Weiqing Min; Shuqiang Jiang; Jitao Sang; Huayang Wang; Xinda Liu; Luis Herranz (IEEE Trans. Multim., 2017)

Mix and Match Networks: Encoder-Decoder Alignment for Zero-Pair Image Translation. - Yaxing Wang; Joost van de Weijer 001; Luis Herranz (CVPR, 2018)

Transferring GANs: Generating Images from Limited Data. - Yaxing Wang; Chenshen Wu; Luis Herranz; Joost van de Weijer 001; Abel Gonzalez-Garcia; Bogdan Raducanu (ECCV (6), 2018)

Rotate your Networks: Better Weight Consolidation and Less Catastrophic Forgetting. - Xialei Liu; Marc Masana; Luis Herranz; Joost van de Weijer 001; Antonio M. López 001; Andrew D. Bagdanov (ICPR, 2018)

Memory Replay GANs: Learning to Generate New Categories without Forgetting. - Chenshen Wu; Luis Herranz; Xialei Liu; Yaxing Wang; Joost van de Weijer 001; Bogdan Raducanu (NeurIPS, 2018)

LIUM-CVC Submissions for WMT18 Multimodal Translation Task. - Ozan Caglayan; Adrien Bardet; Fethi Bougares; Loïc Barrault; Kai Wang 060; Marc Masana; Luis Herranz; Joost van de Weijer 001 (WMT (shared task), 2018)

Food recognition and recipe analysis: integrating visual content, context and external knowledge. - Luis Herranz; Weiqing Min; Shuqiang Jiang (CoRR, 2018)

Memory Replay GANs: learning to generate images from new categories without forgetting. - Chenshen Wu; Luis Herranz; Xialei Liu; Yaxing Wang; Joost van de Weijer 001; Bogdan Raducanu (CoRR, 2018)

Cross-Modulation Networks for Few-Shot Learning. - Hugo Prol; Vincent Dumoulin; Luis Herranz (CoRR, 2018)

SDIT: Scalable and Diverse Cross-domain Image Translation. - Yaxing Wang; Abel Gonzalez-Garcia; Joost van de Weijer 001; Luis Herranz (ACM Multimedia, 2019)

Mix and match networks: multi-domain alignment for unpaired image-to-image translation. - Yaxing Wang; Luis Herranz; Joost van de Weijer 001 (CoRR, 2019)

Learning Effective RGB-D Representations for Scene Recognition. - Xinhang Song; Shuqiang Jiang; Luis Herranz; Chengpeng Chen (IEEE Trans. Image Process., 2019)

Semantic Drift Compensation for Class-Incremental Learning. - Lu Yu 004; Bartlomiej Twardowski; Xialei Liu; Luis Herranz; Kai Wang 060; Yongmei Cheng; Shangling Jui; Joost van de Weijer 001 (CVPR, 2020)

Generative Feature Replay For Class-Incremental Learning. - Xialei Liu; Chenshen Wu; Mikel Menta; Luis Herranz; Bogdan Raducanu; Andrew D. Bagdanov; Shangling Jui; Joost van de Weijer 001 (CVPR Workshops, 2020)

MineGAN: Effective Knowledge Transfer From GANs to Target Domains With Few Images. - Yaxing Wang; Abel Gonzalez-Garcia; David Berga; Luis Herranz; Fahad Shahbaz Khan; Joost van de Weijer 001 (CVPR, 2020)

Generalized Zero-shot Learning with Multi-source Semantic Embeddings for Scene Recognition. - Xinhang Song; Haitao Zeng; Sixian Zhang; Luis Herranz; Shuqiang Jiang (ACM Multimedia, 2020)

Simple and effective localized attribute representations for zero-shot learning. - Shiqi Yang; Kai Wang 060; Luis Herranz; Joost van de Weijer 001 (CoRR, 2020)

Bookworm continual learning: beyond zero-shot learning and continual learning. - Kai Wang 060; Luis Herranz; Anjan Dutta 001; Joost van de Weijer 001 (CoRR, 2020)

Unsupervised Domain Adaptation without Source Data by Casting a BAIT. - Shiqi Yang; Yaxing Wang; Joost van de Weijer 001; Luis Herranz; Shangling Jui (CoRR, 2020)

Mix and Match Networks: Cross-Modal Alignment for Zero-Pair Image-to-Image Translation. - Yaxing Wang; Luis Herranz; Joost van de Weijer 001 (Int. J. Comput. Vis., 2020)

Variable Rate Deep Image Compression With Modulated Autoencoder. - Fei Yang 004; Luis Herranz; Joost van de Weijer 001; José Antonio Iglesias Guitián; Antonio M. López 001; Mikhail G. Mozerov (IEEE Signal Process. Lett., 2020)

Multifaceted Analysis of Fine-Tuning in a Deep Model for Visual Recognition. - Xiangyang Li 002; Luis Herranz; Shuqiang Jiang (Trans. Data Sci., 2020)

Spatial Information Refinement for Chroma Intra Prediction in Video Coding. - Chengyi Zou; Shuai Wan; Tiannan Ji; Marta Mrak; Marc Górriz Blanch; Luis Herranz (APSIPA ASC, 2021)

HCV: Hierarchy-Consistency Verification for Incremental Implicitly-Refined Classification. - Kai Wang 060; Xialei Liu; Luis Herranz; Joost van de Weijer 001 (BMVC, 2021)

Slimmable Compressive Autoencoders for Practical Neural Image Compression. - Fei Yang 004; Luis Herranz; Yongmei Cheng; Mikhail G. Mozerov (CVPR, 2021)

DANICE: Domain Adaptation Without Forgetting in Neural Image Compression. - Sudeep Katakol; Luis Herranz; Fei Yang 004; Marta Mrak (CVPR Workshops, 2021)

Continual Learning in Cross-Modal Retrieval. - Kai Wang 060; Luis Herranz; Joost van de Weijer 001 (CVPR Workshops, 2021)

Generalized Source-free Domain Adaptation. - Shiqi Yang; Yaxing Wang; Joost van de Weijer 001; Luis Herranz; Shangling Jui (ICCV, 2021)

Exploiting the Intrinsic Neighborhood Structure for Source-free Domain Adaptation. - Shiqi Yang; Yaxing Wang; Joost van de Weijer 001; Luis Herranz; Shangling Jui (NeurIPS, 2021)

DVC-P: Deep Video Compression with Perceptual Optimizations. - Saiping Zhang; Marta Mrak; Luis Herranz; Marc Górriz Blanch; Shuai Wan; Fuzheng Yang 001 (VCIP, 2021)

MineGAN++: Mining Generative Models for Efficient Knowledge Transfer to Limited Data Domains. - Yaxing Wang; Abel Gonzalez-Garcia; Chenshen Wu; Luis Herranz; Fahad Shahbaz Khan; Shangling Jui; Joost van de Weijer 001 (CoRR, 2021)

Controlling biases and diversity in diverse image-to-image translation. - Yaxing Wang; Abel Gonzalez-Garcia; Luis Herranz; Joost van de Weijer 001 (Comput. Vis. Image Underst., 2021)

ACAE-REMIND for online continual learning with compressed feature replay. - Kai Wang 060; Joost van de Weijer 001; Luis Herranz (Pattern Recognit. Lett., 2021)

On Implicit Attribute Localization for Generalized Zero-Shot Learning. - Shiqi Yang; Kai Wang 060; Luis Herranz; Joost van de Weijer 001 (IEEE Signal Process. Lett., 2021)

Distributed Learning and Inference With Compressed Images. - Sudeep Katakol; Basem Elbarashy; Luis Herranz; Joost van de Weijer 001; Antonio M. López 001 (IEEE Trans. Image Process., 2021)

Slimmable Video Codec. - Zhaocheng Liu; Luis Herranz; Fei Yang 004; Saiping Zhang; Shuai Wan; Marta Mrak; Marc Górriz Blanch (CVPR Workshops, 2022)

Incremental Meta-Learning via Episodic Replay Distillation for Few-Shot Image Recognition. - Kai Wang 060; Xialei Liu; Andy Bagdanov; Luis Herranz; Shangling Jui; Joost van de Weijer 001 (CVPR Workshops, 2022)

DCNGAN: A Deformable Convolution-Based GAN with QP Adaptation for Perceptual Quality Enhancement of Compressed Video. - Saiping Zhang; Luis Herranz; Marta Mrak; Marc Górriz Blanch; Shuai Wan; Fuzheng Yang 001 (ICASSP, 2022)

Towards Lightweight Neural Network-based Chroma Intra Prediction for Video Coding. - Chengyi Zou; Shuai Wan; Marta Mrak; Marc Górriz Blanch; Luis Herranz; Tiannan Ji (ICIP, 2022)

SlimSeg: Slimmable Semantic Segmentation with Boundary Supervision. - Danna Xue; Fei Yang 004; Pei Wang; Luis Herranz; Jinqiu Sun; Yu Zhu 004; Yanning Zhang 001 (ACM Multimedia, 2022)

DCNGAN: A Deformable Convolutional-Based GAN with QP Adaptation for Perceptual Quality Enhancement of Compressed Video. - Saiping Zhang; Luis Herranz; Marta Mrak; Marc Górriz Blanch; Shuai Wan; Fuzheng Yang 001 (CoRR, 2022)

PeQuENet: Perceptual Quality Enhancement of Compressed Video with Adaptation- and Attention-based Network. - Saiping Zhang; Luis Herranz; Marta Mrak; Marc Górriz Blanch; Shuai Wan; Fuzheng Yang 001 (CoRR, 2022)

A novel framework for image-to-image translation and image compression. - Fei Yang 004; Yaxing Wang; Luis Herranz; Yongmei Cheng; Mikhail G. Mozerov (Neurocomputing, 2022)

Efficient Super-Resolution for Compression Of Gaming Videos. - Yifan Wang; Luka Murn; Luis Herranz; Fei Yang 004; Marta Mrak; Wei Zhang 072; Shuai Wan; Marc Górriz Blanch (ICASSP, 2023)

Burst Perception-Distortion Tradeoff: Analysis and Evaluation. - Danna Xue; Luis Herranz; Javier Vazquez-Corral; Yanning Zhang 001 (ICASSP, 2023)

Semantic Preprocessor for Image Compression for Machines. - Mingyi Yang; Luis Herranz; Fei Yang 004; Luka Murn; Marc Górriz Blanch; Shuai Wan; Fuzheng Yang 001; Marta Mrak (ICASSP, 2023)

Casting a BAIT for offline and online source-free domain adaptation. - Shiqi Yang; Yaxing Wang; Luis Herranz; Shangling Jui; Joost van de Weijer 001 (Comput. Vis. Image Underst., 2023)

Integrating High-Level Features for Consistent Palette-based Multi-image Recoloring. - D. Xue; Javier Vazquez-Corral; Luis Herranz; Y. Zhang; Michael S. Brown (Comput. Graph. Forum, 2023)

Trust Your Good Friends: Source-Free Domain Adaptation by Reciprocal Neighborhood Clustering. - Shiqi Yang; Yaxing Wang; Joost van de Weijer 001; Luis Herranz; Shangling Jui; Jian Yang 003 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

NamedCurves: Learned Image Enhancement via Color Naming. - David Serrano-Lozano; Luis Herranz; Michael S. Brown; Javier Vazquez-Corral (ECCV (71), 2024)

Rate Control for Slimmable Video Codec using Multilayer Perceptron. - Defa Wang; Zhiwei Zhu; Shuai Wan; Fei Yang 004; Luis Herranz (ISCAS, 2024)

Adaptive Blind All-in-One Image Restoration. - David Serrano-Lozano; Luis Herranz; Shaolin Su; Javier Vazquez-Corral (CoRR, 2024)

A slimmable framework for practical neural video compression. - Zhaocheng Liu; Fei Yang 004; Defa Wang; Marc Górriz Blanch; Luka Murn; Shuai Wan; Saiping Zhang; Marta Mrak; Luis Herranz (Neurocomputing, 2024)

Palette-Based Color Harmonization via Color Naming. - Danna Xue; Javier Vazquez-Corral; Luis Herranz; Yanning Zhang 001; Michael S. Brown (IEEE Signal Process. Lett., 2024)

Task-Switchable Pre-Processor for Image Compression for Multiple Machine Vision Tasks. - Mingyi Yang; Fei Yang 004; Luka Murn; Marc Górriz Blanch; Juil Sock; Shuai Wan; Fuzheng Yang 001; Luis Herranz (IEEE Trans. Circuits Syst. Video Technol., 2024)

Main product detection with graph networks for fashion. - Vacit Oguz Yazici; Longlong Yu; Arnau Ramisa; Luis Herranz; Joost van de Weijer 001 (Multim. Tools Appl., 2024)

Chroma Intra Prediction With Lightweight Attention-Based Neural Networks. - Chengyi Zou; Shuai Wan; Tiannan Ji; Marc Górriz Blanch; Marta Mrak; Luis Herranz (IEEE Trans. Circuits Syst. Video Technol., 2024)

MineGAN++: Mining Generative Models for Efficient Knowledge Transfer to Limited Data Domains. - Yaxing Wang; Abel Gonzalez-Garcia; Chenshen Wu; Luis Herranz; Fahad Shahbaz Khan; Shangling Jui; Jian Yang 003; Joost van de Weijer 001 (Int. J. Comput. Vis., 2024)

Enhanced neural video compression for cloud gaming videos with aligned frame generation. - Yifan Wang; Fei Yang 004; Luka Murn; Juil Sock; Marc Górriz Blanch; Shuai Wan; Wei Zhang 072; Fuzheng Yang 001; Luis Herranz (Expert Syst. Appl., 2025)

Revisiting Image Fusion for Multi-Illuminant White-Balance Correction. - David Serrano-Lozano; Aditya Arora; Luis Herranz; Konstantinos G. Derpanis; Michael S. Brown; Javier Vazquez-Corral (CoRR, 2025)

Lightweight Deep Exemplar Colorization via Semantic Attention-Guided Laplacian Pyramid. - Chengyi Zou; Shuai Wan; Marc Górriz Blanch; Luka Murn; Marta Mrak; Juil Sock; Fei Yang 004; Luis Herranz (IEEE Trans. Vis. Comput. Graph., 2025)