Luis Herranz

Orcid: 0000-0002-7022-3395

According to our database1, Luis Herranz authored at least 101 papers between 2004 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
Enhanced neural video compression for cloud gaming videos with aligned frame generation.
Expert Syst. Appl., 2025

2024
MineGAN++: Mining Generative Models for Efficient Knowledge Transfer to Limited Data Domains.
Int. J. Comput. Vis., February, 2024

Chroma Intra Prediction With Lightweight Attention-Based Neural Networks.
IEEE Trans. Circuits Syst. Video Technol., January, 2024

Main product detection with graph networks for fashion.
Multim. Tools Appl., January, 2024

Palette-Based Color Harmonization via Color Naming.
IEEE Signal Process. Lett., 2024

A slimmable framework for practical neural video compression.
Neurocomputing, 2024

Rate Control for Slimmable Video Codec using Multilayer Perceptron.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2024

NamedCurves: Learned Image Enhancement via Color Naming.
Proceedings of the Computer Vision - ECCV 2024, 2024

2023
Trust Your Good Friends: Source-Free Domain Adaptation by Reciprocal Neighborhood Clustering.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

Integrating High-Level Features for Consistent Palette-based Multi-image Recoloring.
Comput. Graph. Forum, October, 2023

Casting a BAIT for offline and online source-free domain adaptation.
Comput. Vis. Image Underst., September, 2023

Semantic Preprocessor for Image Compression for Machines.
Proceedings of the IEEE International Conference on Acoustics, 2023

Burst Perception-Distortion Tradeoff: Analysis and Evaluation.
Proceedings of the IEEE International Conference on Acoustics, 2023

Efficient Super-Resolution for Compression Of Gaming Videos.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
A novel framework for image-to-image translation and image compression.
Neurocomputing, 2022

PeQuENet: Perceptual Quality Enhancement of Compressed Video with Adaptation- and Attention-based Network.
CoRR, 2022

DCNGAN: A Deformable Convolutional-Based GAN with QP Adaptation for Perceptual Quality Enhancement of Compressed Video.
CoRR, 2022

SlimSeg: Slimmable Semantic Segmentation with Boundary Supervision.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Towards Lightweight Neural Network-based Chroma Intra Prediction for Video Coding.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

DCNGAN: A Deformable Convolution-Based GAN with QP Adaptation for Perceptual Quality Enhancement of Compressed Video.
Proceedings of the IEEE International Conference on Acoustics, 2022

Incremental Meta-Learning via Episodic Replay Distillation for Few-Shot Image Recognition.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

Slimmable Video Codec.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021
Distributed Learning and Inference With Compressed Images.
IEEE Trans. Image Process., 2021

On Implicit Attribute Localization for Generalized Zero-Shot Learning.
IEEE Signal Process. Lett., 2021

ACAE-REMIND for online continual learning with compressed feature replay.
Pattern Recognit. Lett., 2021

Controlling biases and diversity in diverse image-to-image translation.
Comput. Vis. Image Underst., 2021

MineGAN++: Mining Generative Models for Efficient Knowledge Transfer to Limited Data Domains.
CoRR, 2021

DVC-P: Deep Video Compression with Perceptual Optimizations.
Proceedings of the International Conference on Visual Communications and Image Processing, 2021

Exploiting the Intrinsic Neighborhood Structure for Source-free Domain Adaptation.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Generalized Source-free Domain Adaptation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Continual Learning in Cross-Modal Retrieval.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

DANICE: Domain Adaptation Without Forgetting in Neural Image Compression.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

Slimmable Compressive Autoencoders for Practical Neural Image Compression.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

HCV: Hierarchy-Consistency Verification for Incremental Implicitly-Refined Classification.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

Spatial Information Refinement for Chroma Intra Prediction in Video Coding.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2021

2020
Multifaceted Analysis of Fine-Tuning in a Deep Model for Visual Recognition.
Trans. Data Sci., 2020

Variable Rate Deep Image Compression With Modulated Autoencoder.
IEEE Signal Process. Lett., 2020

Mix and Match Networks: Cross-Modal Alignment for Zero-Pair Image-to-Image Translation.
Int. J. Comput. Vis., 2020

Unsupervised Domain Adaptation without Source Data by Casting a BAIT.
CoRR, 2020

Bookworm continual learning: beyond zero-shot learning and continual learning.
CoRR, 2020

Simple and effective localized attribute representations for zero-shot learning.
CoRR, 2020

Generalized Zero-shot Learning with Multi-source Semantic Embeddings for Scene Recognition.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

MineGAN: Effective Knowledge Transfer From GANs to Target Domains With Few Images.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Generative Feature Replay For Class-Incremental Learning.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Semantic Drift Compensation for Class-Incremental Learning.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Learning Effective RGB-D Representations for Scene Recognition.
IEEE Trans. Image Process., 2019

Mix and match networks: multi-domain alignment for unpaired image-to-image translation.
CoRR, 2019

SDIT: Scalable and Diverse Cross-domain Image Translation.
Proceedings of the 27th ACM International Conference on Multimedia, 2019

2018
Cross-Modulation Networks for Few-Shot Learning.
CoRR, 2018

Memory Replay GANs: learning to generate images from new categories without forgetting.
CoRR, 2018

Food recognition and recipe analysis: integrating visual content, context and external knowledge.
CoRR, 2018

LIUM-CVC Submissions for WMT18 Multimodal Translation Task.
Proceedings of the Third Conference on Machine Translation: Shared Task Papers, 2018

Memory Replay GANs: Learning to Generate New Categories without Forgetting.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Rotate your Networks: Better Weight Consolidation and Less Catastrophic Forgetting.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

Transferring GANs: Generating Images from Limited Data.
Proceedings of the Computer Vision - ECCV 2018, 2018

Mix and Match Networks: Encoder-Decoder Alignment for Zero-Pair Image Translation.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
Being a Supercook: Joint Food Attributes and Multimodal Content Modeling for Recipe Retrieval and Exploration.
IEEE Trans. Multim., 2017

Modeling Restaurant Context for Food Recognition.
IEEE Trans. Multim., 2017

Multi-Scale Multi-Feature Context Modeling for Scene Recognition in the Semantic Manifold.
IEEE Trans. Image Process., 2017

A survey on context-aware mobile visual recognition.
Multim. Syst., 2017

LIUM-CVC Submissions for WMT17 Multimodal Translation Task.
Proceedings of the Second Conference on Machine Translation, 2017

Combining Models from Multiple Sources for RGB-D Scene Recognition.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Domain-Adaptive Deep Network Compression.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Depth CNNs for RGB-D Scene Recognition: Learning from Scratch Better than Transferring from RGB-CNNs.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Category co-occurrence modeling for large scale scene recognition.
Pattern Recognit., 2016

Scalable storyboards in handheld devices: applications and evaluation metrics.
Multim. Tools Appl., 2016

Guest Editorial: Image Analysis and Processing Leveraging Additional Information.
Multim. Tools Appl., 2016

Heterogeneous Convolutional Neural Networks for Visual Recognition.
Proceedings of the Advances in Multimedia Information Processing - PCM 2016, 2016

Image Captioning with both Object and Scene Information.
Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016

Scene Recognition with CNNs: Objects, Scales and Dataset Bias.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015
Geolocalized Modeling for Dish Recognition.
IEEE Trans. Multim., 2015

RGB-D Hand-Held Object Recognition Based on Heterogeneous Feature Fusion.
J. Comput. Sci. Technol., 2015

Hand-Object Sense: A Hand-held Object Recognition System Based on RGB-D Information.
Proceedings of the 23rd Annual ACM Conference on Multimedia Conference, MM '15, Brisbane, Australia, October 26, 2015

A probabilistic model for food image recognition in restaurants.
Proceedings of the 2015 IEEE International Conference on Multimedia and Expo, 2015

Joint multi-feature spatial context for scene recognition in the semantic manifold.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014
Multipath Convolutional-Recursive Neural Networks for Object Recognition.
Proceedings of the Intelligent Information Processing VII, 2014

Region annotations in hashing based image retrieval.
Proceedings of the International Conference on Internet Multimedia Computing and Service, 2014

Semantic Features for Food Image Recognition with Geo-Constraints.
Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014

Accuracy and Specificity Trade-off in k -nearest Neighbors Classification.
Proceedings of the Computer Vision - ACCV 2014, 2014

2013
Combining MPEG Tools to Generate Video Summaries Adapted to the Terminal and Network.
Comput. J., 2013

Flexible navigation in smartphones and tablets using scalable storyboards.
Proceedings of the International Conference on Multimedia Retrieval, 2013

2012
Scalable Comic-Like Video Summaries and Layout Disturbance.
IEEE Trans. Multim., 2012

Improving Image Distance Metric Learning by Embedding Semantic Relations.
Proceedings of the Advances in Multimedia Information Processing - PCM 2012, 2012

Effective Comic-Like Representations with Embedded Regions of Interest.
Proceedings of the Advances in Multimedia Information Processing - PCM 2012, 2012

Multiscale Browsing through Video Collections in Smartphones Using Scalable Storyboards.
Proceedings of the 2012 IEEE International Conference on Multimedia and Expo Workshops, 2012

2010
A Framework for Scalable Summarization of Video.
IEEE Trans. Circuits Syst. Video Technol., 2010

On the Advantages of the Use of Bitstream Extraction for Video Summary Generation.
Proceedings of the Advances in Multimedia Modeling, 2010

2009
On the use of hierarchical prediction structures for efficient summary generation of H.264/AVC bitstreams.
Signal Process. Image Commun., 2009

An integrated approach to summarization and adaptation using H.264/MPEG-4 SVC.
Signal Process. Image Commun., 2009

An efficient summarization algorithm based on clustering and bitstream extraction.
Proceedings of the 2009 IEEE International Conference on Multimedia and Expo, 2009

2008
Generation of scalable summaries based on iterative GoP ranking.
Proceedings of the International Conference on Image Processing, 2008

2007
Content-driven adaptation of on-line video.
Signal Process. Image Commun., 2007

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

Adapting Surneillance Video to Small Displays Via Object-Based Cropping.
Proceedings of the Eighth International Workshop on Image Analysis for Multimedia Interactive Services, 2007

Use Cases of Scalable Video Based Summarization and Adaptation Within MPEG-21 DIA.
Proceedings of the Semantic Multimedia, 2007

2006
Video summaries generation and access via personalized delivery of multimedia presentations adapted to service and terminal.
Int. J. Intell. Syst., 2006

A Framework for Online Semantic Adaptation of Scalable Video.
Proceedings of the First International Workshop on Semantic Media Adaptation and Personalization, 2006

Extraction of Motion Activity from Scalable-Coded Video Sequences.
Proceedings of the Semantic Multimedia, 2006

An Engine for Content-Aware On-Line Video Adaptation.
Proceedings of the Semantic Multimedia, 2006

2004
Integrating Metadata-Driven Content Adaptation Approaches.
Proceedings of the Knowledge-Based Media Analysis for Self-Adaptive and Agile Multi-Media, 2004

Universal and Personalized Access to Content via J2ME Terminals in the DYMAS System.
Proceedings of the Image and Video Retrieval: Third International Conference, 2004


  Loading...