Yu Liu

Orcid: 0000-0002-4480-396X

Affiliations:
  • KU Leuven, ESAT-PSI, Leuven, Belgium
  • Leiden University, Leiden Institute of Advanced Computer Science, Leiden, Netherlands (PhD 2018)
  • Dalian University of Technology, School of Software Technology, Dalian, China


According to our database1, Yu Liu authored at least 50 papers between 2013 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2023
Residual Tuning: Toward Novel Category Discovery Without Labels.
IEEE Trans. Neural Networks Learn. Syst., October, 2023

Snow Removal for LiDAR Point Clouds With Spatio-Temporal Conditional Random Fields.
IEEE Robotics Autom. Lett., October, 2023

Deep Learning for Instance Retrieval: A Survey.
IEEE Trans. Pattern Anal. Mach. Intell., June, 2023

Deep learning for video-text retrieval: a review.
Int. J. Multim. Inf. Retr., June, 2023

Lifelong Fine-Grained Image Retrieval.
IEEE Trans. Multim., 2023

Multi-Domain Lifelong Visual Question Answering via Self-Critical Distillation.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Learning Pixel-wise Alignment for Unsupervised Image Stitching.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

COCA: COllaborative CAusal Regularization for Audio-Visual Question Answering.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Feature Estimations Based Correlation Distillation for Incremental Image Retrieval.
IEEE Trans. Multim., 2022

Meta Reconciliation Normalization for Lifelong Person Re-Identification.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Segment, Magnify and Reiterate: Detecting Camouflaged Objects the Hard Way.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Integrating information theory and adversarial learning for cross-modal retrieval.
Pattern Recognit., 2021

Multi-stage hybrid embedding fusion network for visual question answering.
Neurocomputing, 2021

Deep Image Retrieval: A Survey.
CoRR, 2021

From Superficial to Deep: Language Bias driven Curriculum Learning for Visual Question Answering.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Underwater Species Detection using Channel Sharpening Attention.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

A Language Prior Based Focal Loss for Visual Question Answering.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Lifelong Person Re-Identification via Adaptive Knowledge Accumulation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
A Deep Multi-Modal Explanation Model for Zero-Shot Learning.
IEEE Trans. Image Process., 2020

A survey of traditional and deep learning-based feature descriptors for high dimensional data in computer vision.
Int. J. Multim. Inf. Retr., 2020

Dual Gaussian-based Variational Subspace Disentanglement for Visible-Infrared Person Re-Identification.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Commands 4 Autonomous Vehicles (C4AV) Workshop Summary.
Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

More Classifiers, Less Forgetting: A Generic Multi-classifier Paradigm for Incremental Learning.
Proceedings of the Computer Vision - ECCV 2020, 2020

A Novel Baseline for Zero-shot Learning via Adversarial Visual-Semantic Embedding.
Proceedings of the 31st British Machine Vision Conference 2020, 2020

On the Exploration of Incremental Learning for Fine-grained Image Retrieval.
Proceedings of the 31st British Machine Vision Conference 2020, 2020

2019
SwapGAN: A Multistage Generative Approach for Person-to-Person Fashion Style Transfer.
IEEE Trans. Multim., 2019

CycleMatch: A cycle-consistent embedding network for image-text matching.
Pattern Recognit., 2019

Domain Uncertainty Based On Information Theory for Cross-Modal Hash Retrieval.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

Ensemble of Convolutional Neural Networks for P300 Speller in Brain Computer Interface.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Text and Time Series, 2019

An Empirical Study on Sensor-aware Design of Convolutional Neural Networks for P300 Speller in Brain Computer Interface.
Proceedings of the 12th International Conference on Human System Interaction, 2019

2018
Bag of Surrogate Parts Feature for Visual Recognition.
IEEE Trans. Multim., 2018

Learning visual and textual representations for multimodal matching and classification.
Pattern Recognit., 2018

Fusion that matters: convolutional fusion networks for visual recognition.
Multim. Tools Appl., 2018

CNN-RNN: a large-scale hierarchical image classification framework.
Multim. Tools Appl., 2018

A review of semantic segmentation using deep neural networks.
Int. J. Multim. Inf. Retr., 2018

Learning Fluid Flows.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

A Simple Convolutional Neural Network for Accurate P300 Detection and Character Spelling in Brain Computer Interface.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

An Extensive Study of Cycle-Consistent Generative Networks for Image-to-Image Translation.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

A Dual Prediction Network for Image Captioning.
Proceedings of the 2018 IEEE International Conference on Multimedia and Expo, 2018

2017
What Convnets Make for Image Captioning?
Proceedings of the MultiMedia Modeling - 23rd International Conference, 2017

On the Exploration of Convolutional Fusion Networks for Visual Recognition.
Proceedings of the MultiMedia Modeling - 23rd International Conference, 2017

Improving the discrimination between foreground and background for semantic segmentation.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Learning a Recurrent Residual Fusion Network for Multimodal Matching.
Proceedings of the IEEE International Conference on Computer Vision, 2017

2016
Hierarchical projective invariant contexts for shape recognition.
Pattern Recognit., 2016

Deep learning for visual understanding: A review.
Neurocomputing, 2016

Learning Relaxed Deep Supervision for Better Edge Detection.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015
Convolutional Neural Networks Features: Principal Pyramidal Convolution.
Proceedings of the Advances in Multimedia Information Processing - PCM 2015, 2015

DeepIndex for Accurate and Efficient Image Retrieval.
Proceedings of the 5th ACM on International Conference on Multimedia Retrieval, 2015

2014
A new geometric descriptor for symbols with affine deformations.
Pattern Recognit. Lett., 2014

2013
A shape matching framework using metric partition constraint.
Proceedings of the IEEE International Conference on Image Processing, 2013


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