Yu Liu

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 60

Top Topics

Question Answering

Convolutional Neural Networks

Visual Recognition

Top Venues

IEEE Trans. Multim.

Publications

Ziyang Yu, Ting Yang, Qiong Chang, Yu Liu, Weimin Wang
Attribution-Based Scanline Perturbation Attack on 3d Detectors of Lidar Point Clouds. ICASSP (2024)
Weimin Wang, Yingxu Deng, Zezeng Li, Yu Liu, Na Lei
MergeNet: Explicit Mesh Reconstruction from Sparse Point Clouds via Edge Prediction. CoRR (2024)
Yanyi Zhang, Qi Jia, Xin Fan, Yu Liu, Ran He
CSCNet: Class-Specified Cascaded Network for Compositional Zero-Shot Learning. ICASSP (2024)
Xiaomei Feng, Qi Jia, Yu Liu, Xin Fan, Longin Jan Latecki
Depth-Guided Dominant Plane Perception for Unsupervised Homography Estimation. ICASSP (2024)
Xiaomei Feng, Qi Jia, Zikun Zhao, Yu Liu, Xinwei Xue, Xin Fan
Edge-Aware Correlation Learning for Unsupervised Progressive Homography Estimation. IEEE Trans. Circuits Syst. Video Technol. 34 (6) (2024)
Cunjuan Zhu, Dongdong Cui, Qi Jia, Weimin Wang, Yu Liu, Michael S. Lew
Sketch-Based 3D Shape Retrieval With Multi-View Fusion Transformer. ICASSP (2024)
Yu Liu, Tinne Tuytelaars
Residual Tuning: Toward Novel Category Discovery Without Labels. IEEE Trans. Neural Networks Learn. Syst. 34 (10) (2023)
Mingrui Lao, Nan Pu, Yu Liu, Zhun Zhong, Erwin M. Bakker, Nicu Sebe, Michael S. Lew
Multi-Domain Lifelong Visual Question Answering via Self-Critical Distillation. ACM Multimedia (2023)
Wei Chen, Haoyang Xu, Nan Pu, Yu Liu, Mingrui Lao, Weiping Wang, Li Liu, Michael S. Lew
Lifelong Fine-Grained Image Retrieval. IEEE Trans. Multim. 25 (2023)
Qi Jia, Xiaomei Feng, Yu Liu, Xin Fan, Longin Jan Latecki
Learning Pixel-wise Alignment for Unsupervised Image Stitching. ACM Multimedia (2023)
Mingrui Lao, Nan Pu, Yu Liu, Kai He, Erwin M. Bakker, Michael S. Lew
COCA: COllaborative CAusal Regularization for Audio-Visual Question Answering. AAAI (2023)
Wei Chen, Yu Liu, Weiping Wang, Erwin M. Bakker, Theodoros Georgiou, Paul W. Fieguth, Li Liu, Michael S. Lew
Deep Learning for Instance Retrieval: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. 45 (6) (2023)
Weimin Wang, Ting Yang, Yu Du, Yu Liu
Snow Removal for LiDAR Point Clouds With Spatio-Temporal Conditional Random Fields. IEEE Robotics Autom. Lett. 8 (10) (2023)
Cunjuan Zhu, Qi Jia, Wei Chen, Yanming Guo, Yu Liu
Deep Learning for Video-Text Retrieval: a Review. CoRR (2023)
Wei Chen, Yu Liu, Nan Pu, Weiping Wang, Li Liu, Michael S. Lew
Feature Estimations Based Correlation Distillation for Incremental Image Retrieval. IEEE Trans. Multim. 24 (2022)
Nan Pu, Yu Liu, Wei Chen, Erwin M. Bakker, Michael S. Lew
Meta Reconciliation Normalization for Lifelong Person Re-Identification. ACM Multimedia (2022)
Qi Jia, Shuilian Yao, Yu Liu, Xin Fan, Risheng Liu, Zhongxuan Luo
Segment, Magnify and Reiterate: Detecting Camouflaged Objects the Hard Way. CVPR (2022)
Lihao Jiang, Yi Wang, Qi Jia, Shengwei Xu, Yu Liu, Xin Fan, Haojie Li, Risheng Liu, Xinwei Xue, Ruili Wang
Underwater Species Detection using Channel Sharpening Attention. ACM Multimedia (2021)
Wei Chen, Yu Liu, Erwin M. Bakker, Michael S. Lew
Integrating Information Theory and Adversarial Learning for Cross-modal Retrieval. CoRR (2021)
Nan Pu, Wei Chen, Yu Liu, Erwin M. Bakker, Michael S. Lew
Lifelong Person Re-Identification via Adaptive Knowledge Accumulation. CVPR (2021)
Wei Chen, Yu Liu, Weiping Wang, Erwin M. Bakker, Theodoros Georgiou, Paul W. Fieguth, Li Liu, Michael S. Lew
Deep Image Retrieval: A Survey. CoRR (2021)
Mingrui Lao, Yanming Guo, Yu Liu, Wei Chen, Nan Pu, Michael S. Lew
From Superficial to Deep: Language Bias driven Curriculum Learning for Visual Question Answering. ACM Multimedia (2021)
Nan Pu, Wei Chen, Yu Liu, Erwin M. Bakker, Michael S. Lew
Lifelong Person Re-Identification via Adaptive Knowledge Accumulation. CoRR (2021)
Mingrui Lao, Yanming Guo, Yu Liu, Michael S. Lew
A Language Prior Based Focal Loss for Visual Question Answering. ICME (2021)
Wei Chen, Yu Liu, Erwin M. Bakker, Michael S. Lew
Integrating information theory and adversarial learning for cross-modal retrieval. Pattern Recognit. 117 (2021)
Mingrui Lao, Yanming Guo, Nan Pu, Wei Chen, Yu Liu, Michael S. Lew
Multi-stage hybrid embedding fusion network for visual question answering. Neurocomputing 423 (2021)
Theodoros Georgiou, Yu Liu, Wei Chen, Michael S. Lew
A survey of traditional and deep learning-based feature descriptors for high dimensional data in computer vision. Int. J. Multim. Inf. Retr. 9 (3) (2020)
Yu Liu, Tinne Tuytelaars
A Novel Baseline for Zero-shot Learning via Adversarial Visual-Semantic Embedding. BMVC (2020)
Nan Pu, Wei Chen, Yu Liu, Erwin M. Bakker, Michael S. Lew
Dual Gaussian-based Variational Subspace Disentanglement for Visible-Infrared Person Re-Identification. ACM Multimedia (2020)
Nan Pu, Wei Chen, Yu Liu, Erwin M. Bakker, Michael S. Lew
Dual Gaussian-based Variational Subspace Disentanglement for Visible-Infrared Person Re-Identification. CoRR (2020)
Yu Liu, Sarah Parisot, Gregory G. Slabaugh, Xu Jia, Ales Leonardis, Tinne Tuytelaars
More Classifiers, Less Forgetting: A Generic Multi-classifier Paradigm for Incremental Learning. ECCV (26) (2020)
Wei Chen, Yu Liu, Weiping Wang, Tinne Tuytelaars, Erwin M. Bakker, Michael S. Lew
On the Exploration of Incremental Learning for Fine-grained Image Retrieval. CoRR (2020)
Yu Liu, Tinne Tuytelaars
A Deep Multi-Modal Explanation Model for Zero-Shot Learning. IEEE Trans. Image Process. 29 (2020)
Wei Chen, Yu Liu, Weiping Wang, Tinne Tuytelaars, Erwin M. Bakker, Michael S. Lew
On the Exploration of Incremental Learning for Fine-grained Image Retrieval. BMVC (2020)
Thierry Deruyttere, Simon Vandenhende, Dusan Grujicic, Yu Liu, Luc Van Gool, Matthew B. Blaschko, Tinne Tuytelaars, Marie-Francine Moens
Commands 4 Autonomous Vehicles (C4AV) Workshop Summary. CoRR (2020)
Thierry Deruyttere, Simon Vandenhende, Dusan Grujicic, Yu Liu, Luc Van Gool, Matthew B. Blaschko, Tinne Tuytelaars, Marie-Francine Moens
Commands 4 Autonomous Vehicles (C4AV) Workshop Summary. ECCV Workshops (2) (2020)
Hongchang Shan, Yu Liu, Todor P. Stefanov
An Empirical Study on Sensor-aware Design of Convolutional Neural Networks for P300 Speller in Brain Computer Interface. HSI (2019)
Hongchang Shan, Yu Liu, Todor P. Stefanov
Ensemble of Convolutional Neural Networks for P300 Speller in Brain Computer Interface. ICANN (4) (2019)
Yu Liu, Yanming Guo, Li Liu, Erwin M. Bakker, Michael S. Lew
CycleMatch: A cycle-consistent embedding network for image-text matching. Pattern Recognit. 93 (2019)
Wei Chen, Nan Pu, Yu Liu, Erwin M. Bakker, Michael S. Lew
Domain Uncertainty Based On Information Theory for Cross-Modal Hash Retrieval. ICME (2019)
Yu Liu, Wei Chen, Li Liu, Michael S. Lew
SwapGAN: A Multistage Generative Approach for Person-to-Person Fashion Style Transfer. IEEE Trans. Multim. 21 (9) (2019)
Yanming Guo, Yu Liu, Erwin M. Bakker, Yuanhao Guo, Michael S. Lew
CNN-RNN: a large-scale hierarchical image classification framework. Multim. Tools Appl. 77 (8) (2018)
Yanming Guo, Yu Liu, Songyang Lao, Erwin M. Bakker, Liang Bai, Michael S. Lew
Bag of Surrogate Parts Feature for Visual Recognition. IEEE Trans. Multim. 20 (6) (2018)
Yanming Guo, Yu Liu, Maaike H. T. de Boer, Li Liu, Michael S. Lew
A Dual Prediction Network for Image Captioning. ICME (2018)
Yu Liu, Yanming Guo, Theodoros Georgiou, Michael S. Lew
Fusion that matters: convolutional fusion networks for visual recognition. Multim. Tools Appl. 77 (22) (2018)
Yanming Guo, Yu Liu, Theodoros Georgiou, Michael S. Lew
A review of semantic segmentation using deep neural networks. Int. J. Multim. Inf. Retr. 7 (2) (2018)
Hongchang Shan, Yu Liu, Todor P. Stefanov
A Simple Convolutional Neural Network for Accurate P300 Detection and Character Spelling in Brain Computer Interface. IJCAI (2018)
Yu Liu, Yanming Guo, Wei Chen, Michael S. Lew
An Extensive Study of Cycle-Consistent Generative Networks for Image-to-Image Translation. ICPR (2018)
Theodoros Georgiou, Sebastian Schmitt, Markus Olhofer, Yu Liu, Thomas Bäck, Michael S. Lew
Learning Fluid Flows. IJCNN (2018)
Yu Liu, Li Liu, Yanming Guo, Michael S. Lew
Learning visual and textual representations for multimodal matching and classification. Pattern Recognit. 84 (2018)
Yu Liu, Yanming Guo, Michael S. Lew
What Convnets Make for Image Captioning? MMM (1) (2017)
Yu Liu, Yanming Guo, Michael S. Lew
On the Exploration of Convolutional Fusion Networks for Visual Recognition. MMM (1) (2017)
Yu Liu, Yanming Guo, Erwin M. Bakker, Michael S. Lew
Learning a Recurrent Residual Fusion Network for Multimodal Matching. ICCV (2017)
Yu Liu, Michael S. Lew
Improving the discrimination between foreground and background for semantic segmentation. ICIP (2017)
Yu Liu, Yanming Guo, Michael S. Lew
On the Exploration of Convolutional Fusion Networks for Visual Recognition. CoRR (2016)
Qi Jia, Xin Fan, Yu Liu, Haojie Li, Zhongxuan Luo, He Guo
Hierarchical projective invariant contexts for shape recognition. Pattern Recognit. 52 (2016)
Yanming Guo, Yu Liu, Ard Oerlemans, Songyang Lao, Song Wu, Michael S. Lew
Deep learning for visual understanding: A review. Neurocomputing 187 (2016)
Yu Liu, Michael S. Lew
Learning Relaxed Deep Supervision for Better Edge Detection. CVPR (2016)
Yu Liu, Yanming Guo, Song Wu, Michael S. Lew
DeepIndex for Accurate and Efficient Image Retrieval. ICMR (2015)
Yanming Guo, Songyang Lao, Yu Liu, Liang Bai, Shi Liu, Michael S. Lew
Convolutional Neural Networks Features: Principal Pyramidal Convolution. PCM (1) (2015)
Qi Jia, Xin Fan, Zhongxuan Luo, Yu Liu, He Guo
A new geometric descriptor for symbols with affine deformations. Pattern Recognit. Lett. 40 (2014)
Yu Liu, Qi Jia, He Guo, Xin Fan
A shape matching framework using metric partition constraint. ICIP (2013)