A shape matching framework using metric partition constraint. - Yu Liu 012; Qi Jia 001; He Guo 001; Xin Fan 001 (ICIP, 2013)

A new geometric descriptor for symbols with affine deformations. - Qi Jia 001; Xin Fan 001; Zhongxuan Luo; Yu Liu 012; He Guo 001 (Pattern Recognit. Lett., 2014)

DeepIndex for Accurate and Efficient Image Retrieval. - Yu Liu 012; Yanming Guo; Song Wu 003; Michael S. Lew (ICMR, 2015)

Convolutional Neural Networks Features: Principal Pyramidal Convolution. - Yanming Guo; Songyang Lao; Yu Liu 012; Liang Bai; Shi Liu; Michael S. Lew (PCM (1), 2015)

Learning Relaxed Deep Supervision for Better Edge Detection. - Yu Liu 012; Michael S. Lew (CVPR, 2016)

Deep learning for visual understanding: A review. - Yanming Guo; Yu Liu 012; Ard Oerlemans; Songyang Lao; Song Wu 003; Michael S. Lew (Neurocomputing, 2016)

Hierarchical projective invariant contexts for shape recognition. - Qi Jia 001; Xin Fan 001; Yu Liu 012; Haojie Li; Zhongxuan Luo; He Guo 001 (Pattern Recognit., 2016)

Learning a Recurrent Residual Fusion Network for Multimodal Matching. - Yu Liu 012; Yanming Guo; Erwin M. Bakker; Michael S. Lew (ICCV, 2017)

Improving the discrimination between foreground and background for semantic segmentation. - Yu Liu 012; Michael S. Lew (ICIP, 2017)

On the Exploration of Convolutional Fusion Networks for Visual Recognition. - Yu Liu 012; Yanming Guo; Michael S. Lew (MMM (1), 2017)

What Convnets Make for Image Captioning? - Yu Liu 012; Yanming Guo; Michael S. Lew (MMM (1), 2017)

A Dual Prediction Network for Image Captioning. - Yanming Guo; Yu Liu 012; Maaike H. T. de Boer; Li Liu 002; Michael S. Lew (ICME, 2018)

An Extensive Study of Cycle-Consistent Generative Networks for Image-to-Image Translation. - Yu Liu 012; Yanming Guo; Wei Chen 072; Michael S. Lew (ICPR, 2018)

A Simple Convolutional Neural Network for Accurate P300 Detection and Character Spelling in Brain Computer Interface. - Hongchang Shan; Yu Liu 012; Todor P. Stefanov (IJCAI, 2018)

Learning Fluid Flows. - Theodoros Georgiou 001; Sebastian Schmitt; Markus Olhofer; Yu Liu 012; Thomas Bäck; Michael S. Lew (IJCNN, 2018)

A review of semantic segmentation using deep neural networks. - Yanming Guo; Yu Liu 012; Theodoros Georgiou 001; Michael S. Lew (Int. J. Multim. Inf. Retr., 2018)

CNN-RNN: a large-scale hierarchical image classification framework. - Yanming Guo; Yu Liu 012; Erwin M. Bakker; Yuanhao Guo; Michael S. Lew (Multim. Tools Appl., 2018)

Fusion that matters: convolutional fusion networks for visual recognition. - Yu Liu 012; Yanming Guo; Theodoros Georgiou 001; Michael S. Lew (Multim. Tools Appl., 2018)

Learning visual and textual representations for multimodal matching and classification. - Yu Liu 012; Li Liu 002; Yanming Guo; Michael S. Lew (Pattern Recognit., 2018)

Bag of Surrogate Parts Feature for Visual Recognition. - Yanming Guo; Yu Liu 012; Songyang Lao; Erwin M. Bakker; Liang Bai; Michael S. Lew (IEEE Trans. Multim., 2018)

An Empirical Study on Sensor-aware Design of Convolutional Neural Networks for P300 Speller in Brain Computer Interface. - Hongchang Shan; Yu Liu 012; Todor P. Stefanov (HSI, 2019)

Ensemble of Convolutional Neural Networks for P300 Speller in Brain Computer Interface. - Hongchang Shan; Yu Liu 012; Todor P. Stefanov (ICANN (4), 2019)

Domain Uncertainty Based On Information Theory for Cross-Modal Hash Retrieval. - Wei Chen 072; Nan Pu; Yu Liu 012; Erwin M. Bakker; Michael S. Lew (ICME, 2019)

CycleMatch: A cycle-consistent embedding network for image-text matching. - Yu Liu 012; Yanming Guo; Li Liu 002; Erwin M. Bakker; Michael S. Lew (Pattern Recognit., 2019)

SwapGAN: A Multistage Generative Approach for Person-to-Person Fashion Style Transfer. - Yu Liu 012; Wei Chen 072; Li Liu 002; Michael S. Lew (IEEE Trans. Multim., 2019)

On the Exploration of Incremental Learning for Fine-grained Image Retrieval. - Wei Chen 072; Yu Liu 012; Weiping Wang 002; Tinne Tuytelaars; Erwin M. Bakker; Michael S. Lew (BMVC, 2020)

A Novel Baseline for Zero-shot Learning via Adversarial Visual-Semantic Embedding. - Yu Liu 012; Tinne Tuytelaars (BMVC, 2020)

More Classifiers, Less Forgetting: A Generic Multi-classifier Paradigm for Incremental Learning. - Yu Liu 012; Sarah Parisot; Gregory G. Slabaugh; Xu Jia 012; Ales Leonardis; Tinne Tuytelaars (ECCV (26), 2020)

Commands 4 Autonomous Vehicles (C4AV) Workshop Summary. - Thierry Deruyttere; Simon Vandenhende; Dusan Grujicic; Yu Liu 012; Luc Van Gool; Matthew B. Blaschko; Tinne Tuytelaars; Marie-Francine Moens (ECCV Workshops (2), 2020)

Dual Gaussian-based Variational Subspace Disentanglement for Visible-Infrared Person Re-Identification. - Nan Pu; Wei Chen 072; Yu Liu 012; Erwin M. Bakker; Michael S. Lew (ACM Multimedia, 2020)

A survey of traditional and deep learning-based feature descriptors for high dimensional data in computer vision. - Theodoros Georgiou 001; Yu Liu 012; Wei Chen 072; Michael S. Lew (Int. J. Multim. Inf. Retr., 2020)

A Deep Multi-Modal Explanation Model for Zero-Shot Learning. - Yu Liu 012; Tinne Tuytelaars (IEEE Trans. Image Process., 2020)

Lifelong Person Re-Identification via Adaptive Knowledge Accumulation. - Nan Pu; Wei Chen 072; Yu Liu 012; Erwin M. Bakker; Michael S. Lew (CVPR, 2021)

A Language Prior Based Focal Loss for Visual Question Answering. - Mingrui Lao; Yanming Guo; Yu Liu 012; Michael S. Lew (ICME, 2021)

Underwater Species Detection using Channel Sharpening Attention. - Lihao Jiang; Yi Wang 037; Qi Jia 001; Shengwei Xu; Yu Liu 012; Xin Fan 001; Haojie Li; Risheng Liu; Xinwei Xue; Ruili Wang (ACM Multimedia, 2021)

From Superficial to Deep: Language Bias driven Curriculum Learning for Visual Question Answering. - Mingrui Lao; Yanming Guo; Yu Liu 012; Wei Chen 072; Nan Pu; Michael S. Lew (ACM Multimedia, 2021)

Deep Image Retrieval: A Survey. - Wei Chen 072; Yu Liu 012; Weiping Wang 002; Erwin M. Bakker; Theodoros Georgiou 001; Paul W. Fieguth; Li Liu 002; Michael S. Lew (CoRR, 2021)

Multi-stage hybrid embedding fusion network for visual question answering. - Mingrui Lao; Yanming Guo; Nan Pu; Wei Chen 072; Yu Liu 012; Michael S. Lew (Neurocomputing, 2021)

Integrating information theory and adversarial learning for cross-modal retrieval. - Wei Chen 072; Yu Liu 012; Erwin M. Bakker; Michael S. Lew (Pattern Recognit., 2021)

Segment, Magnify and Reiterate: Detecting Camouflaged Objects the Hard Way. - Qi Jia 001; Shuilian Yao; Yu Liu 012; Xin Fan 001; Risheng Liu; Zhongxuan Luo (CVPR, 2022)

Meta Reconciliation Normalization for Lifelong Person Re-Identification. - Nan Pu; Yu Liu 012; Wei Chen 072; Erwin M. Bakker; Michael S. Lew (ACM Multimedia, 2022)

Feature Estimations Based Correlation Distillation for Incremental Image Retrieval. - Wei Chen 072; Yu Liu 012; Nan Pu; Weiping Wang 002; Li Liu 002; Michael S. Lew (IEEE Trans. Multim., 2022)

COCA: COllaborative CAusal Regularization for Audio-Visual Question Answering. - Mingrui Lao; Nan Pu; Yu Liu 012; Kai He; Erwin M. Bakker; Michael S. Lew (AAAI, 2023)

Learning Pixel-wise Alignment for Unsupervised Image Stitching. - Qi Jia 001; Xiaomei Feng; Yu Liu 012; Xin Fan 001; Longin Jan Latecki (ACM Multimedia, 2023)

Multi-Domain Lifelong Visual Question Answering via Self-Critical Distillation. - Mingrui Lao; Nan Pu; Yu Liu 012; Zhun Zhong; Erwin M. Bakker; Nicu Sebe; Michael S. Lew (ACM Multimedia, 2023)

Broaden Your Positives: A General Rectification Approach for Novel Class Discovery. - Yaqi Cai; Nan Pu; Qi Jia 001; Weimin Wang 007; Yu Liu 012 (PRCV (4), 2023)

ARBiBench: Benchmarking Adversarial Robustness of Binarized Neural Networks. - Peng Zhao; Jiehua Zhang; Bowen Peng; Longguang Wang; Yingmei Wei; Yu Liu 012; Li Liu 002 (CoRR, 2023)

Lifelong Fine-Grained Image Retrieval. - Wei Chen 072; Haoyang Xu; Nan Pu; Yu Liu 012; Mingrui Lao; Weiping Wang 002; Li Liu 002; Michael S. Lew (IEEE Trans. Multim., 2023)

Deep learning for video-text retrieval: a review. - Cunjuan Zhu; Qi Jia 001; Wei Chen 072; Yanming Guo; Yu Liu 012 (Int. J. Multim. Inf. Retr., 2023)

Deep Learning for Instance Retrieval: A Survey. - Wei Chen 072; Yu Liu 012; Weiping Wang 002; Erwin M. Bakker; Theodoros Georgiou 001; Paul W. Fieguth; Li Liu 002; Michael S. Lew (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Snow Removal for LiDAR Point Clouds With Spatio-Temporal Conditional Random Fields. - Weimin Wang 007; Ting Yang; Yu Du; Yu Liu 012 (IEEE Robotics Autom. Lett., 2023)

Residual Tuning: Toward Novel Category Discovery Without Labels. - Yu Liu 012; Tinne Tuytelaars (IEEE Trans. Neural Networks Learn. Syst., 2023)

Novel Class Discovery for Ultra-Fine-Grained Visual Categorization. - Yu Liu 012; Yaqi Cai; Qi Jia 001; Binglin Qiu; Weimin Wang 007; Nan Pu (CVPR, 2024)

Depth-Guided Dominant Plane Perception for Unsupervised Homography Estimation. - Xiaomei Feng; Qi Jia 001; Yu Liu 012; Xin Fan 001; Longin Jan Latecki (ICASSP, 2024)

Attribution-Based Scanline Perturbation Attack on 3d Detectors of Lidar Point Clouds. - Ziyang Yu 004; Ting Yang; Qiong Chang; Yu Liu 012; Weimin Wang 007 (ICASSP, 2024)

CSCNet: Class-Specified Cascaded Network for Compositional Zero-Shot Learning. - Yanyi Zhang; Qi Jia 001; Xin Fan 001; Yu Liu 012; Ran He (ICASSP, 2024)

Sketch-Based 3D Shape Retrieval With Multi-View Fusion Transformer. - Cunjuan Zhu; Dongdong Cui; Qi Jia 001; Weimin Wang 007; Yu Liu 012; Michael S. Lew (ICASSP, 2024)

Fuzzy Boundary-Guided Network for Camouflaged Object Detection. - Qi Jia 001; Shuilian Yao; Youcan Xu; Yu Liu 012; Dehao Kong; Longin Jan Latecki (ICME, 2024)

Joint edge detection learning for recurrent homography estimation. - Qi Jia 001; Zikun Zhao; Xiaomei Feng; Jinyuan Liu; Yu Liu 012; Xinwei Xue (ICME, 2024)

Unseen No More: Unlocking the Potential of CLIP for Generative Zero-shot HOI Detection. - Yixin Guo; Yu Liu 012; Jianghao Li; Weimin Wang 007; Qi Jia 001 (ACM Multimedia, 2024)

Two Teachers Are Better Than One: Semi-supervised Elliptical Object Detection by Dual-Teacher Collaborative Guidance. - Yu Liu 012; Longhan Feng; Qi Jia 001; Zezheng Liu; Zi-Huang Cao (ACM Multimedia, 2024)

Cross Domain Object Detection via Multi-Granularity Confidence Alignment based Mean Teacher. - Jiangming Chen; Li Liu 002; Wanxia Deng; Zhen Liu 004; Yu Liu 012; Yingmei Wei; Yongxiang Liu (CoRR, 2024)

MergeNet: Explicit Mesh Reconstruction from Sparse Point Clouds via Edge Prediction. - Weimin Wang 007; Yingxu Deng; Zezeng Li; Yu Liu 012; Na Lei (CoRR, 2024)

Not Just Object, But State: Compositional Incremental Learning without Forgetting. - Yanyi Zhang; Binglin Qiu; Qi Jia 001; Yu Liu 012; Ran He (CoRR, 2024)

PMGNet: Disentanglement and entanglement benefit mutually for compositional zero-shot learning. - Yu Liu 012; Jianghao Li; Yanyi Zhang; Qi Jia 001; Weimin Wang 007; Nan Pu; Nicu Sebe (Comput. Vis. Image Underst., 2024)

Edge-Aware Correlation Learning for Unsupervised Progressive Homography Estimation. - Xiaomei Feng; Qi Jia 001; Zikun Zhao; Yu Liu 012; Xinwei Xue; Xin Fan 001 (IEEE Trans. Circuits Syst. Video Technol., 2024)

As Pseudo-Label Free as Possible: Leveraging Adaptive Feature Generation for Sparsely Annotated Object Detection. - Shuilian Yao; Yu Liu 012; Qi Jia 001; Sihong Chen; Wei Zhuo (AAAI, 2025)

Bilevel progressive homography estimation via correlative region-focused transformer. - Qi Jia 001; Xiaomei Feng; Wei Zhang; Yu Liu 012; Nan Pu; Nicu Sebe (Comput. Vis. Image Underst., 2025)

Refining Pseudo Labeling via Multi-Granularity Confidence Alignment for Unsupervised Cross Domain Object Detection. - Jiangming Chen; Li Liu 002; Wanxia Deng; Zhen Liu 004; Yu Liu 012; Yingmei Wei; Yongxiang Liu (IEEE Trans. Image Process., 2025)

Rectangling for Stitched Image via Pixel-Wise Deformation Learning. - Xiaomei Feng; Qi Jia 001; Yu Liu 012; Weimin Wang 007; Yuqing Liu 001; Xinwei Xue (IEEE Trans. Multim., 2025)

Model-aware ellipse detection via parametric correlation learning. - Qi Jia 001; Zezheng Liu; Yu Liu 012; Yi Wang 037; Xinwei Xue; Weimin Wang 007 (Signal Process., 2026)