Yu Liu

89 papers A* 19A 8B 5C 1Misc 4Journal 45Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
CTFS : Collaborative Teacher Framework for Forward-Looking Sonar Image Semantic Segmentation with Extremely Limited Labels.
CoRR
Ping Guo, Chengzhou Li, Guanchen Meng, Qi Jia, Jinyuan Liu, Zhu Liu, Yu Liu, Zhongxuan Luo, Xin Fan
2026 A* conf
Learning 3D Occupancy from Beam Overlap in 2D Rotating mmWave Radar.
AAAI
Yu Du, Ruifeng Nie, Long Ma, Chengpei Xu, Yu Liu, Weimin Wang
2026 J jnl
Model-aware ellipse detection via parametric correlation learning.
Signal Process.
Qi Jia, Zezheng Liu, Yu Liu, Yi Wang, Xinwei Xue, Weimin Wang
2026 A* conf
RSOD: Reliability-Guided Sonar Image Object Detection with Extremely Limited Labels.
AAAI
Chengzhou Li, Ping Guo, Guanchen Meng, Qi Jia, Jinyuan Liu, Zhu Liu, Xiaokang Liu, Yu Liu, Zhongxuan Luo, Xin Fan
2026 J jnl
RSOD: Reliability-Guided Sonar Image Object Detection with Extremely Limited Labels.
CoRR
Chengzhou Li, Ping Guo, Guanchen Meng, Qi Jia, Jinyuan Liu, Zhu Liu, Xiaokang Liu, Yu Liu, Zhongxuan Luo, Xin Fan
2026 J jnl
SWG-Fusion: Soft weather-guided multimodal fusion with VLM-assistance for BEV object detection under harsh weather.
Pattern Recognit.
Weimin Wang, Ruifeng Nie, Yingchi Liu, Long Ma, Chengpei Xu, Qi Jia, Yu Liu, Na Lei
2025 J jnl
3D-NLM: Voxel-based non-local means for 3D point cloud noise detection and smoothing.
Comput. Graph.
Weimin Wang, Xin Tan, Liang Li, Yu Liu, Qiong Chang
2025 A* conf
As Pseudo-Label Free as Possible: Leveraging Adaptive Feature Generation for Sparsely Annotated Object Detection.
AAAI
Shuilian Yao, Yu Liu, Qi Jia, Sihong Chen, Wei Zhuo
2025 J jnl
Bilevel progressive homography estimation via correlative region-focused transformer.
Comput. Vis. Image Underst.
Qi Jia, Xiaomei Feng, Wei Zhang, Yu Liu, Nan Pu, Nicu Sebe
2025 A* conf
Physics-Guided Sonar Image Fine-grained Recognition under Scarce Annotations.
ACM Multimedia
Chengzhou Li, Xiaokang Liu, Qi Jia, Jinyuan Liu, Zhiying Jiang, Longhan Feng, Yu Liu, Zhongxuan Luo, Xin Fan
2025 J jnl
Rectangling for Stitched Image via Pixel-Wise Deformation Learning.
IEEE Trans. Multim.
Xiaomei Feng, Qi Jia, Yu Liu, Weimin Wang, Yuqing Liu, Xinwei Xue
2025 J jnl
Refining Pseudo Labeling via Multi-Granularity Confidence Alignment for Unsupervised Cross Domain Object Detection.
IEEE Trans. Image Process.
Jiangming Chen, Li Liu, Wanxia Deng, Zhen Liu, Yu Liu, Yingmei Wei, Yongxiang Liu
2024 Misc conf
Attribution-Based Scanline Perturbation Attack on 3d Detectors of Lidar Point Clouds.
ICASSP
Ziyang Yu, Ting Yang, Qiong Chang, Yu Liu, Weimin Wang
2024 J jnl
CSCNET: Class-Specified Cascaded Network for Compositional Zero-Shot Learning.
CoRR
Yanyi Zhang, Qi Jia, Xin Fan, Yu Liu, Ran He
2024 Misc conf
CSCNet: Class-Specified Cascaded Network for Compositional Zero-Shot Learning.
ICASSP
Yanyi Zhang, Qi Jia, Xin Fan, Yu Liu, Ran He
2024 J jnl
Cross Domain Object Detection via Multi-Granularity Confidence Alignment based Mean Teacher.
CoRR
Jiangming Chen, Li Liu, Wanxia Deng, Zhen Liu, Yu Liu, Yingmei Wei, Yongxiang Liu
2024 Misc conf
Depth-Guided Dominant Plane Perception for Unsupervised Homography Estimation.
ICASSP
Xiaomei Feng, Qi Jia, Yu Liu, Xin Fan, Longin Jan Latecki
2024 J jnl
Edge-Aware Correlation Learning for Unsupervised Progressive Homography Estimation.
IEEE Trans. Circuits Syst. Video Technol.
Xiaomei Feng, Qi Jia, Zikun Zhao, Yu Liu, Xinwei Xue, Xin Fan
2024 A conf
Fuzzy Boundary-Guided Network for Camouflaged Object Detection.
ICME
Qi Jia, Shuilian Yao, Youcan Xu, Yu Liu, Dehao Kong, Longin Jan Latecki
2024 A conf
Joint edge detection learning for recurrent homography estimation.
ICME
Qi Jia, Zikun Zhao, Xiaomei Feng, Jinyuan Liu, Yu Liu, Xinwei Xue
2024 A conf
MergeNet: Explicit Mesh Reconstruction from Sparse Point Clouds via Edge Prediction.
ICME
Weimin Wang, Yingxu Deng, Zezeng Li, Yu Liu, Na Lei
2024 J jnl
MergeNet: Explicit Mesh Reconstruction from Sparse Point Clouds via Edge Prediction.
CoRR
Weimin Wang, Yingxu Deng, Zezeng Li, Yu Liu, Na Lei
2024 J jnl
Not Just Object, But State: Compositional Incremental Learning without Forgetting.
CoRR
Yanyi Zhang, Binglin Qiu, Qi Jia, Yu Liu, Ran He
2024 A* conf
Novel Class Discovery for Ultra-Fine-Grained Visual Categorization.
CVPR
Yu Liu, Yaqi Cai, Qi Jia, Binglin Qiu, Weimin Wang, Nan Pu
2024 J jnl
Novel Class Discovery for Ultra-Fine-Grained Visual Categorization.
CoRR
Yu Liu, Yaqi Cai, Qi Jia, Binglin Qiu, Weimin Wang, Nan Pu
2024 J jnl
PMGNet: Disentanglement and entanglement benefit mutually for compositional zero-shot learning.
Comput. Vis. Image Underst.
Yu Liu, Jianghao Li, Yanyi Zhang, Qi Jia, Weimin Wang, Nan Pu, Nicu Sebe
2024 Misc conf
Sketch-Based 3D Shape Retrieval With Multi-View Fusion Transformer.
ICASSP
Cunjuan Zhu, Dongdong Cui, Qi Jia, Weimin Wang, Yu Liu, Michael S. Lew
2024 A* conf
Two Teachers Are Better Than One: Semi-supervised Elliptical Object Detection by Dual-Teacher Collaborative Guidance.
ACM Multimedia
Yu Liu, Longhan Feng, Qi Jia, Zezheng Liu, Zi-Huang Cao
2024 A* conf
Unseen No More: Unlocking the Potential of CLIP for Generative Zero-shot HOI Detection.
ACM Multimedia
Yixin Guo, Yu Liu, Jianghao Li, Weimin Wang, Qi Jia
2024 J jnl
Unseen No More: Unlocking the Potential of CLIP for Generative Zero-shot HOI Detection.
CoRR
Yixin Guo, Yu Liu, Jianghao Li, Weimin Wang, Qi Jia
2023 J jnl
ARBiBench: Benchmarking Adversarial Robustness of Binarized Neural Networks.
CoRR
Peng Zhao, Jiehua Zhang, Bowen Peng, Longguang Wang, Yingmei Wei, Yu Liu, Li Liu
2023 — conf
Broaden Your Positives: A General Rectification Approach for Novel Class Discovery.
PRCV (4)
Yaqi Cai, Nan Pu, Qi Jia, Weimin Wang, Yu Liu
2023 A* conf
COCA: COllaborative CAusal Regularization for Audio-Visual Question Answering.
AAAI
Mingrui Lao, Nan Pu, Yu Liu, Kai He, Erwin M. Bakker, Michael S. Lew
2023 J jnl
Deep Learning for Instance Retrieval: A Survey.
IEEE Trans. Pattern Anal. Mach. Intell.
Wei Chen, Yu Liu, Weiping Wang, Erwin M. Bakker, Theodoros Georgiou, Paul W. Fieguth, Li Liu, Michael S. Lew
2023 J jnl
Deep Learning for Video-Text Retrieval: a Review.
CoRR
Cunjuan Zhu, Qi Jia, Wei Chen, Yanming Guo, Yu Liu
2023 J jnl
Deep learning for video-text retrieval: a review.
Int. J. Multim. Inf. Retr.
Cunjuan Zhu, Qi Jia, Wei Chen, Yanming Guo, Yu Liu
2023 A* conf
Learning Pixel-wise Alignment for Unsupervised Image Stitching.
ACM Multimedia
Qi Jia, Xiaomei Feng, Yu Liu, Xin Fan, Longin Jan Latecki
2023 J jnl
Lifelong Fine-Grained Image Retrieval.
IEEE Trans. Multim.
Wei Chen, Haoyang Xu, Nan Pu, Yu Liu, Mingrui Lao, Weiping Wang, Li Liu, Michael S. Lew
2023 A* conf
Multi-Domain Lifelong Visual Question Answering via Self-Critical Distillation.
ACM Multimedia
Mingrui Lao, Nan Pu, Yu Liu, Zhun Zhong, Erwin M. Bakker, Nicu Sebe, Michael S. Lew
2023 J jnl
Residual Tuning: Toward Novel Category Discovery Without Labels.
IEEE Trans. Neural Networks Learn. Syst.
Yu Liu, Tinne Tuytelaars
2023 J jnl
Snow Removal for LiDAR Point Clouds With Spatio-Temporal Conditional Random Fields.
IEEE Robotics Autom. Lett.
Weimin Wang, Ting Yang, Yu Du, Yu Liu
2022 J jnl
Feature Estimations Based Correlation Distillation for Incremental Image Retrieval.
IEEE Trans. Multim.
Wei Chen, Yu Liu, Nan Pu, Weiping Wang, Li Liu, Michael S. Lew
2022 A* conf
Meta Reconciliation Normalization for Lifelong Person Re-Identification.
ACM Multimedia
Nan Pu, Yu Liu, Wei Chen, Erwin M. Bakker, Michael S. Lew
2022 A* conf
Segment, Magnify and Reiterate: Detecting Camouflaged Objects the Hard Way.
CVPR
Qi Jia, Shuilian Yao, Yu Liu, Xin Fan, Risheng Liu, Zhongxuan Luo
2021 A conf
A Language Prior Based Focal Loss for Visual Question Answering.
ICME
Mingrui Lao, Yanming Guo, Yu Liu, Michael S. Lew
2021 J jnl
Deep Image Retrieval: A Survey.
CoRR
Wei Chen, Yu Liu, Weiping Wang, Erwin M. Bakker, Theodoros Georgiou, Paul W. Fieguth, Li Liu, Michael S. Lew
2021 A* conf
From Superficial to Deep: Language Bias driven Curriculum Learning for Visual Question Answering.
ACM Multimedia
Mingrui Lao, Yanming Guo, Yu Liu, Wei Chen, Nan Pu, Michael S. Lew
2021 J jnl
Integrating Information Theory and Adversarial Learning for Cross-modal Retrieval.
CoRR
Wei Chen, Yu Liu, Erwin M. Bakker, Michael S. Lew
2021 J jnl
Integrating information theory and adversarial learning for cross-modal retrieval.
Pattern Recognit.
Wei Chen, Yu Liu, Erwin M. Bakker, Michael S. Lew
2021 A* conf
Lifelong Person Re-Identification via Adaptive Knowledge Accumulation.
CVPR
Nan Pu, Wei Chen, Yu Liu, Erwin M. Bakker, Michael S. Lew
2021 J jnl
Lifelong Person Re-Identification via Adaptive Knowledge Accumulation.
CoRR
Nan Pu, Wei Chen, Yu Liu, Erwin M. Bakker, Michael S. Lew
2021 J jnl
Multi-stage hybrid embedding fusion network for visual question answering.
Neurocomputing
Mingrui Lao, Yanming Guo, Nan Pu, Wei Chen, Yu Liu, Michael S. Lew
2021 A* conf
Underwater Species Detection using Channel Sharpening Attention.
ACM Multimedia
Lihao Jiang, Yi Wang, Qi Jia, Shengwei Xu, Yu Liu, Xin Fan, Haojie Li, Risheng Liu, Xinwei Xue, Ruili Wang
2020 J jnl
A Deep Multi-Modal Explanation Model for Zero-Shot Learning.
IEEE Trans. Image Process.
Yu Liu, Tinne Tuytelaars
2020 A conf
A Novel Baseline for Zero-shot Learning via Adversarial Visual-Semantic Embedding.
BMVC
Yu Liu, Tinne Tuytelaars
2020 J jnl
A survey of traditional and deep learning-based feature descriptors for high dimensional data in computer vision.
Int. J. Multim. Inf. Retr.
Theodoros Georgiou, Yu Liu, Wei Chen, Michael S. Lew
2020 — conf
Commands 4 Autonomous Vehicles (C4AV) Workshop Summary.
ECCV Workshops (2)
Thierry Deruyttere, Simon Vandenhende, Dusan Grujicic, Yu Liu, Luc Van Gool, Matthew B. Blaschko, Tinne Tuytelaars, Marie-Francine Moens
2020 J jnl
Commands 4 Autonomous Vehicles (C4AV) Workshop Summary.
CoRR
Thierry Deruyttere, Simon Vandenhende, Dusan Grujicic, Yu Liu, Luc Van Gool, Matthew B. Blaschko, Tinne Tuytelaars, Marie-Francine Moens
2020 A* conf
Dual Gaussian-based Variational Subspace Disentanglement for Visible-Infrared Person Re-Identification.
ACM Multimedia
Nan Pu, Wei Chen, Yu Liu, Erwin M. Bakker, Michael S. Lew
2020 J jnl
Dual Gaussian-based Variational Subspace Disentanglement for Visible-Infrared Person Re-Identification.
CoRR
Nan Pu, Wei Chen, Yu Liu, Erwin M. Bakker, Michael S. Lew
2020 — conf
More Classifiers, Less Forgetting: A Generic Multi-classifier Paradigm for Incremental Learning.
ECCV (26)
Yu Liu, Sarah Parisot, Gregory G. Slabaugh, Xu Jia, Ales Leonardis, Tinne Tuytelaars
2020 A conf
On the Exploration of Incremental Learning for Fine-grained Image Retrieval.
BMVC
Wei Chen, Yu Liu, Weiping Wang, Tinne Tuytelaars, Erwin M. Bakker, Michael S. Lew
2020 J jnl
On the Exploration of Incremental Learning for Fine-grained Image Retrieval.
CoRR
Wei Chen, Yu Liu, Weiping Wang, Tinne Tuytelaars, Erwin M. Bakker, Michael S. Lew
2019 C conf
An Empirical Study on Sensor-aware Design of Convolutional Neural Networks for P300 Speller in Brain Computer Interface.
HSI
Hongchang Shan, Yu Liu, Todor P. Stefanov
2019 J jnl
CycleMatch: A cycle-consistent embedding network for image-text matching.
Pattern Recognit.
Yu Liu, Yanming Guo, Li Liu, Erwin M. Bakker, Michael S. Lew
2019 A conf
Domain Uncertainty Based On Information Theory for Cross-Modal Hash Retrieval.
ICME
Wei Chen, Nan Pu, Yu Liu, Erwin M. Bakker, Michael S. Lew
2019 — conf
Ensemble of Convolutional Neural Networks for P300 Speller in Brain Computer Interface.
ICANN (4)
Hongchang Shan, Yu Liu, Todor P. Stefanov
2019 J jnl
SwapGAN: A Multistage Generative Approach for Person-to-Person Fashion Style Transfer.
IEEE Trans. Multim.
Yu Liu, Wei Chen, Li Liu, Michael S. Lew
2018 A conf
A Dual Prediction Network for Image Captioning.
ICME
Yanming Guo, Yu Liu, Maaike H. T. de Boer, Li Liu, Michael S. Lew
2018 A* conf
A Simple Convolutional Neural Network for Accurate P300 Detection and Character Spelling in Brain Computer Interface.
IJCAI
Hongchang Shan, Yu Liu, Todor P. Stefanov
2018 J jnl
A review of semantic segmentation using deep neural networks.
Int. J. Multim. Inf. Retr.
Yanming Guo, Yu Liu, Theodoros Georgiou, Michael S. Lew
2018 B conf
An Extensive Study of Cycle-Consistent Generative Networks for Image-to-Image Translation.
ICPR
Yu Liu, Yanming Guo, Wei Chen, Michael S. Lew
2018 J jnl
Bag of Surrogate Parts Feature for Visual Recognition.
IEEE Trans. Multim.
Yanming Guo, Yu Liu, Songyang Lao, Erwin M. Bakker, Liang Bai, Michael S. Lew
2018 J jnl
CNN-RNN: a large-scale hierarchical image classification framework.
Multim. Tools Appl.
Yanming Guo, Yu Liu, Erwin M. Bakker, Yuanhao Guo, Michael S. Lew
2018 J jnl
Fusion that matters: convolutional fusion networks for visual recognition.
Multim. Tools Appl.
Yu Liu, Yanming Guo, Theodoros Georgiou, Michael S. Lew
2018 B conf
Learning Fluid Flows.
IJCNN
Theodoros Georgiou, Sebastian Schmitt, Markus Olhofer, Yu Liu, Thomas Bäck, Michael S. Lew
2018 J jnl
Learning visual and textual representations for multimodal matching and classification.
Pattern Recognit.
Yu Liu, Li Liu, Yanming Guo, Michael S. Lew
2017 B conf
Improving the discrimination between foreground and background for semantic segmentation.
ICIP
Yu Liu, Michael S. Lew
2017 A* conf
Learning a Recurrent Residual Fusion Network for Multimodal Matching.
ICCV
Yu Liu, Yanming Guo, Erwin M. Bakker, Michael S. Lew
2017 — conf
On the Exploration of Convolutional Fusion Networks for Visual Recognition.
MMM (1)
Yu Liu, Yanming Guo, Michael S. Lew
2017 — conf
What Convnets Make for Image Captioning?
MMM (1)
Yu Liu, Yanming Guo, Michael S. Lew
2016 J jnl
Deep learning for visual understanding: A review.
Neurocomputing
Yanming Guo, Yu Liu, Ard Oerlemans, Songyang Lao, Song Wu, Michael S. Lew
2016 J jnl
Hierarchical projective invariant contexts for shape recognition.
Pattern Recognit.
Qi Jia, Xin Fan, Yu Liu, Haojie Li, Zhongxuan Luo, He Guo
2016 A* conf
Learning Relaxed Deep Supervision for Better Edge Detection.
CVPR
Yu Liu, Michael S. Lew
2016 J jnl
On the Exploration of Convolutional Fusion Networks for Visual Recognition.
CoRR
Yu Liu, Yanming Guo, Michael S. Lew
2015 — conf
Convolutional Neural Networks Features: Principal Pyramidal Convolution.
PCM (1)
Yanming Guo, Songyang Lao, Yu Liu, Liang Bai, Shi Liu, Michael S. Lew
2015 B conf
DeepIndex for Accurate and Efficient Image Retrieval.
ICMR
Yu Liu, Yanming Guo, Song Wu, Michael S. Lew
2014 J jnl
A new geometric descriptor for symbols with affine deformations.
Pattern Recognit. Lett.
Qi Jia, Xin Fan, Zhongxuan Luo, Yu Liu, He Guo
2013 B conf
A shape matching framework using metric partition constraint.
ICIP
Yu Liu, Qi Jia, He Guo, Xin Fan