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Rujie Liu
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2020 – today
- 2024
- [j9]Mengjiao Wang
, Rujie Liu, Septiana Lina, Narishige Abe, Shigefumi Yamada:
An Effective Method for Semi-Online Multi-Object Tracking Refinement. IEEE Access 12: 60656-60667 (2024) - [c54]Ziqiang Shi, Rujie Liu:
Noisy Image Restoration Based on Conditional Acceleration Score Approximation. ICASSP 2024: 4000-4004 - [c53]Ziqiang Shi, Rujie Liu:
Langwave: Realistic Voice Generation Based on High-Order Langevin Dynamics. ICASSP 2024: 10661-10665 - [c52]Meng Zhang, Rujie Liu, Narishige Abe:
Face Helps Person Re-Identification: Multi-modality Person Re-Identification Based on Vision-Language Models. IJCB 2024: 1-10 - [c51]Ziqiang Shi, Rujie Liu:
Multimedia Generative Modelling with High-Order Langevin Dynamics. ICME 2024: 1-6 - [c50]Song Guo, Rujie Liu, Narishige Abe:
RTAT: A Robust Two-Stage Association Tracker for Multi-object Tracking. ICPR (16) 2024: 432-447 - [c49]Ziqiang Shi, Rujie Liu:
Conditional Velocity Score Estimation for Image Restoration. WACV 2024: 178-187 - [i18]Ziqiang Shi, Rujie Liu:
Generative Modelling with High-Order Langevin Dynamics. CoRR abs/2404.12814 (2024) - [i17]Song Guo, Rujie Liu, Narishige Abe:
RTAT: A Robust Two-stage Association Tracker for Multi-Object Tracking. CoRR abs/2408.07344 (2024) - 2023
- [j8]Yang Zhao
Effective Fusion Method on Silhouette and Pose for Gait Recognition. IEEE Access 11: 102623-102634 (2023) - [c48]Ziqiang Shi, Zhongling Liu, Liu Liu, Rujie Liu, Takuma Yamamoto, Xiaoyu Mi, Daisuke Uchida:
CheckSORT: Refined Synthetic Data Combination and Optimized SORT for Automatic Retail Checkout. CVPR Workshops 2023: 5391-5398 - [c47]Zhongling Liu, Rujie Liu, Ziqiang Shi, Liu Liu, Xiaoyu Mi, Kentaro Murase:
Semi-Supervised Contrastive Learning with Soft Mask Attention for Facial Action Unit Detection. ICASSP 2023: 1-5 - [c46]Zihao Guo
Body Part Information Additional in Multi-decoder Transformer-Based Network for Human Object Interaction Detection. VISIGRAPP (5: VISAPP) 2023: 221-229 - 2022
- [j7]Meng Zhang
Masked Face Recognition With Mask Transfer and Self-Attention Under the COVID-19 Pandemic. IEEE Access 10: 20527-20538 (2022) - [j6]Meng Zhang
Context-Aware Contribution Estimation for Feature Aggregation in Video Face Recognition. IEEE Access 10: 79301-79310 (2022) - [j5]Song Guo
Exploiting the Tail Data for Long-Tailed Face Recognition. IEEE Access 10: 97945-97953 (2022) - [c45]Jiaqi Ning, Fei Li, Rujie Liu, Shun Takeuchi, Genta Suzuki:
Temporal Extension Topology Learning for Video-Based Person Re-identification. ACCV (Workshops) 2022: 213-225 - [c44]Mengjiao Wang, Rujie Liu, Narishige Abe, Tomoaki Matsunami, Hidetsugu Uchida, Septiana Lina:
Sample-Level and Class-Level Adaptive Training for Face Recognition. ICME 2022: 1-6 - 2020
- [c43]Ziqiang Shi, Liu Liu, Rujie Liu:
Hodge and Podge: Hybrid Supervised Sound Event Detection with Multi-Hot MixMatch and Composition Consistence Training. EUSIPCO 2020: 1-5 - [c42]Ziqiang Shi, Rujie Liu, Jiqing Han:
Speech Separation Based on Multi-Stage Elaborated Dual-Path Deep BiLSTM with Auxiliary Identity Loss. INTERSPEECH 2020: 2682-2686 - [i16]Ziqiang Shi, Rujie Liu, Jiqing Han:
La Furca: Iterative Context-Aware End-to-End Monaural Speech Separation Based on Dual-Path Deep Parallel Inter-Intra Bi-LSTM with Attention. CoRR abs/2001.08998 (2020) - [i15]Ziqiang Shi, Liu Liu, Huibin Lin, Rujie Liu:
Hodge and Podge: Hybrid Supervised Sound Event Detection with Multi-Hot MixMatch and Composition Consistence Training. CoRR abs/2002.06021 (2020) - [i14]Ziqiang Shi, Rujie Liu, Jiqing Han:
Speech Separation Based on Multi-Stage Elaborated Dual-Path Deep BiLSTM with Auxiliary Identity Loss. CoRR abs/2008.03149 (2020) - [i13]Ziqiang Shi, Liu Liu, Rujie Liu, Xiaoyu Mi, Kentaro Murase:
LoRRaL: Facial Action Unit Detection Based on Local Region Relation Learning. CoRR abs/2009.10892 (2020)
2010 – 2019
- 2019
- [c41]Meng Zhang, Rujie Liu, Hajime Nada, Hidetsugu Uchida, Tomoaki Matsunami, Narishige Abe:
A pairwise learning strategy for video-based face recognition. CVPR Workshops 2019 - [c40]Ziqiang Shi, Liu Liu, Huibin Lin, Rujie Liu, Anyan Shi:
HODGEPODGE: Sound Event Detection Based on Ensemble of Semi-Supervised Learning Methods. DCASE 2019: 224-228 - [c39]Ziqiang Shi, Huibin Lin, Liu Liu, Rujie Liu, Shoji Hayakawa, Jiqing Han:
Furcax: End-to-end Monaural Speech Separation Based on Deep Gated (De)convolutional Neural Networks with Adversarial Example Training. ICASSP 2019: 6985-6989 - [c38]Wei Shen, Fei Li, Rujie Liu:
Learning to Find Correlated Features by Maximizing Information Flow in Convolutional Neural Networks. ICCV Workshops 2019: 733-737 - [c37]Mengjiao Wang, Rujie Liu, Hajime Nada, Narishige Abe, Hidetsugu Uchida, Tomoaki Matsunami:
Improved Knowledge Distillation for Training Fast Low Resolution Face Recognition Model. ICCV Workshops 2019: 2655-2661 - [c36]Ziqiang Shi, Huibin Lin, Liu Liu, Rujie Liu, Jiqing Han, Anyan Shi:
Deep Attention Gated Dilated Temporal Convolutional Networks with Intra-Parallel Convolutional Modules for End-to-End Monaural Speech Separation. INTERSPEECH 2019: 3183-3187 - [c35]Ziqiang Shi, Huibin Lin, Liu Liu, Rujie Liu, Shoji Hayakawa, Shouji Harada, Jiqing Han:
End-to-End Monaural Speech Separation with Multi-Scale Dynamic Weighted Gated Dilated Convolutional Pyramid Network. INTERSPEECH 2019: 4614-4618 - [i12]Ziqiang Shi, Huibin Lin, Liu Liu, Rujie Liu, Jiqing Han:
Is CQT more suitable for monaural speech separation than STFT? an empirical study. CoRR abs/1902.00631 (2019) - [i11]Ziqiang Shi, Huibin Lin, Liu Liu, Rujie Liu, Jiqing Han:
FurcaNet: An end-to-end deep gated convolutional, long short-term memory, deep neural networks for single channel speech separation. CoRR abs/1902.00651 (2019) - [i10]Ziqiang Shi, Huibin Lin, Liu Liu, Rujie Liu, Jiqing Han:
FurcaNeXt: End-to-end monaural speech separation with dynamic gated dilated temporal convolutional networks. CoRR abs/1902.04891 (2019) - [i9]Wei Shen, Fei Li, Rujie Liu:
Learning to Find Correlated Features by Maximizing Information Flow in Convolutional Neural Networks. CoRR abs/1907.00348 (2019) - [i8]Ziqiang Shi, Liu Liu, Huibin Lin, Rujie Liu, Anyan Shi:
HODGEPODGE: Sound event detection based on ensemble of semi-supervised learning methods. CoRR abs/1907.07398 (2019) - 2018
- [c34]Mengjiao Wang, Rujie Liu, Narishige Abe, Hidetsugu Uchida, Tomoaki Matsunami, Shigefumi Yamada:
Discover the Effective Strategy for Face Recognition Model Compression by Improved Knowledge Distillation. ICIP 2018: 2416-2420 - [c33]Ziqiang Shi, Huibin Lin, Liu Liu, Rujie Liu:
Double Joint Bayesian Modeling of DNN Local I-Vector for Text Dependent Speaker Verification with Random Digit Strings. INTERSPEECH 2018: 67-71 - [c32]Ziqiang Shi, Liu Liu, Huibin Lin, Rujie Liu:
Joint Learning of J-Vector Extractor and Joint Bayesian Model for Text Dependent Speaker Verification. INTERSPEECH 2018: 1076-1080 - [c31]Ziqiang Shi, Huibin Lin, Liu Liu, Rujie Liu:
Latent Factor Analysis of Deep Bottleneck Features for Speaker Verification with Random Digit Strings. INTERSPEECH 2018: 1081-1085 - [c30]Mengjiao Wang, Rujie Liu:
A Similarity Measurement Method for Diffuse Lung Disease CT Slice Image Retrieval. Image Processing: Algorithms and Systems 2018 - [c29]Ziqiang Shi, Mengjiao Wang, Liu Liu, Huibin Lin, Rujie Liu:
A Double Joint Bayesian Approach for J-Vector Based Text-dependent Speaker Verification. Odyssey 2018: 365-371 - [i7]Wei Shen, Rujie Liu:
Generating Attention from Classifier Activations for Fine-grained Recognition. CoRR abs/1811.10770 (2018) - [i6]Wei Shen, Rujie Liu:
Tackling Early Sparse Gradients in Softmax Activation Using Leaky Squared Euclidean Distance. CoRR abs/1811.10779 (2018) - [i5]Wei Shen, Rujie Liu:
Learning to generate filters for convolutional neural networks. CoRR abs/1812.01894 (2018) - 2017
- [c28]Ziqiang Shi, Liu Liu, Mengjiao Wang, Rujie Liu:
Multi-view (Joint) probability linear discrimination analysis for J-vector based text dependent speaker verification. ASRU 2017: 614-620 - [c27]Wei Shen, Rujie Liu:
Learning Residual Images for Face Attribute Manipulation. CVPR 2017: 1225-1233 - [c26]Fei Li, Yunfan Du, Hu Tian, Rujie Liu:
Color Mapping for 3D Geometric Models without Reference Image Locations. DICTA 2017: 1-6 - [c25]Ziqiang Shi, Rujie Liu:
Better Worst-Case Complexity Analysis of the Block Coordinate Descent Method for Large Scale Machine Learning. ICMLA 2017: 889-892 - [c24]Fei Li, Yunfan Du, Rujie Liu:
Color-Introduced Frame-to-Model Registration for 3D Reconstruction. MMM (2) 2017: 112-123 - [i4]Ziqiang Shi, Liu Liu, Rujie Liu:
Multi-view Probability Linear Discrimination Analysis for Multi-view Vector Based Text Dependent Speaker Verification. CoRR abs/1704.06061 (2017) - [i3]Ziqiang Shi, Mengjiao Wang, Liu Liu, Huibin Lin, Rujie Liu:
A Double Joint Bayesian Approach for J-Vector Based Text-dependent Speaker Verification. CoRR abs/1711.06434 (2017) - 2016
- [c23]Fei Li, Yunfan Du, Rujie Liu:
Truncated Signed Distance Function Volume Integration Based on Voxel-Level Optimization for 3D Reconstruction. 3D Image Processing, Measurement (3DIPM), and Applications 2016: 1-6 - [i2]Ziqiang Shi, Rujie Liu:
Empirical study of PROXTONE and PROXTONE$^+$ for Fast Learning of Large Scale Sparse Models. CoRR abs/1604.05024 (2016) - [i1]Wei Shen, Rujie Liu:
Learning Residual Images for Face Attribute Manipulation. CoRR abs/1612.05363 (2016) - 2015
- [c22]Fei Li, Rujie Liu:
Multi-graph multi-instance learning with soft label consistency for object-based image retrieval. ICME 2015: 1-6 - [c21]Ziqiang Shi, Rujie Liu:
Online and Stochastic Universal Gradient Methods for Minimizing Regularized Hölder Continuous Finite Sums in Machine Learning. PAKDD (1) 2015: 369-379 - [c20]Ziqiang Shi, Rujie Liu:
Large Scale Optimization with Proximal Stochastic Newton-Type Gradient Descent. ECML/PKDD (1) 2015: 691-704 - [c19]Yunfan Du, Fei Li, Rujie Liu:
Fast Interactive Image Segmentation Using Bipartite Graph Based Random Walk with Restart. PSIVT 2015: 344-354 - 2013
- [c18]Xi Liu, Rujie Liu, Qiong Cao, Fei Li:
Multi-feature Late Fusion for Image Tagging. ACPR 2013: 34-37 - [c17]Qiong Cao, Rujie Liu, Fei Li, Xi Liu:
Region-Based Near-Duplicate Image Retrieval with Geometric Consistency. ACPR 2013: 315-318 - [c16]Fei Li, Rujie Liu, Takayuki Baba:
Multi-SVM Multi-instance Learning for Object-Based Image Retrieval. CAIP (1) 2013: 37-44 - [c15]Zhengxiang Wang, Rujie Liu:
Semi-supervised Learning for Large Scale Image Cosegmentation. ICCV 2013: 393-400 - [c14]Xi Liu, Rujie Liu, Qiong Cao, Fei Li:
Geo-referenced Tourist Attraction Photo Tagging by Mining Community Photo Collections. PCM 2013: 257-268 - 2012
- [c13]Yuehong Wang, Rujie Liu, Fei Li, Susumu Endo, Takayuki Baba, Yusuke Uehara:
An effective hole detection method for 3D models. EUSIPCO 2012: 1940-1944 - [c12]Xi Liu, Rujie Liu, Fei Li, Qiong Cao:
Graph-based dimensionality reduction for KNN-based image annotation. ICPR 2012: 1253-1256 - [c11]Rujie Liu, Yuehong Wang, Hao Yu, Satoshi Naoi:
A renewed image annotation baseline by image embedding and tag correlation. ICPR 2012: 3216-3219 - [c10]Fei Li, Rujie Liu:
Multi-graph multi-instance learning for object-based image and video retrieval. ICMR 2012: 35 - 2011
- [c9]Fei Li, Rujie Liu:
Graph-based multiple-instance learning with instance weighting for image retrieval. ICIP 2011: 2453-2456 - 2010
- [j4]Rujie Liu, Yuehong Wang, Takayuki Baba, Daiki Masumoto:
Shape detection from line drawings with local neighborhood structure. Pattern Recognit. 43(5): 1907-1916 (2010) - [c8]Qiong Cao, Rujie Liu, Fei Li, Yuehong Wang:
An automatic vehicle detection method based on traffic videos. ICIP 2010: 4649-4652
2000 – 2009
- 2009
- [c7]Rujie Liu, Yuehong Wang, Takayuki Baba, Daiki Masumoto:
Shape Detection from Line Drawings by Hierarchical Matching. CAIP 2009: 922-929 - 2008
- [j3]Rujie Liu, Yuehong Wang, Takayuki Baba, Daiki Masumoto, Shigemi Nagata:
SVM-based active feedback in image retrieval using clustering and unlabeled data. Pattern Recognit. 41(8): 2645-2655 (2008) - [c6]Rujie Liu, Yuehong Wang, Takayuki Baba, Daiki Masumoto:
Semi-supervised learning by locally linear embedding in kernel space. ICPR 2008: 1-4 - [c5]Yuehong Wang, Rujie Liu, Takayuki Baba, Yusuke Uehara, Daiki Masumoto, Shigemi Nagata:
An Images-Based 3D Model Retrieval Approach. MMM 2008: 90-100 - 2007
- [c4]Rujie Liu, Yuehong Wang, Takayuki Baba, Yusuke Uehara, Daiki Masumoto, Shigemi Nagata:
SVM-Based Active Feedback in Image Retrieval Using Clustering and Unlabeled Data. CAIP 2007: 954-961 - [c3]Rujie Liu, Takayuki Baba, Yusuke Uehara, Daiki Masumoto, Shigemi Nagata:
Device parts retrieval from assembly drawings with SVM based active relevance feedback. CIVR 2007: 379-386 - 2005
- [c2]Takayuki Baba, Rujie Liu, Susumu Endo, Shuichi Shiitani, Yusuke Uehara, Daiki Masumoto, Shigemi Nagata:
Similarity-based Partial Image Retrieval System for Engineering Drawings. ISM 2005: 303-310 - 2004
- [c1]Rujie Liu, Takayuki Baba, Daiki Masumoto:
Attributed Graph Matching Based Engineering Drawings Retrieval. Document Analysis Systems 2004: 378-388 - 2001
- [j2]Rujie Liu, Baozong Yuan:
Automatic Eye Feature Extraction in Human Face Images. Comput. Artif. Intell. 20(3): 289-301 (2001) - [j1]Rujie Liu, Baozong Yuan:
Multiple classifiers combination by clustering and selection. Inf. Fusion 2(3): 163-168 (2001)
Coauthor Index
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last updated on 2024-12-13 20:08 CET by the dblp team
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