Songcen Xu

According to our database, Songcen Xu authored at least 30 papers between 2013 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Discrepant multiple instance learning for weakly supervised object detection.

Wei Gao, Fang Wan, Jun Yue, Songcen Xu, Qixiang Ye

Pattern Recognit., 2022

Index Networks.

Hao Lu, Yutong Dai, Chunhua Shen, Songcen Xu

IEEE Trans. Pattern Anal. Mach. Intell., 2022

PcmNet: Position-sensitive context modeling network for temporal action localization.

Xin Qin, Hanbin Zhao, Guangchen Lin, Hao Zeng, Songcen Xu, Xi Li

Neurocomputing, 2022

CLIFF: Carrying Location Information in Full Frames into Human Pose and Shape Estimation.

Zhihao Li, Jianzhuang Liu, Zhensong Zhang, Songcen Xu, Youliang Yan

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Quality-Aware Network for Human Parsing.

Lu Yang, Qing Song, Zhihui Wang, Zhiwei Liu, Songcen Xu, Zhihao Li

CoRR, 2021

DualPoseNet: Category-level 6D Object Pose and Size Estimation Using Dual Pose Network with Refined Learning of Pose Consistency.

Jiehong Lin, Zewei Wei, Zhihao Li, Songcen Xu, Kui Jia, Yuanqing Li

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Instance Segmentation in 3D Scenes using Semantic Superpoint Tree Networks.

Zhihao Liang, Zhihao Li, Songcen Xu, Mingkui Tan, Kui Jia

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Multiple Instance Active Learning for Object Detection.

Tianning Yuan, Fang Wan, Mengying Fu, Jianzhuang Liu, Songcen Xu, Xiangyang Ji, Qixiang Ye

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Generating Diverse Structure for Image Inpainting With Hierarchical VQ-VAE.

Jialun Peng, Dong Liu, Songcen Xu, Houqiang Li

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Agreement-Discrepancy-Selection: Active Learning with Progressive Distribution Alignment.

Mengying Fu, Tianning Yuan, Fang Wan, Songcen Xu, Qixiang Ye

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

DiverseDepth: Affine-invariant Depth Prediction Using Diverse Data.

Wei Yin, Xinlong Wang, Chunhua Shen, Yifan Liu, Zhi Tian, Songcen Xu, Changming Sun, Dou Renyin

CoRR, 2020

Renovating Parsing R-CNN for Accurate Multiple Human Parsing.

Lu Yang, Qing Song, Zhihui Wang, Mengjie Hu, Chun Liu, Xueshi Xin, Wenhe Jia, Songcen Xu

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Index Network.

Hao Lu, Yutong Dai, Chunhua Shen, Songcen Xu

CoRR, 2019

Indices Matter: Learning to Index for Deep Image Matting.

Hao Lu, Yutong Dai, Chunhua Shen, Songcen Xu

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

Distributed low-rank adaptive estimation algorithms based on alternating optimization.

Songcen Xu, Rodrigo C. de Lamare, H. Vincent Poor

Signal Process., 2018

2016

Distributed Spectrum Estimation Based on Alternating Mixed Discrete-Continuous Adaptation.

Tamara Guerra Miller, Songcen Xu, Rodrigo C. de Lamare, H. Vincent Poor

IEEE Signal Process. Lett., 2016

Distributed estimation over sensor networks based on distributed conjugate gradient strategies.

Songcen Xu, Rodrigo C. de Lamare, H. Vincent Poor

IET Signal Process., 2016

Adaptive distributed compressed estimation based on recursive least squares with sensing matrix design.

Huang Bai, Songcen Xu, Sheng Li, Rodrigo C. de Lamare, Xiongxiong He, H. Vincent Poor

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015

Distributed Compressed Estimation Based on Compressive Sensing.

Songcen Xu, Rodrigo C. de Lamare, H. Vincent Poor

IEEE Signal Process. Lett., 2015

Adaptive link selection algorithms for distributed estimation.

Songcen Xu, Rodrigo C. de Lamare, H. Vincent Poor

EURASIP J. Adv. Signal Process., 2015

Dynamic Topology Adaptation Based on Adaptive Link Selection Algorithms for Distributed Estimation.

Songcen Xu, Rodrigo C. de Lamare, H. Vincent Poor

CoRR, 2015

Distributed Compressed Estimation for Wireless Sensor Networks Based on Compressive Sensing.

Songcen Xu, Rodrigo C. de Lamare, H. Vincent Poor

CoRR, 2015

Sparsity-aware distributed conjugate gradient algorithms for parameter estimation over sensor networks.

Tamara Guerra Miller, Songcen Xu, Rodrigo C. de Lamare, Vítor H. Nascimento, Yuriy V. Zakharov

Proceedings of the 49th Asilomar Conference on Signals, Systems and Computers, 2015

2014

Distributed Low-Rank Estimation Based on Joint Iterative Optimization in Wireless Sensor Networks.

Songcen Xu, Rodrigo C. de Lamare, H. Vincent Poor

CoRR, 2014

Adaptive Link Selection Strategies for Distributed Estimation in Wireless Sensor Networks.

Songcen Xu, Rodrigo C. de Lamare, H. Vincent Poor

CoRR, 2014

Dynamic Topology Adaptation and Distributed Estimation for Smart Grids.

Songcen Xu, Rodrigo Caiado de Lamare, Harold Vincent Poor

CoRR, 2014

Distributed reduced-rank estimation based on joint iterative optimization in sensor networks.

Songcen Xu, Rodrigo C. de Lamare, H. Vincent Poor

Proceedings of the 22nd European Signal Processing Conference, 2014

2013

Distributed conjugate gradient strategies for parameter estimation over sensor networks.

Songcen Xu, Rodrigo C. de Lamare

CoRR, 2013

Adaptive link selection strategies for distributed estimation in diffusion wireless networks.

Songcen Xu, Rodrigo C. de Lamare, H. Vincent Poor

Proceedings of the IEEE International Conference on Acoustics, 2013

Dynamic topology adaptation for distributed estimation in smart grids.

Songcen Xu, Rodrigo C. de Lamare, H. Vincent Poor

Proceedings of the 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2013