Songcen Xu

According to our database1, Songcen Xu authored at least 52 papers between 2013 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Online presence:

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Bibliography

2023
Multiple Instance Differentiation Learning for Active Object Detection.
IEEE Trans. Pattern Anal. Mach. Intell., October, 2023

Quality-Aware Network for Human Parsing.
IEEE Trans. Multim., 2023

PanGu-Draw: Advancing Resource-Efficient Text-to-Image Synthesis with Time-Decoupled Training and Reusable Coop-Diffusion.
CoRR, 2023

DreamControl: Control-Based Text-to-3D Generation with 3D Self-Prior.
CoRR, 2023

DreamVideo: High-Fidelity Image-to-Video Generation with Image Retention and Text Guidance.
CoRR, 2023

BIVDiff: A Training-Free Framework for General-Purpose Video Synthesis via Bridging Image and Video Diffusion Models.
CoRR, 2023

Learning Unorthogonalized Matrices for Rotation Estimation.
CoRR, 2023

Fuse Your Latents: Video Editing with Multi-source Latent Diffusion Models.
CoRR, 2023

TextField3D: Towards Enhancing Open-Vocabulary 3D Generation with Noisy Text Fields.
CoRR, 2023

Reuse and Diffuse: Iterative Denoising for Text-to-Video Generation.
CoRR, 2023

Towards High-Fidelity Text-Guided 3D Face Generation and Manipulation Using only Images.
CoRR, 2023

Any-Size-Diffusion: Toward Efficient Text-Driven Synthesis for Any-Size HD Images.
CoRR, 2023

Decorate3D: Text-Driven High-Quality Texture Generation for Mesh Decoration in the Wild.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

UnifiedGesture: A Unified Gesture Synthesis Model for Multiple Skeletons.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

The DiffuseStyleGesture+ entry to the GENEA Challenge 2023.
Proceedings of the 25th International Conference on Multimodal Interaction, 2023

Towards High-Fidelity Text-Guided 3D Face Generation and Manipulation Using only Images.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

HiVLP: Hierarchical Interactive Video-Language Pre-Training.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

PIDRo: Parallel Isomeric Attention with Dynamic Routing for Text-Video Retrieval.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Low-Light Image Enhancement with Illumination-Aware Gamma Correction and Complete Image Modelling Network.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Few-Shot Learning with Visual Distribution Calibration and Cross-Modal Distribution Alignment.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

AttriCLIP: A Non-Incremental Learner for Incremental Knowledge Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Co-speech Gesture Synthesis by Reinforcement Learning with Contrastive Pretrained Rewards.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

CLIPPING: Distilling CLIP-Based Models with a Student Base for Video-Language Retrieval.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Discrepant multiple instance learning for weakly supervised object detection.
Pattern Recognit., 2022

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

PcmNet: Position-sensitive context modeling network for temporal action localization.
Neurocomputing, 2022

CLIFF: Carrying Location Information in Full Frames into Human Pose and Shape Estimation.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
DualPoseNet: Category-level 6D Object Pose and Size Estimation Using Dual Pose Network with Refined Learning of Pose Consistency.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Instance Segmentation in 3D Scenes using Semantic Superpoint Tree Networks.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Multiple Instance Active Learning for Object Detection.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Generating Diverse Structure for Image Inpainting With Hierarchical VQ-VAE.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Agreement-Discrepancy-Selection: Active Learning with Progressive Distribution Alignment.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
DiverseDepth: Affine-invariant Depth Prediction Using Diverse Data.
CoRR, 2020

Renovating Parsing R-CNN for Accurate Multiple Human Parsing.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
Index Network.
CoRR, 2019

Indices Matter: Learning to Index for Deep Image Matting.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018
Distributed low-rank adaptive estimation algorithms based on alternating optimization.
Signal Process., 2018

2016
Distributed Spectrum Estimation Based on Alternating Mixed Discrete-Continuous Adaptation.
IEEE Signal Process. Lett., 2016

Distributed estimation over sensor networks based on distributed conjugate gradient strategies.
IET Signal Process., 2016

Adaptive distributed compressed estimation based on recursive least squares with sensing matrix design.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015
Distributed Compressed Estimation Based on Compressive Sensing.
IEEE Signal Process. Lett., 2015

Adaptive link selection algorithms for distributed estimation.
EURASIP J. Adv. Signal Process., 2015

Dynamic Topology Adaptation Based on Adaptive Link Selection Algorithms for Distributed Estimation.
CoRR, 2015

Distributed Compressed Estimation for Wireless Sensor Networks Based on Compressive Sensing.
CoRR, 2015

Sparsity-aware distributed conjugate gradient algorithms for parameter estimation over sensor networks.
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.
CoRR, 2014

Adaptive Link Selection Strategies for Distributed Estimation in Wireless Sensor Networks.
CoRR, 2014

Dynamic Topology Adaptation and Distributed Estimation for Smart Grids.
CoRR, 2014

Distributed reduced-rank estimation based on joint iterative optimization in sensor networks.
Proceedings of the 22nd European Signal Processing Conference, 2014

2013
Distributed conjugate gradient strategies for parameter estimation over sensor networks.
CoRR, 2013

Adaptive link selection strategies for distributed estimation in diffusion wireless networks.
Proceedings of the IEEE International Conference on Acoustics, 2013

Dynamic topology adaptation for distributed estimation in smart grids.
Proceedings of the 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2013


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