Peidong Liu

According to our database, Peidong Liu authored at least 52 papers between 2012 and 2024.

Collaborative distances:

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

2024

TDLC: Tensor decomposition-based direct learning-compression algorithm for DNN model compression.

Weirong Liu, Peidong Liu, Changhong Shi, Zhiqiang Zhang, Zhijun Li, Chaorong Liu

Concurr. Comput. Pract. Exp., June, 2024

Keypoint-Guided Efficient Pose Estimation and Domain Adaptation for Micro Aerial Vehicles.

Ye Zheng, Canlun Zheng, Jiahao Shen, Peidong Liu, Shiyu Zhao

IEEE Trans. Robotics, 2024

Learning Radiance Fields from a Single Snapshot Compressive Image.

Yunhao Li, Xiang Liu, Xiaodong Wang, Xin Yuan, Peidong Liu

CoRR, 2024

Omni-Scene: Omni-Gaussian Representation for Ego-Centric Sparse-View Scene Reconstruction.

Dongxu Wei, Zhiqi Li, Peidong Liu

CoRR, 2024

MBA-SLAM: Motion Blur Aware Dense Visual SLAM with Radiance Fields Representation.

Peng Wang, Lingzhe Zhao, Yin Zhang, Shiyu Zhao, Peidong Liu

CoRR, 2024

Bridging the Gap between Learning and Inference for Diffusion-Based Molecule Generation.

Peidong Liu, Wenbo Zhang, Xue Zhe, Jiancheng Lv, Xianggen Liu

CoRR, 2024

IncEventGS: Pose-Free Gaussian Splatting from a Single Event Camera.

Jian Huang, Chengrui Dong, Peidong Liu

CoRR, 2024

DreamMesh4D: Video-to-4D Generation with Sparse-Controlled Gaussian-Mesh Hybrid Representation.

Zhiqi Li, Yiming Chen, Peidong Liu

CoRR, 2024

Domain Adaptive Detection of MAVs: A Benchmark and Noise Suppression Network.

Yin Zhang, Jinhong Deng, Peidong Liu, Wen Li, Shiyu Zhao

CoRR, 2024

Controllable Text-to-3D Generation via Surface-Aligned Gaussian Splatting.

Zhiqi Li, Yiming Chen, Lingzhe Zhao, Peidong Liu

CoRR, 2024

DerainNeRF: 3D Scene Estimation with Adhesive Waterdrop Removal.

Yunhao Li, Jing Wu, Lingzhe Zhao, Peidong Liu

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

USB-NeRF: Unrolling Shutter Bundle Adjusted Neural Radiance Fields.

Moyang Li, Peng Wang, Lingzhe Zhao, Bangyan Liao, Peidong Liu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

BAD-Gaussians: Bundle Adjusted Deblur Gaussian Splatting.

Lingzhe Zhao, Peng Wang, Peidong Liu

Proceedings of the Computer Vision - ECCV 2024, 2024

RSL-BA: Rolling Shutter Line Bundle Adjustment.

Yongcong Zhang, Bangyan Liao, Yifei Xue, Chen Lu, Peidong Liu, Yizhen Lao

Proceedings of the Computer Vision - ECCV 2024, 2024

Pose-Guided Fine-Grained Sign Language Video Generation.

Tongkai Shi, Lianyu Hu, Fanhua Shang, Jichao Feng, Peidong Liu, Wei Feng

Proceedings of the Computer Vision - ECCV 2024, 2024

Motion and Structure from Event-Based Normal Flow.

Zhongyang Ren, Bangyan Liao, Delei Kong, Jinghang Li, Peidong Liu, Laurent Kneip, Guillermo Gallego, Yi Zhou

Proceedings of the Computer Vision - ECCV 2024, 2024

GlobalPointer: Large-Scale Plane Adjustment with Bi-Convex Relaxation.

Bangyan Liao, Zhenjun Zhao, Lu Chen, Haoang Li, Daniel Cremers, Peidong Liu

Proceedings of the Computer Vision - ECCV 2024, 2024

BeNeRF: Neural Radiance Fields from a Single Blurry Image and Event Stream.

Wenpu Li, Pian Wan, Peng Wang, Jinghang Li, Yi Zhou, Peidong Liu

Proceedings of the Computer Vision - ECCV 2024, 2024

Event-Aided Time-to-Collision Estimation for Autonomous Driving.

Jinghang Li, Bangyan Liao, Xiuyuan Lu, Peidong Liu, Shaojie Shen, Yi Zhou

Proceedings of the Computer Vision - ECCV 2024, 2024

SCINeRF: Neural Radiance Fields from a Snapshot Compressive Image.

Yunhao Li, Xiaodong Wang, Ping Wang, Xin Yuan, Peidong Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

ET3D: Efficient Text-to-3D Generation via Multi-View Distillation.

Yiming Chen, Zhiqi Li, Peidong Liu

CoRR, 2023

MVControl: Adding Conditional Control to Multi-view Diffusion for Controllable Text-to-3D Generation.

Zhiqi Li, Yiming Chen, Lingzhe Zhao, Peidong Liu

CoRR, 2023

A Survey on Deep Learning for Website Fingerprinting Attacks and Defenses.

Peidong Liu, Longtao He, Zhoujun Li

IEEE Access, 2023

Vector-Quantized Prompt Learning for Paraphrase Generation.

Haotian Luo, Yixin Liu, Peidong Liu, Xianggen Liu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

BAD-NeRF: Bundle Adjusted Deblur Neural Radiance Fields.

Peng Wang, Lingzhe Zhao, Ruijie Ma, Peidong Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Spatial-Temporal Consistency Constraints for Chinese Sign Language Synthesis.

Liqing Gao, Peidong Liu, Liang Wan, Wei Feng

Proceedings of the Computer-Aided Design and Computer Graphics, 2023

2022

Robust Localization of Occluded Targets in Aerial Manipulation Via Range-Only Mapping.

Xiaoyu Zhang, Yin Zhang, Peidong Liu, Shiyu Zhao

IEEE Robotics Autom. Lett., 2022

BALF: Simple and Efficient Blur Aware Local Feature Detector.

Zhenjun Zhao, Yu Zhai, Ben M. Chen, Peidong Liu

CoRR, 2022

Multi-task Ranking with User Behaviors for Text-video Search.

Peidong Liu, Dongliang Liao, Jinpeng Wang, Yangxin Wu, Gongfu Li, Shu-Tao Xia, Jin Xu

Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

NeXT: Towards High Quality Neural Radiance Fields via Multi-skip Transformer.

Yunxiao Wang, Yanjie Li, Peidong Liu, Tao Dai, Shu-Tao Xia

Proceedings of the Computer Vision - ECCV 2022, 2022

SimCC: A Simple Coordinate Classification Perspective for Human Pose Estimation.

Yanjie Li, Sen Yang, Peidong Liu, Shoukui Zhang, Yunxiao Wang, Zhicheng Wang, Wankou Yang, Shu-Tao Xia

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Robust Visual Odometry.

Peidong Liu

PhD thesis, 2021

WeClick: Weakly-Supervised Video Semantic Segmentation with Click Annotations.

Peidong Liu, Zibin He, Xiyu Yan, Yong Jiang, Shu-Tao Xia, Feng Zheng, Maowei Hu

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Loss Function Discovery for Object Detection via Convergence-Simulation Driven Search.

Peidong Liu, Gengwei Zhang, Bochao Wang, Hang Xu, Xiaodan Liang, Yong Jiang, Zhenguo Li

Proceedings of the 9th International Conference on Learning Representations, 2021

MBA-VO: Motion Blur Aware Visual Odometry.

Peidong Liu, Xingxing Zuo, Viktor Larsson, Marc Pollefeys

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

Visual Privacy Protection via Mapping Distortion.

Yiming Li, Peidong Liu, Yong Jiang, Shu-Tao Xia

Proceedings of the IEEE International Conference on Acoustics, 2021

Significance on Background Radiation of Wide-Field-Of-View Staring Remote Sensing System on Geosynchronous Orbit Satellite.

Hui Ye, Faquan Li, Kaijun Ji, Rui Zheng, Wencai Cai, Peidong Liu, Yang Liu, Yang Chen

Proceedings of the 9th International Conference on Agro-Geoinformatics, 2021

2020

Self-Supervised Linear Motion Deblurring.

Peidong Liu, Joel Janai, Marc Pollefeys, Torsten Sattler, Andreas Geiger

IEEE Robotics Autom. Lett., 2020

Deep Flow Collaborative Network for Online Visual Tracking.

Peidong Liu, Xiyu Yan, Yong Jiang, Shu-Tao Xia

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Deep Shutter Unrolling Network.

Peidong Liu, Zhaopeng Cui, Viktor Larsson, Marc Pollefeys

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Project AutoVision: Localization and 3D Scene Perception for an Autonomous Vehicle with a Multi-Camera System.

Lionel Heng, Benjamin Choi, Zhaopeng Cui, Marcel Geppert, Sixing Hu, Benson Kuan, Peidong Liu, Rang M. H. Nguyen, Ye Chuan Yeo, Andreas Geiger, Gim Hee Lee, Marc Pollefeys, Torsten Sattler

Proceedings of the International Conference on Robotics and Automation, 2019

Efficient 2D-3D Matching for Multi-Camera Visual Localization.

Marcel Geppert, Peidong Liu, Zhaopeng Cui, Marc Pollefeys, Torsten Sattler

Proceedings of the International Conference on Robotics and Automation, 2019

2018

LDA Meets Word2Vec: A Novel Model for Academic Abstract Clustering.

Changzhou Li, Yao Lu, Junfeng Wu, Yongrui Zhang, Zhongzhou Xia, Tianchen Wang, Dantian Yu, Xurui Chen, Peidong Liu, Junyu Guo

Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

Towards Robust Visual Odometry with a Multi-Camera System.

Peidong Liu, Marcel Geppert, Lionel Heng, Torsten Sattler, Andreas Geiger, Marc Pollefeys

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Robust Dense Mapping for Large-Scale Dynamic Environments.

Ioan Andrei Barsan, Peidong Liu, Marc Pollefeys, Andreas Geiger

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

2017

Direct visual odometry for a fisheye-stereo camera.

Peidong Liu, Lionel Heng, Torsten Sattler, Andreas Geiger, Marc Pollefeys

Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

2016

Search and Rescue Using Multiple Drones in Post-Disaster Situation.

Jinqiang Cui, Swee King Phang, Kevin Z. Y. Ang, Fei Wang, Xiangxu Dong, Yijie Ke, Shupeng Lai, Kun Li, Xiang Li, Jing Lin, Peidong Liu, Tao Pang, Kangli Wang, Zhaolin Yang, Feng Lin, Ben M. Chen

Unmanned Syst., 2016

2015

Development of an Unmanned Helicopter for Vertical Replenishment.

Fei Wang, Peidong Liu, Shiyu Zhao, Ben M. Chen, Swee King Phang, Shupeng Lai, Tao Pang, Biao Wang, Chenxiao Cai, Tong Heng Lee

Unmanned Syst., 2015

A Robust Real-Time Vision System for Autonomous Cargo Transfer by an Unmanned Helicopter.

Shiyu Zhao, Zhangyuan Hu, Mingfeng Yin, Kevin Z. Y. Ang, Peidong Liu, Fei Wang, Xiangxu Dong, Feng Lin, Ben M. Chen, Tong Heng Lee

IEEE Trans. Ind. Electron., 2015

Drones for cooperative search and rescue in post-disaster situation.

Jinqiang Cui, Swee King Phang, Kevin Z. Y. Ang, Fei Wang, Xiangxu Dong, Yijie Ke, Shupeng Lai, Kun Li, Xiang Li, Feng Lin, Jing Lin, Peidong Liu, Tao Pang, Biao Wang, Kangli Wang, Zhaolin Yang, Ben M. Chen

Proceedings of the 7th International Conference on Cybernetics and Intelligent Systems, 2015

2012

Extreme learning machine for wireless indoor localization.

Wendong Xiao, Peidong Liu, Wee-Seng Soh, Yunye Jin

Proceedings of the 11th International Conference on Information Processing in Sensor Networks (co-located with CPS Week 2012), 2012

Large scale wireless indoor localization by clustering and Extreme Learning Machine.

Wendong Xiao, Peidong Liu, Wee-Seng Soh, Guang-Bin Huang

Proceedings of the 15th International Conference on Information Fusion, 2012