Pengxiang Wu

According to our database, Pengxiang Wu authored at least 40 papers between 2015 and 2024.

Collaborative distances:

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

2024

Multimodality-guided Image Style Transfer using Cross-modal GAN Inversion.

Hanyu Wang, Pengxiang Wu, Kevin Dela Rosa, Chen Wang, Abhinav Shrivastava

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

Learning to Abstain From Uninformative Data.

Yikai Zhang, Songzhu Zheng, Mina Dalirrooyfard, Pengxiang Wu, Anderson Schneider, Anant Raj, Yuriy Nevmyvaka, Chao Chen

CoRR, 2023

FORB: A Flat Object Retrieval Benchmark for Universal Image Embedding.

Pengxiang Wu, Siman Wang, Kevin Dela Rosa, Derek Hao Hu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

NIRVANA: Neural Implicit Representations of Videos with Adaptive Networks and Autoregressive Patch-Wise Modeling.

Shishira R. Maiya, Sharath Girish, Max Ehrlich, Hanyu Wang, Kwot Sin Lee, Patrick Poirson, Pengxiang Wu, Chen Wang, Abhinav Shrivastava

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

2021

Object-Guided Instance Segmentation With Auxiliary Feature Refinement for Biological Images.

Jingru Yi, Pengxiang Wu, Hui Tang, Bo Liu, Qiaoying Huang, Hui Qu, Lianyi Han, Wei Fan, Daniel J. Hoeppner, Dimitris N. Metaxas

IEEE Trans. Medical Imaging, 2021

Dynamic MRI reconstruction with end-to-end motion-guided network.

Qiaoying Huang, Yikun Xian, Dong Yang, Hui Qu, Jingru Yi, Pengxiang Wu, Dimitris N. Metaxas

Medical Image Anal., 2021

Oriented Object Detection in Aerial Images with Box Boundary-Aware Vectors.

Jingru Yi, Pengxiang Wu, Bo Liu, Qiaoying Huang, Hui Qu, Dimitris N. Metaxas

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Learning Distilled Collaboration Graph for Multi-Agent Perception.

Yiming Li, Shunli Ren, Pengxiang Wu, Siheng Chen, Chen Feng, Wenjun Zhang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Learning with Feature-Dependent Label Noise: A Progressive Approach.

Yikai Zhang, Songzhu Zheng, Pengxiang Wu, Mayank Goswami, Chao Chen

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

2020

Weakly Supervised Deep Nuclei Segmentation Using Partial Points Annotation in Histopathology Images.

Hui Qu, Pengxiang Wu, Qiaoying Huang, Jingru Yi, Zhennan Yan, Kang Li, Gregory M. Riedlinger, Subhajyoti De, Shaoting Zhang, Dimitris N. Metaxas

IEEE Trans. Medical Imaging, 2020

Generative Deep Learning Model for a Multi-Level Nano-Optic Broadband Power Splitter.

Yingheng Tang, Keisuke Kojima, Toshiaki Koike-Akino, Ye Wang, Pengxiang Wu, Mohammad H. Tahersima, Devesh K. Jha, Kieran Parsons, Minghao Qi

Proceedings of the Optical Fiber Communications Conference and Exhibition, 2020

A Topological Filter for Learning with Label Noise.

Pengxiang Wu, Songzhu Zheng, Mayank Goswami, Dimitris N. Metaxas, Chao Chen

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

PC-U Net: Learning to Jointly Reconstruct and Segment the Cardiac Walls in 3D from CT Data.

Meng Ye, Qiaoying Huang, Dong Yang, Pengxiang Wu, Jingru Yi, Leon Axel, Dimitris N. Metaxas

Proceedings of the Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges, 2020

Enhanced MRI Reconstruction Network Using Neural Architecture Search.

Qiaoying Huang, Dong Yang, Yikun Xian, Pengxiang Wu, Jingru Yi, Hui Qu, Dimitris N. Metaxas

Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020

Vertebra-Focused Landmark Detection for Scoliosis Assessment.

Jingru Yi, Pengxiang Wu, Qiaoying Huang, Hui Qu, Dimitris N. Metaxas

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Nuclei Segmentation Using Mixed Points and Masks Selected From Uncertainty.

Hui Qu, Jingru Yi, Qiaoying Huang, Pengxiang Wu, Dimitris N. Metaxas

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Error-Bounded Correction of Noisy Labels.

Songzhu Zheng, Pengxiang Wu, Aman Goswami, Mayank Goswami, Dimitris N. Metaxas, Chao Chen

Proceedings of the 37th International Conference on Machine Learning, 2020

Cardiac MR Image Sequence Segmentation with Temporal Motion Encoding.

Pengxiang Wu, Qiaoying Huang, Jingru Yi, Hui Qu, Meng Ye, Leon Axel, Dimitris N. Metaxas

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

MotionNet: Joint Perception and Motion Prediction for Autonomous Driving Based on Bird's Eye View Maps.

Pengxiang Wu, Siheng Chen, Dimitris N. Metaxas

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

Object-Guided Instance Segmentation for Biological Images.

Jingru Yi, Hui Tang, Pengxiang Wu, Bo Liu, Daniel J. Hoeppner, Dimitris N. Metaxas, Lianyi Han, Wei Fan

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Attentive neural cell instance segmentation.

Jingru Yi, Pengxiang Wu, Menglin Jiang, Qiaoying Huang, Daniel J. Hoeppner, Dimitris N. Metaxas

Medical Image Anal., 2019

ASSD: Attentive single shot multibox detector.

Jingru Yi, Pengxiang Wu, Dimitris N. Metaxas

Comput. Vis. Image Underst., 2019

Weakly Supervised Deep Nuclei Segmentation using Points Annotation in Histopathology Images.

Hui Qu, Pengxiang Wu, Qiaoying Huang, Jingru Yi, Gregory M. Riedlinger, Subhajyoti De, Dimitris N. Metaxas

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2019

Dynamic MRI Reconstruction with Motion-Guided Network.

Qiaoying Huang, Dong Yang, Hui Qu, Jingru Yi, Pengxiang Wu, Dimitris N. Metaxas

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2019

Multi-scale Cell Instance Segmentation with Keypoint Graph Based Bounding Boxes.

Jingru Yi, Pengxiang Wu, Qiaoying Huang, Hui Qu, Bo Liu, Daniel J. Hoeppner, Dimitris N. Metaxas

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Context-Refined Neural Cell Instance Segmentation.

Jingru Yi, Pengxiang Wu, Qiaoying Huang, Hui Qu, Daniel J. Hoeppner, Dimitris N. Metaxas

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Deep Attentive Feature Learning for Histopathology Image Classification.

Pengxiang Wu, Hui Qu, Jingru Yi, Qiaoying Huang, Chao Chen, Dimitris N. Metaxas

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Joint Segmentation and Fine-Grained Classification of Nuclei in Histopathology Images.

Hui Qu, Gregory M. Riedlinger, Pengxiang Wu, Qiaoying Huang, Jingru Yi, Subhajyoti De, Dimitris N. Metaxas

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

MRI Reconstruction Via Cascaded Channel-Wise Attention Network.

Qiaoying Huang, Dong Yang, Pengxiang Wu, Hui Qu, Jingru Yi, Dimitris N. Metaxas

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Heuristic Search for Homology Localization Problem and Its Application in Cardiac Trabeculae Reconstruction.

Xudong Zhang, Pengxiang Wu, Changhe Yuan, Yusu Wang, Dimitris N. Metaxas, Chao Chen

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Online Neural Cell Tracking Using Blob-Seed Segmentation and Optical Flow.

Jingru Yi, Pengxiang Wu, Qiaoying Huang, Hui Qu, Daniel J. Hoeppner, Dimitris N. Metaxas

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

Point Cloud Processing via Recurrent Set Encoding.

Pengxiang Wu, Chao Chen, Jingru Yi, Dimitris N. Metaxas

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Pixel-wise neural cell instance segmentation.

Jingru Yi, Pengxiang Wu, Daniel J. Hoeppner, Dimitris N. Metaxas

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Instance Segmentation of Neural Cells.

Jingru Yi, Pengxiang Wu, Menglin Jiang, Daniel J. Hoeppner, Dimitris N. Metaxas

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

2017

Towards large-scale MR thigh image analysis via an integrated quantification framework.

Chaowei Tan, Kang Li, Zhennan Yan, Jingru Yi, Pengxiang Wu, Hui Jing Yu, Klaus Engelke, Dimitris N. Metaxas

Neurocomputing, 2017

Optimal Topological Cycles and Their Application in Cardiac Trabeculae Restoration.

Pengxiang Wu, Chao Chen, Yusu Wang, Shaoting Zhang, Changhe Yuan, Zhen Qian, Dimitris N. Metaxas, Leon Axel

Proceedings of the Information Processing in Medical Imaging, 2017

3D Motion Modeling and Reconstruction of Left Ventricle Wall in Cardiac MRI.

Dong Yang, Pengxiang Wu, Chaowei Tan, Kilian M. Pohl, Leon Axel, Dimitris N. Metaxas

Proceedings of the Functional Imaging and Modelling of the Heart, 2017

Fast Neural Cell Detection Using Light-Weight SSD Neural Network.

Jingru Yi, Pengxiang Wu, Daniel J. Hoeppner, Dimitris N. Metaxas

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

Cardiac Trabeculae Segmentation: an Application of Computational Topology (Multimedia Contribution).

Chao Chen, Dimitris N. Metaxas, Yusu Wang, Pengxiang Wu

Proceedings of the 33rd International Symposium on Computational Geometry, 2017

2015

Active Contour-Based Cell Segmentation During Freezing and Its Application in Cryopreservation.

Pengxiang Wu, Jingru Yi, Gang Zhao, Zhangjin Huang, Bensheng Qiu, Dayong Gao

IEEE Trans. Biomed. Eng., 2015