Ning Xu

According to our database, Ning Xu authored at least 45 papers between 2011 and 2024.

Collaborative distances:

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

2024

Latent-Guided Exemplar-Based Image Re-Colorization.

Wenjie Yang, Ning Xu, Yifei Fan

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

2023

Semantic Layout Manipulation With High-Resolution Sparse Attention.

Haitian Zheng, Zhe Lin, Jingwan Lu, Scott Cohen, Jianming Zhang, Ning Xu, Jiebo Luo

IEEE Trans. Pattern Anal. Mach. Intell., March, 2023

2022

Space-Time Memory Networks for Video Object Segmentation With User Guidance.

Seoung Wug Oh, Joon-Young Lee, Ning Xu, Seon Joo Kim

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

Exploring the Semi-Supervised Video Object Segmentation Problem from a Cyclic Perspective.

Yuxi Li, Ning Xu, Wenjie Yang, John See, Weiyao Lin

Int. J. Comput. Vis., 2022

CM-GAN: Image Inpainting with Cascaded Modulation GAN and Object-Aware Training.

Haitian Zheng, Zhe Lin, Jingwan Lu, Scott Cohen, Eli Shechtman, Connelly Barnes, Jianming Zhang, Ning Xu, Sohrab Amirghodsi, Jiebo Luo

CoRR, 2022

Image Inpainting with Cascaded Modulation GAN and Object-Aware Training.

Haitian Zheng, Zhe Lin, Jingwan Lu, Scott Cohen, Eli Shechtman, Connelly Barnes, Jianming Zhang, Ning Xu, Sohrab Amirghodsi, Jiebo Luo

Proceedings of the Computer Vision - ECCV 2022, 2022

SpaceEdit: Learning a Unified Editing Space for Open-Domain Image Color Editing.

Jing Shi, Ning Xu, Haitian Zheng, Alex Smith, Jiebo Luo, Chenliang Xu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Transfer Learning and Prediction Consistency for Detecting Offensive Spans of Text.

Amir Pouran Ben Veyseh, Ning Xu, Quan Hung Tran, Varun Manjunatha, Franck Dernoncourt, Thien Huu Nguyen

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021

SpaceEdit: Learning a Unified Editing Space for Open-Domain Image Editing.

Jing Shi, Ning Xu, Haitian Zheng, Alex Smith, Jiebo Luo, Chenliang Xu

CoRR, 2021

End-to-End Video Instance Segmentation via Spatial-Temporal Graph Neural Networks.

Tao Wang, Ning Xu, Kean Chen, Weiyao Lin

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

Language-Guided Global Image Editing via Cross-Modal Cyclic Mechanism.

Wentao Jiang, Ning Xu, Jiayun Wang, Chen Gao, Jing Shi, Zhe Lin, Si Liu

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

A Simple Baseline for Weakly-Supervised Scene Graph Generation.

Jing Shi, Yiwu Zhong, Ning Xu, Yin Li, Chenliang Xu

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

Mask Guided Matting via Progressive Refinement Network.

Qihang Yu, Jianming Zhang, He Zhang, Yilin Wang, Zhe Lin, Ning Xu, Yutong Bai, Alan L. Yuille

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

Learning by Planning: Language-Guided Global Image Editing.

Jing Shi, Ning Xu, Yihang Xu, Trung Bui, Franck Dernoncourt, Chenliang Xu

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

2020

Human in Events: A Large-Scale Benchmark for Human-centric Video Analysis in Complex Events.

Weiyao Lin, Huabin Liu, Shizhan Liu, Yuxi Li, Guo-Jun Qi, Rui Qian, Tao Wang, Nicu Sebe, Ning Xu, Hongkai Xiong, Mubarak Shah

CoRR, 2020

Getting to 99% Accuracy in Interactive Segmentation.

Marco Forte, Brian L. Price, Scott Cohen, Ning Xu, François Pitié

CoRR, 2020

Delving into the Cyclic Mechanism in Semi-supervised Video Object Segmentation.

Yuxi Li, Ning Xu, Jinlong Peng, John See, Weiyao Lin

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

Interactive Training And Architecture For Deep Object Selection.

Marco Forte, Brian L. Price, Scott Cohen, Ning Xu, François Pitié

Proceedings of the IEEE International Conference on Multimedia and Expo, 2020

Multiple Sound Sources Localization from Coarse to Fine.

Rui Qian, Di Hu, Heinrich Dinkel, Mengyue Wu, Ning Xu, Weiyao Lin

Proceedings of the Computer Vision - ECCV 2020, 2020

CFAD: Coarse-to-Fine Action Detector for Spatiotemporal Action Localization.

Yuxi Li, Weiyao Lin, John See, Ning Xu, Shugong Xu, Yan Ke, Cong Yang

Proceedings of the Computer Vision - ECCV 2020, 2020

Disentangled Image Generation for Unsupervised Domain Adaptation.

Safa Cicek, Ning Xu, Zhaowen Wang, Hailin Jin, Stefano Soatto

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

Incorporating Reinforced Adversarial Learning in Autoregressive Image Generation.

Kenan E. Ak, Ning Xu, Zhe Lin, Yilin Wang

Proceedings of the Computer Vision - ECCV 2020, 2020

M2KD: Incremental Learning via Multi-model and Multi-level Knowledge Distillation.

Peng Zhou, Long Mai, Jianming Zhang, Ning Xu, Zuxuan Wu, Larry Davis

Proceedings of the 31st British Machine Vision Conference 2020, 2020

Spatial Class Distribution Shift in Unsupervised Domain Adaptation: Local Alignment Comes to Rescue.

Safa Cicek, Ning Xu, Zhaowen Wang, Hailin Jin, Stefano Soatto

Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

A Benchmark and Baseline for Language-Driven Image Editing.

Jing Shi, Ning Xu, Trung Bui, Franck Dernoncourt, Zheng Wen, Chenliang Xu

Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

Finding Action Tubes with a Sparse-to-Dense Framework.

Yuxi Li, Weiyao Lin, Tao Wang, John See, Rui Qian, Ning Xu, Limin Wang, Shugong Xu

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

2019

M2KD: Multi-model and Multi-level Knowledge Distillation for Incremental Learning.

Peng Zhou, Long Mai, Jianming Zhang, Ning Xu, Zuxuan Wu, Larry S. Davis

CoRR, 2019

Learning to Trace: Expressive Line Drawing Generation from Photographs.

Naoto Inoue, Daichi Ito, Ning Xu, J. Yang, Brian L. Price, Toshihiko Yamasaki

Comput. Graph. Forum, 2019

An Internal Learning Approach to Video Inpainting.

Haotian Zhang, Long Mai, Hailin Jin, Zhaowen Wang, Ning Xu, John P. Collomosse

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

Controllable Artistic Text Style Transfer via Shape-Matching GAN.

Shuai Yang, Zhangyang Wang, Zhaowen Wang, Ning Xu, Jiaying Liu, Zongming Guo

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

Video Object Segmentation Using Space-Time Memory Networks.

Seoung Wug Oh, Joon-Young Lee, Ning Xu, Seon Joo Kim

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

Large-Scale Tag-Based Font Retrieval With Generative Feature Learning.

Tianlang Chen, Zhaowen Wang, Ning Xu, Hailin Jin, Jiebo Luo

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

Fast User-Guided Video Object Segmentation by Interaction-And-Propagation Networks.

Seoung Wug Oh, Joon-Young Lee, Ning Xu, Seon Joo Kim

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

End-To-End Time-Lapse Video Synthesis From a Single Outdoor Image.

Seonghyeon Nam, Chongyang Ma, Menglei Chai, William Brendel, Ning Xu, Seon Joo Kim

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

2018

YouTube-VOS: Sequence-to-Sequence Video Object Segmentation.

Ning Xu, Linjie Yang, Yuchen Fan, Jianchao Yang, Dingcheng Yue, Yuchen Liang, Brian L. Price, Scott Cohen, Thomas S. Huang

Proceedings of the Computer Vision - ECCV 2018, 2018

2017

Image and video object selection

Ning Xu

PhD thesis, 2017

Deep Image Matting.

Ning Xu, Brian L. Price, Scott Cohen, Thomas S. Huang

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

Deep GrabCut for Object Selection.

Ning Xu, Brian L. Price, Scott Cohen, Jimei Yang, Thomas S. Huang

Proceedings of the British Machine Vision Conference 2017, 2017

2016

Deep Interactive Object Selection.

Ning Xu, Brian L. Price, Scott Cohen, Jimei Yang, Thomas S. Huang

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

Ontological Random Forests for Image Classification.

Ning Xu, Jiangping Wang, Guojun Qi, Thomas S. Huang, Weiyao Lin

Int. J. Inf. Retr. Res., 2015

2014

An ontological bagging approach for image classification of crowdsourced data.

Ning Xu, Jiangping Wang, Zhaowen Wang, Thomas S. Huang

Proceedings of the 2013 IEEE International Conference on Multimedia and Expo Workshops, 2014

2013

Intra-and-Inter-Constraint-Based Video Enhancement Based on Piecewise Tone Mapping.

Yuanzhe Chen, Weiyao Lin, Chongyang Zhang, Zhenzhong Chen, Ning Xu, Jun Xie

IEEE Trans. Circuits Syst. Video Technol., 2013

2011

A new global-based video enhancement algorithm by fusing features of multiple region-of-interests.

Ning Xu, Weiyao Lin, Yu Zhou, Yuanzhe Chen, Zhenzhong Chen, Hongxiang Li

Proceedings of the 2011 IEEE Visual Communications and Image Processing, 2011

A new Temporal-Constraint-Based algorithm by handling temporal qualities for video enhancement.

Jun Xie, Weiyao Lin, Hongxiang Li, Ning Xu, Hongyu Gao, Lining Zhang

Proceedings of the International Symposium on Circuits and Systems (ISCAS 2011), 2011

A new network-based algorithm for multi-camera abnormal activity detection.

Hongyu Gao, Weiyao Lin, Xiaokang Yang, Hongxiang Li, Ning Xu, Jun Xie, Yan Li

Proceedings of the International Symposium on Circuits and Systems (ISCAS 2011), 2011