Ping Hu

Orcid: 0000-0002-3121-9852

Affiliations:

University of Electronic Science and Technology of China, School of Computer Science and Engineering, Sichuan, China
Boston University, Department of Computer Science, MA, USA
Nanyang Technological University, School of Electrical and Electronic Engineering, Singapore (former)
University of Chinese Academy of Sciences, School of Computer and Control Engineering, Beijing, China (former)

According to our database¹, Ping Hu authored at least 41 papers between 2015 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

Legend:

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PhD thesis

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Bibliography

2024

DualCoOp++: Fast and Effective Adaptation to Multi-Label Recognition With Limited Annotations.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., May, 2024

Video Frame Interpolation With Many-to-Many Splatting and Spatial Selective Refinement.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., February, 2024

Learning depth-aware decomposition for single image dehazing.

[BibT_eX]

[DOI]

Comput. Vis. Image Underst., 2024

On Efficient Variants of Segment Anything Model: A Survey.

[BibT_eX]

[DOI]

CoRR, 2024

Noisy Node Classification by Bi-level Optimization based Multi-teacher Distillation.

[BibT_eX]

[DOI]

CoRR, 2024

Adaptive Multi-Modality Prompt Learning.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Towards Dynamic-Prompting Collaboration for Source-Free Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Exploring the Role of Node Diversity in Directed Graph Representation Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

GATrack: Group-Aware features for multiple object tracking.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Self-Supervised Heterogeneous Graph Learning: a Homophily and Heterogeneity View.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Harnessing Text-to-Image Diffusion Models for Category-Agnostic Pose Estimation.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

Boosting Continual Learning of Vision-Language Models via Mixture-of-Experts Adapters.

[BibT_eX]

[DOI]

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

Koala: Key Frame-Conditioned Long Video-LLM.

[BibT_eX]

[DOI]

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

2023

Semantic Consistent Embedding for Domain Adaptive Zero-Shot Learning.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2023

Adaptive Multi-Modality Prompt Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Joint Attribute and Model Generalization Learning for Privacy-Preserving Action Recognition.

[BibT_eX]

[DOI]

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

Diffusion-based Image Translation with Label Guidance for Domain Adaptive Semantic Segmentation.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Token Boosting for Robust Self-Supervised Visual Transformer Pre-training.

[BibT_eX]

[DOI]

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

2022

Leveraging Geometric Structure for Label-Efficient Semi-Supervised Scene Segmentation.

[BibT_eX]

[DOI]

Ping Hu

Stan Sclaroff

Kate Saenko

IEEE Trans. Image Process., 2022

DualCoOp: Fast Adaptation to Multi-Label Recognition with Limited Annotations.

[BibT_eX]

[DOI]

Ximeng Sun

Ping Hu

Kate Saenko

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learning to Detect Every Thing in an Open World.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision, 2022

Many-to-many Splatting for Efficient Video Frame Interpolation.

[BibT_eX]

[DOI]

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

ZeroWaste Dataset: Towards Deformable Object Segmentation in Cluttered Scenes.

[BibT_eX]

[DOI]

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

Video Object Segmentation via Structural Feature Reconfiguration.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ACCV 2022, 2022

2021

Real-Time Semantic Segmentation With Fast Attention.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2021

Conterfactual Generative Zero-Shot Semantic Segmentation.

[BibT_eX]

[DOI]

Feihong Shen

Jun Liu

Ping Hu

CoRR, 2021

ZeroWaste Dataset: Towards Automated Waste Recycling.

[BibT_eX]

[DOI]

CoRR, 2021

Weakly Supervised Domain Adaptation using Super-pixel labeling for Semantic Segmentation.

[BibT_eX]

[DOI]

Proceedings of the 17th International Conference on Machine Vision and Applications, 2021

2020

Motion-Guided Cascaded Refinement Network for Video Object Segmentation.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2020

DIPNet: Dynamic Identity Propagation Network for Video Object Segmentation.

[BibT_eX]

[DOI]

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Uncertainty-Aware Learning for Zero-Shot Semantic Segmentation.

[BibT_eX]

[DOI]

Ping Hu

Stan Sclaroff

Kate Saenko

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

Temporally Distributed Networks for Fast Video Semantic Segmentation.

[BibT_eX]

[DOI]

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

2019

Weakly-supervised Compositional FeatureAggregation for Few-shot Recognition.

[BibT_eX]

[DOI]

CoRR, 2019

2018

Recurrent Spatial Pyramid CNN for Optical Flow Estimation.

[BibT_eX]

[DOI]

Ping Hu

Gang Wang

Yap-Peng Tan

IEEE Trans. Multim., 2018

2017

Skeleton Based Human Action Recognition with Global Context-Aware Attention LSTM Networks.

[BibT_eX]

[DOI]

CoRR, 2017

Global Context-Aware Attention LSTM Networks for 3D Action Recognition.

[BibT_eX]

[DOI]

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

Deep Level Sets for Salient Object Detection.

[BibT_eX]

[DOI]

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

2016

Detecting Salient Objects via Color and Texture Compactness Hypotheses.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2016

2015

Detecting Salient Objects via Spatial and Appearance Compactness Hypotheses.

[BibT_eX]

[DOI]

Ping Hu

Weiqiang Wang

Ke Lu

Proceedings of the 23rd Annual ACM Conference on Multimedia Conference, MM '15, Brisbane, Australia, October 26, 2015

A novel binarization approach for text in images.

[BibT_eX]

[DOI]

Ping Hu

Weiqiang Wang

Ke Lu

Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Video text detection with text edges and convolutional neural network.

[BibT_eX]

[DOI]

Ping Hu

Weiqiang Wang

Ke Lu

Proceedings of the 3rd IAPR Asian Conference on Pattern Recognition, 2015

Ping Hu

Timeline

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