Publication List

  Journal

• DualCoOp++: Fast and Effective Adaptation to Multi-Label Recognition with Limited Annotations
  Ping Hu, Ximeng Sun, Stan Sclaroff, Kate Saenko
  IEEE Trans. on Pattern Analysis and Machine Intelligence (T-PAMI), 2024.
  
  
• Video Frame Interpolation with Many-to-many Splatting and Spatial Selective Refinement
  Ping Hu, Simon Niklaus, Lu Zhang, Stan Sclaroff, Kate Saenko
  IEEE Trans. on Pattern Analysis and Machine Intelligence (T-PAMI), 2024.
  
  
• Learning Depth-aware Decomposition for Single Image Dehazing
  Yumeng Kang, Lu Zhang, Ping Hu, Yu Liu, Huchuan Lu, You He
  Computer Vision and Image Understanding (CVIU), 2024.
  
  
• MaskTrack: Auto-Labeling and Stable Tracking for Video Object Segmentation
  Zhenyu Chen, Lu Zhang, Ping Hu, Huchuan Lu, You He
  IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2024.
  
  
• Semantic Consistent Embedding for Domain Adaptive Zero-Shot Learning
  Jianyang Zhang, Guowu Yang, Ping Hu, Guosheng Lin, Fengmao Lv
  IEEE Trans. on Image Processing (T-IP), 2023.
  
  
• Leveraging Geometric Structure for Label-efficient Semisupervised Scene Segmentation
  Ping Hu, Stan Sclaroff, Kate Saenko
  IEEE Trans. on Image Processing (T-IP), 2022.
  
  
• Motion-Guided Cascaded Refinement Network for Video Object Segmentation
  Ping Hu, Gang Wang, Xiangfei Kong, Jason Kuen, Yap-peng Tan
  IEEE Trans. on Pattern Analysis and Machine Intelligence (T-PAMI), 2020.
  
  
• Recurrent Spatial Pyramid CNN for Optical Flow Estimation
  Ping Hu, Gang Wang, Yap-peng Tan
  IEEE Trans. on Multimedia (T-MM), 2018.
  
  
• Detecting Salient Objects via Color and Texture Compactness Hypotheses
  Ping Hu, Weiqiang Wang, Chi Zhang, Ke Lu
  IEEE Trans. on Image Processing (T-IP), 2016.
  
  

  Conference

• PPM: Text-to-Image Diffusion Models are Category-Agnostic Pose Estimators
  Duo Peng, Zhengbo Zhang, Ping Hu, Qiuhong Ke, David Yau, Jun Liu
  European Conference on Computer Vision (ECCV), 2024
  
  
• VideoMosaic: Connecting the Temporal Dots in Long Videos for LLMs
  Reuben Tan, Ximeng Sun, Ping Hu, Jui-Hsien Wang, Hanieh Deilamsalehy, Bryan A. Plummer, Bryan Russell, Kate Saenko
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024
  
  
• Boosting Continual Learning of Vision-Language Models via Mixture-of-Experts Adapters
  Jiazuo Yu, Yunzhi Zhuge, Lu Zhang, Ping Hu, Dong Wang, Huchuan Lu, You He
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024
  
  
• Adaptive Multi-Modality Prompt Learning
  Zongqian Wu, Yujing Liu, Mengmeng Zhan, Ping Hu, Xiaofeng Zhu
  ACM Multimedia Conference (MM), 2024
  
  
• Self-Supervised Heterogeneous Graph Learning: a Homophily and Heterogeneity View
  Yujie Mo, Feiping Nie, Ping Hu, Heng Tao Shen, Zheng Zhang, Xinchao Wang, Xiaofeng Zhu
  International Conference on Learning Representations (ICLR), 2024
  
  
• GATrack: Group-Aware features for multiple object tracking
  Xiaolong Wang, Ping Hu, Rongyao Hu, Xiaofeng Zhu
  IEEE Conference on Multimedia Expo (ICME), 2024
  
  
• Towards Dynamic-Prompting Collaboration for Source-Free Domain Adaptation
  Mengmeng Zhan, Zhongqian Wu, Rongyao Hu, Ping Hu, Heng Tao Shen, Xiaofeng Zhu
  International Joint Conference on Artificial Intelligence (IJCAI), 2024
  
  
• Exploring the Role of Node Diversity in Directed Graph Representation Learning
  Jincheng Huang, Yujie Mo, Ping Hu, Xiaoshuang Shi, Shangbo Yuan, Zeyu Zhang, Xiaofeng Zhu
  International Joint Conference on Artificial Intelligence (IJCAI), 2024
  
  
• Joint Attribute and Model Generalization Learning for Privacy-Preserving Action Recognition
  Duo Peng, Li Xu, Qiuhong Ke, Ping Hu, Jun Liu
  Neural Information Processing Systems (NeurIPS), 2023
  
  
• Diffusion-based Image Translation with Label Guidance for Domain Adaptive Semantic Segmentation
  Duo Peng, Ping Hu, Qiuhong Ke, Jun Liu
  IEEE International Conference on Computer Vision (ICCV), 2023.
  
  
• Token Boosting for Robust Self-Supervised Visual Transformer Pre-training
  Tianjiao Li, Lin Geng Foo, Ping Hu, Xindi Shang, Hossein Rahmani, Zehuan Yuan, Jun Liu
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
  
  
• DualCoOp: Fast Adaptation to Multi-Label Recognition with Limited Annotations
  Ximeng Sun, Ping Hu, Kate Saenko
  Neural Information Processing Systems (NeurIPS), 2022.
  
  
• Learning to Detect Every Thing in an Open World
  Kuniaki Saito, Ping Hu, Trevor Darrell, Kate Saenko
  European Conference on Computer Vision (ECCV), 2022.
  
  
• Many-to-many Splatting for Efficient Video Frame Interpolation
  Ping Hu, Simon Niklaus, Stan Sclaroff, Kate Saenko
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
  
  
• ZeroWaste Dataset: Towards Deformable Object Segmentation in Cluttered Scenes
  Dina Bashkirova, Mohamed Abdelfattah, Ziliang Zhu, James Akl, Fadi Alladkani, Ping Hu, Vitaly Ablavsky, Berk Calli, Sarah Adel Bargal, Kate Saenko
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
  
  
• Splatting-based synthesis for video frame interpolation
  Simon Niklaus, Ping Hu, Jiawen Chen
  Winter Conference on Applications of Computer Vision (WACV), 2022.
  
  
• Video Object Segmentation via Structural Feature Reconfiguration
  Zhenyu Chen, Ping Hu, Lu Zhang, Huchuan Lu, You He, Shuo Wang, Xiaoxing Zhang, Maodi Hu, Tao Li
  Asian Conference on Computer Vision (ACCV), 2022.
  
  
• Real-time Semantic Segmentation with Fast Attention
  Ping Hu, Federico Perazzi, Fabian Caba Heilbron, Oliver Wang,Zhe Lin, Kate Saenko, Stan Sclaroff
  IEEE Robotics and Automation Letters (RA-L), 2021.
  IEEE International Conference on Robotics and Automation (ICRA), 2021.
  
  
  
• Temporally Distributed Networks for Fast Video Semantic Segmentation
  Ping Hu, Fabian Caba Heilbron, Oliver Wang, Zhe Lin, Stan Sclaroff, Federico Perazzi
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
  
  
• Uncertainty-Aware Learning for Zero-Shot Semantic Segmentation
  Ping Hu, Stan Sclaroff, Kate Saenko
  Neural Information Processing Systems (NeurIPS) 2020.
  
  
• DIPNet: Dynamic Identity Propagation Network for Video Object Segmentation
  Ping Hu, Jun Liu, Gang Wang, Vitaly Ablavsky, Kate Saenko, Stan Sclaroff
  IEEE Winter Conference on Applications of Computer Vision (WACV), 2020.
  
  
• Motion-Guided Cascaded Refinement Network for Video Object Segmentation
  Ping Hu, Gang Wang, Xiangfei Kong, Jason Kuen, Yap-peng Tan
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018.
  
  
  
• Global context-aware attention lstm networks for 3d action recognition
  Jun Liu, Gang Wang, Ping Hu, Lingyu Duan, Alex Kot
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.
  
  
• Deep Level Sets for Salient Object Detection
  Ping Hu, Bing Shuai, Jun Liu, Gang Wang
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.