Sanping Zhou

Orcid: 0000-0003-4100-2304

According to our database1, Sanping Zhou authored at least 85 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
KPDet: Keypoint-based 3D object detection with Parametric Radius Learning.
Neurocomputing, March, 2024

Transfer easy to hard: Adversarial contrastive feature learning for unsupervised person re-identification.
Pattern Recognit., January, 2024

Sparse self-attention transformer for image inpainting.
Pattern Recognit., January, 2024

Abnormal Ratios Guided Multi-Phase Self-Training for Weakly-Supervised Video Anomaly Detection.
IEEE Trans. Multim., 2024

Camera-aware Label Refinement for Unsupervised Person Re-identification.
CoRR, 2024

Boosting Semi-Supervised Temporal Action Localization by Learning from Non-Target Classes.
CoRR, 2024

Recurrent Aligned Network for Generalized Pedestrian Trajectory Prediction.
CoRR, 2024

Dual-Space Optimization: Improved Molecule Sequence Design by Latent Prompt Transformer.
CoRR, 2024

Temporal Correlation Vision Transformer for Video Person Re-Identification.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Voxel or Pillar: Exploring Efficient Point Cloud Representation for 3D Object Detection.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Representing Multimodal Behaviors With Mean Location for Pedestrian Trajectory Prediction.
IEEE Trans. Pattern Anal. Mach. Intell., September, 2023

Memory-augmented appearance-motion network for video anomaly detection.
Pattern Recognit., June, 2023

Exploring Action Centers for Temporal Action Localization.
IEEE Trans. Multim., 2023

Multi-Panda Tracking.
IEEE Trans. Multim., 2023

Instance Motion Tendency Learning for Video Panoptic Segmentation.
IEEE Trans. Image Process., 2023

Context Adaptive Network for Image Inpainting.
IEEE Trans. Image Process., 2023

Sparse Pedestrian Character Learning for Trajectory Prediction.
CoRR, 2023

Single-Shot and Multi-Shot Feature Learning for Multi-Object Tracking.
CoRR, 2023

FFINet: Future Feedback Interaction Network for Motion Forecasting.
CoRR, 2023

Understanding the Overfitting of the Episodic Meta-training.
CoRR, 2023

VPFusion: Towards Robust Vertical Representation Learning for 3D Object Detection.
CoRR, 2023

TEMI-MOT: Towards Efficient Multi-Modality Instance-Aware Feature Learning for 3D Multi-Object Tracking.
Proceedings of the International Joint Conference on Neural Networks, 2023

Pseudo Labels Refinement with Intra-Camera Similarity for Unsupervised Person Re-Identification.
Proceedings of the IEEE International Conference on Image Processing, 2023

Learning from Noisy Pseudo Labels for Semi-Supervised Temporal Action Localization.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Trajectory Unified Transformer for Pedestrian Trajectory Prediction.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Parallel Attention Interaction Network for Few-Shot Skeleton-based Action Recognition.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Sparse Instance Conditioned Multimodal Trajectory Prediction.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

MLF-DET: Multi-Level Fusion for Cross-Modal 3D Object Detection.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2023, 2023

StructVPR: Distill Structural Knowledge with Weighting Samples for Visual Place Recognition.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

MotionTrack: Learning Robust Short-Term and Long-Term Motions for Multi-Object Tracking.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Multi-Stream Representation Learning for Pedestrian Trajectory Prediction.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Multinetwork Collaborative Feature Learning for Semisupervised Person Reidentification.
IEEE Trans. Neural Networks Learn. Syst., 2022

AVLSM: Adaptive Variational Level Set Model for Image Segmentation in the Presence of Severe Intensity Inhomogeneity and High Noise.
IEEE Trans. Image Process., 2022

A Novel Hybrid Level Set Model for Non-Rigid Object Contour Tracking.
IEEE Trans. Image Process., 2022

Local to Global Feature Learning for Salient Object Detection.
Pattern Recognit. Lett., 2022

Dual relation network for temporal action localization.
Pattern Recognit., 2022

Learning to predict diverse trajectory from human motion patterns.
Neurocomputing, 2022

T-former: An Efficient Transformer for Image Inpainting.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Meta Pixel Loss Correction for Medical Image Segmentation with Noisy Labels.
Proceedings of the Medical Image Learning with Limited and Noisy Data, 2022

Pedestrian Intention Prediction Based on Traffic-Aware Scene Graph Model.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Hourglass Attention Network for Image Inpainting.
Proceedings of the Computer Vision - ECCV 2022, 2022

Learning to Refactor Action and Co-occurrence Features for Temporal Action Localization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

TransVPR: Transformer-Based Place Recognition with Multi-Level Attention Aggregation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Social Interpretable Tree for Pedestrian Trajectory Prediction.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Complementary Attention Gated Network for Pedestrian Trajectory Prediction.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Hierarchical and Interactive Refinement Network for Edge-Preserving Salient Object Detection.
IEEE Trans. Image Process., 2021

Tracking Beyond Detection: Learning a Global Response Map for End-to-End Multi-Object Tracking.
IEEE Trans. Image Process., 2021

Predicting Task-Driven Attention via Integrating Bottom-Up Stimulus and Top-Down Guidance.
IEEE Trans. Image Process., 2021

Single-Image super-resolution - When model adaptation matters.
Pattern Recognit., 2021

Auxiliary Loss Adaptation for Image Inpainting.
CoRR, 2021

Progressive Depth Learning for Single Image Dehazing.
CoRR, 2021

Multiple Object Tracking by Trajectory Map Regression with Temporal Priors Embedding.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Learning Contextual Transformer Network for Image Inpainting.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Learning Generic Feature Representations with Adversarial Regularization for Person Re-Identification.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Unlimited Neighborhood Interaction for Heterogeneous Trajectory Prediction.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Meta Pairwise Relationship Distillation for Unsupervised Person Re-identification.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

SGCN: Sparse Graph Convolution Network for Pedestrian Trajectory Prediction.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Hierarchical U-Shape Attention Network for Salient Object Detection.
IEEE Trans. Image Process., 2020

Teacher-Student Asynchronous Learning with Multi-Source Consistency for Facial Landmark Detection.
CoRR, 2020

End-to-End Multi-Object Tracking with Global Response Map.
CoRR, 2020

Multiple Object Tracking by Flowing and Fusing.
CoRR, 2020

Meta Corrupted Pixels Mining for Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019
Discriminative Feature Learning With Foreground Attention for Person Re-Identification.
IEEE Trans. Image Process., 2019

Semi-supervised person re-identification using multi-view clustering.
Pattern Recognit., 2019

Saliency-guided level set model for automatic object segmentation.
Pattern Recognit., 2019

Frame-wise Motion and Appearance for Real-time Multiple Object Tracking.
CoRR, 2019

SE2Net: Siamese Edge-Enhancement Network for Salient Object Detection.
CoRR, 2019

Push the Student to Learn Right: Progressive Gradient Correcting by Meta-learner on Corrupted Labels.
CoRR, 2019

Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Discriminative Feature Learning With Consistent Attention Regularization for Person Re-Identification.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Person-in-WiFi: Fine-Grained Person Perception Using WiFi.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018
Large Margin Learning in Set-to-Set Similarity Comparison for Person Reidentification.
IEEE Trans. Multim., 2018

Deep self-paced learning for person re-identification.
Pattern Recognit., 2018

Deep ranking model by large adaptive margin learning for person re-identification.
Pattern Recognit., 2018

Face alignment recurrent network.
Pattern Recognit., 2018

An adaptive-scale active contour model for inhomogeneous image segmentation and bias field estimation.
Pattern Recognit., 2018

Continuous Action Recognition and Segmentation in Untrimmed Videos.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

An Online and Flexible Multi-Object Tracking Framework Using Long Short-Term Memory.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

2017
Correntropy-based level set method for medical image segmentation and bias correction.
Neurocomputing, 2017

Large Margin Learning in Set to Set Similarity Comparison for Person Re-identification.
CoRR, 2017

Point to Set Similarity Based Deep Feature Learning for Person Re-Identification.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
Active contour model based on local and global intensity information for medical image segmentation.
Neurocomputing, 2016

Incorporating image priors with deep convolutional neural networks for image super-resolution.
Neurocomputing, 2016

Deep Ranking Model for Person Re-identification with Pairwise Similarity Comparison.
Proceedings of the Advances in Multimedia Information Processing - PCM 2016, 2016

Person Re-identification by Multi-Channel Parts-Based CNN with Improved Triplet Loss Function.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016


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