Divide-and-Aggregate Learning for Evaluating Performance on Unlabeled Data.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
LGF<sup>2</sup>: Local and Global Feature Fusion for Text-Guided Object Detection.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2023, 2023
K-means Clustering Based Feature Consistency Alignment for Label-free Model Evaluation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Balanced single-shot object detection using cross-context attention-guided network.
Pattern Recognit., 2022
Learning Feature Disentanglement and Dynamic Fusion for Recaptured Image Forensic.
CoRR, 2022
Dynamically Connected Graph Representation for Object Detection.
Proceedings of the Neural Information Processing - 29th International Conference, 2022
Disentangled Feature Network for Fine-Grained Recognition.
Proceedings of the Neural Information Processing - 28th International Conference, 2021
Temporally Coarse to Fine Snippets Relationship Learning with Graph Convolution for Temporal Action Proposal Generation.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021
Object-Oriented Relational Distillation for Object Detection.
Proceedings of the IEEE International Conference on Acoustics, 2021
DG-FPN: Learning Dynamic Feature Fusion Based on Graph Convolution Network For Object Detection.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2020
Representation Reconstruction Head for Object Detection.
Proceedings of the IEEE International Conference on Image Processing, 2020
Learning Class-Based Graph Representation for Object Detection.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020