ProtoCLIP: Prototypical Contrastive Language Image Pretraining.
IEEE Trans. Neural Networks Learn. Syst., January, 2025
IMWA: Iterative Model Weight Averaging benefits class-imbalanced learning.
Pattern Recognit., 2025
IMWA: Iterative Model Weight Averaging Benefits Class-Imbalanced Learning Tasks.
CoRR, 2024
Learning Prompt with Distribution-Based Feature Replay for Few-Shot Class-Incremental Learning.
CoRR, 2024
Class Balance Matters to Active Class-Incremental Learning.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
Prototypical Contrastive Language Image Pretraining.
CoRR, 2022
W2N: Switching from Weak Supervision to Noisy Supervision for Object Detection.
Proceedings of the Computer Vision - ECCV 2022, 2022
Attend to Who You Are: Supervising Self-Attention for Keypoint Detection and Instance-Aware Association.
CoRR, 2021
Guiding Query Position and Performing Similar Attention for Transformer-Based Detection Heads.
CoRR, 2021
Adaptive Dilated Convolution For Human Pose Estimation.
CoRR, 2021
Is 2D Heatmap Representation Even Necessary for Human Pose Estimation?
CoRR, 2021
Graph-MLP: Node Classification without Message Passing in Graph.
CoRR, 2021
V2F-Net: Explicit Decomposition of Occluded Pedestrian Detection.
CoRR, 2021
Efficient Human Pose Estimation by Learning Deeply Aggregated Representations.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021
TokenPose: Learning Keypoint Tokens for Human Pose Estimation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
Rethinking the Heatmap Regression for Bottom-Up Human Pose Estimation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
General Instance Distillation for Object Detection.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
Rethinking the Heatmap Regression for Bottom-up Human Pose Estimation.
CoRR, 2020
Learning Delicate Local Representations for Multi-person Pose Estimation.
Proceedings of the Computer Vision - ECCV 2020, 2020
DPGN: Distribution Propagation Graph Network for Few-Shot Learning.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
High-Order Information Matters: Learning Relation and Topology for Occluded Person Re-Identification.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
GridFace: Face Rectification via Learning Local Homography Transformations.
Proceedings of the Computer Vision - ECCV 2018, 2018
Symmetric Variational Autoencoder and Connections to Adversarial Learning.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018
Delving Deep Into Coarse-to-Fine Framework for Facial Landmark Localization.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017
Approaching human level facial landmark localization by deep learning.
Image Vis. Comput., 2016
Going Deeper with Embedded FPGA Platform for Convolutional Neural Network.
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Proceedings of the 2016 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2016
Naive-Deep Face Recognition: Touching the Limit of LFW Benchmark or Not?
CoRR, 2015
Coarse-to-fine Face Alignment with Multi-Scale Local Patch Regression.
CoRR, 2015
Learning Face Hallucination in the Wild.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
Large scale recurrent neural network on GPU.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
Extensive Facial Landmark Localization with Coarse-to-Fine Convolutional Network Cascade.
Proceedings of the 2013 IEEE International Conference on Computer Vision Workshops, 2013