
Title |
|---|
![]() RICA2: Rubric-Informed, Calibrated Assessment of ActionsEuropean Conference on Computer Vision (ECCV), 2024 |
![]() Action Quality Assessment with Temporal Parsing TransformerEuropean Conference on Computer Vision (ECCV), 2022 |
![]() FineDiving: A Fine-grained Dataset for Procedure-aware Action Quality
AssessmentComputer Vision and Pattern Recognition (CVPR), 2022 |
![]() ACTION-Net: Multipath Excitation for Action RecognitionComputer Vision and Pattern Recognition (CVPR), 2021 |
![]() Piano Skills AssessmentIEEE International Workshop on Multimedia Signal Processing (MMSP), 2021 |
![]() Uncertainty Inspired RGB-D Saliency DetectionIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020 |
![]() Uncertainty-aware Score Distribution Learning for Action Quality
AssessmentComputer Vision and Pattern Recognition (CVPR), 2020 |
![]() UC-Net: Uncertainty Inspired RGB-D Saliency Detection via Conditional
Variational AutoencodersComputer Vision and Pattern Recognition (CVPR), 2020 |
![]() Temporal Pyramid Network for Action RecognitionComputer Vision and Pattern Recognition (CVPR), 2020 |
![]() TEA: Temporal Excitation and Aggregation for Action RecognitionComputer Vision and Pattern Recognition (CVPR), 2020 |
![]() Decision-Making with Auto-Encoding Variational BayesNeural Information Processing Systems (NeurIPS), 2020 Romain Lopez Pierre Boyeau Nir Yosef Michael I. Jordan Jeffrey Regier |
![]() A Simple Framework for Contrastive Learning of Visual RepresentationsInternational Conference on Machine Learning (ICML), 2020 |
![]() Momentum Contrast for Unsupervised Visual Representation LearningComputer Vision and Pattern Recognition (CVPR), 2019 |
![]() PHiSeg: Capturing Uncertainty in Medical Image SegmentationInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2019 |
![]() Video-based surgical skill assessment using 3D convolutional neural
networksInternational Journal of Computer Assisted Radiology and Surgery (IJCARS), 2019 |
![]() Adam: A Method for Stochastic OptimizationInternational Conference on Learning Representations (ICLR), 2014 Diederik P. Kingma Jimmy Ba |