Understanding and Mitigating Dimensional Collapse in Federated Learning.
IEEE Trans. Pattern Anal. Mach. Intell., May, 2024
Identity-Preserving Text-to-Video Generation by Frequency Decomposition.
CoRR, 2024
InstaDrag: Lightning Fast and Accurate Drag-based Image Editing Emerging from Videos.
CoRR, 2024
MagicTime: Time-lapse Video Generation Models as Metamorphic Simulators.
CoRR, 2024
Envision3D: One Image to 3D with Anchor Views Interpolation.
CoRR, 2024
ChronoMagic-Bench: A Benchmark for Metamorphic Evaluation of Text-to-Time-lapse Video Generation.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
DragDiffusion: Harnessing Diffusion Models for Interactive Point-Based Image Editing.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
DragDiffusion: Harnessing Diffusion Models for Interactive Point-based Image Editing.
CoRR, 2023
Mix-of-Show: Decentralized Low-Rank Adaptation for Multi-Concept Customization of Diffusion Models.
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Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Learning with Fantasy: Semantic-Aware Virtual Contrastive Constraint for Few-Shot Class-Incremental Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
A DRL Enhanced Caching Based on Age of Information for 6G Mobile Edge Computation.
Proceedings of the IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, 2023
Leveraging Instance-, Image- and Dataset-Level Information for Weakly Supervised Instance Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell., 2022
Mimicking the Oracle: An Initial Phase Decorrelation Approach for Class Incremental Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Refiner: Refining Self-attention for Vision Transformers.
CoRR, 2021
Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet.
CoRR, 2021
Quantitative Analysis of Back-EMF of a Dual-Permanent-Magnet-Excited Machine: Alert to Flux Density Harmonics Which Make a Negative Contribution to Back-EMF.
IEEE Access, 2021
All Tokens Matter: Token Labeling for Training Better Vision Transformers.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
Continual Learning via Bit-Level Information Preserving.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
Understanding Adversarial Behavior of DNNs by Disentangling Non-Robust and Robust Components in Performance Metric.
CoRR, 2019
Rethinking the Usage of Batch Normalization and Dropout in the Training of Deep Neural Networks.
CoRR, 2019
Learning Pixel-wise Labeling from the Internet without Human Interaction.
CoRR, 2018
Predictive Flux-linkage Control for Novel Dual-Permanent-Magnet-Excited Machines.
Proceedings of the IEEE International Conference on Information and Automation, 2018
A New Perspective on the Operating Principle of Flux-Switching Permanent-Magnet Machines.
IEEE Trans. Ind. Electron., 2016
Second-Order Polynomial Equation-Based Block Adjustment for Orthorectification of DISP Imagery.
Remote. Sens., 2016
Extraction of exposed carbonatite in karst desertification area using co-location decision tree.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014
The removal of ocular artifactsfrom EEG signals: An adaptive modeling technique for portable applications.
Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013