Training Data Synthesis with Difficulty Controlled Diffusion Model.
CoRR, 2024
Reward Incremental Learning in Text-to-Image Generation.
CoRR, 2024
Training-Free Sketch-Guided Diffusion with Latent Optimization.
CoRR, 2024
From Obstacle to Opportunity: Enhancing Semi-supervised Learning with Synthetic Data.
CoRR, 2024
Dealing with Synthetic Data Contamination in Online Continual Learning.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
SCOMatch: Alleviating Overtrusting in Open-Set Semi-supervised Learning.
Proceedings of the Computer Vision - ECCV 2024, 2024
The Lottery Ticket Hypothesis in Denoising: Towards Semantic-Driven Initialization.
Proceedings of the Computer Vision - ECCV 2024, 2024
Semantic-Driven Initial Image Construction for Guided Image Synthesis in Diffusion Model.
CoRR, 2023
Guided Image Synthesis via Initial Image Editing in Diffusion Model.
Proceedings of the 31st ACM International Conference on Multimedia, 2023
Noise-Avoidance Sampling for Annotation Missing Object Detection.
Proceedings of the IEEE International Conference on Image Processing, 2023
Training-Free Location-Aware Text-to-Image Synthesis.
Proceedings of the IEEE International Conference on Image Processing, 2023
Noisy Localization Annotation Refinement for Object Detection.
IEICE Trans. Inf. Syst., 2021
Noisy Annotation Refinement for Object Detection.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021
FewJoint: A Few-shot Learning Benchmark for Joint Language Understanding.
CoRR, 2020