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08/23/2023
Efficient Transfer Learning in Diffusion Models via Adversarial Noise
Diffusion Probabilistic Models (DPMs) have demonstrated substantial prom...
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08/23/2023
Boosting Diffusion Models with an Adaptive Momentum Sampler
Diffusion probabilistic models (DPMs) have been shown to generate high-q...
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07/11/2023
GujiBERT and GujiGPT: Construction of Intelligent Information Processing Foundation Language Models for Ancient Texts
In the context of the rapid development of large language models, we hav...
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06/29/2023
Learning Structure-Guided Diffusion Model for 2D Human Pose Estimation
One of the mainstream schemes for 2D human pose estimation (HPE) is lear...
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03/18/2023
Confidence Attention and Generalization Enhanced Distillation for Continuous Video Domain Adaptation
Continuous Video Domain Adaptation (CVDA) is a scenario where a source m...
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01/14/2023
Async-fork: Mitigating Query Latency Spikes Incurred by the Fork-based Snapshot Mechanism from the OS Level
In-memory key-value stores (IMKVSes) serve many online applications beca...
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04/13/2022
Calibrating Class Weights with Multi-Modal Information for Partial Video Domain Adaptation
Assuming the source label space subsumes the target one, Partial Video D...
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01/15/2022
Domain Adaptation via Bidirectional Cross-Attention Transformer
Domain Adaptation (DA) aims to leverage the knowledge learned from a sou...
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08/21/2020
Optimum Multi-Antenna Ambient Backscatter Receiver for General Binary-Modulated Signal
Ambient backscatter communication (AmBC) is becoming increasingly popula...
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08/21/2020