3 papers
cs.CV2025
AdaptInfer: Adaptive Token Pruning for Vision-Language Model Inference with Dynamical Text Guidance
Weichen Zhang, Zhui Zhu, Ningbo Li +3
Vision-language models (VLMs) have achieved impressive performance on multimodal reasoning tasks such as visual question answering, image captioning and so on, but their inference…
cs.CV2025
SURGEON: Memory-Adaptive Fully Test-Time Adaptation via Dynamic Activation Sparsity
Ke Ma, Jiaqi Tang, Bin Guo +8
Despite the growing integration of deep models into mobile terminals, the accuracy of these models declines significantly due to various deployment interferences. Test-time adaptat…
cs.MM2024
Palantir: Towards Efficient Super Resolution for Ultra-high-definition Live Streaming
Xinqi Jin, Zhui Zhu, Xikai Sun +6
Neural enhancement through super-resolution (SR) deep neural networks (DNNs) opens up new possibilities for ultra-high-definition (UHD) live streaming over existing encoding and ne…