6 papers
LAST: The Last Query Token Guides Visual Token Pruning for Edge-Cloud Collaborative MLLM Inference
Feng Yang, Xinrui Ju, Keyang Zhang +6
Multimodal foundation models are reshaping edge-cloud visual intelligence from task-specific feature pipelines into token-based interfaces, where edge devices encode visual inputs…
LUMI: Tokenizer-Agnostic LLM-Based Lossless Image Compression
Chris Xing Tian, Chengkai Wu, Ziyu Wang +6
Large language model (LLM)-based lossless image compression methods typically represent pixel data through the native text interface of a pretrained model, converting pixel values…
Boosting Neural Video Codec via Scale-Driven Online Flow Refinement
Tiange Zhang, Rongqun Lin, Haocheng Tang +4
Although state-of-the-art neural video codecs (NVCs) have achieved remarkable performance, they suffer from limited generalization when encountering complex motion patterns unseen…
Neural Video Compression with Domain Transfer
Tiange Zhang, Rongqun Lin, Xiandong Meng +4
Content-adaptive compression has always been a key direction in neural video coding (NVC), aiming to mitigate the domain gap between training and testing data. Such gaps often aris…
RiverEcho: Real-Time Interactive Digital System for Ancient Yellow River Culture
Haofeng Wang, Yilin Guo, Zehao Li +7
The Yellow River is China's mother river and a cradle of human civilization. The ancient Yellow River culture is, moreover, an indispensable part of human art history. To conserve…
Towards Modality Transferable Visual Information Representation with Optimal Model Compression
Rongqun Lin, Linwei Zhu, Shiqi Wang +1
Compactly representing the visual signals is of fundamental importance in various image/video-centered applications. Although numerous approaches were developed for improving the i…