1 citations · 3 across the 19 of their papers we have counts for
6 papers · 1 filter
: A Large-Scale Multi-Modality Multi-View Synthesized Benchmark Dataset for Image Restoration and Content Creation
Yuanzhi Li, Lebin Zhou, Nam Ling +3
The gaming and entertainment industry is rapidly evolving, driven by immersive experiences and the integration of generative AI (GAI) technologies. Training such models effectively…
Collaborative Compression for Large-Scale MoE Deployment on Edge
Yixiao Chen, Yanyue Xie, Ruining Yang +6
The Mixture of Experts (MoE) architecture is an important method for scaling Large Language Models (LLMs). It increases model capacity while keeping computation cost low. However,…
ISCS: Parameter-Guided Feature Pruning for Resource-Constrained Embodied Perception
Jinhao Wang, Nam Ling, Wei Wang +1
Prior studies in embodied AI consistently show that robust perception is critical for human-robot interaction, yet deploying high-fidelity visual models on resource-constrained age…
4DGS-CC: A Contextual Coding Framework for 4D Gaussian Splatting Data Compression
Zicong Chen, Zhenghao Chen, Wei Jiang +3
Storage is a significant challenge in reconstructing dynamic scenes with 4D Gaussian Splatting (4DGS) data. In this work, we introduce 4DGS-CC, a contextual coding framework that c…
TVC: Tokenized Video Compression with Ultra-Low Bit Rate
Lebin Zhou, Cihan Ruan, Nam Ling +3
Tokenized visual representations have shown promise in image compression, yet their extension to video remains underexplored due to the challenges posed by complex temporal dynamic…
HDCompression: Hybrid-Diffusion Image Compression for Ultra-Low Bitrates
Lei Lu, Yize Li, Yanzhi Wang +2
Image compression under ultra-low bitrates remains challenging for both conventional learned image compression (LIC) and generative vector-quantized (VQ) modeling. Conventional LIC…