5 papers
Profiling-Driven Adaptive Distributed Transformer Inference on Embedded Edge Deployment
Muhammad Azlan Qazi, Alexandros Iosifidis, Qi Zhang
Distributing Transformer inference across embedded edge devices can alleviate individual memory and compute constraints, yet practical benefits on real hardware remain unclear: pri…
CodecSplat: Ultra-Compact Latent Coding for Feed-Forward 3D Gaussian Splatting
Pengpeng Yu, Runqing Jiang, Qi Zhang +3
While feed-forward 3D Gaussian splatting reconstructs renderable Gaussian primitives from sparse context views without per-scene optimization, existing pipelines do not provide a c…
LEAN-3D: Low-latency Hierarchical Point Cloud Codec for Mobile 3D Streaming
Yuchen Gao, Qi Zhang
We aim to make learned point cloud compression deployable for low-latency streaming on mobile systems. While learned point cloud compression has shown strong coding efficiency, pra…
Hint: hierarchical inter-frame correlation for one-shot point cloud sequence compression
Yuchen Gao, Qi Zhang
Deep learning has demonstrated strong capability in compressing point clouds. Within this area, entropy modeling for lossless compression is widely investigated. However, most meth…
Touch-Augmented Gaussian Splatting for Enhanced 3D Scene Reconstruction
Yuchen Gao, Xiao Xu, Eckehard Steinbach +2
This paper presents a multimodal framework that integrates touch signals (contact points and surface normals) into 3D Gaussian Splatting (3DGS). Our approach enhances scene reconst…