activity
20242026
most citedUEyes: An Eye-Tracking Dataset across User Interface Types

1 citations · 1 across the 6 of their papers we have counts for

collaborators

6 papers

cs.GR2026

TileGS: Tile-Local Depth Binning for Gaussian Splatting Rasterization

Wei Tan, Matias Turkulainen, Lauri Ilola +2

Real-time 3D Gaussian Splatting (3DGS) achieves high rendering quality, but standard rasterization still traverses a globally sorted tile stream that creates long per-tile ranges a…

cs.CV2026

Compressing AI Traffic: Standardized Neural Network Coding of Visual-Token Representations in Split Vision-Language Inference

Reza Heidari, Hamed R. Tavakoli, Juho Kannala

When the visual encoder and the language decoder of a vision-language model (VLM) run on different compute nodes, the intermediate visual-token embeddings become a communicated pay…

cs.CV2026

SplatGuide: Geometric Priors from 3D Gaussians for Pose-Free Novel View Synthesis

Yejun Zhang, Zihan Wang, Xu Ji +8

Generating photorealistic novel views from unposed images requires both 3D geometric understanding and the ability to synthesize unseen content. A natural strategy combines feed-fo…

cs.LG2025

PU: Progressive Precision Update For Efficient Model Distribution

Homayun Afrabandpey, Hamed Rezazadegan Tavakoli

Efficient model distribution is becoming increasingly critical in bandwidth-constrained environments. In this paper, we propose a simple yet effective approach called Progressive P…

cs.CV2024

Efficient NeRF Optimization -- Not All Samples Remain Equally Hard

Juuso Korhonen, Goutham Rangu, Hamed R. Tavakoli +1

We propose an application of online hard sample mining for efficient training of Neural Radiance Fields (NeRF). NeRF models produce state-of-the-art quality for many 3D reconstruct…

cs.HC2024★ 1 cited

UEyes: An Eye-Tracking Dataset across User Interface Types

Yue Jiang, Luis A. Leiva, Paul R. B. Houssel +3

Different types of user interfaces differ significantly in the number of elements and how they are displayed. To examine how such differences affect the way users look at UIs, we c…