activity
20182026
most citedLearned Image Compression with Discretized Gaussian Mixture Likelihoods and Attention Modules

44 citations · 203 across the 51 of their papers we have counts for

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Showing 2025Show all

11 papers · 1 filter

cs.AR2025

Evaluation of GPU Video Encoder for Low-Latency Real-Time 4K UHD Encoding

Kasidis Arunruangsirilert, Jiro Katto

The demand for high-quality, real-time video streaming has grown exponentially, with 4K Ultra High Definition (UHD) becoming the new standard for many applications such as live bro…

cs.NI2025★ 8 cited

Performance Evaluation of Low-Latency Live Streaming of MPEG-DASH UHD video over Commercial 5G NSA/SA Network

Kasidis Arunruangsirilert, Bo Wei, Hang Song +1

5G Standalone (SA) is the goal of the 5G evolution, which aims to provide higher throughput and lower latency than the existing LTE network. One of the main applications of 5G is t…

cs.NI2025

Real-World Performance Evaluations of Low-Band 5G NR/4G LTE 4x4 MIMO on Commercial Smartphones

Pasapong Wongprasert, Kasidis Arunruangsirilert, Jiro Katto

All 3GPP-compliant commercial 5G New Radio (NR)-capable UEs on the market are equipped with 4x4 MIMO support for Mid-Band frequencies (>1.7 GHz) and above, enabling up to rank 4 MI…

cs.NI2025★ 2 cited

Evaluations of High Power User Equipment (HPUE) in Urban Environment

Kasidis Arunruangsirilert, Pasapong Wongprasert, Jiro Katto

While Time Division Duplexing (TDD) 5G New Radio (NR) networks offers higher downlink throughput due to the utilization of the middle frequency band, the uplink performance is nega…

cs.NI2025★ 8 cited

Performance Evaluation of Uplink 256QAM on Commercial 5G New Radio (NR) Networks

Kasidis Arunruangsirilert, Pasapong Wongprasert, Jiro Katto

While Uplink 256QAM (UL-256QAM) has been introduced since 2016 as a part of 3GPP Release 14, the adoption was quite poor as many Radio Access Network (RAN) and User Equipment (UE)…

cs.AR2025

Evaluation of NVENC Split-Frame Encoding (SFE) for UHD Video Transcoding

Kasidis Arunruangsirilert, Jiro Katto

NVIDIA Encoder (NVENC) features in modern NVIDIA GPUs, offer significant advantages over software encoders by providing comparable Rate-Distortion (RD) performance while consuming…

eess.IV2025★ 16 cited

Evaluation of Hardware-based Video Encoders on Modern GPUs for UHD Live-Streaming

Kasidis Arunruangsirilert, Jiro Katto

Many GPUs have incorporated hardware-accelerated video encoders, which allow video encoding tasks to be offloaded from the main CPU and provide higher power efficiency. Over the ye…

eess.IV2025

FlashGMM: Fast Gaussian Mixture Entropy Model for Learned Image Compression

Shimon Murai, Fangzheng Lin, Jiro Katto

High-performance learned image compression codecs require flexible probability models to fit latent representations. Gaussian Mixture Models (GMMs) were proposed to satisfy this de…

eess.IV2025

A Multi-Grid Implicit Neural Representation for Multi-View Videos

Qingyue Ling, Zhengxue Cheng, Donghui Feng +6

Multi-view videos are becoming widely used in different fields, but their high resolution and multi-camera shooting raise significant challenges for storage and transmission. In th…

cs.CV2025

Real-time Video Prediction With Fast Video Interpolation Model and Prediction Training

Shota Hirose, Kazuki Kotoyori, Kasidis Arunruangsirilert +3

Transmission latency significantly affects users' quality of experience in real-time interaction and actuation. As latency is principally inevitable, video prediction can be utiliz…

cs.NI2025★ 6 cited

Performance Analysis of 5G FR2 (mmWave) Downlink 256QAM on Commercial 5G Networks

Kasidis Arunruangsirilert, Pasapong Wongprasert, Jiro Katto

The 5G New Radio (NR) standard introduces new frequency bands allocated in Frequency Range 2 (FR2) to support enhanced Mobile Broadband (eMBB) in congested environments and enables…