44 citations · 203 across the 51 of their papers we have counts for
10 papers · 1 filter
Performance Evaluations of C-Band 5G NR FR1 (Sub-6 GHz) Uplink MIMO on Urban Train
Kasidis Arunruangsirilert, Pasapong Wongprasert, Jiro Katto
Due to the recent demand for huge Uplink throughput on Mobile networks driven by the rapid development of social media platforms, UHD 4K/8K video, and VR/AR contents, Uplink MIMO (…
Pensieve 5G: Implementation of RL-based ABR Algorithm for UHD 4K/8K Content Delivery on Commercial 5G SA/NR-DC Network
Kasidis Arunruangsirilert, Bo Wei, Hang Song +1
While the rollout of the fifth-generation mobile network (5G) is underway across the globe with the intention to deliver 4K/8K UHD videos, Augmented Reality (AR), and Virtual Reali…
ABCAS: Adaptive Bound Control of spectral norm as Automatic Stabilizer
Shota Hirose, Shiori Maki, Naoki Wada +2
Spectral Normalization is one of the best methods for stabilizing the training of Generative Adversarial Network. Spectral Normalization limits the gradient of discriminator betwee…
Semantic Segmentation in Learned Compressed Domain
Jinming Liu, Heming Sun, Jiro Katto
Most machine vision tasks (e.g., semantic segmentation) are based on images encoded and decoded by image compression algorithms (e.g., JPEG). However, these decoded images in the p…
Learned Lossless Image Compression With Combined Autoregressive Models And Attention Modules
Ran Wang, Jinming Liu, Heming Sun +1
Lossless image compression is an essential research field in image compression. Recently, learning-based image compression methods achieved impressive performance compared with tra…
Streaming-capable High-performance Architecture of Learned Image Compression Codecs
Fangzheng Lin, Heming Sun, Jiro Katto
Learned image compression allows achieving state-of-the-art accuracy and compression ratios, but their relatively slow runtime performance limits their usage. While previous attemp…
Memory-Efficient Learned Image Compression with Pruned Hyperprior Module
Ao Luo, Heming Sun, Jinming Liu +1
Learned Image Compression (LIC) gradually became more and more famous in these years. The hyperprior-module-based LIC models have achieved remarkable rate-distortion performance. H…
QuDASH: Quantum-inspired rate adaptation approach for DASH video streaming
Bo Wei, Hang Song, Makoto Nakamura +3
Internet traffic is dramatically increasing with the development of network technologies and video streaming traffic accounts for large amount within the total traffic, which revea…
Q-LIC: Quantizing Learned Image Compression with Channel Splitting
Heming Sun, Lu Yu, Jiro Katto
Learned image compression (LIC) has reached a comparable coding gain with traditional hand-crafted methods such as VVC intra. However, the large network complexity prohibits the us…
RSSI-CSI Measurement and Variation Mitigation with Commodity WiFi Device
Bo Wei, Hang Song, Jiro Katto +1
Owing to the plentiful information released by the commodity devices, WiFi signals have been widely studied for various wireless sensing applications. In many works, both received…