activity
20182022
most citedDeep Residual Learning for Image Compression

34 citations · 67 across the 15 of their papers we have counts for

collaborators

19 papers

cs.CV2022

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…

eess.IV20221 cited

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…

eess.SP2022

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…

cs.NI2021

Adaptive video transmission using QUBO method and Digital Annealer based on Ising machine

Bo Wei, Hang Song, Jiro Katto

With the dramatically increasing video streaming in the total network traffic, it is critical to develop effective algorithms to promote the content delivery service of high qualit…

eess.IV20211 cited

Learned Video Compression with Residual Prediction and Loop Filter

Chao Liu, Heming Sun, Jiro Katto +2

In this paper, we propose a learned video codec with a residual prediction network (RP-Net) and a feature-aided loop filter (LF-Net). For the RP-Net, we exploit the residual of pre…

eess.IV2021

Fully Neural Network Mode Based Intra Prediction of Variable Block Size

Heming Sun, Lu Yu, Jiro Katto

Intra prediction is an essential component in the image coding. This paper gives an intra prediction framework completely based on neural network modes (NM). Each NM can be regarde…