44 citations · 164 across the 35 of their papers we have counts for
9 papers · 1 filter
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…
Lightweight Stochastic Video Prediction via Hybrid Warping
Kazuki Kotoyori, Shota Hirose, Heming Sun +1
Accurate video prediction by deep neural networks, especially for dynamic regions, is a challenging task in computer vision for critical applications such as autonomous driving, re…
SCP: Spherical-Coordinate-based Learned Point Cloud Compression
Ao Luo, Linxin Song, Keisuke Nonaka +4
In recent years, the task of learned point cloud compression has gained prominence. An important type of point cloud, the spinning LiDAR point cloud, is generated by spinning LiDAR…
Prompt-ICM: A Unified Framework towards Image Coding for Machines with Task-driven Prompts
Ruoyu Feng, Jinming Liu, Xin Jin +3
Image coding for machines (ICM) aims to compress images to support downstream AI analysis instead of human perception. For ICM, developing a unified codec to reduce information red…
Multistage Spatial Context Models for Learned Image Compression
Fangzheng Lin, Heming Sun, Jinming Liu +1
Recent state-of-the-art Learned Image Compression methods feature spatial context models, achieving great rate-distortion improvements over hyperprior methods. However, the autoreg…
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…