1 citations · 2 across the 17 of their papers we have counts for
4 papers · 1 filter
On the Rate-Distortion-Complexity Trade-offs of Neural Video Coding
Yi-Hsin Chen, Kuan-Wei Ho, Martin Benjak +2
This paper aims to delve into the rate-distortion-complexity trade-offs of modern neural video coding. Recent years have witnessed much research effort being focused on exploring t…
Bridging Compressed Image Latents and Multimodal Large Language Models
Chia-Hao Kao, Cheng Chien, Yu-Jen Tseng +5
This paper presents the first-ever study of adapting compressed image latents to suit the needs of downstream vision tasks that adopt Multimodal Large Language Models (MLLMs). MLLM…
Transformer-based Learned Image Compression for Joint Decoding and Denoising
Yi-Hsin Chen, Kuan-Wei Ho, Shiau-Rung Tsai +4
This work introduces a Transformer-based image compression system. It has the flexibility to switch between the standard image reconstruction and the denoising reconstruction from…
LiDAR Depth Map Guided Image Compression Model
Alessandro Gnutti, Stefano Della Fiore, Mattia Savardi +3
The incorporation of LiDAR technology into some high-end smartphones has unlocked numerous possibilities across various applications, including photography, image restoration, augm…