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20242026
most citedBoosting Neural Representations for Videos with a Conditional Decoder

2 citations · 2 across the 10 of their papers we have counts for

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eess.IV2024

Bidirectional Stereo Image Compression with Cross-Dimensional Entropy Model

Zhening Liu, Xinjie Zhang, Jiawei Shao +2

With the rapid advancement of stereo vision technologies, stereo image compression has emerged as a crucial field that continues to draw significant attention. Previous approaches…

eess.IV2024

Task-Aware Encoder Control for Deep Video Compression

Xingtong Ge, Jixiang Luo, Xinjie Zhang +7

Prior research on deep video compression (DVC) for machine tasks typically necessitates training a unique codec for each specific task, mandating a dedicated decoder per task. In c…

eess.IV2024★ 2 cited

Boosting Neural Representations for Videos with a Conditional Decoder

Xinjie Zhang, Ren Yang, Dailan He +5

Implicit neural representations (INRs) have emerged as a promising approach for video storage and processing, showing remarkable versatility across various video tasks. However, ex…

eess.IV2024

GaussianImage: 1000 FPS Image Representation and Compression by 2D Gaussian Splatting

Xinjie Zhang, Xingtong Ge, Tongda Xu +6

Implicit neural representations (INRs) recently achieved great success in image representation and compression, offering high visual quality and fast rendering speeds with 10-1000…

eess.IV2024

CAMSIC: Content-aware Masked Image Modeling Transformer for Stereo Image Compression

Xinjie Zhang, Shenyuan Gao, Zhening Liu +6

Existing learning-based stereo image codec adopt sophisticated transformation with simple entropy models derived from single image codecs to encode latent representations. However,…