activity
20222024
most citedHybrid Spatial-Temporal Entropy Modelling for Neural Video Compression

197 citations · 241 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2024

Uncertainty-Aware Deep Video Compression with Ensembles

Wufei Ma, Jiahao Li, Bin Li +1

Deep learning-based video compression is a challenging task, and many previous state-of-the-art learning-based video codecs use optical flows to exploit the temporal correlation be…

cs.CV202318 cited

DMV3D: Denoising Multi-View Diffusion using 3D Large Reconstruction Model

Yinghao Xu, Hao Tan, Fujun Luan +8

We propose \textbf{DMV3D}, a novel 3D generation approach that uses a transformer-based 3D large reconstruction model to denoise multi-view diffusion. Our reconstruction model inco…

cs.CV2023

DAGrid: Directed Accumulator Grid

Hang Zhang, Renjiu Hu, Xiang Chen +3

Recent research highlights that the Directed Accumulator (DA), through its parametrization of geometric priors into neural networks, has notably improved the performance of medical…

eess.IV20231 cited

Neural Video Compression with Diverse Contexts

Jiahao Li, Bin Li, Yan Lu

For any video codecs, the coding efficiency highly relies on whether the current signal to be encoded can find the relevant contexts from the previous reconstructed signals. Tradit…

cs.SE20231 cited

Metamorphic Testing for Smart Contract Vulnerabilities Detection

Jiahao Li

Despite the rapid growth of smart contracts, they are suffering numerous security vulnerabilities due to the absence of reliable development and testing. In this article, we apply…

eess.IV202324 cited

EVC: Towards Real-Time Neural Image Compression with Mask Decay

Guo-Hua Wang, Jiahao Li, Bin Li +1

Neural image compression has surpassed state-of-the-art traditional codecs (H.266/VVC) for rate-distortion (RD) performance, but suffers from large complexity and separate models f…