activity
20162023
most citedHybrid Spatial-Temporal Entropy Modelling for Neural Video Compression

197 citations · 278 across the 9 of their papers we have counts for

collaborators

9 papers

eess.IV2023★ 24 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…

cs.CL2022★ 2 cited

Improving Chinese Spelling Check by Character Pronunciation Prediction: The Effects of Adaptivity and Granularity

Jiahao Li, Quan Wang, Zhendong Mao +3

Chinese spelling check (CSC) is a fundamental NLP task that detects and corrects spelling errors in Chinese texts. As most of these spelling errors are caused by phonetic similarit…

eess.IV2022★ 197 cited

Hybrid Spatial-Temporal Entropy Modelling for Neural Video Compression

Jiahao Li, Bin Li, Yan Lu

For neural video codec, it is critical, yet challenging, to design an efficient entropy model which can accurately predict the probability distribution of the quantized latent repr…

cs.CV2022★ 3 cited

Neural Compression-Based Feature Learning for Video Restoration

Cong Huang, Jiahao Li, Bin Li +2

How to efficiently utilize the temporal features is crucial, yet challenging, for video restoration. The temporal features usually contain various noisy and uncorrelated informatio…

cs.LG2020★ 1 cited

Adaptive Generation Model: A New Ensemble Method

Jiacheng Ruan, Jiahao Li

As a common method in Machine Learning, Ensemble Method is used to train multiple models from a data set and obtain better results through certain combination strategies. Stacking…

cs.CV2020

STC-Flow: Spatio-temporal Context-aware Optical Flow Estimation

Xiaolin Song, Yuyang Zhao, Jingyu Yang

In this paper, we propose a spatio-temporal contextual network, STC-Flow, for optical flow estimation. Unlike previous optical flow estimation approaches with local pyramid feature…

cs.CV2019★ 12 cited

Iterative Distance-Aware Similarity Matrix Convolution with Mutual-Supervised Point Elimination for Efficient Point Cloud Registration

Jiahao Li, Changhao Zhang, Ziyao Xu +2

In this paper, we propose a novel learning-based pipeline for partially overlapping 3D point cloud registration. The proposed model includes an iterative distance-aware similarity…

q-fin.CP2018

Constructing Financial Sentimental Factors in Chinese Market Using Natural Language Processing

Junfeng Jiang, Jiahao Li

In this paper, we design an integrated algorithm to evaluate the sentiment of Chinese market. Firstly, with the help of the web browser automation, we crawl a lot of news and comme…

cs.MM2016★ 39 cited

Efficient Multiple Line-Based Intra Prediction for HEVC

Jiahao Li, Bin Li, Jizheng Xu +1

Traditional intra prediction usually utilizes the nearest reference line to generate the predicted block when considering strong spatial correlation. However, this kind of single l…