ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1912.06348
  4. Cited By
Learned Video Compression via Joint Spatial-Temporal Correlation
  Exploration

Learned Video Compression via Joint Spatial-Temporal Correlation Exploration

13 December 2019
Haojie Liu
Han shen
Lichao Huang
Ming Lu
Tong Chen
Zhan Ma
ArXivPDFHTML

Papers citing "Learned Video Compression via Joint Spatial-Temporal Correlation Exploration"

19 / 19 papers shown
Title
Bi-Directional Deep Contextual Video Compression
Bi-Directional Deep Contextual Video Compression
Xihua Sheng
L. Li
Dong Liu
Shiqi Wang
56
3
0
16 Aug 2024
NVC-1B: A Large Neural Video Coding Model
NVC-1B: A Large Neural Video Coding Model
Xihua Sheng
Chuanbo Tang
Li Li
Dong Liu
Feng Wu
3DV
VLM
50
3
0
28 Jul 2024
Prediction and Reference Quality Adaptation for Learned Video Compression
Prediction and Reference Quality Adaptation for Learned Video Compression
Xihua Sheng
Li Li
Dong Liu
Houqiang Li
42
1
0
20 Jun 2024
Advancing Learned Video Compression with In-loop Frame Prediction
Advancing Learned Video Compression with In-loop Frame Prediction
Ren Yang
Radu Timofte
Luc Van Gool
21
27
0
13 Nov 2022
Hybrid Spatial-Temporal Entropy Modelling for Neural Video Compression
Hybrid Spatial-Temporal Entropy Modelling for Neural Video Compression
Jiahao Li
Bin Li
Yan Lu
33
151
0
13 Jul 2022
Learned Video Compression via Heterogeneous Deformable Compensation
  Network
Learned Video Compression via Heterogeneous Deformable Compensation Network
Huairui Wang
Zhenzhong Chen
Changan Chen
48
9
0
11 Jul 2022
Implicit Neural Video Compression
Implicit Neural Video Compression
Yunfan Zhang
T. V. Rozendaal
Johann Brehmer
Markus Nagel
Taco S. Cohen
49
57
0
21 Dec 2021
Perceptual Learned Video Compression with Recurrent Conditional GAN
Perceptual Learned Video Compression with Recurrent Conditional GAN
Ren Yang
Radu Timofte
Luc Van Gool
22
32
0
07 Sep 2021
Insights from Generative Modeling for Neural Video Compression
Insights from Generative Modeling for Neural Video Compression
Ruihan Yang
Yibo Yang
Joseph Marino
Stephan Mandt
VGen
35
16
0
28 Jul 2021
Spatiotemporal Entropy Model is All You Need for Learned Video
  Compression
Spatiotemporal Entropy Model is All You Need for Learned Video Compression
Zhenhong Sun
Zhiyu Tan
Xiuyu Sun
Fangyi Zhang
Dongyang Li
Yichen Qian
Hao Li
27
10
0
13 Apr 2021
Extending Neural P-frame Codecs for B-frame Coding
Extending Neural P-frame Codecs for B-frame Coding
Reza Pourreza
Taco S. Cohen
46
48
0
30 Mar 2021
Hierarchical Autoregressive Modeling for Neural Video Compression
Hierarchical Autoregressive Modeling for Neural Video Compression
Ruihan Yang
Yibo Yang
Joseph Marino
Stephan Mandt
BDL
VGen
112
46
0
19 Oct 2020
Optical Flow and Mode Selection for Learning-based Video Coding
Optical Flow and Mode Selection for Learning-based Video Coding
Théo Ladune
Pierrick Philippe
W. Hamidouche
Lu Zhang
Olivier Déforges
18
41
0
06 Aug 2020
Learning for Video Compression with Recurrent Auto-Encoder and Recurrent
  Probability Model
Learning for Video Compression with Recurrent Auto-Encoder and Recurrent Probability Model
Ren Yang
Fabian Mentzer
Luc Van Gool
Radu Timofte
18
138
0
24 Jun 2020
Lossy Compression with Distortion Constrained Optimization
Lossy Compression with Distortion Constrained Optimization
T. V. Rozendaal
Guillaume Sautière
Taco S. Cohen
31
13
0
08 May 2020
Feedback Recurrent Autoencoder for Video Compression
Feedback Recurrent Autoencoder for Video Compression
Adam Goliñski
Reza Pourreza
Yang Yang
Guillaume Sautière
Taco S. Cohen
VGen
41
48
0
09 Apr 2020
Video Coding for Machines: A Paradigm of Collaborative Compression and
  Intelligent Analytics
Video Coding for Machines: A Paradigm of Collaborative Compression and Intelligent Analytics
Ling-yu Duan
Jiaying Liu
Wenhan Yang
Tiejun Huang
Wen Gao
33
187
0
10 Jan 2020
Pixel Recurrent Neural Networks
Pixel Recurrent Neural Networks
Aaron van den Oord
Nal Kalchbrenner
Koray Kavukcuoglu
SSeg
GAN
272
2,552
0
25 Jan 2016
Convolutional LSTM Network: A Machine Learning Approach for
  Precipitation Nowcasting
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
Xingjian Shi
Zhourong Chen
Hao Wang
Dit-Yan Yeung
W. Wong
W. Woo
236
7,916
0
13 Jun 2015
1