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Image coding for machines: an end-to-end learned approach
v1v2 (latest)

Image coding for machines: an end-to-end learned approach

IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2021
23 August 2021
Nam Le
Honglei Zhang
Francesco Cricri
Ramin Ghaznavi-Youvalari
Esa Rahtu
ArXiv (abs)PDFHTML

Papers citing "Image coding for machines: an end-to-end learned approach"

38 / 38 papers shown
Title
Diff-ICMH: Harmonizing Machine and Human Vision in Image Compression with Generative Prior
Diff-ICMH: Harmonizing Machine and Human Vision in Image Compression with Generative Prior
Ruoyu Feng
Y. Qi
Jinming Liu
Yixin Gao
Xin Li
Xin Jin
Zhibo Chen
DiffM
100
0
0
27 Nov 2025
Training-Free Adaptive Quantization for Variable Rate Image Coding for Machines
Training-Free Adaptive Quantization for Variable Rate Image Coding for Machines
Yui Tatsumi
Ziyue Zeng
Hiroshi Watanabe
MQ
145
0
0
08 Nov 2025
NeuCo-Bench: A Novel Benchmark Framework for Neural Embeddings in Earth Observation
NeuCo-Bench: A Novel Benchmark Framework for Neural Embeddings in Earth Observation
Rikard Vinge
Isabelle Wittmann
Jannik Schneider
Michael Marszalek
Luis Gilch
Thomas Brunschwiler
C. Albrecht
132
1
0
19 Oct 2025
Explicit Residual-Based Scalable Image Coding for Humans and Machines
Explicit Residual-Based Scalable Image Coding for Humans and Machines
Yui Tatsumi
Ziyue Zeng
Hiroshi Watanabe
130
3
0
24 Jun 2025
Image Coding for Machines via Feature-Preserving Rate-Distortion Optimization
Image Coding for Machines via Feature-Preserving Rate-Distortion Optimization
Samuel Fernández-Menduiña
Eduardo Pavez
Antonio Ortega
336
1
0
03 Apr 2025
Guided Diffusion for the Extension of Machine Vision to Human Visual Perception
Guided Diffusion for the Extension of Machine Vision to Human Visual Perception
Takahiro Shindo
Yui Tatsumi
Taiju Watanabe
Hiroshi Watanabe
DiffMVLM
209
2
0
23 Mar 2025
Unified Coding for Both Human Perception and Generalized Machine Analytics with CLIP Supervision
Unified Coding for Both Human Perception and Generalized Machine Analytics with CLIP SupervisionAAAI Conference on Artificial Intelligence (AAAI), 2025
Kangsheng Yin
Quan Liu
Xuelin Shen
Yulin He
Wenhan Yang
Shiqi Wang
VLM
299
3
0
08 Jan 2025
An Efficient Adaptive Compression Method for Human Perception and Machine Vision Tasks
An Efficient Adaptive Compression Method for Human Perception and Machine Vision Tasks
Lei Liu
Zhenghao Chen
Zhihao Hu
Dong Xu
240
5
0
08 Jan 2025
SMIC: Semantic Multi-Item Compression based on CLIP dictionary
SMIC: Semantic Multi-Item Compression based on CLIP dictionary
Tom Bachard
Thomas Maugey
233
0
0
06 Dec 2024
DT-JRD: Deep Transformer based Just Recognizable Difference Prediction
  Model for Video Coding for Machines
DT-JRD: Deep Transformer based Just Recognizable Difference Prediction Model for Video Coding for Machines
Junqi Liu
Yun Zhang
Xiaoqi Wang
Xu Long
Sam Kwong
262
0
0
14 Nov 2024
Delta-ICM: Entropy Modeling with Delta Function for Learned Image
  Compression
Delta-ICM: Entropy Modeling with Delta Function for Learned Image CompressionIEEE International Conference on Consumer Electronics (ICCE), 2024
Takahiro Shindo
Taiju Watanabe
Yui Tatsumi
Hiroshi Watanabe
294
5
0
10 Oct 2024
All-in-One Image Coding for Joint Human-Machine Vision with Multi-Path
  Aggregation
All-in-One Image Coding for Joint Human-Machine Vision with Multi-Path AggregationNeural Information Processing Systems (NeurIPS), 2024
Xu Zhang
Peiyao Guo
Ming Lu
Zhan Ma
265
8
0
29 Sep 2024
Bridging Compressed Image Latents and Multimodal Large Language Models
Bridging Compressed Image Latents and Multimodal Large Language Models
Chia-Hao Kao
Cheng Chien
Yu-Jen Tseng
Yi-Hsin Chen
Alessandro Gnutti
Shao-Yuan Lo
Wen-Hsiao Peng
Riccardo Leonardi
345
5
0
29 Jul 2024
Rate-Distortion-Cognition Controllable Versatile Neural Image
  Compression
Rate-Distortion-Cognition Controllable Versatile Neural Image Compression
Jinming Liu
Ruoyu Feng
Yunpeng Qi
Qiuyu Chen
Zhibo Chen
Wenjun Zeng
Xin Jin
293
12
0
16 Jul 2024
Rethinking Learned Image Compression: Context is All You Need
Rethinking Learned Image Compression: Context is All You Need
Jixiang Luo
306
2
0
16 Jul 2024
Coding for Intelligence from the Perspective of Category
Coding for Intelligence from the Perspective of Category
Wenhan Yang
Zixuan Hu
Lilang Lin
Jiaying Liu
Ling-Yu Duan
AI4CE
506
1
0
01 Jul 2024
Competitive Learning for Achieving Content-specific Filters in Video
  Coding for Machines
Competitive Learning for Achieving Content-specific Filters in Video Coding for Machines
Honglei Zhang
Jukka I. Ahonen
Nam Le
Ruiying Yang
Francesco Cricri
132
2
0
18 Jun 2024
Towards Point Cloud Compression for Machine Perception: A Simple and
  Strong Baseline by Learning the Octree Depth Level Predictor
Towards Point Cloud Compression for Machine Perception: A Simple and Strong Baseline by Learning the Octree Depth Level Predictor
Lei Liu
Zhihao Hu
Zheng-wei Chen
3DPC
274
4
0
02 Jun 2024
Scalable Image Coding for Humans and Machines Using Feature Fusion
  Network
Scalable Image Coding for Humans and Machines Using Feature Fusion NetworkIEEE International Workshop on Multimedia Signal Processing (MMSP), 2024
Takahiro Shindo
Taiju Watanabe
Yui Tatsumi
Hiroshi Watanabe
426
10
0
15 May 2024
A Perspective on Deep Vision Performance with Standard Image and Video
  Codecs
A Perspective on Deep Vision Performance with Standard Image and Video Codecs
Christoph Reich
Oliver Hahn
Zorah Lähner
Stefan Roth
Biplob K. Debnath
232
2
0
18 Apr 2024
Channel-wise Feature Decorrelation for Enhanced Learned Image
  Compression
Channel-wise Feature Decorrelation for Enhanced Learned Image Compression
Farhad Pakdaman
Moncef Gabbouj
155
4
0
16 Mar 2024
Image Coding for Machines with Edge Information Learning Using Segment
  Anything
Image Coding for Machines with Edge Information Learning Using Segment Anything
Takahiro Shindo
Kein Yamada
Taiju Watanabe
Hiroshi Watanabe
249
21
0
07 Mar 2024
Scalable Human-Machine Point Cloud Compression
Scalable Human-Machine Point Cloud Compression
Mateen Ulhaq
Ivan V. Bajić
198
3
0
19 Feb 2024
Generative Visual Compression: A Review
Generative Visual Compression: A Review
Bo Chen
Shanzhi Yin
Peilin Chen
Shiqi Wang
Yan Ye
196
15
0
03 Feb 2024
NN-VVC: Versatile Video Coding boosted by self-supervisedly learned
  image coding for machines
NN-VVC: Versatile Video Coding boosted by self-supervisedly learned image coding for machines
Jukka I. Ahonen
Nam Le
Honglei Zhang
A. Hallapuro
Francesco Cricri
Hamed R. Tavakoli
M. Hannuksela
Esa Rahtu
165
2
0
19 Jan 2024
Bridging the gap between image coding for machines and humans
Bridging the gap between image coding for machines and humans
Nam Le
Honglei Zhang
Francesco Cricri
Ramin Ghaznavi-Youvalari
Hamed R. Tavakoli
Emre B. Aksu
M. Hannuksela
Esa Rahtu
276
6
0
19 Jan 2024
Differentially Encoded Observation Spaces for Perceptive Reinforcement
  Learning
Differentially Encoded Observation Spaces for Perceptive Reinforcement LearningIEEE International Conference on Robotics and Automation (ICRA), 2023
Lev Grossman
Brian Plancher
OffRL
174
1
0
03 Oct 2023
Image Coding for Machines with Object Region Learning
Image Coding for Machines with Object Region LearningConsumer Communications and Networking Conference (CCNC), 2023
Takahiro Shindo
Taiju Watanabe
Kein Yamada
Hiroshi Watanabe
142
11
0
27 Aug 2023
Prompt-ICM: A Unified Framework towards Image Coding for Machines with
  Task-driven Prompts
Prompt-ICM: A Unified Framework towards Image Coding for Machines with Task-driven Prompts
Ruoyu Feng
Jinming Liu
Xin Jin
Xiaohan Pan
Heming Sun
Zhibo Chen
VLM
243
16
0
04 May 2023
Semantically Structured Image Compression via Irregular Group-Based Decoupling
Semantically Structured Image Compression via Irregular Group-Based DecouplingIEEE International Conference on Computer Vision (ICCV), 2023
V. Sheoran
Yixin Gao
Shreyansh Joshi
Tanisha R. Bhayani
Zhibo Chen
471
22
0
04 May 2023
Compute-Efficient Deep Learning: Algorithmic Trends and Opportunities
Compute-Efficient Deep Learning: Algorithmic Trends and OpportunitiesJournal of machine learning research (JMLR), 2022
Brian Bartoldson
B. Kailkhura
Davis W. Blalock
284
64
0
13 Oct 2022
Privacy-Preserving Feature Coding for Machines
Privacy-Preserving Feature Coding for MachinesPicture Coding Symposium (PCS), 2022
Bardia Azizian
Ivan V. Bajić
157
5
0
03 Oct 2022
Image Coding for Machines with Omnipotent Feature Learning
Image Coding for Machines with Omnipotent Feature LearningEuropean Conference on Computer Vision (ECCV), 2022
Ruoyu Feng
Xin Jin
Zongyu Guo
Runsen Feng
Yixin Gao
Tianyu He
Zhizheng Zhang
Simeng Sun
Zhibo Chen
VLM
260
56
0
05 Jul 2022
Feature Compression for Rate Constrained Object Detection on the Edge
Feature Compression for Rate Constrained Object Detection on the EdgeConference on Multimedia Information Processing and Retrieval (MIPR), 2022
Zhongzheng Yuan
Samyak Rawlekar
S. Garg
E. Erkip
Yao Wang
213
14
0
15 Apr 2022
Fostering the Robustness of White-Box Deep Neural Network Watermarks by
  Neuron Alignment
Fostering the Robustness of White-Box Deep Neural Network Watermarks by Neuron AlignmentIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2021
Fangqi Li
Shi-Lin Wang
Yun Zhu
98
13
0
28 Dec 2021
Towards End-to-End Image Compression and Analysis with Transformers
Towards End-to-End Image Compression and Analysis with Transformers
Yuanchao Bai
Xu Yang
Xianming Liu
Junjun Jiang
Yaowei Wang
Xiangyang Ji
Wen Gao
ViT
215
62
0
17 Dec 2021
Video Coding for Machine: Compact Visual Representation Compression for
  Intelligent Collaborative Analytics
Video Coding for Machine: Compact Visual Representation Compression for Intelligent Collaborative Analytics
Wenhan Yang
Haofeng Huang
Yueyu Hu
Ling-yu Duan
Jiaying Liu
215
27
0
18 Oct 2021
Learned Image Coding for Machines: A Content-Adaptive Approach
Learned Image Coding for Machines: A Content-Adaptive ApproachIEEE International Conference on Multimedia and Expo (ICME), 2021
Nam Le
Honglei Zhang
Francesco Cricri
Ramin Ghaznavi-Youvalari
Hamed R. Tavakoli
Esa Rahtu
206
50
0
23 Aug 2021
1