Learned Image Compression with Mixed Transformer-CNN Architectures J Liu, H Sun, J Katto
CVPR 2023, 2023
222 2023 Inpaint anything: Segment anything meets image inpainting T Yu, R Feng, R Feng, J Liu, X Jin, W Zeng, Z Chen
arXiv preprint arXiv:2304.06790, 2023
207 2023 Improving multiple machine vision tasks in the compressed domain J Liu, H Sun, J Katto
2022 26th International Conference on Pattern Recognition (ICPR), 331-337, 2022
22 2022 Learning in compressed domain for faster machine vision tasks J Liu, H Sun, J Katto
2021 International Conference on Visual Communications and Image Processing …, 2021
19 2021 Emog: Synthesizing emotive co-speech 3d gesture with diffusion model L Yin, Y Wang, T He, J Liu, W Zhao, B Li, X Jin, J Lin
arXiv preprint arXiv:2306.11496, 2023
15 2023 A multi-stream convolutional neural network for micro-expression recognition using optical flow and evm J Liu, K Li, B Song, L Zhao
arXiv preprint arXiv:2011.03756, 2020
14 2020 Multistage spatial context models for learned image compression F Lin, H Sun, J Liu, J Katto
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023
13 2023 Semantic segmentation in learned compressed domain J Liu, H Sun, J Katto
2022 Picture Coding Symposium (PCS), 181-185, 2022
13 2022 Prompt-icm: A unified framework towards image coding for machines with task-driven prompts R Feng, J Liu, X Jin, X Pan, H Sun, Z Chen
arXiv preprint arXiv:2305.02578, 2023
12 2023 Memory-efficient learned image compression with pruned hyperprior module A Luo, H Sun, J Liu, J Katto
2022 IEEE International Conference on Image Processing (ICIP), 3061-3065, 2022
11 2022 Closed-Loop Unsupervised Representation Disentanglement with X Jin, B Li, B Xie, W Zhang, J Liu, Z Li, T Yang, W Zeng
ECCV 2024, 2024
6 2024 Composable Image Coding for Machine via Task-oriented Internal Adaptor and External Prior J Liu, X Jin, R Feng, Z Chen, W Zeng
2023 IEEE International Conference on Visual Communications and Image …, 2023
6 2023 One at a time: Multi-step volumetric probability distribution diffusion for depth estimation B Li, J Dong, Y Wang, J Liu, L Yin, W Zhao, Z Zhu, X Jin, W Zeng
arXiv preprint arXiv:2306.12681, 2023
5 2023 Rate-Distortion-Cognition Controllable Versatile Neural Image Compression J Liu, R Feng, Y Qi, Q Chen, Z Chen, W Zeng, X Jin
ECCV 2024, 2024
3 2024 One at a Time: Progressive Multi-Step Volumetric Probability Learning for Reliable 3D Scene Perception B Li, Y Sun, J Dong, Z Zhu, J Liu, X Jin, W Zeng
Proceedings of the AAAI Conference on Artificial Intelligence 38 (4), 3028-3036, 2024
3 2024 Tell Codec What Worth Compressing: Semantically Disentangled Image Coding for Machine with LMMs J Liu, Y Wei, J Lin, S Zhao, H Sun, Z Chen, W Zeng, X Jin
2024 IEEE International Conference on Visual Communications and Image …, 2024
2024 PTS-LIC: Pruning Threshold Searching for Lightweight Learned Image Compression A Luo, H Sun, J Liu, F Lin, J Katto
2023 IEEE International Conference on Visual Communications and Image …, 2023
2023 Learned Lossless Image Compression With Combined Autoregressive Models And Attention Modules R Wang, J Liu, H Sun, J Katto
arXiv preprint arXiv:2208.13974, 2022
2022 
Heming SunAssociate Professor, Faculty of Engineering, Yokohama National UniversityDirección de correo verificada de ynu.ac.jp