| 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 | 96 | 2023 |
| Learned Image Compression with Mixed Transformer-CNN Architectures J Liu, H Sun, J Katto CVPR 2023, 2023 | 68 | 2023 |
| 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 | 13 | 2021 |
| 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 | 11 | 2020 |
| 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 | 10 | 2022 |
| 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 | 9 | 2023 |
| 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 | 9 | 2023 |
| Semantic segmentation in learned compressed domain J Liu, H Sun, J Katto 2022 Picture Coding Symposium (PCS), 181-185, 2022 | 6 | 2022 |
| 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 | 5 | 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 | 4 | 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 | 1 | 2023 |
| 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 | | 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 |
| 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 | | 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 UniversityVerified email at ynu.ac.jp
