no code implementations • 4 Feb 2024 • Xin Jin, Bohan Li, Baao Xie, Wenyao Zhang, Jinming Liu, Ziqiang Li, Tao Yang, Wenjun Zeng
Representation disentanglement may help AI fundamentally understand the real world and thus benefit both discrimination and generation tasks.
no code implementations • 22 Jun 2023 • Bohan Li, Yasheng Sun, Jingxin Dong, Zheng Zhu, Jinming Liu, Xin Jin, Wenjun Zeng
Numerous studies have investigated the pivotal role of reliable 3D volume representation in scene perception tasks, such as multi-view stereo (MVS) and semantic scene completion (SSC).
no code implementations • 20 Jun 2023 • Lianying Yin, Yijun Wang, Tianyu He, Jinming Liu, Wei Zhao, Bohan Li, Xin Jin, Jianxin Lin
In this paper, we present a novel framework (EMoG) to tackle the above challenges with denoising diffusion models: 1) To alleviate the one-to-many problem, we incorporate emotion clues to guide the generation process, making the generation much easier; 2) To model joint correlation, we propose to decompose the difficult gesture generation into two sub-problems: joint correlation modeling and temporal dynamics modeling.
no code implementations • 4 May 2023 • Ruoyu Feng, Jinming Liu, Xin Jin, Xiaohan Pan, Heming Sun, Zhibo Chen
For ICM, developing a unified codec to reduce information redundancy while empowering the compressed features to support various vision tasks is very important, which inevitably faces two core challenges: 1) How should the compression strategy be adjusted based on the downstream tasks?
1 code implementation • 13 Apr 2023 • Tao Yu, Runseng Feng, Ruoyu Feng, Jinming Liu, Xin Jin, Wenjun Zeng, Zhibo Chen
We are also very willing to help everyone share and promote new projects based on our Inpaint Anything (IA).
2 code implementations • CVPR 2023 • Jinming Liu, Heming Sun, Jiro Katto
Most existing LIC methods are Convolutional Neural Networks-based (CNN-based) or Transformer-based, which have different advantages.
Ranked #1 on Image Compression on kodak
1 code implementation • 18 Feb 2023 • Fangzheng Lin, Heming Sun, Jinming Liu, Jiro Katto
The proposed method features a comparable decoding speed to Checkerboard while reaching the RD performance of Autoregressive and even also outperforming Autoregressive.
no code implementations • 3 Sep 2022 • Jinming Liu, Heming Sun, Jiro Katto
Most machine vision tasks (e. g., semantic segmentation) are based on images encoded and decoded by image compression algorithms (e. g., JPEG).
no code implementations • 30 Aug 2022 • Ran Wang, Jinming Liu, Heming Sun, Jiro Katto
Lossless image compression is an essential research field in image compression.
no code implementations • 21 Jun 2022 • Ao Luo, Heming Sun, Jinming Liu, Jiro Katto
Learned Image Compression (LIC) gradually became more and more famous in these years.
no code implementations • 7 Nov 2020 • Jinming Liu, Ke Li, Baolin Song, Li Zhao
On the other hand, some methods based on deep learning also cannot get high accuracy due to problems such as the imbalance of databases.
Micro Expression Recognition Micro-Expression Recognition +1