no code implementations • 7 Apr 2024 • Qingshan Hou, Shuai Cheng, Peng Cao, Jinzhu Yang, Xiaoli Liu, Osmar R. Zaiane, Yih Chung Tham
Nevertheless, the effectiveness of CL is highly dependent on the quality of the positive and negative sample pairs.
no code implementations • 8 Mar 2024 • Kuo Xu, Maoyu Wang, Muyu Wang, Lincong Feng, Tianhui Zhang, Xiaoli Liu
Moreover, background noise frequently arises in high-resolution texture synthesis, limiting the practical application of these generation technologies. In this work, we propose a high-resolution and high-fidelity texture restoration technique that uses the rough texture as the initial input to enhance the consistency between the synthetic texture and the initial texture, thereby overcoming the issues of aliasing and blurring caused by the user's structure simplification operations.
3 code implementations • 23 Dec 2023 • Haonan Wang, Peng Cao, Xiaoli Liu, Jinzhu Yang, Osmar Zaiane
Hence, both modules establish a learnable connection to solve the semantic gaps between the encoder and the decoder, which leads to a high-performance segmentation model for medical images.
no code implementations • 19 Dec 2023 • Hui Wu, Yi Gan, Feng Yuan, Jing Ma, Wei Zhu, Yutao Xu, Hong Zhu, Yuhua Zhu, Xiaoli Liu, Jinghui Gu
A customized Scaled-Dot-Product-Attention kernel is designed to match our fusion policy based on the segment KV cache solution.
no code implementations • 16 Nov 2023 • Lincong Feng, Muyu Wang, Maoyu Wang, Kuo Xu, Xiaoli Liu
In the second stage, we concentrate on fine-tuning the geometry and optimizing the texture, thereby achieving a more refined 3D object.
1 code implementation • 21 Jun 2023 • Chengxu Duan, Zhicheng Zhang, Xiaoli Liu, Yonghao Dang, Jianqin Yin
Specifically, we introduce a novel adaptable scheme that facilitates the attack to suit the scale of the target pose and two physical constraints to enhance the naturalness of the adversarial example.
1 code implementation • 17 Jan 2023 • Qingshan Hou, Peng Cao, Jiaqi Wang, Xiaoli Liu, Jinzhu Yang, Osmar R. Zaiane
Most of the existing image enhancement methods mainly focus on improving the image quality by leveraging the guidance of high-quality images, which is difficult to be collected in medical applications.
1 code implementation • 11 Jan 2023 • Zhiqiang Shen, Peng Cao, Hua Yang, Xiaoli Liu, Jinzhu Yang, Osmar R. Zaiane
Combining the strengths of UMIX with CMT, UCMT can retain model disagreement and enhance the quality of pseudo labels for the co-training segmentation.
1 code implementation • 4 Apr 2022 • Jiajun Fu, Fuxing Yang, Yonghao Dang, Xiaoli Liu, Jianqin Yin
The key of DSTD-GC is constrained dynamic correlation modeling, which explicitly parameterizes the common static constraints as a spatial/temporal vanilla adjacency matrix shared by all frames/joints and dynamically extracts correspondence variances for each frame/joint with an adjustment modeling function.
1 code implementation • 23 Jan 2022 • Xiaoli Liu, Jianqin Yin, Di Guo, Huaping Liu
Next, we build a bi-directional semantic graph for the teacher network and a single-directional semantic graph for the student network to model rich ASCK among partial videos.
no code implementations • 16 Jun 2021 • Jacky Cao, Kit-Yung Lam, Lik-Hang Lee, Xiaoli Liu, Pan Hui, Xiang Su
Mobile Augmented Reality (MAR) integrates computer-generated virtual objects with physical environments for mobile devices.
3 code implementations • 22 Mar 2021 • Zuozhuo Dai, Guangyuan Wang, Weihao Yuan, Xiaoli Liu, Siyu Zhu, Ping Tan
Thus, our method can solve the problem of cluster inconsistency and be applicable to larger data sets.
Ranked #1 on Unsupervised Person Re-Identification on PersonX
no code implementations • 27 Oct 2020 • Xiaoli Liu, Yang Xu, Jiali Li, Xuanwei Ong, Salwa Ali Ibrahim, Tonio Buonassisi, Xiaonan Wang
Deep neural network is further applied to develop regression model which demonstrated the well performed prediction on both the original and generated data with a similar distribution.
no code implementations • 11 Oct 2020 • Xiaoli Liu, Jianqin Yin
Predicting future human motion is critical for intelligent robots to interact with humans in the real world, and human motion has the nature of multi-granularity.
1 code implementation • 25 May 2020 • Xiaoli Liu, Jianqin Yin, Huaping Liu, Jun Liu
In contrast to prior works, we improve the multi-order modeling ability of human motion systems for more accurate predictions by building a deep state-space model (DeepSSM).
no code implementations • 6 May 2020 • Wanling Gao, Fei Tang, Jianfeng Zhan, Xu Wen, Lei Wang, Zheng Cao, Chuanxin Lan, Chunjie Luo, Xiaoli Liu, Zihan Jiang
We formalize a real-world application scenario as a Directed Acyclic Graph-based model and propose the rules to distill it into a permutation of essential AI and non-AI tasks, which we call a scenario benchmark.
no code implementations • 28 Jan 2020 • Xiaoli Liu, Pan Hu, Zhi Mao, Po-Chih Kuo, Peiyao Li, Chao Liu, Jie Hu, Deyu Li, Desen Cao, Roger G. Mark, Leo Anthony Celi, Zhengbo Zhang, Feihu Zhou
This study aims to develop an interpretable and generalizable model for early mortality prediction in elderly patients with MODS.
no code implementations • 13 Dec 2019 • Francesco Concas, Julien Mineraud, Eemil Lagerspetz, Samu Varjonen, Xiaoli Liu, Kai Puolamäki, Petteri Nurmi, Sasu Tarkoma
Periodic re-calibration can improve the accuracy of low-cost sensors, particularly with machine-learning-based calibration, which has shown great promise due to its capability to calibrate sensors in-field.
no code implementations • 15 Oct 2019 • Xiaoli Liu, Jianqin Yin, Jin Liu, Pengxiang Ding, Jun Liu, Huaping Liu
And the global temporal co-occurrence features represent the co-occurrence relationship that different subsequences in a complex motion sequence are appeared simultaneously, which can be obtained automatically with our proposed TrajectoryNet by reorganizing the temporal information as the depth dimension of the input tensor.
no code implementations • arXiv:1909.01818 2019 • Xiaoli Liu, Jianqin Yin, Huaping Liu, Yilong Yin
Specifically, a skeletal representation is proposed by transforming the joint coordinate sequence into an image sequence, which can model the different correlations of different joints.
Ranked #1 on Pose Prediction on Filtered NTU RGB+D
no code implementations • 10 Jul 2019 • Andre Goncalves, Xiaoli Liu, Arindam Banerjee
Alternating Direction Method of Multipliers (ADMM) has become a widely used optimization method for convex problems, particularly in the context of data mining in which large optimization problems are often encountered.
no code implementations • ICLR 2019 • Haihao Shen, Jiong Gong, Xiaoli Liu, Guoming Zhang, Ge Jin, and Eric Lin
High throughput and low latency inference of deep neural networks are critical for the deployment of deep learning applications.
1 code implementation • 4 May 2018 • Jiong Gong, Haihao Shen, Guoming Zhang, Xiaoli Liu, Shane Li, Ge Jin, Niharika Maheshwari, Evarist Fomenko, Eden Segal
High throughput and low latency inference of deep neural networks are critical for the deployment of deep learning applications.