1 code implementation • 17 Jan 2025 • Xigui Li, Yuanye Zhou, Feiyang Xiao, Xin Guo, Yichi Zhang, Chen Jiang, Jianchao Ge, Xiansheng Wang, Qimeng Wang, Taiwei Zhang, Chensen Lin, Yuan Cheng, Yuan Qi
Although clinical practice is usually based on individual factors and morphological features of the aneurysm, its pathophysiology and hemodynamic mechanisms remain controversial.
no code implementations • 16 Nov 2024 • Haobin Zhou, Bowen Liu, Taoming Guo, Hanbin Ma, Chen Jiang
The demand for high-quality neurostimulation, driven by the development of brain-computer interfaces, has outpaced the capabilities of passive microelectrode-arrays, which are limited by channel-count and biocompatibility.
no code implementations • 9 Nov 2024 • Zhaorui Tan, Xi Yang, Tan Pan, Tianyi Liu, Chen Jiang, Xin Guo, Qiufeng Wang, Anh Nguyen, Yuan Qi, Kaizhu Huang, Yuan Cheng
We validate the feasibility and benefits of learning a personalized ${X}_h$, showing that this representation is highly generalizable and transferable across various multi-modal medical tasks.
no code implementations • 26 Sep 2024 • Chao Li, Chen Jiang, Xiaolong Liu, Jun Zhao, Guoxin Wang
In this paper, we introduce a novel approach for multilingual visual text creation, named JoyType, designed to maintain the font style of text during the image generation process.
no code implementations • 17 Sep 2024 • Chen Jiang, Allie Luo, Martin Jagersand
In this paper, we perform robot manipulation activities in real-world environments with language contexts by integrating a compact referring image segmentation model into the robot's perception module.
no code implementations • 28 May 2024 • Tianhao Zhang, Zhexiao Lin, Zhecheng Sheng, Chen Jiang, Dongyeop Kang
Recent methods that utilize stochastic processes to capture the intrinsic dynamics of sequences have shown superior performance in generative modeling.
no code implementations • 22 Apr 2024 • Xuzheng Yu, Chen Jiang, Xingning Dong, Tian Gan, Ming Yang, Qingpei Guo
In particular, text-video retrieval, which aims to find the top matching videos given text descriptions from a vast video corpus, is an essential function, the primary challenge of which is to bridge the modality gap.
no code implementations • 9 Jan 2024 • Xuzheng Yu, Chen Jiang, Wei zhang, Tian Gan, Linlin Chao, Jianan Zhao, Yuan Cheng, Qingpei Guo, Wei Chu
With the explosive growth of video data in real-world applications, a comprehensive representation of videos becomes increasingly important.
no code implementations • 28 Dec 2023 • Zhecheng Sheng, Tianhao Zhang, Chen Jiang, Dongyeop Kang
In summary, we present a novel Brownian bridge coherence metric capable of measuring both local and global text coherence, while circumventing the need for end-to-end model training.
no code implementations • 17 Nov 2023 • Yichi Zhang, Shiyao Hu, Sijie Ren, Chen Jiang, Yuan Cheng, Yuan Qi
The Segment Anything Model (SAM) has recently emerged as a groundbreaking foundation model for prompt-driven image segmentation tasks.
no code implementations • 20 Sep 2023 • Chen Jiang, Kaiming Huang, Sifeng He, Xudong Yang, Wei zhang, Xiaobo Zhang, Yuan Cheng, Lei Yang, Qing Wang, Furong Xu, Tan Pan, Wei Chu
SSAN is based on two newly proposed modules in video retrieval: (1) An efficient Self-supervised Keyframe Extraction (SKE) module to reduce redundant frame features, (2) A robust Similarity Pattern Detection (SPD) module for temporal alignment.
1 code implementation • 20 Sep 2023 • Chen Jiang, Hong Liu, Xuzheng Yu, Qing Wang, Yuan Cheng, Jia Xu, Zhongyi Liu, Qingpei Guo, Wei Chu, Ming Yang, Yuan Qi
We thereby present a new Triplet Partial Margin Contrastive Learning (TPM-CL) module to construct partial order triplet samples by automatically generating fine-grained hard negatives for matched text-video pairs.
Ranked #4 on
Video Retrieval
on MSR-VTT-1kA
no code implementations • 17 Sep 2023 • Chen Jiang, Yuchen Yang, Martin Jagersand
To generate high-quality segmentation predictions from referring expressions, we propose CLIPUNetr - a new CLIP-driven referring expression segmentation network.
no code implementations • 25 Aug 2023 • Chao Wu, Peng Chen, Baiqiao Yin, Zijuan Lin, Chen Jiang, Di Yu, Changhong Zou, Chunwang Lui
Social networks exhibit a complex graph-like structure due to the uncertainty surrounding potential collaborations among participants.
1 code implementation • ICCV 2023 • QiHao Zhao, Chen Jiang, Wei Hu, Fan Zhang, Jun Liu
In the analysis and ablation study, we demonstrate that our method compared with previous work can effectively increase the diversity of experts, significantly reduce the variance of the model, and improve recognition accuracy.
Ranked #5 on
Long-tail Learning
on CIFAR-10-LT (ρ=50)
1 code implementation • CVPR 2023 • Tan Pan, Furong Xu, Xudong Yang, Sifeng He, Chen Jiang, Qingpei Guo, Feng Qian Xiaobo Zhang, Yuan Cheng, Lei Yang, Wei Chu
For traditional model upgrades, the old model will not be replaced by the new one until the embeddings of all the images in the database are re-computed by the new model, which takes days or weeks for a large amount of data.
no code implementations • 3 Mar 2023 • YiWei Chen, Chen Jiang, Yu Pan
Single-Photon Image Super-Resolution (SPISR) aims to recover a high-resolution volumetric photon counting cube from a noisy low-resolution one by computational imaging algorithms.
2 code implementations • 23 Nov 2022 • Sifeng He, Yue He, Minlong Lu, Chen Jiang, Xudong Yang, Feng Qian, Xiaobo Zhang, Lei Yang, Jiandong Zhang
Previous methods typically start from frame-to-frame similarity matrix generated by cosine similarity between frame-level features of the input video pair, and then detect and refine the boundaries of copied segments on similarity matrix under temporal constraints.
3 code implementations • 15 Aug 2022 • Hong Peng, Chen Jiang, Jing Cheng, Minghui Zhang, Shanshan Wang, Dong Liang, Qiegen Liu
At the prior learning stage, we first construct a large Hankel matrix from k-space data, then extract multiple structured k-space patches from the large Hankel matrix to capture the internal distribution among different patches.
1 code implementation • 8 May 2022 • Zongjiang Tu, Die Liu, Xiaoqing Wang, Chen Jiang, Pengwen Zhu, Minghui Zhang, Shanshan Wang, Dong Liang, Qiegen Liu
Deep learning based parallel imaging (PI) has made great progresses in recent years to accelerate magnetic resonance imaging (MRI).
1 code implementation • 21 Mar 2022 • Zongjiang Tu, Chen Jiang, Yu Guan, Shanshan Wang, Jijun Liu, Qiegen Liu, Dong Liang
Decreasing magnetic resonance (MR) image acquisition times can potentially make MR examinations more accessible.
1 code implementation • CVPR 2022 • Sifeng He, Xudong Yang, Chen Jiang, Gang Liang, Wei zhang, Tan Pan, Qing Wang, Furong Xu, Chunguang Li, Jingxiong Liu, Hui Xu, Kaiming Huang, Yuan Cheng, Feng Qian, Xiaobo Zhang, Lei Yang
In this paper, we introduce VCSL (Video Copy Segment Localization), a new comprehensive segment-level annotated video copy dataset.
no code implementations • 15 Oct 2020 • Benard Nsamba, Nuno Moedas, Tiago L. Campante, Margarida S. Cunha, Antonio García Hernández, Juan C. Suárez, Mário J. P. F. G. Monteiro, João Fernandes, Chen Jiang, Babatunde Akinsanmi
Adopting 35 low-mass, solar-type stars with multi-year Kepler photometry from the asteroseismic "LEGACY" sample, we explore the systematic uncertainties on the inferred stellar parameters (i. e., radius, mass, and age) arising from the treatment of the initial helium abundance in stellar model grids .
Solar and Stellar Astrophysics
no code implementations • 21 Jul 2020 • Chen Jiang, Qingna Li
Motivated by this question and the idea in linearization framework, in this paper, we focus on the $L_2$-loss kernel SVM and propose a semismooth Newton's method based linearization and approximation approach for it.
1 code implementation • 2 Mar 2020 • Chen Jiang, Masood Dehghan, Martin Jagersand
In this paper, to model the intended concepts of manipulation, we present a vision dataset under a strictly constrained knowledge domain for both robot and human manipulations, where manipulation concepts and relations are stored by an ontology system in a taxonomic manner.
no code implementations • 16 Sep 2019 • Chen Jiang, Martin Jagersand
Using the framework, we present a case study where robot performs manipulation actions in a kitchen environment, bridging visual perception with contextual semantics using the generated dynamic knowledge graphs.
1 code implementation • 17 Oct 2018 • Mennatullah Siam, Chen Jiang, Steven Lu, Laura Petrich, Mahmoud Gamal, Mohamed Elhoseiny, Martin Jagersand
A human teacher can show potential objects of interest to the robot, which is able to self adapt to the teaching signal without providing manual segmentation labels.