no code implementations • 28 Jan 2025 • Shuai Chen, Yong Zu, Zhixi Feng, Shuyuan Yang, Mengchang Li, Yue Ma, Jun Liu, Qiukai Pan, Xinlei Zhang, Changjun Sun
HPTR enables the integration of radio signal features with expert knowledge, while FAF improves the modeling of high-frequency features critical for precise signal processing.
no code implementations • 7 Jan 2025 • Liang Xiao, Wen Dai, Shuai Chen, Bin Qin, Chongyang Shi, Haopeng Jing, Tianyu Guo
As new evidence is found, RetroRAG continually updates and organizes this information, enhancing its ability to locate further necessary evidence.
no code implementations • 11 Oct 2024 • Shuai Chen, Zhoujun Li
On the other hand, the generated positive and negative samples are used to build a contrastive loss function, enhancing recommendation performance through self-supervised training.
no code implementations • 20 Aug 2024 • Changkun Liu, Shuai Chen, Yash Bhalgat, Siyan Hu, Ming Cheng, ZiRui Wang, Victor Adrian Prisacariu, Tristan Braud
We leverage 3D Gaussian Splatting (3DGS) as a scene representation and propose a novel test-time camera pose refinement framework, GSLoc.
no code implementations • 6 Aug 2024 • Jihao Gu, Shuai Chen, Zelin Wang, Yibo Zhang, Ping Gong
However, the rank values need to be manually verified to match different downstream tasks, and they cannot accommodate the varying importance of different layers in the model.
no code implementations • 23 Jul 2024 • Shuai Chen, Fanman Meng, Chenhao Wu, Haoran Wei, Runtong Zhang, Qingbo Wu, Linfeng Xu, Hongliang Li
For the second issue, due to the varying granularity of transformed priors from diverse annotation types, we conceptualize these multi-granular transformed priors as analogous to noisy intermediates at different steps of a diffusion model.
1 code implementation • 5 Jun 2024 • Yucheng Wu, Liyue Chen, Yu Cheng, Shuai Chen, Jinyu Xu, Leye Wang
Learning representations of user behavior sequences is crucial for various online services, such as online fraudulent transaction detection mechanisms.
1 code implementation • 16 May 2024 • Xianzheng Ma, Yash Bhalgat, Brandon Smart, Shuai Chen, Xinghui Li, Jian Ding, Jindong Gu, Dave Zhenyu Chen, Songyou Peng, Jia-Wang Bian, Philip H Torr, Marc Pollefeys, Matthias Nießner, Ian D Reid, Angel X. Chang, Iro Laina, Victor Adrian Prisacariu
Hence, with this paper, we aim to chart a course for future research that explores and expands the capabilities of 3D-LLMs in understanding and interacting with the complex 3D world.
no code implementations • 13 May 2024 • Chenhao Wu, Qingbo Wu, Haoran Wei, Shuai Chen, Lei Wang, King Ngi Ngan, Fanman Meng, Hongliang Li
Using the performance variations as indicators, we evaluate the adversarial robustness of eight predominant LIC algorithms against diverse attacks.
no code implementations • 22 Apr 2024 • Eric Brachmann, Jamie Wynn, Shuai Chen, Tommaso Cavallari, Áron Monszpart, Daniyar Turmukhambetov, Victor Adrian Prisacariu
We address the task of estimating camera parameters from a set of images depicting a scene.
1 code implementation • CVPR 2024 • Shuai Chen, Tommaso Cavallari, Victor Adrian Prisacariu, Eric Brachmann
We present a new approach to pose regression, map-relative pose regression (marepo), that satisfies the data hunger of the pose regression network in a scene-agnostic fashion.
1 code implementation • 22 Feb 2024 • Changkun Liu, Shuai Chen, Yukun Zhao, Huajian Huang, Victor Prisacariu, Tristan Braud
In addition, we take advantage of the uncertainty for pose refinement to enhance the performance of APR.
no code implementations • 24 Dec 2023 • Shufang Zhang, Minxue Ni, Lei Wang, Wenxin Ding, Shuai Chen, Yuhong Liu
The Diffusion model has a strong ability to generate wild images.
no code implementations • 17 Aug 2023 • Liyue Chen, Linian Wang, Jinyu Xu, Shuai Chen, Weiqiang Wang, Wenbiao Zhao, Qiyu Li, Leye Wang
For example, consider cross-domain fraud detection, where there are two types of transactions: credit and non-credit.
no code implementations • 5 Jul 2023 • Shuai Chen, Subhradeep Kayal, Marleen de Bruijne
The paradigm of self-supervision focuses on representation learning from raw data without the need of labor-consuming annotations, which is the main bottleneck of current data-driven methods.
no code implementations • 3 May 2023 • Yong Cao, Xianzhi Li, Huiwen Liu, Wen Dai, Shuai Chen, Bin Wang, Min Chen, Daniel Hershcovich
In this study, we propose a novel framework, RE-KBQA, that utilizes relations in the knowledge base to enhance entity representation and introduce additional supervision.
1 code implementation • CVPR 2024 • Shuai Chen, Yash Bhalgat, Xinghui Li, Jiawang Bian, Kejie Li, ZiRui Wang, Victor Adrian Prisacariu
To enhance the robustness of our model, we introduce a feature fusion module and a progressive training strategy.
1 code implementation • 14 Sep 2022 • Shuai Chen, Antonio Garcia-Uceda, Jiahang Su, Gijs van Tulder, Lennard Wolff, Theo van Walsum, Marleen de Bruijne
In this paper, we propose a novel label refinement method to correct such errors from an initial segmentation, implicitly incorporating information about label structure.
no code implementations • 15 Aug 2022 • Carole H. Sudre, Kimberlin Van Wijnen, Florian Dubost, Hieab Adams, David Atkinson, Frederik Barkhof, Mahlet A. Birhanu, Esther E. Bron, Robin Camarasa, Nish Chaturvedi, Yuan Chen, Zihao Chen, Shuai Chen, Qi Dou, Tavia Evans, Ivan Ezhov, Haojun Gao, Marta Girones Sanguesa, Juan Domingo Gispert, Beatriz Gomez Anson, Alun D. Hughes, M. Arfan Ikram, Silvia Ingala, H. Rolf Jaeger, Florian Kofler, Hugo J. Kuijf, Denis Kutnar, Minho Lee, Bo Li, Luigi Lorenzini, Bjoern Menze, Jose Luis Molinuevo, Yiwei Pan, Elodie Puybareau, Rafael Rehwald, Ruisheng Su, Pengcheng Shi, Lorna Smith, Therese Tillin, Guillaume Tochon, Helene Urien, Bas H. M. van der Velden, Isabelle F. van der Velpen, Benedikt Wiestler, Frank J. Wolters, Pinar Yilmaz, Marius de Groot, Meike W. Vernooij, Marleen de Bruijne
This challenge aimed to promote the development of methods for automated detection and segmentation of small and sparse imaging markers of cerebral small vessel disease, namely enlarged perivascular spaces (EPVS) (Task 1), cerebral microbleeds (Task 2) and lacunes of presumed vascular origin (Task 3) while leveraging weak and noisy labels.
1 code implementation • 1 Apr 2022 • Shuai Chen, Xinghui Li, ZiRui Wang, Victor Adrian Prisacariu
We introduce a camera relocalization pipeline that combines absolute pose regression (APR) and direct feature matching.
no code implementations • 4 Jan 2022 • Yongchun Zhu, Dongbo Xi, Bowen Song, Fuzhen Zhuang, Shuai Chen, Xi Gu, Qing He
Thus, in this paper, we further propose a transfer framework to tackle the cross-domain fraud detection problem, which aims to transfer knowledge from existing domains (source domains) with enough and mature data to improve the performance in the new domain (target domain).
no code implementations • 31 Dec 2021 • Dongbo Xi, Fuzhen Zhuang, Bowen Song, Yongchun Zhu, Shuai Chen, Dan Hong, Tao Chen, Xi Gu, Qing He
Many prediction tasks of real-world applications need to model multi-order feature interactions in user's event sequence for better detection performance.
no code implementations • 3 Jul 2021 • Hui Li, Xing Fu, Ruofan Wu, Jinyu Xu, Kai Xiao, xiaofu Chang, Weiqiang Wang, Shuai Chen, Leilei Shi, Tao Xiong, Yuan Qi
Deep learning provides a promising way to extract effective representations from raw data in an end-to-end fashion and has proven its effectiveness in various domains such as computer vision, natural language processing, etc.
1 code implementation • 8 Apr 2021 • Shuai Chen, ZiRui Wang, Victor Prisacariu
We present a relocalization pipeline, which combines an absolute pose regression (APR) network with a novel view synthesis based direct matching module, offering superior accuracy while maintaining low inference time.
no code implementations • 8 Aug 2020 • Dongbo Xi, Bowen Song, Fuzhen Zhuang, Yongchun Zhu, Shuai Chen, Tianyi Zhang, Yuan Qi, Qing He
In this paper, we propose the Dual Importance-aware Factorization Machines (DIFM), which exploits the internal field information among users' behavior sequence from dual perspectives, i. e., field value variations and field interactions simultaneously for fraud detection.
1 code implementation • 26 Jun 2020 • Subhradeep Kayal, Shuai Chen, Marleen de Bruijne
Self-supervised learning has proven to be invaluable in making best use of all of the available data in biomedical image segmentation.
no code implementations • WS 2019 • Ying Xiong, Yedan Shen, Yuanhang Huang, Shuai Chen, Buzhou Tang, Xiaolong Wang, Qingcai Chen, Jun Yan, Yi Zhou
The Biological Text Mining Unit at BSC and CNIO organized the first shared task on chemical {\&} drug mention recognition from Spanish medical texts called PharmaCoNER (Pharmacological Substances, Compounds and proteins and Named Entity Recognition track) in 2019, which includes two tracks: one for NER offset and entity classification (track 1) and the other one for concept indexing (track 2).
no code implementations • 14 Oct 2019 • Yuwei Yang, Fanman Meng, Hongliang Li, Qingbo Wu, Xiaolong Xu, Shuai Chen
The result by the matrix transformation can be regarded as an attention map with high-level semantic cues, based on which a transformation module can be built simply. The proposed transformation module is a general module that can be used to replace the transformation module in the existing few-shot segmentation frameworks.
Ranked #86 on
Few-Shot Semantic Segmentation
on PASCAL-5i (5-Shot)
no code implementations • 21 Sep 2019 • Kaixu Huang, Fanman Meng, Hongliang Li, Shuai Chen, Qingbo Wu, King N. Ngan
Moreover, a new orthogonal module and a two-branch based CAM generation method are proposed to generate class regions that are orthogonal and complementary.
no code implementations • WS 2019 • Shuai Chen, Yuanhang Huang, Xiaowei Huang, Haoming Qin, Jun Yan, Buzhou Tang
This is the system description of the Harbin Institute of Technology Shenzhen (HITSZ) team for the first and second subtasks of the fourth Social Media Mining for Health Applications (SMM4H) shared task in 2019.
1 code implementation • 29 Jul 2019 • Shuai Chen, Gerda Bortsova, Antonio Garcia-Uceda Juarez, Gijs van Tulder, Marleen de Bruijne
The reconstruction objective uses an attention mechanism that separates the reconstruction of image areas corresponding to different classes.
no code implementations • 15 Apr 2019 • Shuai Chen, Jinpeng Li, Chuanqi Yao, Wenbo Hou, Shuo Qin, Wenyao Jin, Xu Tang
Working with multi-scale features, the designed dual scale residual unit makes dual scale detectors no longer run independently.
no code implementations • 8 Nov 2018 • Shuai Chen, Marleen de Bruijne
Fully-connected Conditional Random Field (CRF) is often used as post-processing to refine voxel classification results by encouraging spatial coherence.