1 code implementation • 3 Jun 2024 • Zhenya Huang, Yuting Ning, Longhu Qin, Shiwei Tong, Shangzi Xue, Tong Xiao, Xin Lin, Jiayu Liu, Qi Liu, Enhong Chen, Shijing Wang
We also provide a configurable pipeline to unify the data usage and model usage in standard ways, where users can customize their own needs.
no code implementations • 20 May 2024 • Hao Chen, Biaojie Zeng, Xin Lin, Liang He, Aimin Zhou
Math world problems correction(MWPC) is a novel task dedicated to rectifying reasoning errors in the process of solving mathematical problems.
no code implementations • 16 Apr 2024 • Haixia Han, Tingyun Li, Shisong Chen, Jie Shi, Chengyu Du, Yanghua Xiao, Jiaqing Liang, Xin Lin
Specifically, we first identify three key problems: (1) How to capture the inherent confidence of the LLM?
2 code implementations • 16 Apr 2024 • Bin Ren, Nancy Mehta, Radu Timofte, Hongyuan Yu, Cheng Wan, Yuxin Hong, Bingnan Han, Zhuoyuan Wu, Yajun Zou, Yuqing Liu, Jizhe Li, Keji He, Chao Fan, Heng Zhang, Xiaolin Zhang, Xuanwu Yin, Kunlong Zuo, Bohao Liao, Peizhe Xia, Long Peng, Zhibo Du, Xin Di, Wangkai Li, Yang Wang, Wei Zhai, Renjing Pei, Jiaming Guo, Songcen Xu, Yang Cao, ZhengJun Zha, Yan Wang, Yi Liu, Qing Wang, Gang Zhang, Liou Zhang, Shijie Zhao, Long Sun, Jinshan Pan, Jiangxin Dong, Jinhui Tang, Xin Liu, Min Yan, Menghan Zhou, Yiqiang Yan, Yixuan Liu, Wensong Chan, Dehua Tang, Dong Zhou, Li Wang, Lu Tian, Barsoum Emad, Bohan Jia, Junbo Qiao, Yunshuai Zhou, Yun Zhang, Wei Li, Shaohui Lin, Shenglong Zhou, Binbin Chen, Jincheng Liao, Suiyi Zhao, Zhao Zhang, Bo wang, Yan Luo, Yanyan Wei, Feng Li, Mingshen Wang, Yawei Li, Jinhan Guan, Dehua Hu, Jiawei Yu, Qisheng Xu, Tao Sun, Long Lan, Kele Xu, Xin Lin, Jingtong Yue, Lehan Yang, Shiyi Du, Lu Qi, Chao Ren, Zeyu Han, YuHan Wang, Chaolin Chen, Haobo Li, Mingjun Zheng, Zhongbao Yang, Lianhong Song, Xingzhuo Yan, Minghan Fu, Jingyi Zhang, Baiang Li, Qi Zhu, Xiaogang Xu, Dan Guo, Chunle Guo, Jiadi Chen, Huanhuan Long, Chunjiang Duanmu, Xiaoyan Lei, Jie Liu, Weilin Jia, Weifeng Cao, Wenlong Zhang, Yanyu Mao, Ruilong Guo, Nihao Zhang, Qian Wang, Manoj Pandey, Maksym Chernozhukov, Giang Le, Shuli Cheng, Hongyuan Wang, Ziyan Wei, Qingting Tang, Liejun Wang, Yongming Li, Yanhui Guo, Hao Xu, Akram Khatami-Rizi, Ahmad Mahmoudi-Aznaveh, Chih-Chung Hsu, Chia-Ming Lee, Yi-Shiuan Chou, Amogh Joshi, Nikhil Akalwadi, Sampada Malagi, Palani Yashaswini, Chaitra Desai, Ramesh Ashok Tabib, Ujwala Patil, Uma Mudenagudi
In sub-track 1, the practical runtime performance of the submissions was evaluated, and the corresponding score was used to determine the ranking.
no code implementations • 24 Mar 2024 • Xin Lin, Rafael Vazquez, Miroslav Krstic
Our first contribution is the development of initial steps towards a MATLAB toolbox dedicated to backstepping kernel computation.
no code implementations • 13 Mar 2024 • Dingbang Li, Wenzhou Chen, Xin Lin
We evaluate the performance of our method on the Room-to-Room dataset.
no code implementations • 12 Feb 2024 • Yuanyuan Mao, Xin Lin, Qin Ni, Liang He
This paper presents BDIQA, the first benchmark to explore the cognitive reasoning capabilities of VideoQA models in the context of ToM.
no code implementations • 9 Feb 2024 • Wenyu Li, Yinuo Zhu, Xin Lin, Ming Li, Ziyue Jiang, Ziqian Zeng
Traditional discriminative approaches in mental health analysis are known for their strong capacity but lack interpretability and demand large-scale annotated data.
no code implementations • 23 Jan 2024 • Xin Lin, Chong Shi, Yibing Zhan, Zuopeng Yang, Yaqi Wu, DaCheng Tao
To address the above problems, in this paper, we introduce a network named TD$^2$-Net that aims at denoising and debiasing for dynamic SGG.
no code implementations • 4 Dec 2023 • Xin Lin, Chao Ren, Kelvin C. K. Chan, Lu Qi, Jinshan Pan, Ming-Hsuan Yang
Multi-task image restoration has gained significant interest due to its inherent versatility and efficiency compared to its single-task counterpart.
no code implementations • 27 Sep 2023 • Peng Zhang, Xin Li, Liang He, Xin Lin
This paper undertakes a comprehensive examination, assessment, and synthesis of the research landscape in this domain, remaining attuned to the latest developments in 3D MOT while suggesting prospective avenues for future investigation.
1 code implementation • ICCV 2023 • Xin Lin, Chao Ren, Xiao Liu, Jie Huang, Yinjie Lei
Although unsupervised approaches based on generative adversarial networks offer a promising solution for denoising without paired datasets, they are difficult in surpassing the performance limitations of conventional GAN-based unsupervised frameworks without significantly modifying existing structures or increasing the computational complexity of denoisers.
no code implementations • 6 May 2023 • Xin Lin, Jingtong Yue, Sixian Ding, Chao Ren, Chun-Le Guo, Chongyi Li
P-Net can learn degradation feature vectors on the dark and light areas separately, using contrastive learning to guide the image restoration process.
no code implementations • 14 Apr 2023 • Jingyuan Wang, Yufan Wu, Mingxuan Li, Xin Lin, Junjie Wu, Chao Li
While having achieved great success in rich real-life applications, deep neural network (DNN) models have long been criticized for their vulnerability to adversarial attacks.
no code implementations • 21 Mar 2023 • Yuanyuan Mao, Shuang Liu, Pengshuai Zhao, Qin Ni, Xin Lin, Liang He
Beliefs, desires, and intentions are the early abilities of infants and the foundation of human cognitive ability, as well as for machine with ToM.
1 code implementation • 5 Feb 2023 • Zuopeng Yang, Tianshu Chu, Xin Lin, Erdun Gao, Daqing Liu, Jie Yang, Chaoyue Wang
The proposed model incorporates a Bias Elimination Cycle that consists of both a forward path and an inverted path, each featuring a Structural Consistency Cycle to ensure the preservation of image content during the editing process.
1 code implementation • 18 Jan 2023 • Yuting Ning, Zhenya Huang, Xin Lin, Enhong Chen, Shiwei Tong, Zheng Gong, Shijin Wang
To this end, in this paper, we propose a novel contrastive pre-training approach for mathematical question representations, namely QuesCo, which attempts to bring questions with more similar purposes closer.
1 code implementation • 27 Jul 2022 • Zeneng She, Wenjian Luo, Xin Lin, Yatong Chang, Yuhui Shi
In the field of evolutionary multiobjective optimization, the decision maker (DM) concerns conflicting objectives.
1 code implementation • CVPR 2022 • Xin Lin, Changxing Ding, Yibing Zhan, Zijian Li, DaCheng Tao
Despite their effectiveness, however, current SGG methods only assume scene graph homophily while ignoring heterophily.
1 code implementation • CVPR 2022 • Xin Lin, Changxing Ding, Jing Zhang, Yibing Zhan, DaCheng Tao
Scene graph generation (SGG) aims to detect objects and predict the relationships between each pair of objects.
1 code implementation • CVPR 2022 • Jiabo Ye, Junfeng Tian, Ming Yan, Xiaoshan Yang, Xuwu Wang, Ji Zhang, Liang He, Xin Lin
Moreover, since the backbones are query-agnostic, it is difficult to completely avoid the inconsistency issue by training the visual backbone end-to-end in the visual grounding framework.
1 code implementation • 29 Mar 2022 • Yunlong Zhang, Xin Lin, Yihong Zhuang, LiyanSun, Yue Huang, Xinghao Ding, Guisheng Wang, Lin Yang, Yizhou Yu
Comprehensive experiments on the T2 modality of BraTS demonstrate that the proposed method substantially outperforms the state-of-the-art methods.
no code implementations • 21 Feb 2022 • Dongqi Wang, Shengyu Zhang, Zhipeng Di, Xin Lin, Weihua Zhou, Fei Wu
A common problem in both pruning and distillation is to determine compressed architecture, i. e., the exact number of filters per layer and layer configuration, in order to preserve most of the original model capacity.
no code implementations • 3 Jan 2022 • Wenjian Luo, Xin Lin, Changhe Li, Shengxiang Yang, Yuhui Shi
This is very helpful for the decision makers, especially when facing changing environments.
no code implementations • 7 Oct 2021 • Zijing Yang, Jiabo Ye, LinLin Wang, Xin Lin, Liang He
To achieve this, existing approaches take advantage of the knowledge graphs to learn more evidences for inference, whereas they often suffer from invalid reasoning for lack of elegant decision making strategies.
no code implementations • SEMEVAL 2021 • Pingsheng Liu, LinLin Wang, Qian Zhao, Hao Chen, Yuxi Feng, Xin Lin, Liang He
This paper describes our system for SemEval-2021 Task 4: Reading Comprehension of Abstract Meaning.
1 code implementation • SEMEVAL 2020 • Qian Zhao, Siyu Tao, Jie zhou, LinLin Wang, Xin Lin, Liang He
As a result, this model performs quite well in both validation and explanation.
1 code implementation • CVPR 2020 • Xin Lin, Changxing Ding, Jinquan Zeng, DaCheng Tao
There are three key properties of scene graph that have been underexplored in recent works: namely, the edge direction information, the difference in priority between nodes, and the long-tailed distribution of relationships.
Ranked #5 on Scene Graph Generation on Visual Genome
no code implementations • 19 Jul 2019 • Jingyuan Wang, Ning Wu, Wayne Xin Zhao, Fanzhang Peng, Xin Lin
To address these issues, we propose using neural networks to automatically learn the cost functions of a classic heuristic algorithm, namely A* algorithm, for the PRR task.
no code implementations • 30 Oct 2018 • Guoqiang Zhong, Xin Lin, Kang Chen, Qingyang Li, Kai-Zhu Huang
Attention is an important cognition process of humans, which helps humans concentrate on critical information during their perception and learning.
2 code implementations • 11 Jun 2017 • Lvmin Zhang, Yi Ji, Xin Lin
Recently, with the revolutionary neural style transferring methods, creditable paintings can be synthesized automatically from content images and style images.