1 code implementation • 3 Aug 2020 • Qiao Liu, Xin Li, Zhenyu He, Chenglong Li, Jun Li, Zikun Zhou, Di Yuan, Jing Li, Kai Yang, Nana Fan, Feng Zheng
We evaluate and analyze more than 30 trackers on LSOTB-TIR to provide a series of baselines, and the results show that deep trackers achieve promising performance.
Thermal Infrared Object Tracking Vocal Bursts Intensity Prediction
1 code implementation • 18 Jan 2018 • Qiao Liu, Zhenyu He, Xin Li, Yuan Zheng
The ability to evaluate the TIR pedestrian tracker fairly, on a benchmark dataset, is significant for the development of this field.
2 code implementations • 20 Apr 2020 • Qiao Liu, Jiaze Xu, Rui Jiang, Wing Hung Wong
Density estimation is a fundamental problem in both statistics and machine learning.
2 code implementations • 8 Dec 2022 • Qiao Liu, Zhongren Chen, Wing Hung Wong
In this article, we develop a general framework $\textit{CausalEGM}$ for estimating causal effects by encoding generative modeling, which can be applied in both binary and continuous treatment settings.
1 code implementation • 27 Apr 2021 • Guanglin Niu, Yang Li, Chengguang Tang, Ruiying Geng, Jian Dai, Qiao Liu, Hao Wang, Jian Sun, Fei Huang, Luo Si
Moreover, modeling and inferring complex relations of one-to-many (1-N), many-to-one (N-1), and many-to-many (N-N) by previous knowledge graph completion approaches requires high model complexity and a large amount of training instances.
1 code implementation • 26 Nov 2019 • Qiao Liu, Xin Li, Zhenyu He, Nana Fan, Di Yuan, Wei Liu, Yonsheng Liang
These two feature models are learned using a multi-task matching framework and are jointly optimized on the TIR tracking task.
1 code implementation • 22 Aug 2023 • Xueyi Liu, Rui Hou, Yanglei Gan, Da Luo, Changlin Li, Xiaojun Shi, Qiao Liu
In addition, we design a multi-perspective attention mechanism that align relevant opinion information with respect to the given aspect.
1 code implementation • 27 Nov 2017 • Xin Li, Qiao Liu, Nana Fan, Zhenyu He, Hongzhi Wang
In this paper, we cast the TIR tracking problem as a similarity verification task, which is coupled well to the objective of the tracking task.
1 code implementation • 13 Dec 2021 • Xin Li, Qiao Liu, Wenjie Pei, Qiuhong Shen, YaoWei Wang, Huchuan Lu, Ming-Hsuan Yang
Along with the rapid progress of visual tracking, existing benchmarks become less informative due to redundancy of samples and weak discrimination between current trackers, making evaluations on all datasets extremely time-consuming.
1 code implementation • 9 Jun 2019 • Qiao Liu, Xin Li, Zhenyu He, Nana Fan, Di Yuan, Hongpeng Wang
These two similarities complement each other and hence enhance the discriminative capacity of the network for handling distractors.
1 code implementation • NeurIPS 2020 • Chencheng Xu, Qiao Liu, Minlie Huang, Tao Jiang
A major challenge in the pharmaceutical industry is to design novel molecules with specific desired properties, especially when the property evaluation is costly.
Ranked #1 on Molecular Graph Generation on ZINC (QED Top-3 metric)
1 code implementation • 19 Dec 2023 • Da Luo, Yanglei Gan, Rui Hou, Run Lin, Qiao Liu, Yuxiang Cai, Wannian Gao
Specifically, our framework involves a symmetrical contrastive objective that encompasses both sentence-anchored and label-anchored contrastive losses.
no code implementations • COLING 2018 • Min Yang, Qiang Qu, Ying Shen, Qiao Liu, Wei Zhao, Jia Zhu
Review text has been widely studied in traditional tasks such as sentiment analysis and aspect extraction.
no code implementations • ICLR 2018 • Qiao Liu, Xiao-Hui Yang, Rui Wan, Shouzhong Tu, Zufeng Wu
Many types of relations in physical, biological, social and information systems can be modeled as homogeneous or heterogeneous concept graphs.
no code implementations • 3 Jul 2020 • Di Yuan, Xiu Shu, Nana Fan, Xiaojun Chang, Qiao Liu, Zhenyu He
Moreover, we introduce a classification part that is trained online and optimized with a Conjugate-Gradient-based strategy to guarantee real-time tracking speed.
no code implementations • NeurIPS 2021 • Feng Wang, Guoyizhe Wei, Qiao Liu, Jinxiang Ou, Xian Wei, Hairong Lv
In the experiments, it yields up to 5. 02% higher accuracy over single EfficientNet-B0 on the imbalanced datasets.
no code implementations • 17 Oct 2021 • Di Yuan, Xiaojun Chang, Yi Yang, Qiao Liu, Dehua Wang, Zhenyu He
In this paper, we propose an active learning method for deep visual tracking, which selects and annotates the unlabeled samples to train the deep CNNs model.
no code implementations • 17 Feb 2022 • Kexin Ding, Mu Zhou, Zichen Wang, Qiao Liu, Corey W. Arnold, Shaoting Zhang, Dimitri N. Metaxas
Image-based characterization and disease understanding involve integrative analysis of morphological, spatial, and topological information across biological scales.
no code implementations • 21 Sep 2022 • Jirong Yi, Qiaosheng Zhang, Zhen Chen, Qiao Liu, Wei Shao
Deep learning systems have been reported to achieve state-of-the-art performances in many applications, and a key is the existence of well trained classifiers on benchmark datasets.
no code implementations • 23 Sep 2022 • Honghu Pan, Qiao Liu, Yongyong Chen, Yunqi He, Yuan Zheng, Feng Zheng, Zhenyu He
Finally, we propose a dual-attention method consisting of node-attention and time-attention to obtain the temporal graph representation from the node embeddings, where the self-attention mechanism is employed to learn the importance of each node and each frame.
no code implementations • 3 Oct 2022 • Jirong Yi, Qiaosheng Zhang, Zhen Chen, Qiao Liu, Wei Shao
Deep learning systems have been reported to acheive state-of-the-art performances in many applications, and one of the keys for achieving this is the existence of well trained classifiers on benchmark datasets which can be used as backbone feature extractors in downstream tasks.
no code implementations • 23 Nov 2022 • Jirong Yi, Qiaosheng Zhang, Zhen Chen, Qiao Liu, Wei Shao, Yusen He, Yaohua Wang
We first argue that the MSE minimization approach is equivalent to a conditional entropy learning problem, and then propose a mutual information learning formulation for solving regression problems by using a reparameterization technique.
no code implementations • 20 Jul 2023 • Zhipeng Zhang, Piao Tong, Yingwei Ma, Qiao Liu, Xujiang Liu, Xu Luo
Furthermore, we introduce a novel Decoupled Contrastive Learning method to enhance the effectiveness of the language representation.