1 code implementation • 5 Dec 2023 • Hao Zhang, Hongyang Li, Feng Li, Tianhe Ren, Xueyan Zou, Shilong Liu, Shijia Huang, Jianfeng Gao, Lei Zhang, Chunyuan Li, Jianwei Yang
To address this issue, we have created GVC data that allows for the combination of grounding and chat capabilities.
no code implementations • 30 Nov 2023 • Mena Shenouda, Eyjólfur Gudmundsson, Feng Li, Christopher M. Straus, Hedy L. Kindler, Arkadiusz Z. Dudek, Thomas Stinchcombe, Xiaofei Wang, Adam Starkey, Samuel G. Armato III
Percent difference of tumor volume and overlap using the Dice Similarity Coefficient (DSC) were compared between the standard reference provided by the radiologist and CNN outputs for thresholds ranging from 0. 001 to 0. 9.
no code implementations • 22 Nov 2023 • Qing Jiang, Feng Li, Tianhe Ren, Shilong Liu, Zhaoyang Zeng, Kent Yu, Lei Zhang
Guided by the visual feedback from T-Rex, users can also interactively refine the counting results by prompting on missing or falsely-detected objects.
1 code implementation • 22 Nov 2023 • Feng Li, Qing Jiang, Hao Zhang, Tianhe Ren, Shilong Liu, Xueyan Zou, Huaizhe xu, Hongyang Li, Chunyuan Li, Jianwei Yang, Lei Zhang, Jianfeng Gao
In-context prompting in large language models (LLMs) has become a prevalent approach to improve zero-shot capabilities, but this idea is less explored in the vision domain.
no code implementations • 21 Nov 2023 • Yinuo Ren, Feng Li, Yanfei Kang, Jue Wang
Forecast combination integrates information from various sources by consolidating multiple forecast results from the target time series.
1 code implementation • 21 Nov 2023 • Guanyu Zhang, Feng Li, Yanfei Kang
As the popularity of hierarchical point forecast reconciliation methods increases, there is a growing interest in probabilistic forecast reconciliation.
1 code implementation • 9 Nov 2023 • Shilong Liu, Hao Cheng, Haotian Liu, Hao Zhang, Feng Li, Tianhe Ren, Xueyan Zou, Jianwei Yang, Hang Su, Jun Zhu, Lei Zhang, Jianfeng Gao, Chunyuan Li
LLaVA-Plus is a general-purpose multimodal assistant that expands the capabilities of large multimodal models.
Ranked #1 on
LMM real-life tasks
on Leaderboard
no code implementations • 5 Nov 2023 • Huining Li, Yalong Jiang, Xianlin Zeng, Feng Li, Zhipeng Wang
Specifically, we employ the minimum network flow algorithm with high-confidence detections as input in the first stage to obtain the candidate tracklets that need correction.
3 code implementations • 17 Oct 2023 • Jianwei Yang, Hao Zhang, Feng Li, Xueyan Zou, Chunyuan Li, Jianfeng Gao
We present Set-of-Mark (SoM), a new visual prompting method, to unleash the visual grounding abilities of large multimodal models (LMMs), such as GPT-4V.
1 code implementation • 25 Sep 2023 • Li Li, Feng Li, Yanfei Kang
In economics and many other forecasting domains, the real world problems are too complex for a single model that assumes a specific data generation process.
no code implementations • 21 Sep 2023 • Feng Li, Yuqi Chai, Huan Yang, Pengfei Hu, Lingjie Duan
Moreover, the standard CMAB usually assumes the workers always stay in the system, whereas the workers may join in or depart from the system over time, such that what we have learnt for an individual worker cannot be applied after the worker leaves.
1 code implementation • ICCV 2023 • Jie Yang, Ailing Zeng, Feng Li, Shilong Liu, Ruimao Zhang, Lei Zhang
Click-Pose explores how user feedback can cooperate with a neural keypoint detector to correct the predicted keypoints in an interactive way for a faster and more effective annotation process.
no code implementations • 10 Aug 2023 • Feng Li
With the big popularity and success of Judea Pearl's original causality book, this review covers the main topics updated in the second edition in 2009 and illustrates an easy-to-follow causal inference strategy in a forecast scenario.
no code implementations • ICCV 2023 • Hongyang Li, Hao Zhang, Zhaoyang Zeng, Shilong Liu, Feng Li, Tianhe Ren, Lei Zhang
Existing feature lifting approaches, such as Lift-Splat-based and 2D attention-based, either use estimated depth to get pseudo LiDAR features and then splat them to a 3D space, which is a one-pass operation without feature refinement, or ignore depth and lift features by 2D attention mechanisms, which achieve finer semantics while suffering from a depth ambiguity problem.
1 code implementation • 10 Jul 2023 • Feng Li, Hao Zhang, Peize Sun, Xueyan Zou, Shilong Liu, Jianwei Yang, Chunyuan Li, Lei Zhang, Jianfeng Gao
In this paper, we introduce Semantic-SAM, a universal image segmentation model to enable segment and recognize anything at any desired granularity.
1 code implementation • 27 Jun 2023 • Anqi Li, Feng Li, Jiaxin Han, Huihui Bai, Runmin Cong, Chunjie Zhang, Meng Wang, Weisi Lin, Yao Zhao
Extensive experiments have demonstrated that our approach outperforms recent state-of-the-art methods in R-D performance, visual quality, and downstream applications, at very low bitrates.
1 code implementation • 15 Jun 2023 • Dongyi Zhang, Feng Li, Man Liu, Runmin Cong, Huihui Bai, Meng Wang, Yao Zhao
In this work, we explore the potential of resolution fields in scalable image compression and propose the reciprocal pyramid network (RPN) that fulfills the need for more adaptable and versatile compression.
1 code implementation • 12 Jun 2023 • Tianhe Ren, Shilong Liu, Feng Li, Hao Zhang, Ailing Zeng, Jie Yang, Xingyu Liao, Ding Jia, Hongyang Li, He Cao, Jianan Wang, Zhaoyang Zeng, Xianbiao Qi, Yuhui Yuan, Jianwei Yang, Lei Zhang
To address this issue, we develop a unified, highly modular, and lightweight codebase called detrex, which supports a majority of the mainstream DETR-based instance recognition algorithms, covering various fundamental tasks, including object detection, segmentation, and pose estimation.
2 code implementations • 25 Apr 2023 • Tianhe Ren, Jianwei Yang, Shilong Liu, Ailing Zeng, Feng Li, Hao Zhang, Hongyang Li, Zhaoyang Zeng, Lei Zhang
This work presents Focal-Stable-DINO, a strong and reproducible object detection model which achieves 64. 6 AP on COCO val2017 and 64. 8 AP on COCO test-dev using only 700M parameters without any test time augmentation.
Ranked #4 on
Object Detection
on COCO test-dev
1 code implementation • NeurIPS 2023 • Xueyan Zou, Jianwei Yang, Hao Zhang, Feng Li, Linjie Li, JianFeng Wang, Lijuan Wang, Jianfeng Gao, Yong Jae Lee
In SEEM, we propose a novel decoding mechanism that enables diverse prompting for all types of segmentation tasks, aiming at a universal segmentation interface that behaves like large language models (LLMs).
1 code implementation • ICCV 2023 • Shilong Liu, Tianhe Ren, Jiayu Chen, Zhaoyang Zeng, Hao Zhang, Feng Li, Hongyang Li, Jun Huang, Hang Su, Jun Zhu, Lei Zhang
We point out that the unstable matching in DETR is caused by a multi-optimization path problem, which is highlighted by the one-to-one matching design in DETR.
no code implementations • CVPR 2023 • Zhi Gao, Chen Xu, Feng Li, Yunde Jia, Mehrtash Harandi, Yuwei Wu
Our method dynamically expands the geometry of the underlying space to match growing geometric structures induced by new data, and prevents forgetting by keeping geometric structures of old data into account.
1 code implementation • CVPR 2023 • Man Liu, Feng Li, Chunjie Zhang, Yunchao Wei, Huihui Bai, Yao Zhao
Generalized Zero-Shot Learning (GZSL) identifies unseen categories by knowledge transferred from the seen domain, relying on the intrinsic interactions between visual and semantic information.
2 code implementations • ICCV 2023 • Hao Zhang, Feng Li, Xueyan Zou, Shilong Liu, Chunyuan Li, Jianfeng Gao, Jianwei Yang, Lei Zhang
We present OpenSeeD, a simple Open-vocabulary Segmentation and Detection framework that jointly learns from different segmentation and detection datasets.
Ranked #2 on
Instance Segmentation
on ADE20K val
(using extra training data)
1 code implementation • CVPR 2023 • Hao Zhang, Feng Li, Huaizhe xu, Shijia Huang, Shilong Liu, Lionel M. Ni, Lei Zhang
We present a mask-piloted Transformer which improves masked-attention in Mask2Former for image segmentation.
1 code implementation • 13 Mar 2023 • Feng Li, Ailing Zeng, Shilong Liu, Hao Zhang, Hongyang Li, Lei Zhang, Lionel M. Ni
Recent DEtection TRansformer-based (DETR) models have obtained remarkable performance.
4 code implementations • 9 Mar 2023 • Shilong Liu, Zhaoyang Zeng, Tianhe Ren, Feng Li, Hao Zhang, Jie Yang, Chunyuan Li, Jianwei Yang, Hang Su, Jun Zhu, Lei Zhang
To effectively fuse language and vision modalities, we conceptually divide a closed-set detector into three phases and propose a tight fusion solution, which includes a feature enhancer, a language-guided query selection, and a cross-modality decoder for cross-modality fusion.
Ranked #1 on
Zero-Shot Object Detection
on ODinW
(using extra training data)
no code implementations • 25 Feb 2023 • Hao Zhang, Hongyang Li, Ailing Zeng, Feng Li, Shilong Liu, Xingyu Liao, Lei Zhang
To address the second issue, we introduce an auxiliary learning task called Depth-aware Negative Suppression loss.
3 code implementations • 3 Feb 2023 • Jie Yang, Ailing Zeng, Shilong Liu, Feng Li, Ruimao Zhang, Lei Zhang
This paper presents a novel end-to-end framework with Explicit box Detection for multi-person Pose estimation, called ED-Pose, where it unifies the contextual learning between human-level (global) and keypoint-level (local) information.
Ranked #2 on
2D Human Pose Estimation
on Human-Art
no code implementations • CVPR 2023 • Feng Li, Ailing Zeng, Shilong Liu, Hao Zhang, Hongyang Li, Lei Zhang, Lionel M. Ni
Recent DEtection TRansformer-based (DETR) models have obtained remarkable performance.
no code implementations • 13 Dec 2022 • Jiang-Long Song, Wu-He Zou, Feng Li, Xiao-Lei Qin, Wei-Dong Zhang
Prompt tuning recently becomes a hot-spot in the applications of large pretrained language models on specific downstream tasks.
no code implementations • 12 Dec 2022 • Hui Wang, Jialin Liu, Feng Li, Hao Ji, Bin Jia, Ziyou Gao
Numerical cases of Beijing Metro Line 9 verify the efficiency and effectiveness of our proposed model, and results show that: (1) when occurring a disruption event during peak hours, the impact on the normal timetable is greater, and passengers in the direction with fewer train services are more affected; (2) if passengers stranded at the terminal stations of disruption area are not transported in time, they will rapidly increase at a speed of more than 300 passengers per minute; (3) compared with the fixed shortest path, using the response vehicles reduces the total travel time about 7%.
1 code implementation • 3 Dec 2022 • Feng Li, Yixuan Wu, Huihui Bai, Weisi Lin, Runmin Cong, Yao Zhao
Recent blind SR methods suggest to reconstruct SR images relying on blur kernel estimation.
1 code implementation • 3 Dec 2022 • Yixuan Wu, Feng Li, Huihui Bai, Weisi Lin, Runmin Cong, Yao Zhao
In this paper, we analyze the degradation of a high-resolution (HR) image from image intrinsic components according to a degradation-based formulation model.
1 code implementation • 28 Nov 2022 • Shilong Liu, Yaoyuan Liang, Feng Li, Shijia Huang, Hao Zhang, Hang Su, Jun Zhu, Lei Zhang
As phrase extraction can be regarded as a $1$D text segmentation problem, we formulate PEG as a dual detection problem and propose a novel DQ-DETR model, which introduces dual queries to probe different features from image and text for object prediction and phrase mask prediction.
Ranked #6 on
Referring Expression Comprehension
on RefCOCO
no code implementations • 15 Nov 2022 • Shijia Huang, Feng Li, Hao Zhang, Shilong Liu, Lei Zhang, LiWei Wang
Our mutual supervision contains two directions.
no code implementations • 5 Oct 2022 • Yi Guo, Feng Li, Zhuo Wang
Cloud removal is an essential task in remote sensing data analysis.
no code implementations • 31 Aug 2022 • Bo Ye, Feng Li, Mingxuan Li, Peipei Yan, Huiting Yang, Lihua Wang
Based on the end-to-end learning paradigm, this paper proposes an intelligent detection method for substation insulator defects based on CenterMask.
no code implementations • 15 Jul 2022 • Aaron Wang, Feng Li, Samantha Chiang, Jennifer Fulcher, Otto Yang, David Wong, Fang Wei
The clinical spectrum of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the strain of coronavirus that caused the COVID-19 pandemic, is broad, extending from asymptomatic infection to severe immunopulmonary reactions that, if not categorized properly, may be life-threatening.
8 code implementations • CVPR 2023 • Feng Li, Hao Zhang, Huaizhe xu, Shilong Liu, Lei Zhang, Lionel M. Ni, Heung-Yeung Shum
In this paper we present Mask DINO, a unified object detection and segmentation framework.
Ranked #1 on
Panoptic Segmentation
on COCO test-dev
(using extra training data)
no code implementations • 23 May 2022 • Feng Li, Wen Jun, Tan, Wentong, Cai
There is a limited research on multi-objective optimization for multi-workflow scheduling.
no code implementations • 9 May 2022 • Xiaoqian Wang, Rob J Hyndman, Feng Li, Yanfei Kang
Forecast combinations have flourished remarkably in the forecasting community and, in recent years, have become part of the mainstream of forecasting research and activities.
no code implementations • Findings (NAACL) 2022 • Yukun Feng, Feng Li, Ziang Song, Boyuan Zheng, Philipp Koehn
We conduct experiments on three popular datasets for document-level machine translation and our model has an average improvement of 0. 91 s-BLEU over the sentence-level baseline.
1 code implementation • 20 Apr 2022 • Bohan Zhang, Yanfei Kang, Anastasios Panagiotelis, Feng Li
In this paper, we formulate reconciliation methodology that keeps forecasts of a pre-specified subset of variables unchanged or "immutable".
1 code implementation • 30 Mar 2022 • Bencheng Yan, Pengjie Wang, Kai Zhang, Feng Li, Hongbo Deng, Jian Xu, Bo Zheng
In many web applications, deep learning-based CTR prediction models (deep CTR models for short) are widely adopted.
14 code implementations • 7 Mar 2022 • Hao Zhang, Feng Li, Shilong Liu, Lei Zhang, Hang Su, Jun Zhu, Lionel M. Ni, Heung-Yeung Shum
Compared to other models on the leaderboard, DINO significantly reduces its model size and pre-training data size while achieving better results.
Ranked #1 on
Real-Time Object Detection
on COCO 2017 val
no code implementations • 3 Mar 2022 • Feng Li, Hao Zhang, Yi-Fan Zhang, Shilong Liu, Jian Guo, Lionel M. Ni, Pengchuan Zhang, Lei Zhang
This survey is inspired by the remarkable progress in both computer vision and natural language processing, and recent trends shifting from single modality processing to multiple modality comprehension.
16 code implementations • CVPR 2022 • Feng Li, Hao Zhang, Shilong Liu, Jian Guo, Lionel M. Ni, Lei Zhang
Our method is universal and can be easily plugged into any DETR-like methods by adding dozens of lines of code to achieve a remarkable improvement.
no code implementations • 14 Feb 2022 • Yu Fu, Shunjie Dong, Yi Liao, Le Xue, Yuanfan Xu, Feng Li, Qianqian Yang, Tianbai Yu, Mei Tian, Cheng Zhuo
18F-fluorodeoxyglucose (18F-FDG) Positron Emission Tomography (PET) imaging usually needs a full-dose radioactive tracer to obtain satisfactory diagnostic results, which raises concerns about the potential health risks of radiation exposure, especially for pediatric patients.
no code implementations • 29 Jan 2022 • Feng Li, Xuyang Yuan, Lina Wang, Huan Yang, Dongxiao Yu, Weifeng Lv, Xiuzhen Cheng
The efficacy of our proposed three-staged collaborative learning algorithm is finally verified by extensive experiments on both synthetic and real datasets.
7 code implementations • ICLR 2022 • Shilong Liu, Feng Li, Hao Zhang, Xiao Yang, Xianbiao Qi, Hang Su, Jun Zhu, Lei Zhang
We present in this paper a novel query formulation using dynamic anchor boxes for DETR (DEtection TRansformer) and offer a deeper understanding of the role of queries in DETR.
no code implementations • CVPR 2022 • Xufang Pang, Feng Li, Ning Ding, Xiaopin Zhong
A mass of experiments shows that the pose of the input 3D models exerts a tremendous influence on automatic 3D shape analysis.
1 code implementation • NeurIPS 2021 • Yong Xu, Feng Li, Zhile Chen, Jinxiu Liang, Yuhui Quan
Existing convolutional neural networks (CNNs) often use global average pooling (GAP) to aggregate feature maps into a single representation.
1 code implementation • 10 Oct 2021 • Shaohua Wu, Xudong Zhao, Tong Yu, Rongguo Zhang, Chong Shen, Hongli Liu, Feng Li, Hong Zhu, Jiangang Luo, Liang Xu, Xuanwei Zhang
With this method, Yuan 1. 0, the current largest singleton language model with 245B parameters, achieves excellent performance on thousands GPUs during training, and the state-of-the-art results on NLP tasks.
no code implementations • 29 Sep 2021 • Yifan Zhang, Feng Li, Zhang Zhang, Liang Wang, DaCheng Tao, Tieniu Tan
However, the convex condition of KL DRO may not hold for overparameterized neural networks, such that applying KL DRO often fails to generalize under distribution shifts in real scenarios.
no code implementations • 18 Sep 2021 • Yanwei Fu, Feng Li, Paula boned Fustel, Lei Zhao, Lijie Jia, Haojie Zheng, Qiang Sun, Shisong Rong, Haicheng Tang, xiangyang xue, Li Yang, Hong Li, Jiao Xie Wenxuan Wang, Yuan Li, Wei Wang, Yantao Pei, Jianmin Wang, Xiuqi Wu, Yanhua Zheng, Hongxia Tian, Mengwei Gu
The image-level performance of COVID-19 prescreening model in the China-Spain multicenter study achieved an AUC of 0. 913 (95% CI, 0. 898-0. 927), with a sensitivity of 0. 695 (95% CI, 0. 643-0. 748), a specificity of 0. 904 (95% CI, 0. 891 -0. 919), an accuracy of 0. 875(0. 861-0. 889), and a F1 of 0. 611(0. 568-0. 655).
1 code implementation • 4 Aug 2021 • Chen Zhang, Runmin Cong, Qinwei Lin, Lin Ma, Feng Li, Yao Zhao, Sam Kwong
For the cross-modality interaction in feature encoder, existing methods either indiscriminately treat RGB and depth modalities, or only habitually utilize depth cues as auxiliary information of the RGB branch.
no code implementations • 4 Aug 2021 • Li Li, Yanfei Kang, Feng Li
In this work, we propose a novel framework for density forecast combination by constructing time-varying weights based on time series features, which is called Feature-based Bayesian Forecasting Model Averaging (FEBAMA).
no code implementations • CVPR 2021 • Zhile Chen, Feng Li, Yuhui Quan, Yong Xu, Hui Ji
In recent years, convolutional neural networks (CNNs) have become a prominent tool for texture recognition.
no code implementations • 12 Jun 2021 • Yanwei Fu, Lei Zhao, Haojie Zheng, Qiang Sun, Li Yang, Hong Li, Jiao Xie, xiangyang xue, Feng Li, Yuan Li, Wei Wang, Yantao Pei, Jianmin Wang, Xiuqi Wu, Yanhua Zheng, Hongxia Tian Mengwei Gu1
It is still nontrivial to develop a new fast COVID-19 screening method with the easier access and lower cost, due to the technical and cost limitations of the current testing methods in the medical resource-poor districts.
no code implementations • 17 May 2021 • Feng Li, Bencheng Yan, Qingqing Long, Pengjie Wang, Wei Lin, Jian Xu, Bo Zheng
Most of the existing methods adopt a DNN-based model to capture the cross features in an implicit manner.
1 code implementation • CVPR 2021 • Lingzhi He, Hongguang Zhu, Feng Li, Huihui Bai, Runmin Cong, Chunjie Zhang, Chunyu Lin, Meiqin Liu, Yao Zhao
Depth maps obtained by commercial depth sensors are always in low-resolution, making it difficult to be used in various computer vision tasks.
no code implementations • 30 Mar 2021 • Feng Li, Zhenrui Chen, Pengjie Wang, Yi Ren, Di Zhang, Xiaoyu Zhu
Moreover, it is difficult for user to jump out of their specific historical behaviors for possible interest exploration, namely weak generalization problem.
1 code implementation • 15 Mar 2021 • Matthias Anderer, Feng Li
In this paper, we present a \emph{hierarchical-forecasting-with-alignment} approach that treats the bottom level forecasts as mutable to ensure higher forecasting accuracy on the upper levels of the hierarchy.
no code implementations • 27 Jan 2021 • Xin Liu, Kwok-Yan Lam, Feng Li, Jun Zhao, Li Wang
ISTCN aims to provide high speed and pervasive network services by integrating broadband terrestrial mobile networks with satellite communication networks.
no code implementations • ICCV 2021 • Kang Liao, Chunyu Lin, Yunchao Wei, Feng Li, Shangrong Yang, Yao Zhao
To our knowledge, we are the first to tackle the challenging rectification via outpainting, and our curve-aware strategy can reach a rectification construction with complete content and regular shape.
no code implementations • 3 Dec 2020 • Yanfei Kang, Wei Cao, Fotios Petropoulos, Feng Li
In this work, we suggest a change of focus from the historical data to the produced forecasts to extract features.
no code implementations • 15 Nov 2020 • Youming Tao, Shuzhen Chen, Feng Li, Dongxiao Yu, Jiguo Yu, Hao Sheng
In this paper, we study a distributed privacy-preserving learning problem in social networks with general topology.
1 code implementation • 29 Oct 2020 • Feng Li, Runmin Cong, Huihui Bai, Yifan He, Yao Zhao, Ce Zhu
In this paper, we present a deep interleaved network (DIN) that learns how information at different states should be combined for high-quality (HQ) images reconstruction.
no code implementations • 28 Oct 2020 • Feng Li, Jin Wang, Jun Luo
On one hand, we offer a more fine-grained semantic classification than binary indoor-outdoor detection.
Networking and Internet Architecture
no code implementations • 4 Sep 2020 • Yanwei Fu, Feng Li, Wenxuan Wang, Haicheng Tang, Xuelin Qian, Mengwei Gu, xiangyang xue
After more than four months study, we found that the confirmed cases of COVID-19 present the consistent ocular pathological symbols; and we propose a new screening method of analyzing the eye-region images, captured by common CCD and CMOS cameras, could reliably make a rapid risk screening of COVID-19 with very high accuracy.
1 code implementation • 4 Aug 2020 • Mengzuo Huang, Feng Li, Wuhe Zou, Weidong Zhang
Dialogue systems in open domain have achieved great success due to the easily obtained single-turn corpus and the development of deep learning, but the multi-turn scenario is still a challenge because of the frequent coreference and information omission.
Ranked #1 on
Dialogue Rewriting
on Multi-Rewrite
(BLEU-1 metric)
1 code implementation • 19 Jul 2020 • Xiaoqian Wang, Yanfei Kang, Rob J. Hyndman, Feng Li
Providing forecasts for ultra-long time series plays a vital role in various activities, such as investment decisions, industrial production arrangements, and farm management.
Applications Computation
1 code implementation • 24 Apr 2020 • Feng Li, Runming Cong, Huihui Bai, Yifan He
Recently, Convolutional Neural Networks (CNN) based image super-resolution (SR) have shown significant success in the literature.
no code implementations • 1 Dec 2019 • Tinghao Zhang, Jingxu Li, Jingfeng Li, Ling Wang, Feng Li, Jie Liu
Greenhouse environment is the key to influence crops production.
1 code implementation • 25 Sep 2019 • Jianyi Zhou, Feng Li, Jinhao Dong, Hongyu Zhang, Dan Hao
Experiments with various DL models and datasets show that our approach can reduce the whole testing data to 4. 6\% on average, and can reliably estimate the performance of DL models.
2 code implementations • 31 Aug 2019 • Yanfei Kang, Evangelos Spiliotis, Fotios Petropoulos, Nikolaos Athiniotis, Feng Li, Vassilios Assimakopoulos
Instead of extrapolating, the future paths of the similar reference series are aggregated and serve as the basis for the forecasts of the target series.
Methodology Applications
1 code implementation • 30 Aug 2019 • Thiyanga S. Talagala, Feng Li, Yanfei Kang
We model the forecast error as a function of time series features calculated from the historical time series with an efficient Bayesian multivariate surface regression approach.
Applications
2 code implementations • 14 Aug 2019 • Xuening Zhu, Feng Li, Hansheng Wang
The finite sample performance and computational efficiency are further illustrated by an extensive numerical study and an airline dataset.
2 code implementations • 8 Aug 2019 • Xiaoqian Wang, Yanfei Kang, Fotios Petropoulos, Feng Li
In the training part, we use a collection of time series to train a model to explore how time series features affect the interval forecasting accuracy of different forecasting methods, which makes our proposed framework interpretable in terms of the contribution of each feature to the models' uncertainty prediction.
Methodology Applications Computation
1 code implementation • 16 May 2019 • Feng Li, Xiaohe Wu, WangMeng Zuo, David Zhang, Lei Zhang
Therefore, we in this paper investigate the feasibility to remove cosine window from CF trackers with spatial regularization.
3 code implementations • 17 Apr 2019 • Xixi Li, Yanfei Kang, Feng Li
Recently, the use of time series features for forecast model averaging has been an emerging research focus in the forecasting community.
5 code implementations • 7 Mar 2019 • Yanfei Kang, Rob J. Hyndman, Feng Li
The explosion of time series data in recent years has brought a flourish of new time series analysis methods, for forecasting, clustering, classification and other tasks.
1 code implementation • CVPR 2018 • Feng Li, Cheng Tian, WangMeng Zuo, Lei Zhang, Ming-Hsuan Yang
Compared with SRDCF, STRCF with hand-crafted features provides a 5 times speedup and achieves a gain of 5. 4% and 3. 6% AUC score on OTB-2015 and Temple-Color, respectively.
Ranked #8 on
Visual Object Tracking
on VOT2017/18
no code implementations • 2 Feb 2018 • Lijun Zhao, Huihui Bai, Feng Li, Anhong Wang, Yao Zhao
Firstly, given one input image, feature description neural network (FDNN) is used to generate a new representation of this image, so that this image representation can be more efficiently compressed by standard codec, as compared to the input image.
no code implementations • 1 Feb 2018 • Feng Li, Yan Liu, Khidir Shaib Mohamed, Wei Wu
We propose in this paper a modified Sigma-Pi-Sigma neural network (MSPSNN) with an adaptive approach to find a better multinomial for a given problem.
no code implementations • 22 Jan 2018 • Feng Li, Sibo Yang, Huanhuan Huang, Wei Wu
This paper is concerned with the sparsification of the input-hidden weights of ELM (Extreme Learning Machine).
1 code implementation • 5 Oct 2017 • Feng Li, Yingjie Yao, Peihua Li, David Zhang, WangMeng Zuo, Ming-Hsuan Yang
The aspect ratio variation frequently appears in visual tracking and has a severe influence on performance.
no code implementations • 21 Oct 2016 • Feng Li, Guangfan Zhang, Wei Wang, Roger Xu, Tom Schnell, Jonathan Wen, Frederic McKenzie, Jiang Li
We compared performances of the new data representations with the original EEG features for engagement assessment.