no code implementations • NAACL 2022 • Zheng Fang, Ruiqing Zhang, Zhongjun He, Hua Wu, Yanan Cao
Automatic Speech Recognition (ASR) is an efficient and widely used input method that transcribes speech signals into text.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+2
no code implementations • EMNLP 2021 • Zheng Fang, Yanan Cao, Tai Li, Ruipeng Jia, Fang Fang, Yanmin Shang, Yuhai Lu
To alleviate label scarcity in Named Entity Recognition (NER) task, distantly supervised NER methods are widely applied to automatically label data and identify entities.
no code implementations • 10 Jun 2025 • Taiqin Chen, Zikun Zhou, Zheng Fang, Wenzhen Zou, Kanjun Liu, Ke Chen, Yongbing Zhang, YaoWei Wang
Inspired by the shadowing factor in the physical propagation model, we integrate obstacle-related factors to express the obstacle-induced signal stochastic decay.
no code implementations • 21 May 2025 • Ao Liu, Botong Zhou, Can Xu, Chayse Zhou, Chenchen Zhang, Chengcheng Xu, Chenhao Wang, Decheng Wu, Dengpeng Wu, Dian Jiao, Dong Du, Dong Wang, Feng Zhang, Fengzong Lian, Guanghui Xu, Guanwei Zhang, Hai Wang, Haipeng Luo, Han Hu, Huilin Xu, Jiajia Wu, Jianchen Zhu, Jianfeng Yan, Jiaqi Zhu, Jinbao Xue, Jun Xia, Junqiang Zheng, Kai Liu, Kai Zhang, Kai Zheng, Kejiao Li, Keyao Wang, Lan Jiang, Lixin Liu, Lulu Wu, Mengyuan Huang, Peijie Yu, Peiqi Wang, Qian Wang, Qianbiao Xiang, Qibin Liu, Qingfeng Sun, Richard Guo, Ruobing Xie, Saiyong Yang, Shaohua Chen, Shihui Hu, Shuai Li, Shuaipeng Li, Shuang Chen, Suncong Zheng, Tao Yang, Tian Zhang, TingHao Yu, Weidong Han, Weijie Liu, Weijin Zhou, Weikang Wang, Wesleye Chen, Xiao Feng, Xiaoqin Ren, Xingwu Sun, Xiong Kuang, Xuemeng Huang, Xun Cao, Yanfeng Chen, Yang Du, Yang Zhen, Yaping Deng, Yi Shen, Yigeng Hong, Yiqi Chen, Yiqing Huang, Yuchi Deng, Yue Mao, Yulong Wang, Yuyuan Zeng, Zenan Xu, Zhanhui Kang, Zhenxiang Yan, Zheng Fang, Zhichao Hu, Zhongzhi Chen, Zhuoyu Li, Zongwei Li, Alex Yan, Ande Liang, Baitong Liu, Beiping Pan, Bin Xing, Binghong Wu, Bingxin Qu, Bolin Ni, Boyu Wu, Chen Li, Cheng Jiang, Cheng Zhang, Chengjun Liu, Chengxu Yang, Chiyu Wang, Chong Zha, Daisy Yi, Di Wang, Fanyang Lu, Fei Chen, Feifei Liu, Feng Zheng, Guanghua Yu, Guiyang Li, Guohua Wang, Haisheng Lin, Han Liu, Han Wang, Hao Fei, Hao Lu, Haoqing Jiang, Haoran Sun, Haotian Zhu, Huangjin Dai, Huankui Chen, Huawen Feng, Huihui Cai, Huxin Peng, Jackson Lv, Jiacheng Shi, Jiahao Bu, Jianbo Li, Jianglu Hu, Jiangtao Guan, Jianing Xu, Jianwei Cai, Jiarong Zhang, Jiawei Song, Jie Jiang, Jie Liu, Jieneng Yang, Jihong Zhang, Jin lv, Jing Zhao, Jinjian Li, JinXing Liu, Jun Zhao, Juntao Guo, Kai Wang, Kan Wu, Lei Fu, Lei He, Lei Wang, Li Liu, Liang Dong, Liya Zhan, Long Cheng, Long Xu, Mao Zheng, Meng Liu, Mengkang Hu, Nanli Chen, Peirui Chen, Peng He, Pengju Pan, Pengzhi Wei, Qi Yang, Qi Yi, Roberts Wang, Rongpeng Chen, Rui Sun, Rui Yang, Ruibin Chen, Ruixu Zhou, Shaofeng Zhang, Sheng Zhang, Shihao Xu, Shuaishuai Chang, Shulin Liu, Siqi Wang, Songjia Feng, Songling Yuan, Tao Zhang, Tianjiao Lang, Tongkai Li, Wei Deng, Wei Li, Weichao Wang, Weigang Zhang, Weixuan Sun, Wen Ouyang, Wenxiang Jiao, Wenzhi Sun, Wenzhuo Jia, Xiang Zhang, Xiangyu He, Xianshun Ren, Xiaoying Zhu, Xiaolong Guo, Xiaoxue Li, Xiaoyu Ma, Xican Lu, Xinhua Feng, Xinting Huang, Xinyu Guan, Xirui Li, Xu Zhang, Xudong Gao, Xun Luo, Xuxiang Qi, Yangkun Chen, Yangyu Tao, Yanling Xiao, Yantao Mai, Yanze Chen, Yao Ding, Yeting Yang, YiFan Song, Yifan Yang, Yijiao Zhu, Yinhe Wu, Yixian Liu, Yong Yang, Yuanjun Cai, Yuanlin Tu, Yue Zhang, Yufei Huang, YuHang Zhou, Yuhao Jiang, Yuhong Liu, Yuhui Hu, YuJin Lin, Yun Yang, Yunhao Wang, Yusong Zhang, Zekun Wu, Zelong Zhang, Zhan Yu, Zhaoliang Yang, Zhe Zhao, Zheng Li, Zhenyu Huang, Zhiguang Liu, Zhiqing Kui, Zhiyin Zeng, Zhiyuan Xiong, Zhuo Han, Zifan Wu, Zigang Geng, Zilong Zhao, Ziyan Tang, Ziyuan Zhu, Zonglei Zhu, Zhijiang Xu
As Large Language Models (LLMs) rapidly advance, we introduce Hunyuan-TurboS, a novel large hybrid Transformer-Mamba Mixture of Experts (MoE) model.
no code implementations • 9 May 2025 • Bingan Yuan, Bowei Liu, Zheng Fang
This work contributes to exploring the sampling condition and improving the slice quality of TCT, further promoting the application of large view field CT imaging.
no code implementations • 8 May 2025 • Zuntao Liu, Hao Zhuang, Junjie Jiang, Yuhang Song, Zheng Fang
Meanwhile, we propose a nonlinear motion compensation loss that utilizes the accurate nonlinear motion between events to improve the unsupervised learning of our network.
no code implementations • 2 Apr 2025 • Ming Pang, Chunyuan Yuan, Xiaoyu He, Zheng Fang, Donghao Xie, Fanyi Qu, Xue Jiang, Changping Peng, Zhangang Lin, Zheng Luo, Jingping Shao
The model uses a co-alignment strategy to generate codes optimized for maximizing retrieval efficiency.
1 code implementation • 25 Feb 2025 • Mingyuan Sun, Zheng Fang, Jiaxu Wang, Junjie Jiang, Delei Kong, Chenming Hu, Yuetong Fang, Renjing Xu
The increasing complexity and parameter count of Convolutional Neural Networks (CNNs) and Transformers pose challenges in terms of computational efficiency and resource demands.
no code implementations • 11 Feb 2025 • Zheng Fang, Lichuan Xiang, Xu Cai, Kaicheng Zhou, Hongkai Wen
To address this gap, we propose FlexControl, a novel framework that copies all diffusion blocks during training and employs a trainable gating mechanism to dynamically select which blocks to activate at each denoising step.
no code implementations • 6 Jan 2025 • Jiexi Zhong, Zhiheng Li, Yubo Cui, Zheng Fang
Semantic segmentation of LiDAR points has significant value for autonomous driving and mobile robot systems.
no code implementations • 16 Dec 2024 • Zheng Fang, Ke Ye, Yaofang Liu, Gongzhe Li, Xianhong Zhao, Jialong Li, Ruxin Wang, Yuchen Zhang, Xiangyang Ji, Qilin Sun
Point clouds or depth images captured by current RGB-D cameras often suffer from low resolution, rendering them insufficient for applications such as 3D reconstruction and robots.
no code implementations • 11 Dec 2024 • Iman Munire Bilal, Zheng Fang, Miguel Arana-Catania, Felix-Anselm van Lier, Juliana Outes Velarde, Harry Bregazzi, Eleanor Carter, Mara Airoldi, Rob Procter
As academic literature proliferates, traditional review methods are increasingly challenged by the sheer volume and diversity of available research.
no code implementations • 11 Dec 2024 • Yubo Cui, Zhiheng Li, Jiaqiang Wang, Zheng Fang
Nowadays, conventional methods usually project the image-based vision features to 3D space and learn the geometric information through the attention mechanism, enabling the 3D semantic occupancy prediction.
1 code implementation • 6 Nov 2024 • Junming Lin, Zheng Fang, Chi Chen, Zihao Wan, Fuwen Luo, Peng Li, Yang Liu, Maosong Sun
In this paper, we introduce StreamingBench, the first comprehensive benchmark designed to evaluate the streaming video understanding capabilities of MLLMs.
no code implementations • 26 Aug 2024 • Qingqing Long, Yuchen Yan, Peiyan Zhang, Chen Fang, Wentao Cui, Zhiyuan Ning, Meng Xiao, Ning Cao, Xiao Luo, Lingjun Xu, Shiyue Jiang, Zheng Fang, Chong Chen, Xian-Sheng Hua, Yuanchun Zhou
Large-scale "pre-train and prompt learning" paradigms have demonstrated remarkable adaptability, enabling broad applications across diverse domains such as question answering, image recognition, and multimodal retrieval.
no code implementations • 10 Aug 2024 • Junjie Jiang, Hao Zhuang, XinJie Huang, Delei Kong, Zheng Fang
In this paper, we propose EV-MGDispNet, a novel event-based stereo disparity estimation method.
no code implementations • 4 Aug 2024 • Chunyuan Yuan, Ming Pang, Zheng Fang, Xue Jiang, Changping Peng, Zhangang Lin
Most existing query intent classification methods rely on the users' click behavior as a supervised signal to construct training samples.
1 code implementation • 25 Jul 2024 • Zhiheng Li, Yubo Cui, Jiexi Zhong, Zheng Fang
Specifically, we utilize a short-term memory to convey historical features, which can be regarded as spatial prior of moving objects and adopted to enhance current inference by temporal fusion.
no code implementations • 2 Jul 2024 • Shuo Li, Yubo Cui, Zhiheng Li, Zheng Fang
Specifically, by estimating the flow for each point in the target, our method could capture the local motion details of target, thereby improving the tracking performance.
no code implementations • 24 Jun 2024 • Zheng Fang, Miguel Arana-Catania, Felix-Anselm van Lier, Juliana Outes Velarde, Harry Bregazzi, Mara Airoldi, Eleanor Carter, Rob Procter
The application of ML techniques to subsequent stages of a review, however, such as data extraction and evidence mapping, is in its infancy.
1 code implementation • 30 May 2024 • Jia Li, Ge Li, YunFei Zhao, Yongmin Li, Huanyu Liu, Hao Zhu, Lecheng Wang, Kaibo Liu, Zheng Fang, Lanshen Wang, Jiazheng Ding, Xuanming Zhang, Yuqi Zhu, Yihong Dong, Zhi Jin, Binhua Li, Fei Huang, Yongbin Li
Our experiments reveal these LLMs' coding abilities in real-world code repositories.
no code implementations • 23 May 2024 • Shuaipeng Li, Penghao Zhao, Hailin Zhang, Xingwu Sun, Hao Wu, Dian Jiao, Weiyan Wang, Chengjun Liu, Zheng Fang, Jinbao Xue, Yangyu Tao, Bin Cui, Di Wang
First, we raise the scaling law between batch sizes and optimal learning rates in the sign of gradient case, in which we prove that the optimal learning rate first rises and then falls as the batch size increases.
1 code implementation • 14 May 2024 • Zhimin Li, Jianwei Zhang, Qin Lin, Jiangfeng Xiong, Yanxin Long, Xinchi Deng, Yingfang Zhang, Xingchao Liu, Minbin Huang, Zedong Xiao, Dayou Chen, Jiajun He, Jiahao Li, Wenyue Li, Chen Zhang, Rongwei Quan, Jianxiang Lu, Jiabin Huang, Xiaoyan Yuan, Xiaoxiao Zheng, Yixuan Li, Jihong Zhang, Chao Zhang, Meng Chen, Jie Liu, Zheng Fang, Weiyan Wang, Jinbao Xue, Yangyu Tao, Jianchen Zhu, Kai Liu, Sihuan Lin, Yifu Sun, Yun Li, Dongdong Wang, Mingtao Chen, Zhichao Hu, Xiao Xiao, Yan Chen, Yuhong Liu, Wei Liu, Di Wang, Yong Yang, Jie Jiang, Qinglin Lu
For fine-grained language understanding, we train a Multimodal Large Language Model to refine the captions of the images.
no code implementations • 15 Mar 2024 • Zheng Fang, Fucai Ke, Jae Young Han, Zhijie Feng, Toby Cai
The study opens new avenues for exploring the application of graph theory and reinforcement learning in social and behavioral sciences, highlighting the potential for empirical validation in future work.
1 code implementation • 14 Mar 2024 • Mingyuan Sun, Donghao Zhang, ZongYuan Ge, Jiaxu Wang, Jia Li, Zheng Fang, Renjing Xu
Based on this, we propose EventRPG, which leverages relevance propagation on the spiking neural network for more efficient augmentation.
Ranked #1 on
Action Recognition
on SL-Animals
1 code implementation • 26 Feb 2024 • Yu Lin, Zhiheng Li, Yubo Cui, Zheng Fang
Most existing methods perform tracking between two consecutive frames while ignoring the motion patterns of the target over a series of frames, which would cause performance degradation in the scenes with sparse points.
no code implementations • 21 Feb 2024 • Yuchen Yan, Peiyan Zhang, Zheng Fang, Qingqing Long
Based on the insight of graph pre-training, we propose to bridge the graph signal gap and the graph structure gap with learnable prompts in the spectral space.
1 code implementation • 20 Feb 2024 • Chi Chen, Yiyang Du, Zheng Fang, Ziyue Wang, Fuwen Luo, Peng Li, Ming Yan, Ji Zhang, Fei Huang, Maosong Sun, Yang Liu
In this paper, we propose a new paradigm through the model composition of existing MLLMs to create a new model that retains the modal understanding capabilities of each original model.
no code implementations • 16 Feb 2024 • Chenming Hu, Zheng Fang, Kuanxu Hou, Delei Kong, Junjie Jiang, Hao Zhuang, Mingyuan Sun, XinJie Huang
This module is designed to extract features shared between the two representations and features specific to each.
no code implementations • 2 Feb 2024 • Qingqing Long, Zheng Fang, Chen Fang, Chong Chen, Pengfei Wang, Yuanchun Zhou
To tackle the above issues, we propose a neural Spatial-Temporal Delay Differential Equation model, namely STDDE.
no code implementations • 21 Jan 2024 • Zheng Fang, Tianhao Chen, Dong Jiang, Zheng Zhang, Guangliang Li
Multi-agent generative adversarial imitation learning (MAGAIL) allows multi-AUV to learn from expert demonstration instead of pre-defined reward functions, but suffers from the deficiency of requiring optimal demonstrations and not surpassing provided expert demonstrations.
no code implementations • 12 Jan 2024 • Jia Li, Ge Li, YunFei Zhao, Yongmin Li, Zhi Jin, Hao Zhu, Huanyu Liu, Kaibo Liu, Lecheng Wang, Zheng Fang, Lanshen Wang, Jiazheng Ding, Xuanming Zhang, Yihong Dong, Yuqi Zhu, Bin Gu, Mengfei Yang
Compared to previous benchmarks, DevEval aligns to practical projects in multiple dimensions, e. g., real program distributions, sufficient dependencies, and enough-scale project contexts.
1 code implementation • 23 Aug 2023 • Zhiheng Li, Yu Lin, Yubo Cui, Shuo Li, Zheng Fang
3D single object tracking with LiDAR points is an important task in the computer vision field.
no code implementations • 2 Aug 2023 • Kun-Peng Ning, Ming Pang, Zheng Fang, Xue Jiang, Xi-Wei Zhao, Chang-Ping Peng, Zhan-Gang Lin, Jing-He Hu, Jing-Ping Shao
To overcome this challenge, in this paper, we propose knowledge condensation (KC), a simple yet effective knowledge distillation framework to boost the classification performance of the online FastText model under strict low latency constraints.
no code implementations • 30 Jun 2023 • Yubo Cui, Zhiheng Li, Zheng Fang
Previous methods usually input the last two frames and use the predicted box to get the template point cloud in previous frame and the search area point cloud in the current frame respectively, then use similarity-based or motion-based methods to predict the current box.
1 code implementation • 16 May 2023 • Zheng Fang, Yulan He, Rob Procter
Most existing topic models rely on bag-of-words (BOW) representation, which limits their ability to capture word order information and leads to challenges with out-of-vocabulary (OOV) words in new documents.
no code implementations • 13 May 2023 • Hao Zhuang, XinJie Huang, Kuanxu Hou, Delei Kong, Chenming Hu, Zheng Fang
In this paper, we propose EV-MGRFlowNet, an unsupervised event-based optical flow estimation pipeline with motion-guided recurrent networks using a hybrid motion-compensation loss.
1 code implementation • 11 May 2023 • Zhiheng Li, Yubo Cui, Yu Lin, Zheng Fang
To overcome the limitations of geometry matching, we propose a Multi-modal Multi-level Fusion Tracker (MMF-Track), which exploits the image texture and geometry characteristic of point clouds to track 3D target.
no code implementations • 11 Apr 2023 • Wei Ju, Zheng Fang, Yiyang Gu, Zequn Liu, Qingqing Long, Ziyue Qiao, Yifang Qin, Jianhao Shen, Fang Sun, Zhiping Xiao, Junwei Yang, Jingyang Yuan, Yusheng Zhao, Yifan Wang, Xiao Luo, Ming Zhang
Graph representation learning aims to effectively encode high-dimensional sparse graph-structured data into low-dimensional dense vectors, which is a fundamental task that has been widely studied in a range of fields, including machine learning and data mining.
no code implementations • 4 Apr 2023 • Zheng Fang, Lama Alqazlan, Du Liu, Yulan He, Rob Procter
Human-in-the-loop topic modelling incorporates users' knowledge into the modelling process, enabling them to refine the model iteratively.
no code implementations • ICCV 2023 • Zheng Fang, Xiaoyang Wang, Haocheng Li, Jiejie Liu, Qiugui Hu, Jimin Xiao
In this paper, we propose a few-shot anomaly detection strategy that works in a low-data regime and can generalize across products at no cost.
Ranked #12 on
Anomaly Detection
on MPDD
no code implementations • 22 Nov 2022 • Kuanxu Hou, Delei Kong, Junjie Jiang, Hao Zhuang, XinJie Huang, Zheng Fang
To our knowledge, this is the first end-to-end network that goes beyond the existing event-based and frame-based SOTA methods to fuse frame and events directly for VPR.
1 code implementation • 2 Oct 2022 • Yubo Cui, Jiayao Shan, Zuoxu Gu, Zhiheng Li, Zheng Fang
Meanwhile, the encoder applies the attention on multi-scale features to compensate for the lack of information caused by the sparsity of point cloud and the single scale of features.
1 code implementation • 2 Sep 2022 • Jiayao Shan, Sifan Zhou, Yubo Cui, Zheng Fang
PTT module in the voting stage could model the interactions among point patches, which learns context-dependent features.
no code implementations • 29 Jun 2022 • Zheng Fang, Xiongwei Zhang, Tieyong Cao, Yunfei Zheng, Meng Sun
Comprehensive experimental results and analysis reveals that 1) the most widely used human natural skeleton structure adjacency matrix is unsuitable in skeleton-based action recognition; 2) The proposed adjacency matrix is superior in model performance, noise robustness and transferability.
no code implementations • 19 May 2022 • Zheng Fang, Biao Zhao, Guizhong Liu
For visual representation, a representation driven by a combination of the imageaugmented forward dynamics and the reward is acquired.
1 code implementation • NAACL 2022 • Lixing Zhu, Zheng Fang, Gabriele Pergola, Rob Procter, Yulan He
Building models to detect vaccine attitudes on social media is challenging because of the composite, often intricate aspects involved, and the limited availability of annotated data.
Aspect-Based Sentiment Analysis
Aspect-Based Sentiment Analysis (ABSA)
+1
1 code implementation • 28 Oct 2021 • Yubo Cui, Zheng Fang, Jiayao Shan, Zuoxu Gu, Sifan Zhou
By using cross-attention, the transformer decoder fuses features and includes more target cues into the current point cloud feature to compute the region attentions, which makes the similarity computing more efficient.
1 code implementation • 17 Oct 2021 • Yuefeng Chen, Xiaofeng Mao, Yuan He, Hui Xue, Chao Li, Yinpeng Dong, Qi-An Fu, Xiao Yang, Tianyu Pang, Hang Su, Jun Zhu, Fangcheng Liu, Chao Zhang, Hongyang Zhang, Yichi Zhang, Shilong Liu, Chang Liu, Wenzhao Xiang, Yajie Wang, Huipeng Zhou, Haoran Lyu, Yidan Xu, Zixuan Xu, Taoyu Zhu, Wenjun Li, Xianfeng Gao, Guoqiu Wang, Huanqian Yan, Ying Guo, Chaoning Zhang, Zheng Fang, Yang Wang, Bingyang Fu, Yunfei Zheng, Yekui Wang, Haorong Luo, Zhen Yang
Many works have investigated the adversarial attacks or defenses under the settings where a bounded and imperceptible perturbation can be added to the input.
1 code implementation • 14 Aug 2021 • Jiayao Shan, Sifan Zhou, Zheng Fang, Yubo Cui
Our code is open-sourced for the robotics community at https://github. com/shanjiayao/PTT.
no code implementations • 12 Aug 2021 • Zheng Fang, Sifan Zhou, Yubo Cui, Sebastian Scherer
Then, to fuse the information of features in the two branches and obtain their similarity, we propose two cross correlation modules, named Pointcloud-wise and Point-wise respectively.
no code implementations • ACL 2021 • Ruipeng Jia, Yanan Cao, Fang Fang, Yuchen Zhou, Zheng Fang, Yanbing Liu, Shi Wang
In this paper, we conceptualize the single-document extractive summarization as a rebalance problem and present a deep differential amplifier framework.
no code implementations • 1 Aug 2021 • Qihui Chen, Zheng Fang, Xun Huang
We develop a Stata command, bootranktest, for implementing the matrix rank test of Chen and Fang (2019) in linear instrumental variable regression models.
no code implementations • 26 Jul 2021 • Zheng Fang
This paper makes the following original contributions.
1 code implementation • 24 Jun 2021 • Zheng Fang, Qingqing Long, Guojie Song, Kunqing Xie
However, the representation ability of such models is limited due to: (1) shallow GNNs are incapable to capture long-range spatial correlations, (2) only spatial connections are considered and a mass of semantic connections are ignored, which are of great importance for a comprehensive understanding of traffic networks.
Ranked #5 on
Traffic Prediction
on LargeST
1 code implementation • 4 Jun 2021 • Zekun Luo, Zheng Fang, Sixiao Zheng, Yabiao Wang, Yanwei Fu
Non-Maximum Suppression (NMS) is essential for object detection and affects the evaluation results by incorporating False Positives (FP) and False Negatives (FN), especially in crowd occlusion scenes.
Ranked #6 on
Pedestrian Detection
on Caltech
no code implementations • Findings (ACL) 2021 • Zheng Fang, Yulan He, Rob Procter
Topic modeling is an unsupervised method for revealing the hidden semantic structure of a corpus.
no code implementations • 20 Jan 2021 • Xingyin Fu, Zheng Fang, Xizhen Xiao, Yijia He, Xiao Liu
In this paper, we propose an improved Signed Distance Function (SDF) for both 2D SLAM and pure localization to improve the accuracy of mapping and localization.
no code implementations • 30 Nov 2020 • Xu Chen, Yuanxing Zhang, Lun Du, Zheng Fang, Yi Ren, Kaigui Bian, Kunqing Xie
Further analysis indicates that the locality and globality of the traffic networks are critical to traffic flow prediction and the proposed TSSRGCN model can adapt to the various temporal traffic patterns.
no code implementations • 6 Nov 2020 • Delei Kong, Zheng Fang, Haojia Li, Kuanxu Hou, Sonya Coleman, Dermot Kerr
In this paper, we propose an end-to-end visual place recognition network for event cameras, which can achieve good place recognition performance in challenging environments.
no code implementations • 18 Sep 2020 • Zheng Fang, Andres Santos, Azeem M. Shaikh, Alexander Torgovitsky
This paper considers the problem of testing whether there exists a non-negative solution to a possibly under-determined system of linear equations with known coefficients.
no code implementations • 11 Jul 2020 • Dongbo Zhang, Zheng Fang, Xuequan Lu, Hong Qin, Antonio Robles-Kelly, Chao Zhang, Ying He
3D human segmentation has seen noticeable progress in re-cent years.
1 code implementation • Geoscientific Model Development 2019 • Xiaomeng Huang, Xing Huang, Dong Wang, Qi Wu, Yi Li, Shixun Zhang, YuWen Chen, Mingqing Wang, Yuan Gao, Qiang Tang, Yue Chen, Zheng Fang, Zhenya Song, Guangwen Yang
In this work, we design a simple computing library to bridge the gap and decouple the work of ocean modeling from parallel computing.
no code implementations • 17 Oct 2019 • Zheng Fang, Juwon Seo
Based on a monotonicity property afforded by such a geometric structure, we construct a bootstrap procedure that, unlike many studies in nonstandard settings, dispenses with estimation of local parameter spaces, and the critical values are obtained in a way as simple as computing the test statistic.
no code implementations • 6 Jul 2019 • Zheng Fang, Adrian S. Wong, Kangbo Hao, Alexander J. A. Ty, Henry D. I. Abarbanel
In this paper, we develop a systematic formulation based on Monte Carlo sampling to achieve such information transfer.
2 code implementations • 25 Mar 2019 • Pengfei Yao, Zheng Fang, Fan Wu, Yao Feng, Jiwei Li
Recovering 3D human body shape and pose from 2D images is a challenging task due to high complexity and flexibility of human body, and relatively less 3D labeled data.
no code implementations • 12 Feb 2019 • Alexander J. A. Ty, Zheng Fang, Rivver A. Gonzalez, Paul J. Rozdeba, Henry D. I. Abarbanel
We proceed from a scalar time series $s(t_n); t_n = t_0 + n \Delta t$ and using methods of nonlinear time series analysis show how to produce a $D_E > 1$ dimensional time delay embedding space in which the time series has no false neighbors as does the observed $s(t_n)$ time series.
no code implementations • 1 Feb 2019 • Zheng Fang, Yanan Cao, Dongjie Zhang, Qian Li, Zhen-Yu Zhang, Yanbing Liu
Entity linking is the task of aligning mentions to corresponding entities in a given knowledge base.
Ranked #6 on
Entity Disambiguation
on AIDA-CoNLL
1 code implementation • 14 Dec 2018 • Jiong Tao, Juyong Zhang, Bailin Deng, Zheng Fang, Yue Peng, Ying He
In this paper, we propose a parallel and scalable approach for geodesic distance computation on triangle meshes.
Graphics
no code implementations • 8 Nov 2018 • Weichen Dai, Yu Zhang, Ping Li, Zheng Fang, Sebastian Scherer
This method utilizes the correlation between map points to separate points that are part of the static scene and points that are part of different moving objects into different groups.
no code implementations • 15 Oct 2014 • Xiankai Lu, Zheng Fang, Tao Xu, Haiting Zhang, Hongya Tuo
In object recognition, Fisher vector (FV) representation is one of the state-of-art image representations ways at the expense of dense, high dimensional features and increased computation time.