1 code implementation • ECCV 2020 • Saihui Hou, Chunshui Cao, Xu Liu, Yongzhen Huang
Gait recognition aims at identifying different people by the walking patterns, which can be conducted at a long distance without the cooperation of subjects.
no code implementations • 7 May 2024 • Yi Zuo, Lingling Li, Licheng Jiao, Fang Liu, Xu Liu, Wenping Ma, Shuyuan Yang, Yuwei Guo
In the first training stage, we focus on learning the spatial features (the features of object content) and breaking down the temporal relationships in the video frames by shuffling them.
no code implementations • 26 Apr 2024 • Yanbiao Ma, Licheng Jiao, Fang Liu, Lingling Li, Shuyuan Yang, Xu Liu
Our approach has the potential to change the paradigm of pseudo-label generation in semi-supervised learning.
no code implementations • 24 Apr 2024 • Yu Xia, Rui Wang, Xu Liu, Mingyan Li, Tong Yu, Xiang Chen, Julian McAuley, Shuai Li
Chain-of-Thought (CoT) has been a widely adopted prompting method, eliciting impressive reasoning abilities of Large Language Models (LLMs).
1 code implementation • 22 Apr 2024 • Yanbiao Ma, Licheng Jiao, Fang Liu, Lingling Li, Wenping Ma, Shuyuan Yang, Xu Liu, Puhua Chen
Building fair deep neural networks (DNNs) is a crucial step towards achieving trustworthy artificial intelligence.
no code implementations • 11 Apr 2024 • Weilin Ruan, Wei Chen, Xilin Dang, Jianxiang Zhou, Weichuang Li, Xu Liu, Yuxuan Liang
Spatio-temporal forecasting is crucial in real-world dynamic systems, predicting future changes using historical data from diverse locations.
no code implementations • 2 Apr 2024 • Yu Xia, Xu Liu, Tong Yu, Sungchul Kim, Ryan A. Rossi, Anup Rao, Tung Mai, Shuai Li
Large Language Models (LLMs) have shown propensity to generate hallucinated outputs, i. e., texts that are factually incorrect or unsupported.
no code implementations • 22 Mar 2024 • Peng Xu, Haoran Wang, Chuang Wang, Xu Liu
As AI Agents based on Large Language Models (LLMs) have shown potential in practical applications across various fields, how to quickly deploy an AI agent and how to conveniently expand the application scenario of AI agents has become a challenge.
no code implementations • 19 Feb 2024 • Zhiwei Zhao, Changqing Liu, Yingguang Li, Zhibin Chen, Xu Liu
Neural operator models provide an efficient alternative by learning the governing physical laws directly from data in a class of PDEs with different parameters, but constrained in a fixed boundary (domain).
1 code implementation • 24 Jan 2024 • Zengbin Wang, Saihui Hou, Man Zhang, Xu Liu, Chunshui Cao, Yongzhen Huang, Peipei Li, Shibiao Xu
Gait recognition is a promising biometric method that aims to identify pedestrians from their unique walking patterns.
no code implementations • 23 Jan 2024 • Niqi Liu, Fang Liu, Wenqi Ji, Xinxin Du, Xu Liu, Guozhen Zhao, Wenting Mu, Yong-Jin Liu
Current methods predominantly focus on image and text data or address artificially introduced noise, neglecting the complexities of natural noise in time-series analysis.
no code implementations • 21 Jan 2024 • Yanbiao Ma, Licheng Jiao, Fang Liu, Shuyuan Yang, Xu Liu, Puhua Chen
In this work, we propose to leverage the geometric information of the feature distribution of the well-represented head class to guide the model to learn the underlying distribution of the tail class.
no code implementations • 17 Jan 2024 • Zhiming Li, Yushi Cao, Xiufeng Xu, Junzhe Jiang, Xu Liu, Yon Shin Teo, Shang-Wei Lin, Yang Liu
Large language models (LLMs) have revolutionized many areas (e. g. natural language processing, software engineering, etc.)
no code implementations • 28 Dec 2023 • Chen Gao, Haifeng Li, Xu Liu, Xiaodi Tan
We apply the U-Net model for compressive light field synthesis.
no code implementations • 15 Dec 2023 • Xu Liu, Tong Zhou, Yuanxin Wang, Yuping Wang, Qinjingwen Cao, Weizhi Du, Yonghuan Yang, Junjun He, Yu Qiao, Yiqing Shen
The advent of foundation models, which are pre-trained on vast datasets, has ushered in a new era of computer vision, characterized by their robustness and remarkable zero-shot generalization capabilities.
2 code implementations • 29 Nov 2023 • Xu Liu, Shu Zhou, Yurong Song, Wenzhe Luo, Xin Zhang
To tackle this issue, we propose a face liveness detection method based on image-text pairs and contrastive learning, dividing liveness attack problems in the financial field into eight categories and using text information to describe the images of these eight types of attacks.
no code implementations • 3 Nov 2023 • Yanbiao Ma, Licheng Jiao, Fang Liu, Shuyuan Yang, Xu Liu, Puhua Chen
In the context of the long-tail scenario, models exhibit a strong demand for high-quality data.
no code implementations • 26 Oct 2023 • Junfeng Hu, Xu Liu, Zhencheng Fan, Yuxuan Liang, Roger Zimmermann
Based on this proposal, we introduce Unified Spatio-Temporal Diffusion Models (USTD) to address the tasks uniformly within the uncertainty-aware diffusion framework.
no code implementations • 16 Oct 2023 • Yanbiao Ma, Licheng Jiao, Fang Liu, Shuyuan Yang, Xu Liu, Lingling Li
The disadvantage is that these methods generally pursue models with balanced class accuracy on the data manifold, while ignoring the ability of the model to resist interference.
1 code implementation • 15 Oct 2023 • Xu Liu, Junfeng Hu, Yuan Li, Shizhe Diao, Yuxuan Liang, Bryan Hooi, Roger Zimmermann
To address these issues, we propose UniTime for effective cross-domain time series learning.
no code implementations • 7 Sep 2023 • Yu Du, Xu Liu, Yansong Chua
Speech enhancement seeks to extract clean speech from noisy signals.
1 code implementation • 2 Sep 2023 • Shibei Meng, Yang Fu, Saihui Hou, Chunshui Cao, Xu Liu, Yongzhen Huang
Our toolbox supports a set of cutting-edge pose-based gait recognition algorithms and a variety of related benchmarks.
no code implementations • 22 Aug 2023 • Jilong Wang, Saihui Hou, Yan Huang, Chunshui Cao, Xu Liu, Yongzhen Huang, Tianzhu Zhang, Liang Wang
Gait recognition is to seek correct matches for query individuals by their unique walking patterns.
1 code implementation • 25 Jul 2023 • Zhengliang Liu, Tianyang Zhong, Yiwei Li, Yutong Zhang, Yi Pan, Zihao Zhao, Peixin Dong, Chao Cao, Yuxiao Liu, Peng Shu, Yaonai Wei, Zihao Wu, Chong Ma, Jiaqi Wang, Sheng Wang, Mengyue Zhou, Zuowei Jiang, Chunlin Li, Jason Holmes, Shaochen Xu, Lu Zhang, Haixing Dai, Kai Zhang, Lin Zhao, Yuanhao Chen, Xu Liu, Peilong Wang, Pingkun Yan, Jun Liu, Bao Ge, Lichao Sun, Dajiang Zhu, Xiang Li, Wei Liu, Xiaoyan Cai, Xintao Hu, Xi Jiang, Shu Zhang, Xin Zhang, Tuo Zhang, Shijie Zhao, Quanzheng Li, Hongtu Zhu, Dinggang Shen, Tianming Liu
The rise of large language models (LLMs) has marked a pivotal shift in the field of natural language processing (NLP).
1 code implementation • 1 Jul 2023 • Ziqing Wang, Qidong Zhao, Jinku Cui, Xu Liu, Dongkuan Xu
To address these limitations, we introduce AutoST, a training-free NAS method for Spiking Transformers, to rapidly identify high-performance Spiking Transformer architectures.
1 code implementation • NeurIPS 2023 • Xu Liu, Yutong Xia, Yuxuan Liang, Junfeng Hu, Yiwei Wang, Lei Bai, Chao Huang, Zhenguang Liu, Bryan Hooi, Roger Zimmermann
To mitigate these limitations, we introduce the LargeST benchmark dataset.
1 code implementation • 27 Apr 2023 • Yueming Hao, Xu Zhao, Bin Bao, David Berard, Will Constable, Adnan Aziz, Xu Liu
TorchBench is able to comprehensively characterize the performance of the PyTorch software stack, guiding the performance optimization across models, PyTorch framework, and GPU libraries.
no code implementations • 27 Mar 2023 • Xu Liu, Mengyue Zhou, Gaosheng Shi, Yu Du, Lin Zhao, Zihao Wu, David Liu, Tianming Liu, Xintao Hu
Linking computational natural language processing (NLP) models and neural responses to language in the human brain on the one hand facilitates the effort towards disentangling the neural representations underpinning language perception, on the other hand provides neurolinguistics evidence to evaluate and improve NLP models.
2 code implementations • CVPR 2023 • Yanbiao Ma, Licheng Jiao, Fang Liu, Maoji Wen, Lingling Li, Wenping Ma, Shuyuan Yang, Xu Liu, Puhua Chen
To address the challenges of long-tailed classification, researchers have proposed several approaches to reduce model bias, most of which assume that classes with few samples are weak classes.
Ranked #19 on Long-tail Learning on CIFAR-10-LT (ρ=10)
no code implementations • 19 Mar 2023 • Xuqian Ren, Shaopeng Yang, Saihui Hou, Chunshui Cao, Xu Liu, Yongzhen Huang
So to make the pre-trained gait recognition model able to be fine-tuned on unlabeled datasets, we propose a new task: Unsupervised Gait Recognition (UGR).
no code implementations • 6 Feb 2023 • Chao Wang, Licheng Jiao, Jiaxuan Zhao, Lingling Li, Xu Liu, Fang Liu, Shuyuan Yang
It is computationally expensive to determine which LL Pareto weight in the LL Pareto weight set is the most appropriate for each UL solution.
no code implementations • 30 Jan 2023 • Xu Liu, Yuxuan Liang, Chao Huang, Hengchang Hu, Yushi Cao, Bryan Hooi, Roger Zimmermann
Spatio-temporal graph neural networks (STGNN) have become the most popular solution to traffic forecasting.
2 code implementations • CVPR 2023 • Weijia Li, Saihui Hou, Chunjie Zhang, Chunshui Cao, Xu Liu, Yongzhen Huang, Yao Zhao
For the cloth-changing problem, video-based ReID is rarely studied due to the lack of a suitable cloth-changing benchmark, and gait recognition is often researched under controlled conditions.
no code implementations • 30 Dec 2022 • Yanbiao Ma, Licheng Jiao, Fang Liu, Yuxin Li, Shuyuan Yang, Xu Liu
Due to the prevalence of semantic scale imbalance, we propose semantic-scale-balanced learning, including a general loss improvement scheme and a dynamic re-weighting training framework that overcomes the challenge of calculating semantic scales in real-time during iterations.
no code implementations • 6 Dec 2022 • Xu Liu, Jianing Li, Xiaopeng Fan, Yonghong Tian
Event cameras, offering high temporal resolutions and high dynamic ranges, have brought a new perspective to address common challenges (e. g., motion blur and low light) in monocular depth estimation.
no code implementations • 2 Dec 2022 • Haoran Wei, Xu Liu, Shouchun Xu, Zhongjian Dai, Yaping Dai, Xiangyang Xu
In this method, the multi-rate depth-wise dilated convolutions take a simpler role in feature extraction: performing simple semantic-based morphological filtering with one desired receptive field in the second step based on each concise feature map of region form provided by the first step, to improve their efficiency.
no code implementations • 27 Nov 2022 • Rinyoichi Takezoe, Xu Liu, Shunan Mao, Marco Tianyu Chen, Zhanpeng Feng, Shiliang Zhang, Xiaoyu Wang
As an important data selection schema, active learning emerges as the essential component when iterating an Artificial Intelligence (AI) model.
1 code implementation • 9 Sep 2022 • Xianqi Zhang, Xingtao Wang, Xu Liu, Wenrui Wang, Xiaopeng Fan, Debin Zhao
Inspired by this observation, this paper proposes a task-agnostic learning method (TAL for short) that can learn fragmented knowledge from task-agnostic data to accomplish new tasks.
no code implementations • 29 Jul 2022 • Yunjie Peng, Saihui Hou, Chunshui Cao, Xu Liu, Yongzhen Huang, Zhiqiang He
After that, we summarize and compare the performance of recent occluded person Re-ID methods on four popular datasets: Partial-ReID, Partial-iLIDS, Occluded-ReID, and Occluded-DukeMTMC.
no code implementations • 24 Jul 2022 • Xuqian Ren, Saihui Hou, Chunshui Cao, Xu Liu, Yongzhen Huang
Gait recognition is instrumental in crime prevention and social security, for it can be conducted at a long distance to figure out the identity of persons.
no code implementations • 15 Jun 2022 • Xu Liu, Wen Yao, Xiaohu Zheng, Yingchun Xu
To overcome the respective defects of UGF and BN, a novel reliability analysis method called UGF-BN is proposed for the complex MSS.
no code implementations • 14 May 2022 • Xu Liu, Wen Yao, Wei Peng, Weien Zhou
Besides, for inverse PDE problems, problem parameters considered as new output layer weights are unified in a framework with forward PDE problems.
no code implementations • 24 Mar 2022 • Yuting Yang, Licheng Jiao, Xu Liu, Fang Liu, Shuyuan Yang, Zhixi Feng, Xu Tang
Three image tasks and two video tasks of computer vision are investigated.
no code implementations • 29 Jan 2022 • Fei Gao, Peng Geng, Jiaqi Guo, YuAn Liu, Dingfeng Guo, Yabo Su, Jie zhou, Xiao Wei, Jin Li, Xu Liu
We introduce ApolloRL, an open platform for research in reinforcement learning for autonomous driving.
no code implementations • 24 Jan 2022 • Xu Liu, Shuang Li, Ming Xin
The virtual control and adaptive trust-region techniques are employed to improve the accuracy, robustness, and computation efficiency of the algorithm.
1 code implementation • 18 Jan 2022 • Xu Liu, Wei Peng, Zhiqiang Gong, Weien Zhou, Wen Yao
In this work, we develop a physics-informed neural network-based temperature field inversion (PINN-TFI) method to solve the TFI-HSS task and a coefficient matrix condition number based position selection of observations (CMCN-PSO) method to select optima positions of noise observations.
no code implementations • 10 Dec 2021 • Prarthana Bhattacharyya, Yanlei Gu, Jiali Bao, Xu Liu, Shunsuke Kamijo
The driving behavior at urban intersections is very complex.
no code implementations • 29 Nov 2021 • Panjian Huang, Xu Liu, Yongzhen Huang
Our results show that PGGAN-SSIM successfully generates 256x256 realistic brain tumor MR images which fill the real image distribution uncovered by the original dataset.
no code implementations • 15 Nov 2021 • Gengxiang Chen, Yingguang Li, Xu Liu, Qinglu Meng, Jing Zhou, Xiaozhong Hao
During the curing process of composites, the temperature history heavily determines the evolutions of the field of degree of cure as well as the residual stress, which will further influence the mechanical properties of composite, thus it is important to simulate the real temperature history to optimize the curing process of composites.
no code implementations • 6 Oct 2021 • Xingdong Feng, Yuan Gao, Jian Huang, Yuling Jiao, Xu Liu
We propose a relative entropy gradient sampler (REGS) for sampling from unnormalized distributions.
2 code implementations • 14 Sep 2021 • Xu Liu, Guilherme V. Nardari, Fernando Cladera Ojeda, Yuezhan Tao, Alex Zhou, Thomas Donnelly, Chao Qu, Steven W. Chen, Roseli A. F. Romero, Camillo J. Taylor, Vijay Kumar
Semantic maps represent the environment using a set of semantically meaningful objects.
1 code implementation • 26 Aug 2021 • Xu Liu, Yuxuan Liang, Chao Huang, Yu Zheng, Bryan Hooi, Roger Zimmermann
In view of this, one may ask: can we leverage the additional signals from contrastive learning to alleviate data scarcity, so as to benefit STG forecasting?
no code implementations • 3 Aug 2021 • Jing Liu, Bohan Zhuang, Mingkui Tan, Xu Liu, Dinh Phung, Yuanqing Li, Jianfei Cai
More critically, EAS is able to find compact architectures within 0. 1 second for 50 deployment scenarios.
no code implementations • ACL 2021 • Zhicheng Guo, Jiaxuan Zhao, Licheng Jiao, Xu Liu, Lingling Li
Under the question{'}s guidance of progressive attention, we realize the fusion of all-scale video features.
no code implementations • 23 Jul 2021 • Xu Liu, Xiaoya Zhang, Wei Peng, Weien Zhou, Wen Yao
Inspired by this idea, we propose the new Reptile initialization to sample more tasks from the parameterized PDEs and adapt the penalty term of the loss.
no code implementations • 3 Jul 2021 • Xu Liu, Jingzhi Hu, Hongliang Zhang, Boya Di, Lingyang Song
It is a challenge to optimize the positions of the Meta-IoT devices to ensure sensing accuracy of 3D environmental conditions.
no code implementations • 14 Jun 2021 • Zhicheng Guo, Jiaxuan Zhao, Licheng Jiao, Xu Liu
We propose a balanced coarsening scheme for multilevel hypergraph partitioning.
no code implementations • ICCV 2021 • Deng Huang, Wenhao Wu, Weiwen Hu, Xu Liu, Dongliang He, Zhihua Wu, Xiangmiao Wu, Mingkui Tan, Errui Ding
Specifically, we propose two tasks to learn the appearance and speed consistency, respectively.
no code implementations • 4 May 2021 • Qigong Sun, Xiufang Li, Yan Ren, Zhongjian Huang, Xu Liu, Licheng Jiao, Fang Liu
When the precision of quantization is adjusted, it is necessary to fine-tune the quantized model or minimize the quantization noise, which brings inconvenience in practical applications.
no code implementations • IEEE Transactions on Cybernetics 2021 • Xu Liu, Lingling Li, Fang Liu, Biao Hou, Shuyuan Yang, Licheng Jiao
Second, the group spatial attention and group spectral attention modules are proposed to extract image features.
no code implementations • 2 Mar 2021 • Jinyun Zhou, Rui Wang, Xu Liu, Yifei Jiang, Shu Jiang, Jiaming Tao, Jinghao Miao, Shiyu Song
Detailed ablation and visualization analysis are included to further demonstrate each of our proposed modules' effectiveness in our method.
Autonomous Driving Data Augmentation +1 Robotics
no code implementations • 6 Jan 2021 • Xu Liu, Hongbo Zhu, Rui Wang, Yan Bao, Dai Zhou, Zhaolong Han, Chuanqing Zhou, Yegao Qu, Hui Xu
Two control parameters, which are velocity amplitude and wavelength, are considered.
Fluid Dynamics
no code implementations • 17 Dec 2020 • Hongya Song, Yaoguang Ma, Yubing Han, Weidong Shen, Wenyi Zhang, Yanghui Li, Xu Liu, Yifan Peng, Xiang Hao
Computational spectroscopic instruments with Broadband Encoding Stochastic (BEST) filters allow the reconstruction of the spectrum at high precision with only a few filters.
Instrumentation and Detectors
1 code implementation • NeurIPS 2020 • Xu Liu, Chengtao Li, Jian Wang, Jingbo Wang, Boxin Shi, Xiaodong He
In this work, we extended the contextual encoding layer that was originally designed for 2D tasks to 3D Point Cloud scenarios.
1 code implementation • 23 Sep 2020 • Guilherme V. Nardari, Avraham Cohen, Steven W. Chen, Xu Liu, Vaibhav Arcot, Roseli A. F. Romero, Vijay Kumar
In this letter, we present a novel descriptor based on Urquhart tessellations derived from the position of trees in a forest.
no code implementations • 23 Aug 2020 • Jun Qi, Xu Liu, Javier Tejedor
This paper proposes to generalize the variational recurrent neural network (RNN) with variational inference (VI)-based dropout regularization employed for the long short-term memory (LSTM) cells to more advanced RNN architectures like gated recurrent unit (GRU) and bi-directional LSTM/GRU.
1 code implementation • IEEE Transactions on Neural Networks and Learning Systems 2020 • Mengkun Liu, Licheng Jiao, Xu Liu, Lingling Li, Fang Liu, Shuyuan Yang
Second, the spatial-spectral feature fusion strategy is designed to incorporate the spectral features into CNN architecture.
1 code implementation • 14 Jun 2020 • Sixu Hu, Yuan Li, Xu Liu, Qinbin Li, Zhaomin Wu, Bingsheng He
This paper presents and characterizes an Open Application Repository for Federated Learning (OARF), a benchmark suite for federated machine learning systems.
no code implementations • 10 Jun 2020 • Fan Zhang, Licheng Jiao, Lingling Li, Fang Liu, Xu Liu
Small objects are difficult to detect because of their low resolution and small size.
no code implementations • 5 Apr 2020 • Wei Jing, Feng Tian, Jizhong Zhang, Kuo-Ming Chao, Zhenxin Hong, Xu Liu
The main cause of this problem is the loss of discriminative feature due to reduced resolution.
Facial Expression Recognition Facial Expression Recognition (FER) +4
no code implementations • 29 Dec 2019 • Steven W. Chen, Guilherme V. Nardari, Elijah S. Lee, Chao Qu, Xu Liu, Roseli A. F. Romero, Vijay Kumar
This paper describes an end-to-end pipeline for tree diameter estimation based on semantic segmentation and lidar odometry and mapping.
2 code implementations • 16 Dec 2019 • Xu Liu, Licheng Jiao, Fang Liu
In this paper, we have collected five open polarimetric SAR images, which are images of the San Francisco area.
no code implementations • 21 Oct 2019 • Ke Zhan, Shimiao Jiang, Yu Bai, Yi Li, Xu Liu, Zhuoran Xu
Eltwise layer is a commonly used structure in the multi-branch deep learning network.
1 code implementation • 23 Jul 2019 • Qinbin Li, Zeyi Wen, Zhaomin Wu, Sixu Hu, Naibo Wang, Yuan Li, Xu Liu, Bingsheng He
By systematically summarizing the existing federated learning systems, we present the design factors, case studies, and future research opportunities.
no code implementations • 17 Jun 2019 • Xu Liu, Licheng Jiao, Dan Zhang, Fang Liu
In this paper, a novel POLSAR image classification method is proposed based on polarimetric scattering coding and sparse support matrix machine.
no code implementations • 9 Jun 2019 • Qigong Sun, Xiufang Li, Lingling Li, Xu Liu, Fang Liu, Licheng Jiao
However, their interpretation faces some challenges, e. g., deficiency of labeled data, inadequate utilization of data information and so on.
no code implementations • CVPR 2019 • Huanyu Liu, Chao Peng, Changqian Yu, Jingbo Wang, Xu Liu, Gang Yu, Wei Jiang
Panoptic segmentation, which needs to assign a category label to each pixel and segment each object instance simultaneously, is a challenging topic.
1 code implementation • 11 Mar 2019 • Ang Li, Shuaiwen Leon Song, Jieyang Chen, Jiajia Li, Xu Liu, Nathan Tallent, Kevin Barker
High performance multi-GPU computing becomes an inevitable trend due to the ever-increasing demand on computation capability in emerging domains such as deep learning, big data and planet-scale simulations.
Hardware Architecture Distributed, Parallel, and Cluster Computing Networking and Internet Architecture Performance
no code implementations • 4 Nov 2018 • Xu Liu, Steven W. Chen, Chenhao Liu, Shreyas S. Shivakumar, Jnaneshwar Das, Camillo J. Taylor, James Underwood, Vijay Kumar
We present a cheap, lightweight, and fast fruit counting pipeline that uses a single monocular camera.
Robotics
no code implementations • 19 Jul 2018 • Lin Cheng, Xu Liu, Lingling Li, Licheng Jiao, Xu Tang
More recently, a two-stage detector Faster R-CNN is proposed and demonstrated to be a promising tool for object detection in optical remote sensing images, while the sparse and dense characteristic of objects in remote sensing images is complexity.
1 code implementation • 9 Jul 2018 • Xu Liu, Licheng Jiao, Xu Tang, Qigong Sun, Dan Zhang
Based on sparse scattering coding and convolution neural network, the polarimetric convolutional network is proposed to classify PolSAR images by making full use of polarimetric information.
no code implementations • 1 Apr 2018 • Xu Liu, Steven W. Chen, Shreyas Aditya, Nivedha Sivakumar, Sandeep Dcunha, Chao Qu, Camillo J. Taylor, Jnaneshwar Das, Vijay Kumar
We present a novel fruit counting pipeline that combines deep segmentation, frame to frame tracking, and 3D localization to accurately count visible fruits across a sequence of images.
1 code implementation • 22 Dec 2017 • Xu Liu, Lili Zhao, Dajun Ding, Yajiao Dong
This paper proposes an end-to-end deep hashing framework with category mask for fast video retrieval.
1 code implementation • ICCV 2017 • Saihui Hou, Xu Liu, Zilei Wang
Here two parallel neural networks are coordinated to learn complementary features and thus a wider network is constructed.
no code implementations • 22 Aug 2017 • Zheng Tang, Gaoang Wang, Tao Liu, Young-Gun Lee, Adwin Jahn, Xu Liu, Xiaodong He, Jenq-Neng Hwang
In this challenge, we propose a model-based vehicle localization method, which builds a kernel at each patch of the 3D deformable vehicle model and associates them with constraints in 3D space.
1 code implementation • 4 Jul 2017 • Jun Qi, Xu Liu, Javier Tejedor, Shunsuke Kamijo
Unsupervised rank aggregation on score-based permutations, which is widely used in many applications, has not been deeply explored yet.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +4
no code implementations • CVPR 2016 • Xu Liu, Zilei Wang, Jiashi Feng, Hongsheng Xi
HCR hierarchically divides the traffic scenes into different cases according to vehicle density, such that the broad-variation characteristics of traffic scenes can be better approximated.