no code implementations • COLING 2022 • Yuanzhou Yao, Zhao Zhang, Yongjun Xu, Chao Li
To this end, we propose to solve the FKGC problem with the data augmentation technique.
no code implementations • COLING 2022 • Xiaofeng Qi, Chao Li, Zhongping Liang, Jigang Liu, Cheng Zhang, Yuanxin Wei, Lin Yuan, Guang Yang, Lanxiao Huang, Min Li
This paper introduces a generative system for in-battle real-time commentary in mobile MOBA games.
no code implementations • ICML 2020 • Chao Li, Zhun Sun
Tensor network (TN) decomposition is a promising framework to represent extremely high-dimensional problems with few parameters.
no code implementations • Findings (EMNLP) 2021 • Sen yang, Qingyu Zhou, Dawei Feng, Yang Liu, Chao Li, Yunbo Cao, Dongsheng Li
Moreover, this task can be used to improve visual question generation and visual question answering.
no code implementations • 5 Jun 2024 • Juanhua Zhang, Ruodan Yan, Alessandro Perelli, Xi Chen, Chao Li
Our model introduces the physical principles of dMRI in the noise evolution in the diffusion process and introduce a query-based conditional mapping within the difussion model.
no code implementations • 4 Jun 2024 • Hao Chen, Hongrun Zhang, U Wang Chan, Rui Yin, Xiaofei Wang, Chao Li
Single domain generalization aims to address the challenge of out-of-distribution generalization problem with only one source domain available.
no code implementations • 28 May 2024 • Haoyu Hu, Hongrun Zhang, Chao Li
Existing models for brain networks typically primarily focus on brain regions or overlook the complexity of brain connectivities.
no code implementations • 27 May 2024 • Jin Wang, Shichao Dong, Yapeng Zhu, Kelu Yao, Weidong Zhao, Chao Li, Ping Luo
Compositional reasoning capabilities are usually considered as fundamental skills to characterize human perception.
no code implementations • 26 May 2024 • Chao Li, Jinwei Zhang, Hang Zhang, Jiahao Li, Pascal Spincemaille, Thanh D. Nguyen, Yi Wang
Purpose: To develop a pipeline for motion artifact correction in mGRE and quantitative susceptibility mapping (QSM).
no code implementations • 21 May 2024 • Jinyi Deng, Xinru Tang, Zhiheng Yue, Guangyang Lu, Qize Yang, Jiahao Zhang, Jinxi Li, Chao Li, Shaojun Wei, Yang Hu, Shouyi Yin
Given the increasing complexity of AI applications, traditional spatial architectures frequently fall short.
no code implementations • 20 May 2024 • Hao He, Chao Li, Wolfgang Ganglberger, Kaileigh Gallagher, Rumen Hristov, Michail Ouroutzoglou, Haoqi Sun, Jimeng Sun, Brandon Westover, Dina Katabi
The ability to assess sleep at home, capture sleep stages, and detect the occurrence of apnea (without on-body sensors) simply by analyzing the radio waves bouncing off people's bodies while they sleep is quite powerful.
no code implementations • 19 Apr 2024 • Xiaofei Wang, Xingxu Huang, Stephen J. Price, Chao Li
However, current ST platforms suffer from low resolution, hindering in-depth understanding of spatial gene expression.
1 code implementation • 13 Apr 2024 • Binghua Li, Jie Mao, Zhe Sun, Chao Li, Qibin Zhao, Toshihisa Tanaka
Specifically, we introduce a concise multi-scale module to merge attentive features from quadruplet attention layers, and produces attribution maps.
1 code implementation • 5 Apr 2024 • JunHao Chen, Xiang Li, Xiaojun Ye, Chao Li, Zhaoxin Fan, Hao Zhao
The definition of an IDEA is the composition of multimodal inputs including text, image, and 3D models.
no code implementations • 11 Mar 2024 • Zhi Cao, Youneng Bao, Fanyang Meng, Chao Li, Wen Tan, Genhong Wang, Yongsheng Liang
Adversarial training has been validated in image compression models as a common method to enhance model robustness.
1 code implementation • 7 Mar 2024 • 01. AI, :, Alex Young, Bei Chen, Chao Li, Chengen Huang, Ge Zhang, Guanwei Zhang, Heng Li, Jiangcheng Zhu, Jianqun Chen, Jing Chang, Kaidong Yu, Peng Liu, Qiang Liu, Shawn Yue, Senbin Yang, Shiming Yang, Tao Yu, Wen Xie, Wenhao Huang, Xiaohui Hu, Xiaoyi Ren, Xinyao Niu, Pengcheng Nie, Yuchi Xu, Yudong Liu, Yue Wang, Yuxuan Cai, Zhenyu Gu, Zhiyuan Liu, Zonghong Dai
The Yi model family is based on 6B and 34B pretrained language models, then we extend them to chat models, 200K long context models, depth-upscaled models, and vision-language models.
Ranked #1 on Chatbot on AlpacaEval
no code implementations • 1 Mar 2024 • Zhenpeng Huang, Chao Li, Hao Chen, Yongjian Deng, Yifeng Geng, LiMin Wang
Our pre-training overcomes the limitations of previous methods, which either sacrifice temporal information by converting event sequences into 2D images for utilizing pre-trained image models or directly employ paired image data for knowledge distillation to enhance the learning of event streams.
1 code implementation • 29 Feb 2024 • Nuo Xu, Wen Wang, Rong Yang, Mengjie Qin, Zheyuan Lin, Wei Song, Chunlong Zhang, Jason Gu, Chao Li
Object-goal navigation is a challenging task that requires guiding an agent to specific objects based on first-person visual observations.
no code implementations • 4 Feb 2024 • Junhua Zeng, Chao Li, Zhun Sun, Qibin Zhao, Guoxu Zhou
Tensor networks are efficient for extremely high-dimensional representation, but their model selection, known as tensor network structure search (TN-SS), is a challenging problem.
1 code implementation • 4 Feb 2024 • Chao Li, Aojun Zhou, Anbang Yao
We observe that the head structures of mainstream DNNs adopt a similar feature encoding pipeline, exploiting global feature dependencies while disregarding local ones.
no code implementations • 29 Jan 2024 • Guang Lin, Chao Li, Jianhai Zhang, Toshihisa Tanaka, Qibin Zhao
The deep neural networks are known to be vulnerable to well-designed adversarial attacks.
2 code implementations • 31 Dec 2023 • Dimitrios Psychogyios, Emanuele Colleoni, Beatrice van Amsterdam, Chih-Yang Li, Shu-Yu Huang, Yuchong Li, Fucang Jia, Baosheng Zou, Guotai Wang, Yang Liu, Maxence Boels, Jiayu Huo, Rachel Sparks, Prokar Dasgupta, Alejandro Granados, Sebastien Ourselin, Mengya Xu, An Wang, Yanan Wu, Long Bai, Hongliang Ren, Atsushi Yamada, Yuriko Harai, Yuto Ishikawa, Kazuyuki Hayashi, Jente Simoens, Pieter DeBacker, Francesco Cisternino, Gabriele Furnari, Alex Mottrie, Federica Ferraguti, Satoshi Kondo, Satoshi Kasai, Kousuke Hirasawa, Soohee Kim, Seung Hyun Lee, Kyu Eun Lee, Hyoun-Joong Kong, Kui Fu, Chao Li, Shan An, Stefanie Krell, Sebastian Bodenstedt, Nicolas Ayobi, Alejandra Perez, Santiago Rodriguez, Juanita Puentes, Pablo Arbelaez, Omid Mohareri, Danail Stoyanov
Surgical tool segmentation and action recognition are fundamental building blocks in many computer-assisted intervention applications, ranging from surgical skills assessment to decision support systems.
no code implementations • 27 Dec 2023 • Jia Dong, Yao Yao, Liyan Lin, Yang Dong, Jiachen Wan, Ran Peng, Chao Li, Hui Ma
Our experimental results underscore the potential of this fusion network as a powerful tool for computer-aided diagnosis of HCC and ICC, showcasing the benefits and prospects of integrating polarization imaging techniques into the current image-intensive digital pathological diagnosis.
1 code implementation • 7 Dec 2023 • Jiawei Fan, Chao Li, Xiaolong Liu, Meina Song, Anbang Yao
In order to address this problem, we present Augmentation-free Dense Contrastive Knowledge Distillation (Af-DCD), a new contrastive distillation learning paradigm to train compact and accurate deep neural networks for semantic segmentation applications.
1 code implementation • 1 Dec 2023 • Afifa Khaled, Chao Li, Jia Ning, Kun He
Normalization techniques have been widely used in the field of deep learning due to their capability of enabling higher learning rates and are less careful in initialization.
1 code implementation • 22 Nov 2023 • JunHao Chen, Peng Rong, Jingbo Sun, Chao Li, Xiang Li, Hongwu Lv
We introduce a large language model to parse the text and identify stylization goals and specific styles.
1 code implementation • 15 Nov 2023 • Yijie Zhou, Chao Li, Jin Liang, Tianyi Xu, Xin Liu, Jun Xu
The illumination of improperly exposed photographs has been widely corrected using deep convolutional neural networks or Transformers.
no code implementations • 7 Nov 2023 • Jun Sun, Zhongjie Mao, Chao Li, Chao Zhou, Xiao-Jun Wu
The common framework among recent approaches is to train the model on a large amount of unlabelled data with consistency regularization to constrain the model predictions to be invariant to input perturbation.
1 code implementation • NeurIPS 2023 • Siqi Shen, Chennan Ma, Chao Li, Weiquan Liu, Yongquan Fu, Songzhu Mei, Xinwang Liu, Cheng Wang
Multi-agent systems are characterized by environmental uncertainty, varying policies of agents, and partial observability, which result in significant risks.
no code implementations • 28 Oct 2023 • Shentong Mo, Zhun Sun, Chao Li
Data augmentation has become a standard component of vision pre-trained models to capture the invariance between augmented views.
1 code implementation • 23 Sep 2023 • Xiang Li, JunHao Chen, Chao Li, Hongwu Lv
Audio recognition in specialized areas such as birdsong and submarine acoustics faces challenges in large-scale pre-training due to the limitations in available samples imposed by sampling environments and specificity requirements.
1 code implementation • 16 Aug 2023 • Chao Li, Anbang Yao
Dynamic convolution learns a linear mixture of $n$ static kernels weighted with their sample-dependent attentions, demonstrating superior performance compared to normal convolution.
no code implementations • 9 Aug 2023 • Li-Wei Li, Jun Sun, Chao Li, Wei Fang, Vasile Palade, Xiao-Jun Wu
Then, the correlations between the two types of diversities and the search performance are tested and analyzed on several benchmark functions, and the distance-to-average-point diversity is showed to have stronger association with the search performance during the evolving processes.
3 code implementations • 17 Jul 2023 • Chao Li, Zijie Guo, Qiuting He, Hao Xu, Kun He
To this end, we investigate the importance of different meta-paths and introduce an automatic framework for utilizing long-range dependency on heterogeneous graphs, denoted as Long-range Meta-path Search through Progressive Sampling (LMSPS).
Ranked #2 on Node Property Prediction on ogbn-mag
1 code implementation • ICCV 2023 • Donghua Wang, Wen Yao, Tingsong Jiang, Chao Li, Xiaoqian Chen
In this paper, we propose a novel Reflected Light Attack (RFLA), featuring effective and stealthy in both the digital and physical world, which is implemented by placing the color transparent plastic sheet and a paper cut of a specific shape in front of the mirror to create different colored geometries on the target object.
no code implementations • 14 Jul 2023 • Chaoyu Liu, Zhonghua Qiao, Chao Li, Carola-Bibiane Schönlieb
These layers can achieve specific regularization objectives and endow neural networks' outputs with corresponding properties of the evolution models.
1 code implementation • 27 Jun 2023 • Zhijian Hou, Lei Ji, Difei Gao, Wanjun Zhong, Kun Yan, Chao Li, Wing-Kwong Chan, Chong-Wah Ngo, Nan Duan, Mike Zheng Shou
Motivated by this, we leverage a two-stage pre-training strategy to train egocentric feature extractors and the grounding model on video narrations, and further fine-tune the model on annotated data.
no code implementations • 26 Jun 2023 • Moule Lin, WeiPeng Jing, Chao Li, András Jung
The building planar graph reconstruction, a. k. a.
no code implementations • 6 Jun 2023 • Yanwen Fang, Jintai Chen, Peng-Tao Jiang, Chao Li, Yifeng Geng, Eddy K. F. LAM, Guodong Li
Multi-person motion prediction is a challenging task, especially for real-world scenarios of highly interacted persons.
1 code implementation • 1 Jun 2023 • Yingzhi Zhang, Taiguo Li, Chao Li, Xinghong Zhou
In order to solve these problems, this paper proposes a new self-supervised learning method based on masked image modeling for driver distraction behavior detection.
no code implementations • 1 Jun 2023 • Tianyi Xu, Zhanheng Yang, Kaixun Huang, Pengcheng Guo, Ao Zhang, Biao Li, Changru Chen, Chao Li, Lei Xie
By incorporating additional contextual information, deep biasing methods have emerged as a promising solution for speech recognition of personalized words.
no code implementations • 24 May 2023 • Yu-Bang Zheng, Xi-Le Zhao, Junhua Zeng, Chao Li, Qibin Zhao, Heng-Chao Li, Ting-Zhu Huang
To address this issue, we propose a novel TN paradigm, named SVD-inspired TN decomposition (SVDinsTN), which allows us to efficiently solve the TN-SS problem from a regularized modeling perspective, eliminating the repeated structure evaluations.
1 code implementation • 23 May 2023 • Xiaolong Liu, Lujun Li, Chao Li, Anbang Yao
By sequentially splitting the expanded student representation into N non-overlapping feature segments having the same number of feature channels as the teacher's, they can be readily forced to approximate the intact teacher representation simultaneously, formulating a novel many-to-one representation matching mechanism conditioned on a single teacher-student layer pair.
no code implementations • 23 May 2023 • Chengyin Hu, Weiwen Shi, Chao Li, Jialiang Sun, Donghua Wang, Junqi Wu, Guijian Tang
Deep neural networks (DNNs) have made remarkable strides in various computer vision tasks, including image classification, segmentation, and object detection.
no code implementations • 5 May 2023 • Jinwei Zhang, Alexey Dimov, Chao Li, Hang Zhang, Thanh D. Nguyen, Pascal Spincemaille, Yi Wang
Purpose: To improve the generalization ability of convolutional neural network (CNN) based prediction of quantitative susceptibility mapping (QSM) from high-pass filtered phase (HPFP) image.
1 code implementation • 25 Apr 2023 • Chao Li, Junhua Zeng, Chunmei Li, Cesar Caiafa, Qibin Zhao
Tensor network (TN) is a powerful framework in machine learning, but selecting a good TN model, known as TN structure search (TN-SS), is a challenging and computationally intensive task.
no code implementations • 23 Apr 2023 • Chao Li, Hao Xu, Kun He
Meta-structures are widely used to define which subset of neighbors to aggregate information in heterogeneous information networks (HINs).
no code implementations • CVPR 2023 • Ziyu Wan, Christian Richardt, Aljaž Božič, Chao Li, Vijay Rengarajan, Seonghyeon Nam, Xiaoyu Xiang, Tuotuo Li, Bo Zhu, Rakesh Ranjan, Jing Liao
Neural radiance fields (NeRFs) enable novel view synthesis with unprecedented visual quality.
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 • 14 Apr 2023 • Jaime Spencer, C. Stella Qian, Michaela Trescakova, Chris Russell, Simon Hadfield, Erich W. Graf, Wendy J. Adams, Andrew J. Schofield, James Elder, Richard Bowden, Ali Anwar, Hao Chen, Xiaozhi Chen, Kai Cheng, Yuchao Dai, Huynh Thai Hoa, Sadat Hossain, Jianmian Huang, Mohan Jing, Bo Li, Chao Li, Baojun Li, Zhiwen Liu, Stefano Mattoccia, Siegfried Mercelis, Myungwoo Nam, Matteo Poggi, Xiaohua Qi, Jiahui Ren, Yang Tang, Fabio Tosi, Linh Trinh, S. M. Nadim Uddin, Khan Muhammad Umair, Kaixuan Wang, YuFei Wang, Yixing Wang, Mochu Xiang, Guangkai Xu, Wei Yin, Jun Yu, Qi Zhang, Chaoqiang Zhao
This paper discusses the results for the second edition of the Monocular Depth Estimation Challenge (MDEC).
no code implementations • 7 Apr 2023 • Jinwei Zhang, Thanh D. Nguyen, Eddy Solomon, Chao Li, Qihao Zhang, Jiahao Li, Hang Zhang, Pascal Spincemaille, Yi Wang
Results: The retrospective ablation study showed improved image sharpness of mcLARO compared to the baseline network without multi-contrast sampling pattern optimization or image feature fusion, and negligible bias and narrow 95% limits of agreement on regional T1, T2, T2* and QSM values were obtained by the under-sampled reconstructions compared to the fully sampled reconstruction.
no code implementations • 26 Mar 2023 • Xiaofei Wang, Stephen Price, Chao Li
This paper presents a first attempt to jointly predict molecular markers and histology features and model their interactions for classifying diffuse glioma bases on whole slide images.
1 code implementation • 24 Mar 2023 • Ye Mao, Lan Jiang, Xi Chen, Chao Li
Moreover, DisC-Diff leverages a disentangled multi-stream network to fully exploit complementary information from multi-contrast MRI, improving model interpretation under multiple conditions of multi-contrast inputs.
no code implementations • 24 Mar 2023 • Lan Jiang, Ye Mao, Xi Chen, Xiangfeng Wang, Chao Li
Diffusion model has emerged as an effective technique for image synthesis by modelling complex and variable data distributions.
1 code implementation • NeurIPS 2023 • Andong Wang, Chao Li, Mingyuan Bai, Zhong Jin, Guoxu Zhou, Qibin Zhao
Our analysis indicates that the transformed low-rank parameterization can promisingly enhance robust generalization for t-NNs.
no code implementations • 28 Feb 2023 • Xiaoming Ren, Chao Li, Shenjian Wang, Biao Li
Considering the bimodal nature of human speech perception, lips, and teeth movement has a pivotal role in automatic speech recognition.
no code implementations • 9 Feb 2023 • Qi Chen, Chao Li, Jia Ning, Stephen Lin, Kun He
Inspired by the property that ERFs typically exhibit a Gaussian distribution, we propose a Gaussian Mask convolutional kernel (GMConv) in this work.
no code implementations • 27 Jan 2023 • Liu Zhang, Jinyu Lu, Zilong Wang, Chao Li
Inspired by this framework, we develop the Inception neural network that is compatible with the round function of Simeck to improve the accuracy of the neural distinguishers, thus improving the accuracy of (9-12)-round neural distinguishers for Simeck32/64.
no code implementations • 19 Jan 2023 • Hang Zhang, Rongguang Wang, Jinwei Zhang, Dongdong Liu, Chao Li, Jiahao Li
Compared to natural images, medical images usually show stronger visual patterns and therefore this adds flexibility and elasticity to resource-limited clinical applications by injecting proper priors into neural networks.
1 code implementation • 6 Jan 2023 • Chao Li, Chen Gong, Qiang He, Xinwen Hou, Yu Liu
To explicitly encourage exploration in continuous control tasks, we propose CCEP (Centralized Cooperative Exploration Policy), which utilizes underestimation and overestimation of value functions to maintain the capacity of exploration.
no code implementations • ICCV 2023 • Yixing Xu, Chao Li, Dong Li, Xiao Sheng, Fan Jiang, Lu Tian, Ashish Sirasao
In this paper, we propose FDViT to improve the hierarchical architecture of the vision transformer by using a flexible downsampling layer that is not limited to integer stride to smoothly reduce the sizes of the middle feature maps.
no code implementations • ICCV 2023 • Kelu Yao, Jin Wang, Boyu Diao, Chao Li
Deepfake detectors encode multi-order interactions among visual concepts, in which the low-order interactions usually have substantially negative contributions to deepfake detection.
no code implementations • 7 Dec 2022 • Chao Li
Both imitation learning (IL) and learning from demonstrations (LfD) improve the training process by using expert demonstrations, but imperfect expert demonstrations can mislead policy improvement.
no code implementations • 27 Nov 2022 • Chao Li, Hao Xu, Kun He
To address these issues, we propose a novel method called Partial Message Meta Multigraph search (PMMM) to automatically optimize the neural architecture design on HINs.
1 code implementation • 17 Nov 2022 • Jiawei Jiang, Dayan Pan, Houxing Ren, Xiaohan Jiang, Chao Li, Jingyuan Wang
TRL aims to convert complicated raw trajectories into low-dimensional representation vectors, which can be applied to various downstream tasks, such as trajectory classification, clustering, and similarity computation.
1 code implementation • 17 Nov 2022 • Yuxuan Zhou, Zhi-Qi Cheng, Chao Li, Yanwen Fang, Yifeng Geng, Xuansong Xie, Margret Keuper
Skeleton-based action recognition aims to recognize human actions given human joint coordinates with skeletal interconnections.
Ranked #7 on Skeleton Based Action Recognition on NTU RGB+D 120
1 code implementation • 1 Nov 2022 • Jinwei Zhang, Pascal Spincemaille, Hang Zhang, Thanh D. Nguyen, Chao Li, Jiahao Li, Ilhami Kovanlikaya, Mert R. Sabuncu, Yi Wang
In this paper, we present our new framework, called Learned Acquisition and Reconstruction Optimization (LARO), which aims to accelerate the multi-echo gradient echo (mGRE) pulse sequence for QSM.
1 code implementation • 25 Oct 2022 • Lizhao Liu, Kunyang Lin, Shangxin Huang, Zhongli Li, Chao Li, Yunbo Cao, Qingyu Zhou
Moreover, there are no standardized benchmarks to provide a fair comparison between different stroke extraction methods, which, we believe, is a major impediment to the development of Chinese character stroke understanding and related tasks.
1 code implementation • 19 Oct 2022 • Yinghui Li, Shirong Ma, Qingyu Zhou, Zhongli Li, Li Yangning, Shulin Huang, Ruiyang Liu, Chao Li, Yunbo Cao, Haitao Zheng
Chinese Spell Checking (CSC) aims to detect and correct Chinese spelling errors.
no code implementations • 19 Oct 2022 • Xu Yuan, Chen Xu, Qiwei Chen, Tao Zhuang, Hongjie Chen, Chao Li, Junfeng Ge
This paper proposes a Hierarchical Multi-Interest Co-Network (HCN) to capture users' diverse interests in the coarse-grained ranking stage.
no code implementations • 18 Oct 2022 • Shentong Mo, Zhun Sun, Chao Li
Particularly, in the classification down-stream tasks with linear probes, our proposed method outperforms the state-of-the-art instance-wise and prototypical contrastive learning methods on the ImageNet-100 dataset by 2. 96% and the ImageNet-1K dataset by 2. 46% under the same settings of batch size and epochs.
no code implementations • 22 Sep 2022 • Ranran Huang, Jiancheng Cai, Chao Li, Zhuoyuan Wu, Xinmin Liu, Zhenhua Chai
The performance of local feature descriptors degrades in the presence of large rotation variations.
1 code implementation • ICLR 2022 • Chao Li, Aojun Zhou, Anbang Yao
Learning a single static convolutional kernel in each convolutional layer is the common training paradigm of modern Convolutional Neural Networks (CNNs).
no code implementations • 16 Sep 2022 • Kai Zhang, Qinmin Yang, Chao Li
Multivariate time series(MTS) is a universal data type related to many practical applications.
no code implementations • 31 Aug 2022 • Yunhao Wang, Huixin Sun, Xiaodi Wang, Bin Zhang, Chao Li, Ying Xin, Baochang Zhang, Errui Ding, Shumin Han
We develop a simple but effective module to explore the full potential of transformers for visual representation by learning fine-grained and coarse-grained features at a token level and dynamically fusing them.
1 code implementation • COLING 2022 • Yusen Zhang, Zhongli Li, Qingyu Zhou, Ziyi Liu, Chao Li, Mina Ma, Yunbo Cao, Hongzhi Liu
To automatically correct handwritten assignments, the traditional approach is to use an OCR model to recognize characters and compare them to answers.
no code implementations • 18 Aug 2022 • Shentong Mo, Zhun Sun, Chao Li
One of the drawbacks of CSL is that the loss term requires a large number of negative samples to provide better mutual information bound ideally.
3 code implementations • ICCV 2023 • Wangmeng Xiang, Chao Li, Yuxuan Zhou, Biao Wang, Lei Zhang
More specifically, we employ a pre-trained large-scale language model as the knowledge engine to automatically generate text descriptions for body parts movements of actions, and propose a multi-modal training scheme by utilizing the text encoder to generate feature vectors for different body parts and supervise the skeleton encoder for action representation learning.
Ranked #6 on Skeleton Based Action Recognition on N-UCLA
1 code implementation • 27 Jul 2022 • Wangmeng Xiang, Chao Li, Biao Wang, Xihan Wei, Xian-Sheng Hua, Lei Zhang
For 3D video-based tasks such as action recognition, however, directly applying spatiotemporal transformers on video data will bring heavy computation and memory burdens due to the largely increased number of patches and the quadratic complexity of self-attention computation.
Ranked #9 on Action Recognition on Diving-48
1 code implementation • 9 Jul 2022 • Shihao Zou, Yuanlu Xu, Chao Li, Lingni Ma, Li Cheng, Minh Vo
In this paper, we propose Snipper, a unified framework to perform multi-person 3D pose estimation, tracking, and motion forecasting simultaneously in a single stage.
no code implementations • 29 Jun 2022 • Guan Shen, Jieru Zhao, Quan Chen, Jingwen Leng, Chao Li, Minyi Guo
However, the quadratic complexity of self-attention w. r. t the sequence length incurs heavy computational and memory burdens, especially for tasks with long sequences.
1 code implementation • 15 Jun 2022 • Yuxuan Zhou, Wangmeng Xiang, Chao Li, Biao Wang, Xihan Wei, Lei Zhang, Margret Keuper, Xiansheng Hua
Unlike convolutional inductive biases, which are forced to focus exclusively on hard-coded local regions, our proposed SPs are learned by the model itself and take a variety of spatial relations into account.
Ranked #152 on Image Classification on ImageNet
1 code implementation • 14 Jun 2022 • Chao Li, Junhua Zeng, Zerui Tao, Qibin Zhao
Recent works put much effort into tensor network structure search (TN-SS), aiming to select suitable tensor network (TN) structures, involving the TN-ranks, formats, and so on, for the decomposition or learning tasks.
no code implementations • 27 Apr 2022 • Chao Li, Yanan You, Wenli Zhou
3) With the guidance of convolution features, we define the cost function from both positive and negative sides.
no code implementations • 10 Apr 2022 • Chao Li, Jia Ning, Han Hu, Kun He
Differentiable architecture search (DARTS) has attracted much attention due to its simplicity and significant improvement in efficiency.
no code implementations • 21 Mar 2022 • Yiran Wei, Xi Chen, Lei Zhu, Lipei Zhang, Carola-Bibiane Schönlieb, Stephen J. Price, Chao Li
In this study, we propose a multi-modal learning framework using three separate encoders to extract features of focal tumor image, tumor geometrics and global brain networks.
1 code implementation • Findings (ACL) 2022 • Shaopeng Lai, Qingyu Zhou, Jiali Zeng, Zhongli Li, Chao Li, Yunbo Cao, Jinsong Su
First, they simply mix additionally-constructed training instances and original ones to train models, which fails to help models be explicitly aware of the procedure of gradual corrections.
no code implementations • 8 Mar 2022 • Yiran Wei, Stephen J. Price, Carola-Bibiane Schönlieb, Chao Li
In this study, we develop a self-supervised contrastive learning approach to generate structural brain networks from routine anatomical MRI under the guidance of diffusion MRI.
no code implementations • Applied Intelligence 2022 • Chao Li, Shifei Ding, Xiao Xu, Shuying Du & Tianhao Shi
Density peaks clustering (DPC) algorithm provides an efficient method to quickly find cluster centers with decision graphs.
no code implementations • 8 Mar 2022 • Lipei Zhang, Yiran Wei, Ying Fu, Stephen Price, Carola-Bibiane Schönlieb, Chao Li
In this proposed scheme, we design a normalized modality contrastive loss (NMC-loss), which could promote to disentangle multi-modality complementary representation of FFPE and frozen sections from the same patient.
no code implementations • 7 Mar 2022 • Jialiang Sun, Wen Yao, Tingsong Jiang, Chao Li, Xiaoqian Chen
To alleviate these problems, in this paper, we first propose a novel platform called auto adversarial attack and defense ($A^{3}D$), which can help search for robust neural network architectures and efficient adversarial attacks.
no code implementations • 4 Mar 2022 • Youneng Bao, Fangyang Meng, Wen Tan, Chao Li, Yonghong Tian, Yongsheng Liang
In the view of TSM, the existing transformation methods are mathematically reduced to a linear modulation.
no code implementations • Findings (ACL) 2022 • Yinghui Li, Qingyu Zhou, Yangning Li, Zhongli Li, Ruiyang Liu, Rongyi Sun, Zizhen Wang, Chao Li, Yunbo Cao, Hai-Tao Zheng
However, there exists a gap between the learned knowledge of PLMs and the goal of CSC task.
no code implementations • 9 Feb 2022 • Shanzhi Yin, Chao Li, Wen Tan, Youneng Bao, Yongsheng Liang, Wei Liu
Neural image compression have reached or out-performed traditional methods (such as JPEG, BPG, WebP).
no code implementations • 14 Jan 2022 • Yiran Wei, Chao Li, Xi Chen, Carola-Bibiane Schönlieb, Stephen J. Price
Further, the collaborative learning model achieves better performance than either the CNN or the GNN alone.
1 code implementation • 11 Jan 2022 • Jinyu Lu, Guoqiang Liu, Bing Sun, Chao Li, Li Liu
In CRYPTO 2019, Gohr made a pioneering attempt and successfully applied deep learning to the differential cryptanalysis against NSA block cipher SPECK32/64, achieving higher accuracy than the pure differential distinguishers.
1 code implementation • Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2021 • Dixi Yao, Liyao Xiang, Zifan Wang, Jiayu Xu, Chao Li, Xinbing Wang
Experimental results show that our system not only adapts well to, but also draws on the varying contexts, delivering a practical and efficient solution to edge-cloud model training.
Ranked #2 on Recommendation Systems on MovieLens 1M (Precision metric)
no code implementations • 18 Nov 2021 • Shanzhi Yin, Chao Li, Youneng Bao, Yongsheng Liang
Recently, Learning-based image compression has reached comparable performance with traditional image codecs(such as JPEG, BPG, WebP).
no code implementations • 11 Nov 2021 • Zhao Zhang, Fuzhen Zhuang, HengShu Zhu, Chao Li, Hui Xiong, Qing He, Yongjun Xu
This will lead to low-quality and unreliable representations of KGs.
1 code implementation • International Conference on Advances in Geographic Information Systems 2021 • Jingyuan Wang, Jiawei Jiang, Wenjun Jiang, Chao Li, Wayne Xin Zhao
This paper presents LibCity, a unified, comprehensive, and extensible library for traffic prediction, which provides researchers with a credible experimental tool and a convenient development framework.
Multivariate Time Series Forecasting Spatio-Temporal Forecasting +2
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 • Findings (ACL) 2022 • Zhongli Li, Wenxuan Zhang, Chao Yan, Qingyu Zhou, Chao Li, Hongzhi Liu, Yunbo Cao
Math Word Problem (MWP) solving needs to discover the quantitative relationships over natural language narratives.
1 code implementation • 15 Oct 2021 • Yinpeng Dong, Qi-An Fu, Xiao Yang, Wenzhao Xiang, Tianyu Pang, Hang Su, Jun Zhu, Jiayu Tang, Yuefeng Chen, Xiaofeng Mao, Yuan He, Hui Xue, Chao Li, Ye Liu, Qilong Zhang, Lianli Gao, Yunrui Yu, Xitong Gao, Zhe Zhao, Daquan Lin, Jiadong Lin, Chuanbiao Song, ZiHao Wang, Zhennan Wu, Yang Guo, Jiequan Cui, Xiaogang Xu, Pengguang Chen
Due to the vulnerability of deep neural networks (DNNs) to adversarial examples, a large number of defense techniques have been proposed to alleviate this problem in recent years.
8 code implementations • CVPR 2022 • Kristen Grauman, Andrew Westbury, Eugene Byrne, Zachary Chavis, Antonino Furnari, Rohit Girdhar, Jackson Hamburger, Hao Jiang, Miao Liu, Xingyu Liu, Miguel Martin, Tushar Nagarajan, Ilija Radosavovic, Santhosh Kumar Ramakrishnan, Fiona Ryan, Jayant Sharma, Michael Wray, Mengmeng Xu, Eric Zhongcong Xu, Chen Zhao, Siddhant Bansal, Dhruv Batra, Vincent Cartillier, Sean Crane, Tien Do, Morrie Doulaty, Akshay Erapalli, Christoph Feichtenhofer, Adriano Fragomeni, Qichen Fu, Abrham Gebreselasie, Cristina Gonzalez, James Hillis, Xuhua Huang, Yifei HUANG, Wenqi Jia, Weslie Khoo, Jachym Kolar, Satwik Kottur, Anurag Kumar, Federico Landini, Chao Li, Yanghao Li, Zhenqiang Li, Karttikeya Mangalam, Raghava Modhugu, Jonathan Munro, Tullie Murrell, Takumi Nishiyasu, Will Price, Paola Ruiz Puentes, Merey Ramazanova, Leda Sari, Kiran Somasundaram, Audrey Southerland, Yusuke Sugano, Ruijie Tao, Minh Vo, Yuchen Wang, Xindi Wu, Takuma Yagi, Ziwei Zhao, Yunyi Zhu, Pablo Arbelaez, David Crandall, Dima Damen, Giovanni Maria Farinella, Christian Fuegen, Bernard Ghanem, Vamsi Krishna Ithapu, C. V. Jawahar, Hanbyul Joo, Kris Kitani, Haizhou Li, Richard Newcombe, Aude Oliva, Hyun Soo Park, James M. Rehg, Yoichi Sato, Jianbo Shi, Mike Zheng Shou, Antonio Torralba, Lorenzo Torresani, Mingfei Yan, Jitendra Malik
We introduce Ego4D, a massive-scale egocentric video dataset and benchmark suite.
no code implementations • 4 Sep 2021 • Yiran Wei, Yonghao Li, Xi Chen, Carola-Bibiane Schönlieb, Chao Li, Stephen J. Price
Here we propose a method to predict IDH mutation using GNN, based on the structural brain network of patients.
no code implementations • 21 Aug 2021 • Zihao Huang, Zhe Sun, Feng Duan, Andrzej Cichocki, Peiying Ruan, Chao Li
To tackle this, we propose L3C-Stereo, a multi-scale lossless compression model consisting of two main modules: the warping module and the probability estimation module.
no code implementations • 21 Aug 2021 • YiFan Li, Chao Li, Yiran Wei, Stephen Price, Carola-Bibiane Schönlieb, Xi Chen
In this paper, we propose an adaptive unsupervised learning approach for efficient MRI intra-tumor partitioning and glioblastoma survival prediction.
1 code implementation • 10 Aug 2021 • Qiwei Chen, Changhua Pei, Shanshan Lv, Chao Li, Junfeng Ge, Wenwu Ou
Recently, researchers have found that the performance of CTR model can be improved greatly by taking user behavior sequence into consideration, especially long-term user behavior sequence.
no code implementations • 10 Aug 2021 • Balagopal Unnikrishnan, Cuong Nguyen, Shafa Balaram, Chao Li, Chuan Sheng Foo, Pavitra Krishnaswamy
Specifically, we describe adaptations for scenarios with 2D and 3D inputs, uni and multi-label classification, and class distribution mismatch between labeled and unlabeled portions of the training data.
1 code implementation • 6 Jul 2021 • Kun He, Chao Li, Yixiao Yang, Gao Huang, John E. Hopcroft
We first propose a simple yet efficient implementation of the convolution using circular kernels, and empirically show the significant advantages of large circular kernels over the counterpart square kernels.
1 code implementation • 5 Jul 2021 • Yipeng Zhou, Xuezheng Liu, Yao Fu, Di wu, Chao Li, Shui Yu
In this work, we study a crucial question which has been vastly overlooked by existing works: what are the optimal numbers of queries and replies in FL with DP so that the final model accuracy is maximized.
no code implementations • 15 Jun 2021 • Akarsh Prabhakara, Diana Zhang, Chao Li, Sirajum Munir, Aswin Sankanaryanan, Anthony Rowe, Swarun Kumar
mmWave radars offer excellent depth resolution even at very long ranges owing to their high bandwidth.
no code implementations • 29 May 2021 • Yi-Si Luo, Xi-Le Zhao, Tai-Xiang Jiang, Yi Chang, Michael K. Ng, Chao Li
Recently, transform-based tensor nuclear norm minimization methods are considered to capture low-rank tensor structures to recover third-order tensors in multi-dimensional image processing applications.
1 code implementation • Findings (ACL) 2021 • Heng-Da Xu, Zhongli Li, Qingyu Zhou, Chao Li, Zizhen Wang, Yunbo Cao, Heyan Huang, Xian-Ling Mao
Chinese Spell Checking (CSC) aims to detect and correct erroneous characters for user-generated text in the Chinese language.
Ranked #2 on Chinese Spell Checking on SIGHAN 2015
no code implementations • NeurIPS 2021 • Chao Li, Junhua Zeng, Zerui Tao, Qibin Zhao
Recent works paid effort on the structure search issue for tensor network (TN) representation, of which the aim is to select the optimal network for TN contraction to fit a tensor.
no code implementations • 20 May 2021 • Miao Liu, Lingni Ma, Kiran Somasundaram, Yin Li, Kristen Grauman, James M. Rehg, Chao Li
Given a video captured from a first person perspective and the environment context of where the video is recorded, can we recognize what the person is doing and identify where the action occurs in the 3D space?
no code implementations • 4 May 2021 • Chao Li, Hang Zhang, Jinwei Zhang, Pascal Spincemaille, Thanh D. Nguyen, Yi Wang
An approach to reduce motion artifacts in Quantitative Susceptibility Mapping using deep learning is proposed.
1 code implementation • 28 Apr 2021 • Manyu Zhu, Dongliang He, Xin Li, Chao Li, Fu Li, Xiao Liu, Errui Ding, Zhaoxiang Zhang
Inpainting arbitrary missing regions is challenging because learning valid features for various masked regions is nontrivial.
Ranked #4 on Image Inpainting on CelebA-HQ
no code implementations • 10 Mar 2021 • Jinwei Zhang, Hang Zhang, Chao Li, Pascal Spincemaille, Mert Sabuncu, Thanh D. Nguyen, Yi Wang
Quantitative imaging in MRI usually involves acquisition and reconstruction of a series of images at multi-echo time points, which possibly requires more scan time and specific reconstruction technique compared to conventional qualitative imaging.
no code implementations • 10 Mar 2021 • Chao Li, Yiran Wei, Xi Chen, Carola-Bibiane Schonlieb
The proposed BrainNetGAN is a generative adversarial network variant to augment the brain structural connectivity matrices for binary dementia classification tasks.
1 code implementation • 6 Mar 2021 • Hang Zhang, Rongguang Wang, Jinwei Zhang, Chao Li, Gufeng Yang, Pascal Spincemaille, Thanh Nguyen, Yi Wang
We introduce Neural Representation of Distribution (NeRD) technique, a module for convolutional neural networks (CNNs) that can estimate the feature distribution by optimizing an underlying function mapping image coordinates to the feature distribution.
1 code implementation • 2 Mar 2021 • Hejia Qiu, Chao Li, Ying Weng, Zhun Sun, Xingyu He, Qibin Zhao
Tensor-power (TP) recurrent model is a family of non-linear dynamical systems, of which the recurrence relation consists of a p-fold (a. k. a., degree-p) tensor product.
1 code implementation • 2 Feb 2021 • Runhua Xu, Chao Li, James Joshi
We also formally show the security guarantee provided by TAB, and analyze the privacy guarantee and trustworthiness it provides.
Cryptography and Security Networking and Internet Architecture
2 code implementations • 26 Jan 2021 • Qinwei Lin, Chao Li, Xifeng Zhao, Xianhai Chen
Decentralization has been widely acknowledged as a core virtue of blockchains.
Cryptography and Security Databases
no code implementations • 21 Jan 2021 • Chao Li, Wenjian Huang, Xi Chen, Yiran Wei, Stephen J. Price, Carola-Bibiane Schönlieb
EMReDL showed to effectively segment the infiltrated tumor from the partially labelled region of potential infiltration.
no code implementations • 11 Jan 2021 • Yao Fu, Yipeng Zhou, Di wu, Shui Yu, Yonggang Wen, Chao Li
Then, we theoretically derive: 1) the conditions for the DP based FedAvg to converge as the number of global iterations (GI) approaches infinity; 2) the method to set the number of local iterations (LI) to minimize the negative influence of DP noises.
no code implementations • 4 Jan 2021 • Jenn-Bing Ong, Wee-Keong Ng, Ivan Tjuawinata, Chao Li, Jielin Yang, Sai None Myne, Huaxiong Wang, Kwok-Yan Lam, C. -C. Jay Kuo
The distributed tensor representations are dispersed on multiple clouds / fogs or servers / devices with metadata privacy, this provides both distributed trust and management to seamlessly secure big data storage, communication, sharing, and computation.
no code implementations • ICCV 2021 • Chao Li, Shangqian Gao, Cheng Deng, Wei Liu, Heng Huang
Specifically, given a target model, we first construct its substitute model to exploit cross-modal correlations within hamming space, with which we create adversarial examples by limitedly querying from a target model.
1 code implementation • Findings (ACL) 2021 • Zhongli Li, Qingyu Zhou, Chao Li, Ke Xu, Yunbo Cao
Pre-trained Transformer-based neural language models, such as BERT, have achieved remarkable results on varieties of NLP tasks.
1 code implementation • 18 Dec 2020 • Runhua Xu, James Joshi, Chao Li
We propose a novel framework, NN-EMD, to train DNN over multiple encrypted datasets collected from multiple sources.
no code implementations • 5 Dec 2020 • YiFan Li, Chao Li, Stephen Price, Carola-Bibiane Schönlieb, Xi Chen
Although successful in tumor sub-region segmentation and survival prediction, radiomics based on machine learning algorithms, is challenged by its robustness, due to the vague intermediate process and track changes.
no code implementations • COLING 2020 • Yue Guan, Jingwen Leng, Chao Li, Quan Chen, Minyi Guo
Recent research on the multi-head attention mechanism, especially that in pre-trained models such as BERT, has shown us heuristics and clues in analyzing various aspects of the mechanism.
no code implementations • 6 Nov 2020 • Yangchun Yan, Rongzuo Guo, Chao Li, Kang Yang, Yongjun Xu
However, these methods ignore a small part of weights in the next layer which disappears as the feature map is removed.
no code implementations • 4 Nov 2020 • Nilanjan Goswami, Amer Qouneh, Chao Li, Tao Li
Growing deployment of power and energy efficient throughput accelerators (GPU) in data centers demands enhancement of power-performance co-optimization capabilities of GPUs.
Distributed, Parallel, and Cluster Computing Hardware Architecture Graphics
no code implementations • 2 Nov 2020 • Yue Guan, Jingwen Leng, Chao Li, Quan Chen, Minyi Guo
Recent research on the multi-head attention mechanism, especially that in pre-trained models such as BERT, has shown us heuristics and clues in analyzing various aspects of the mechanism.
1 code implementation • 24 Oct 2020 • wei he, Quanming Yao, Chao Li, Naoto Yokoya, Qibin Zhao, Hongyan zhang, Liangpei Zhang
Non-local low-rank tensor approximation has been developed as a state-of-the-art method for hyperspectral image (HSI) restoration, which includes the tasks of denoising, compressed HSI reconstruction and inpainting.
no code implementations • 2 Sep 2020 • Zhihui Zhang, Jingwen Leng, Lingxiao Ma, Youshan Miao, Chao Li, Minyi Guo
Graph neural networks (GNN) represent an emerging line of deep learning models that operate on graph structures.
no code implementations • 1 Aug 2020 • Guanghao Yin, Shou-qian Sun, Chao Li, Xin Min
Firstly, the downsampling degradation GAN(DD-GAN) is trained to model the degradation and produces more various of LR images, which is validated to be efficient for data augmentation.
1 code implementation • 29 Jul 2020 • Fanfan Ye, ShiLiang Pu, Qiaoyong Zhong, Chao Li, Di Xie, Huiming Tang
The key lies in the design of the graph structure, which encodes skeleton topology information.
no code implementations • ECCV 2020 • Chao Li, Xiaohu Guo
In the classic volumetric fusion-based framework, a mesh is usually extracted from the TSDF volume as the canonical surface representation to help estimating deformation field.
no code implementations • 23 Jun 2020 • Jianrong Xu, Boyu Diao, Bifeng Cui, Kang Yang, Chao Li, Yongjun Xu
Deep learning has achieved impressive results in many areas, but the deployment of edge intelligent devices is still very slow.
no code implementations • 5 May 2020 • Dario Fuoli, Zhiwu Huang, Martin Danelljan, Radu Timofte, Hua Wang, Longcun Jin, Dewei Su, Jing Liu, Jaehoon Lee, Michal Kudelski, Lukasz Bala, Dmitry Hrybov, Marcin Mozejko, Muchen Li, Si-Yao Li, Bo Pang, Cewu Lu, Chao Li, Dongliang He, Fu Li, Shilei Wen
For track 2, some existing methods are evaluated, showing promising solutions to the weakly-supervised video quality mapping problem.
no code implementations • 3 May 2020 • Kai Zhang, Shuhang Gu, Radu Timofte, Taizhang Shang, Qiuju Dai, Shengchen Zhu, Tong Yang, Yandong Guo, Younghyun Jo, Sejong Yang, Seon Joo Kim, Lin Zha, Jiande Jiang, Xinbo Gao, Wen Lu, Jing Liu, Kwangjin Yoon, Taegyun Jeon, Kazutoshi Akita, Takeru Ooba, Norimichi Ukita, Zhipeng Luo, Yuehan Yao, Zhenyu Xu, Dongliang He, Wenhao Wu, Yukang Ding, Chao Li, Fu Li, Shilei Wen, Jianwei Li, Fuzhi Yang, Huan Yang, Jianlong Fu, Byung-Hoon Kim, JaeHyun Baek, Jong Chul Ye, Yuchen Fan, Thomas S. Huang, Junyeop Lee, Bokyeung Lee, Jungki Min, Gwantae Kim, Kanghyu Lee, Jaihyun Park, Mykola Mykhailych, Haoyu Zhong, Yukai Shi, Xiaojun Yang, Zhijing Yang, Liang Lin, Tongtong Zhao, Jinjia Peng, Huibing Wang, Zhi Jin, Jiahao Wu, Yifu Chen, Chenming Shang, Huanrong Zhang, Jeongki Min, Hrishikesh P. S, Densen Puthussery, Jiji C. V
This paper reviews the NTIRE 2020 challenge on perceptual extreme super-resolution with focus on proposed solutions and results.
no code implementations • 18 Feb 2020 • Cong Guo, Yangjie Zhou, Jingwen Leng, Yuhao Zhu, Zidong Du, Quan Chen, Chao Li, Bin Yao, Minyi Guo
We propose Simultaneous Multi-mode Architecture (SMA), a novel architecture design and execution model that offers general-purpose programmability on DNN accelerators in order to accelerate end-to-end applications.
no code implementations • 29 Jan 2020 • Zihao Huang, Chao Li, Feng Duan, Qibin Zhao
It is a challenging task to restore images from their variants with combined distortions.
no code implementations • 6 Jan 2020 • Wei He, Yong Chen, Naoto Yokoya, Chao Li, Qibin Zhao
In this paper, we propose a new model, named coupled tensor ring factorization (CTRF), for HSR.
1 code implementation • NeurIPS 2019 • Chao Li, Shangqian Gao, Cheng Deng, De Xie, Wei Liu
Extensive experiments on two cross-modal benchmark datasets show that the adversarial examples produced by our CMLA are efficient in fooling a target deep cross-modal hashing network.
2 code implementations • CVPR 2020 • Chao Li, Yixiao Yang, Kun He, Stephen Lin, John E. Hopcroft
IBCLN is a cascaded network that iteratively refines the estimates of transmission and reflection layers in a manner that they can boost the prediction quality to each other, and information across steps of the cascade is transferred using an LSTM.
Ranked #2 on Reflection Removal on SIR^2(Postcard)
no code implementations • 14 Oct 2019 • Fan Yang, Xiao Liu, Dongliang He, Chuang Gan, Jian Wang, Chao Li, Fu Li, Shilei Wen
In this work, we introduce a new problem, named as {\em story-preserving long video truncation}, that requires an algorithm to automatically truncate a long-duration video into multiple short and attractive sub-videos with each one containing an unbroken story.
1 code implementation • 8 Oct 2019 • Chao Li, Kun He, Guangshuai Liu, John E. Hopcroft
Results: We propose a method called HirHide (Hierarchical Hidden Community Detection), which can be combined with traditional community detection methods to enable them to discover hierarchical hidden communities.
Molecular Networks
1 code implementation • ICCV 2019 • Chaohao Xie, Shaohui Liu, Chao Li, Ming-Ming Cheng, WangMeng Zuo, Xiao Liu, Shilei Wen, Errui Ding
Most convolutional network (CNN)-based inpainting methods adopt standard convolution to indistinguishably treat valid pixels and holes, making them limited in handling irregular holes and more likely to generate inpainting results with color discrepancy and blurriness.
Ranked #2 on Image Inpainting on Paris StreetView
1 code implementation • 26 Aug 2019 • Chuanguang Yang, Zhulin An, Hui Zhu, Xiaolong Hu, Kun Zhang, Kaiqiang Xu, Chao Li, Yongjun Xu
We propose a simple yet effective method to reduce the redundancy of DenseNet by substantially decreasing the number of stacked modules by replacing the original bottleneck by our SMG module, which is augmented by local residual.
Ranked #60 on Image Classification on CIFAR-10
2 code implementations • 26 Aug 2019 • Xin Li, Tianwei Lin, Xiao Liu, Chuang Gan, WangMeng Zuo, Chao Li, Xiang Long, Dongliang He, Fu Li, Shilei Wen
In this paper, we empirically find that stacking more conventional temporal convolution layers actually deteriorates action classification performance, possibly ascribing to that all channels of 1D feature map, which generally are highly abstract and can be regarded as latent concepts, are excessively recombined in temporal convolution.
no code implementations • 10 Aug 2019 • Guanghao Yin, Shou-qian Sun, HUI ZHANG, Dian Yu, Chao Li, Ke-jun Zhang, Ning Zou
To the best of author's knowledge, our method is the first attempt to classify large scale subject-independent emotion with 7962 pieces of EDA signals from 457 subjects.
no code implementations • WS 2019 • Lena Shakurova, Beata Nyari, Chao Li, Mihai Rotaru
Cross-lingual embeddings aim to represent words in multiple languages in a shared vector space by capturing semantic similarities across languages.
no code implementations • 2 Jun 2019 • Chuanguang Yang, Zhulin An, Chao Li, Boyu Diao, Yongjun Xu
In this work, we propose a heuristic genetic algorithm (GA) for pruning convolutional neural networks (CNNs) according to the multi-objective trade-off among error, computation and sparsity.
1 code implementation • CVPR 2019 • Chao Li, Qiaoyong Zhong, Di Xie, Shiliang Pu
By sharing the convolution kernels of different views, spatial and temporal features are collaboratively learned and thus benefit from each other.
Ranked #18 on Action Classification on MiT
no code implementations • CVPR 2019 • Chao Li, Wei He, Longhao Yuan, Zhun Sun, Qibin Zhao
Low-rank matrix completion (LRMC) is a classical model in both computer vision (CV) and machine learning, and has been successfully applied to various real applications.
no code implementations • 7 May 2019 • Chao Li, Dongliang He, Xiao Liu, Yukang Ding, Shilei Wen
Recently, image super-resolution has been widely studied and achieved significant progress by leveraging the power of deep convolutional neural networks.
1 code implementation • 6 May 2019 • Wen Chen, Pipei Huang, Jiaming Xu, Xin Guo, Cheng Guo, Fei Sun, Chao Li, Andreas Pfadler, Huan Zhao, Binqiang Zhao
In particular, there exist two requirements for fashion outfit recommendation: the Compatibility of the generated fashion outfits, and the Personalization in the recommendation process.
no code implementations • CVPR 2019 • Yuxian Qiu, Jingwen Leng, Cong Guo, Quan Chen, Chao Li, Minyi Guo, Yuhao Zhu
Recently, researchers have started decomposing deep neural network models according to their semantics or functions.
5 code implementations • 17 Apr 2019 • Chao Li, Zhiyuan Liu, Mengmeng Wu, Yuchi Xu, Pipei Huang, Huan Zhao, Guoliang Kang, Qiwei Chen, Wei Li, Dik Lun Lee
Industrial recommender systems usually consist of the matching stage and the ranking stage, in order to handle the billion-scale of users and items.
Ranked #1 on Information Retrieval on Amazon
no code implementations • 16 Apr 2019 • Erkun Yang, Cheng Deng, Chao Li, Wei Liu, Jie Li, DaCheng Tao
In this paper, we propose a deep quantization approach, which is among the early attempts of leveraging deep neural networks into quantization-based cross-modal similarity search.
1 code implementation • 15 Apr 2019 • Runhua Xu, James B. D. Joshi, Chao Li
To tackle the above issue, we propose a CryptoNN framework that supports training a neural network model over encrypted data by using the emerging functional encryption scheme instead of SMC or HE.
no code implementations • 10 Apr 2019 • Cheng Deng, Xianglong Liu, Chao Li, DaCheng Tao
Recent years have witnessed the quick progress of the hyperspectral images (HSI) classification.
no code implementations • 4 Apr 2019 • Cheng Deng, Yumeng Xue, Xianglong Liu, Chao Li, DaCheng Tao
The advantages of our proposed method are threefold: 1) the network can be effectively trained using only limited labeled samples with the help of novel active learning strategies; 2) the network is flexible and scalable enough to function across various transfer situations, including cross-dataset and intra-image; 3) the learned deep joint spectral-spatial feature representation is more generic and robust than many joint spectral-spatial feature representation.
no code implementations • 21 Mar 2019 • Jinshi Yu, Chao Li, Qibin Zhao, Guoxu Zhou
Tensor ring (TR) decomposition has been successfully used to obtain the state-of-the-art performance in the visual data completion problem.
1 code implementation • 7 Mar 2019 • Steffen Eger, Chao Li, Florian Netzer, Iryna Gurevych
By extrapolation, we predict that these topics will remain lead problems/approaches in their fields in the short- and mid-term.
no code implementations • 6 Mar 2019 • De Xie, Cheng Deng, Hao Wang, Chao Li, Dapeng Tao
Two-stream architecture have shown strong performance in video classification task.
no code implementations • 6 Mar 2019 • Chao Li, Cheng Deng, Lei Wang, De Xie, Xianglong Liu
In recent years, hashing has attracted more and more attention owing to its superior capacity of low storage cost and high query efficiency in large-scale cross-modal retrieval.
1 code implementation • 4 Mar 2019 • Chao Li, Qiaoyong Zhong, Di Xie, ShiLiang Pu
By sharing the convolution kernels of different views, spatial and temporal features are collaboratively learned and thus benefit from each other.
Action Recognition In Videos Temporal Action Localization +1
no code implementations • 25 Feb 2019 • Jagdish Ramakrishnan, Elham Shaabani, Chao Li, Mátyás A. Sustik
Our system detects anomalies both in batch and real-time streaming settings, and the items flagged are reviewed and actioned based on priority and business impact.
no code implementations • 7 Jan 2019 • Longhao Yuan, Chao Li, Jianting Cao, Qibin Zhao
Dimensionality reduction is an essential technique for multi-way large-scale data, i. e., tensor.
2 code implementations • CVPR 2019 • Wei He, Quanming Yao, Chao Li, Naoto Yokoya, Qibin Zhao
This is done by first learning a low-dimensional projection and the related reduced image from the noisy HSI.
Ranked #10 on Hyperspectral Image Denoising on ICVL-HSI-Gaussian50
no code implementations • 19 Nov 2018 • Lili Yao, Ruijian Xu, Chao Li, Dongyan Zhao, Rui Yan
To build an open-domain multi-turn conversation system is one of the most interesting and challenging tasks in Artificial Intelligence.
no code implementations • 31 Oct 2018 • Chao Li, Zhun Sun, Jinshi Yu, Ming Hou, Qibin Zhao
We demonstrate this by compressing the convolutional layers via randomly-shuffled tensor decomposition (RsTD) for a standard classification task using CIFAR-10.
no code implementations • 27 Sep 2018 • Yuxian Qiu, Jingwen Leng, Yuhao Zhu, Quan Chen, Chao Li, Minyi Guo
Despite their enormous success, there is still no solid understanding of deep neural network’s working mechanism.
no code implementations • 7 Sep 2018 • Longhao Yuan, Chao Li, Danilo Mandic, Jianting Cao, Qibin Zhao
In this paper, by exploiting the low-rank structure of the TR latent space, we propose a novel tensor completion method which is robust to model selection.
no code implementations • ECCV 2018 • Chao Li, Zheheng Zhao, Xiaohu Guo
This paper proposes a real-time dynamic scene reconstruction method capable of reproducing the motion, geometry, and segmentation simultaneously given live depth stream from a single RGB-D camera.
no code implementations • 22 May 2018 • Longhao Yuan, Chao Li, Danilo Mandic, Jianting Cao, Qibin Zhao
In low-rank tensor completion tasks, due to the underlying multiple large-scale singular value decomposition (SVD) operations and rank selection problem of the traditional methods, they suffer from high computational cost and high sensitivity of model complexity.
no code implementations • 22 May 2018 • Chao Li, Mohammad Emtiyaz Khan, Zhun Sun, Gang Niu, Bo Han, Shengli Xie, Qibin Zhao
Exact recovery of tensor decomposition (TD) methods is a desirable property in both unsupervised learning and scientific data analysis.
no code implementations • 23 Apr 2018 • Peng Gao, Yipeng Ma, Ke Song, Chao Li, Fei Wang, Liyi Xiao, Yan Zhang
Based on the proposed circular and structural operators, a set of primal confidence score maps can be obtained by circular correlating feature maps with their corresponding structural correlation filters.
no code implementations • 20 Apr 2018 • Peng Gao, Yipeng Ma, Chao Li, Ke Song, Fei Wang, Liyi Xiao
Discriminative Correlation Filters based tracking algorithms exploiting conventional handcrafted features have achieved impressive results both in terms of accuracy and robustness.
no code implementations • 19 Apr 2018 • Peng Gao, Yipeng Ma, Ke Song, Chao Li, Fei Wang, Liyi Xiao
To the best of our knowledge, we are the first to incorporate the advantages of DCF and SOSVM for TIR object tracking.
6 code implementations • 17 Apr 2018 • Chao Li, Qiaoyong Zhong, Di Xie, ShiLiang Pu
Skeleton-based human action recognition has recently drawn increasing attentions with the availability of large-scale skeleton datasets.
Ranked #1 on RF-based Pose Estimation on RF-MMD
1 code implementation • CVPR 2018 • Chao Li, Cheng Deng, Ning li, Wei Liu, Xinbo Gao, DaCheng Tao
In addition, we harness a self-supervised semantic network to discover high-level semantic information in the form of multi-label annotations.
1 code implementation • 23 Feb 2018 • Oliver Schulte, Yejia Liu, Chao Li
Successful previous approaches have built a predictive model based on player features, or derived performance predictions from the observed performance of comparable players in a cohort.
no code implementations • 16 Feb 2018 • Chao Li, Shohei Shimizu
Most existing causal discovery methods either ignore the discrete data and apply a continuous-valued algorithm or discretize all the continuous data and then apply a discrete Bayesian network approach.
no code implementations • 21 Nov 2017 • Ming Hou, Brahim Chaib-Draa, Chao Li, Qibin Zhao
However, given limited P data, the conventional PU models tend to suffer from overfitting when adapted to very flexible deep neural networks.
no code implementations • 30 Oct 2017 • Qiaoyong Zhong, Chao Li, Yingying Zhang, Di Xie, Shicai Yang, ShiLiang Pu
Deep region-based object detector consists of a region proposal step and a deep object recognition step.
1 code implementation • 23 Oct 2017 • Kai Han, Yunhe Wang, Chao Zhang, Chao Li, Chao Xu
High-dimensional data in many areas such as computer vision and machine learning tasks brings in computational and analytical difficulty.
no code implementations • ICCV 2017 • Chao Li, Jiewei Cao, Zi Huang, Lei Zhu, Heng Tao Shen
In this paper, we propose a novel approach to automatically maximize the utility of weak semantic annotations (formalized as the semantic relevance of video shots to the target event) to facilitate video event classification.
15 code implementations • 5 May 2017 • Chao Li, Xiaokong Ma, Bing Jiang, Xiangang Li, Xuewei Zhang, Xiao Liu, Ying Cao, Ajay Kannan, Zhenyao Zhu
We present Deep Speaker, a neural speaker embedding system that maps utterances to a hypersphere where speaker similarity is measured by cosine similarity.
1 code implementation • 25 Apr 2017 • Chao Li, Qiaoyong Zhong, Di Xie, ShiLiang Pu
Current state-of-the-art approaches to skeleton-based action recognition are mostly based on recurrent neural networks (RNN).
Ranked #3 on Skeleton Based Action Recognition on PKU-MMD
no code implementations • 12 Oct 2016 • Chao Li, Yi Yang, Min Feng, Srimat Chakradhar, Huiyang Zhou
Leveraging large data sets, deep Convolutional Neural Networks (CNNs) achieve state-of-the-art recognition accuracy.
no code implementations • ICCV 2015 • Dingwen Zhang, Deyu Meng, Chao Li, Lu Jiang, Qian Zhao, Junwei Han
As an interesting and emerging topic, co-saliency detection aims at simultaneously extracting common salient objects in a group of images.
no code implementations • CVPR 2015 • Dingwen Zhang, Junwei Han, Chao Li, Jingdong Wang
In the proposed framework, the wide and deep information are explored for the object proposal windows extracted in each image, and the co-saliency scores are calculated by integrating the intra-image contrast and intra group consistency via a principled Bayesian formulation.
no code implementations • 23 Oct 2014 • Junhua Li, Chao Li, Andrzej Cichocki
Unlike vector-based methods that destroy data structure, Canonical Polyadic Decomposition (CPD) aims to process physiological signals in the form of multi-way array, which considers relationships between dimensions and preserves structure information contained by the physiological signal.
no code implementations • 1 Sep 2014 • Chao Li, Lili Guo, Andrzej Cichocki
Thus one question raised whether such the relationship can improve the performance of data completion or not?