no code implementations • 25 Apr 2024 • Xingchen Song, Di wu, BinBin Zhang, Dinghao Zhou, Zhendong Peng, Bo Dang, Fuping Pan, Chao Yang
Scale has opened new frontiers in natural language processing, but at a high cost.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +1
no code implementations • 1 Apr 2024 • Bo Zou, Chao Yang, Yu Qiao, Chengbin Quan, Youjian Zhao
LLaMA-Excitor ensures a self-adaptive allocation of additional attention to input instructions, thus effectively preserving LLMs' pre-trained knowledge when fine-tuning LLMs on low-quality instruction-following datasets.
no code implementations • 1 Apr 2024 • Bo Zou, Chao Yang, Yu Qiao, Chengbin Quan, Youjian Zhao
In this paper, we are inspired by the human recognition and learning pattern and propose VideoDistill, a framework with language-aware (i. e., goal-driven) behavior in both vision perception and answer generation process.
no code implementations • 25 Mar 2024 • Wenhao Lin, Yuqing Ni, Wen Yang, Chao Yang
Under the given threshold of the control performance loss, a trade-off optimization problem is proposed.
1 code implementation • 14 Mar 2024 • Yuhang Zheng, Xiangyu Chen, Yupeng Zheng, Songen Gu, Runyi Yang, Bu Jin, Pengfei Li, Chengliang Zhong, Zengmao Wang, Lina Liu, Chao Yang, Dawei Wang, Zhen Chen, Xiaoxiao Long, Meiqing Wang
In particular, we propose an Efficient Feature Distillation (EFD) module that employs contrastive learning to efficiently and accurately distill language embeddings derived from foundational models.
no code implementations • 27 Feb 2024 • Zhaoxun Ju, Chao Yang, Hongbo Wang, Yu Qiao, Fuchun Sun
Language-conditioned robot behavior plays a vital role in executing complex tasks by associating human commands or instructions with perception and actions.
no code implementations • 25 Feb 2024 • Yao Mu, Junting Chen, Qinglong Zhang, Shoufa Chen, Qiaojun Yu, Chongjian Ge, Runjian Chen, Zhixuan Liang, Mengkang Hu, Chaofan Tao, Peize Sun, Haibao Yu, Chao Yang, Wenqi Shao, Wenhai Wang, Jifeng Dai, Yu Qiao, Mingyu Ding, Ping Luo
Robotic behavior synthesis, the problem of understanding multimodal inputs and generating precise physical control for robots, is an important part of Embodied AI.
Ranked #77 on Visual Question Answering on MM-Vet
no code implementations • 22 Feb 2024 • Junting Chen, Yao Mu, Qiaojun Yu, Tianming Wei, Silang Wu, Zhecheng Yuan, Zhixuan Liang, Chao Yang, Kaipeng Zhang, Wenqi Shao, Yu Qiao, Huazhe Xu, Mingyu Ding, Ping Luo
To bridge this ``ideal-to-real'' gap, this paper presents \textbf{RobotScript}, a platform for 1) a deployable robot manipulation pipeline powered by code generation; and 2) a code generation benchmark for robot manipulation tasks in free-form natural language.
1 code implementation • 20 Feb 2024 • Xiang Li, Yunshi Lan, Chao Yang
Recently, numerous new benchmarks have been established to evaluate the performance of large language models (LLMs) via either computing a holistic score or employing another LLM as a judge.
1 code implementation • 19 Feb 2024 • Zhanhui Zhou, Jie Liu, Zhichen Dong, Jiaheng Liu, Chao Yang, Wanli Ouyang, Yu Qiao
Large language models (LLMs) need to undergo safety alignment to ensure safe conversations with humans.
1 code implementation • 17 Feb 2024 • Xili Wang, Kejun Tang, Jiayu Zhai, Xiaoliang Wan, Chao Yang
In this work, we present a deep adaptive sampling method for surrogate modeling ($\text{DAS}^2$), where we generalize the deep adaptive sampling (DAS) method [62] [Tang, Wan and Yang, 2023] to build surrogate models for low-regularity parametric differential equations.
1 code implementation • 14 Feb 2024 • Zhichen Dong, Zhanhui Zhou, Chao Yang, Jing Shao, Yu Qiao
Large Language Models (LLMs) are now commonplace in conversation applications.
no code implementations • 3 Feb 2024 • Yiling Kuang, Chao Yang, Yang Yang, Shuang Li
In the M-step, we update both the rule set and model parameters to enhance the likelihood function's lower bound.
1 code implementation • 1 Feb 2024 • Xin Liu, Yichen Zhu, Yunshi Lan, Chao Yang, Yu Qiao
In this paper, we systematically survey current efforts on the evaluation, attack, and defense of MLLMs' safety on images and text.
no code implementations • 28 Jan 2024 • Chao Yang, Gaoqi Liang, Steven R. Weller, Shaoyan Li, Junhua Zhao, ZhaoYang Dong
Fast and reliable transmission network reconfiguration is critical in improving power grid resilience to cyber-attacks.
no code implementations • 24 Jan 2024 • Guoxin Chen, Kexin Tang, Chao Yang, Fuying Ye, Yu Qiao, Yiming Qian
Moreover, existing reinforcement learning (RL) based methods overlook the structured relationships, underutilizing the potential of RL in structured reasoning.
no code implementations • 21 Dec 2023 • Yuanfu Wang, Chao Yang, Ying Wen, Yu Liu, Yu Qiao
Recent advancements in offline reinforcement learning (RL) have underscored the capabilities of Return-Conditioned Supervised Learning (RCSL), a paradigm that learns the action distribution based on target returns for each state in a supervised manner.
1 code implementation • 29 Nov 2023 • Xin Liu, Yichen Zhu, Jindong Gu, Yunshi Lan, Chao Yang, Yu Qiao
The security concerns surrounding Large Language Models (LLMs) have been extensively explored, yet the safety of Multimodal Large Language Models (MLLMs) remains understudied.
no code implementations • 18 Oct 2023 • Jie Liu, Yinmin Zhang, Chuming Li, Chao Yang, Yaodong Yang, Yu Liu, Wanli Ouyang
Building a single generalist agent with strong zero-shot capability has recently sparked significant advancements.
no code implementations • 13 Oct 2023 • Hardeep Bassi, Yuanran Zhu, Senwei Liang, Jia Yin, Cian C. Reeves, Vojtech Vlcek, Chao Yang
In this paper, we propose using LSTM-RNNs (Long Short-Term Memory-Recurrent Neural Networks) to learn and represent nonlinear integral operators that appear in nonlinear integro-differential equations (IDEs).
1 code implementation • 5 Oct 2023 • Zhanhui Zhou, Jie Liu, Chao Yang, Jing Shao, Yu Liu, Xiangyu Yue, Wanli Ouyang, Yu Qiao
A single language model (LM), despite aligning well with an average labeler through reinforcement learning from human feedback (RLHF), may not universally suit diverse human preferences.
1 code implementation • ICCV 2023 • Chengliang Zhong, Yuhang Zheng, Yupeng Zheng, Hao Zhao, Li Yi, Xiaodong Mu, Ling Wang, Pengfei Li, Guyue Zhou, Chao Yang, Xinliang Zhang, Jian Zhao
To address this issue, the Transporter method was introduced for 2D data, which reconstructs the target frame from the source frame to incorporate both spatial and temporal information.
no code implementations • 11 Aug 2023 • Chao Yang, Lu Wang, Kun Gao, Shuang Li
Leveraging the temporal point process modeling and learning framework, the rule content and weights will be gradually optimized until the likelihood of the observational event sequences is optimal.
no code implementations • 11 Aug 2023 • Chao Yang, Hengyuan Miao, Shuang Li
We aim to explicitly model the delayed Granger causal effects based on multivariate Hawkes processes.
no code implementations • 26 Jul 2023 • Jiajun Zhu, Yanqun Tang, Chao Yang, Chi Zhang, Haoran Yin, Jiaojiao Xiong, Yuhua Chen
To enhance the sensing performance of the orthogonal time frequency space (OTFS) waveform, we propose a novel time-domain interleaved cyclic-shifted P4-coded OTFS (TICP4-OTFS) with improved ambiguity function.
no code implementations • 26 Jun 2023 • Huiwen Yang, Lingying Huang, Chao Yang, Yilin Mo, Ling Shi
By utilizing the solution of the relaxed problem, we propose a heuristic sensor selection algorithm which can provide a good suboptimal solution.
no code implementations • NeurIPS 2023 • Chengzhi Cao, Chao Yang, Shuang Li
Our approach is inspired by the fact that human actions are usually driven by their intentions or desires, and are influenced by environmental factors such as the spatial relationships with surrounding objects.
no code implementations • 30 May 2023 • Kejun Tang, Jiayu Zhai, Xiaoliang Wan, Chao Yang
The key idea is to use a deep generative model to adjust random samples in the training set such that the residual induced by the approximate PDE solution can maintain a smooth profile when it is being minimized.
no code implementations • 27 May 2023 • Senwei Liang, Aditya N. Singh, Yuanran Zhu, David T. Limmer, Chao Yang
We propose a reinforcement learning based method to identify important configurations that connect reactant and product states along chemical reaction paths.
1 code implementation • 20 Feb 2023 • Chang Chen, Min Li, Zhihua Wu, dianhai yu, Chao Yang
In this paper, we propose TA-MoE, a topology-aware routing strategy for large-scale MoE trainging, from a model-system co-design perspective, which can dynamically adjust the MoE dispatch pattern according to the network topology.
no code implementations • 5 Dec 2022 • Bai Zhu, Chao Yang, Jinkun Dai, Jianwei Fan, Yuanxin Ye
Automatically identifying feature correspondences between multimodal images is facing enormous challenges because of the significant differences both in radiation and geometry.
no code implementations • 30 Oct 2022 • Yu Zheng, Zhangxuan Dang, Chunlei Peng, Chao Yang, Xinbo Gao
In this paper, we propose an MLP-Mixer based multi-view multi-label neural network for network traffic classification.
no code implementations • 27 Aug 2022 • Limeng Wang, Chao Yang, Yi Zhang, Fanjin Bu
How to weigh various factors to construct a reasonable model of charging station location and capacity has become a major difficulty in the field of electric vehicle charging facility planning.
no code implementations • 8 Jul 2022 • Chao Yang, Wen Yang, Hongbo Shi
In this paper, we study the privacy preservation problem in a cooperative networked control system working for the task of LQG control.
no code implementations • 2 Jul 2022 • Chao Yang, Ru He, Fangquan Lin, Suoyuan Song, Jingqiao Zhang, Cheng Yang
Our goal is to build general representation (embedding) for each user and each product item across Alibaba's businesses, including Taobao and Tmall which are among the world's biggest e-commerce websites.
3 code implementations • 29 Mar 2022 • BinBin Zhang, Di wu, Zhendong Peng, Xingchen Song, Zhuoyuan Yao, Hang Lv, Lei Xie, Chao Yang, Fuping Pan, Jianwei Niu
Recently, we made available WeNet, a production-oriented end-to-end speech recognition toolkit, which introduces a unified two-pass (U2) framework and a built-in runtime to address the streaming and non-streaming decoding modes in a single model.
no code implementations • 27 Feb 2022 • Yuanxin Ye, Bai Zhu, Tengfeng Tang, Chao Yang, Qizhi Xu, Guo Zhang
In this paper, a robust matching method based on the Steerable filters is proposed consisting of two critical steps.
no code implementations • 1 Feb 2022 • Chengliang Zhong, Chao Yang, Jinshan Qi, Fuchun Sun, Huaping Liu, Xiaodong Mu, Wenbing Huang
Keypoint detection and description play a central role in computer vision.
1 code implementation • 28 Dec 2021 • Kejun Tang, Xiaoliang Wan, Chao Yang
In this work we propose a deep adaptive sampling (DAS) method for solving partial differential equations (PDEs), where deep neural networks are utilized to approximate the solutions of PDEs and deep generative models are employed to generate new collocation points that refine the training set.
1 code implementation • 6 Dec 2021 • Yulong Ao, Zhihua Wu, dianhai yu, Weibao Gong, Zhiqing Kui, Minxu Zhang, Zilingfeng Ye, Liang Shen, Yanjun Ma, Tian Wu, Haifeng Wang, Wei Zeng, Chao Yang
The experiments demonstrate that our framework can satisfy various requirements from the diversity of applications and the heterogeneity of resources with highly competitive performance.
no code implementations • 25 Oct 2021 • Chuanfu Xiao, Chao Yang
We propose a novel rank-adaptive higher-order orthogonal iteration (HOOI) algorithm to compute the truncated Tucker decomposition of higher-order tensors with a given error tolerance, and prove that the method is locally optimal and monotonically convergent.
1 code implementation • 7 Oct 2021 • BinBin Zhang, Hang Lv, Pengcheng Guo, Qijie Shao, Chao Yang, Lei Xie, Xin Xu, Hui Bu, Xiaoyu Chen, Chenchen Zeng, Di wu, Zhendong Peng
In this paper, we present WenetSpeech, a multi-domain Mandarin corpus consisting of 10000+ hours high-quality labeled speech, 2400+ hours weakly labeled speech, and about 10000 hours unlabeled speech, with 22400+ hours in total.
Ranked #5 on Speech Recognition on WenetSpeech
no code implementations • 2 Sep 2021 • Chao Yang, Debajyoti Chowdhury, Zhenmiao Zhang, William K. Cheung, Aiping Lu, Zhao Xiang Bian, Lu Zhang
Metagenomics has equipped us with new avenues of investigating the microbiome, from studying a single species to a complex community in a dynamic ecosystem.
no code implementations • 5 Jul 2021 • Zhiyi Lin, Chunyue Song, Jun Zhao, Chao Yang, Huan Yin
Intra-day economic dispatch of an integrated microgrid is a fundamental requirement to integrate distributed generators.
no code implementations • 23 Jun 2021 • Xiaofeng Liu, Fangxu Xing, Chao Yang, Georges El Fakhri, Jonghye Woo
To alleviate this, in this work, we target source free UDA for segmentation, and propose to adapt an ``off-the-shelf" segmentation model pre-trained in the source domain to the target domain, with an adaptive batch-wise normalization statistics adaptation framework.
1 code implementation • 14 Jun 2021 • Yifei Xu, Jingqiao Zhang, Ru He, Liangzhu Ge, Chao Yang, Cheng Yang, Ying Nian Wu
In this paper, we propose a self-augmentation strategy (SAS) where a single network is utilized for both regular pre-training and contextualized data augmentation for the training in later epochs.
no code implementations • 10 Jun 2021 • Di wu, BinBin Zhang, Chao Yang, Zhendong Peng, Wenjing Xia, Xiaoyu Chen, Xin Lei
On the experiment of AISHELL-1, we achieve a 4. 63\% character error rate (CER) with a non-streaming setup and 5. 05\% with a streaming setup with 320ms latency by U2++.
no code implementations • 15 May 2021 • ZiFan Chen, Xin Qin, Chao Yang, Li Zhang
This work proposes a novel deep learning framework for human pose estimation called composite localization to divide the complex learning objective into two simpler ones: a sparse heatmap to find the keypoint's approximate location and two short-distance offsetmaps to obtain its final precise coordinates.
no code implementations • 6 May 2021 • Bi-Ying Yan, Chao Yang, Feng Chen, Kohei Takeda, Changjun Wang
To the best of our knowledge, this is the first network architecture with flow and deformation separation to model the evolution of radar echoes for precipitation nowcasting.
no code implementations • 19 Apr 2021 • Aydin Buluc, Tamara G. Kolda, Stefan M. Wild, Mihai Anitescu, Anthony DeGennaro, John Jakeman, Chandrika Kamath, Ramakrishnan Kannan, Miles E. Lopes, Per-Gunnar Martinsson, Kary Myers, Jelani Nelson, Juan M. Restrepo, C. Seshadhri, Draguna Vrabie, Brendt Wohlberg, Stephen J. Wright, Chao Yang, Peter Zwart
Randomized algorithms have propelled advances in artificial intelligence and represent a foundational research area in advancing AI for Science.
4 code implementations • 2 Feb 2021 • Zhuoyuan Yao, Di wu, Xiong Wang, BinBin Zhang, Fan Yu, Chao Yang, Zhendong Peng, Xiaoyu Chen, Lei Xie, Xin Lei
In this paper, we propose an open source, production first, and production ready speech recognition toolkit called WeNet in which a new two-pass approach is implemented to unify streaming and non-streaming end-to-end (E2E) speech recognition in a single model.
no code implementations • 17 Jan 2021 • Xiaofeng Liu, Fangxu Xing, Chao Yang, C. -C. Jay Kuo, Georges ElFakhri, Jonghye Woo
Deformable registration of magnetic resonance images between patients with brain tumors and healthy subjects has been an important tool to specify tumor geometry through location alignment and facilitate pathological analysis.
no code implementations • 13 Jan 2021 • Xiaofeng Liu, Fangxu Xing, Chao Yang, C. -C. Jay Kuo, Suma Babu, Georges El Fakhri, Thomas Jenkins, Jonghye Woo
Deep learning has great potential for accurate detection and classification of diseases with medical imaging data, but the performance is often limited by the number of training datasets and memory requirements.
1 code implementation • 21 Dec 2020 • Chao Yang, Su Feng, Dongsheng Li, HuaWei Shen, Guoqing Wang, Bin Jiang
Many works concentrate on how to reduce language bias which makes models answer questions ignoring visual content and language context.
no code implementations • 20 Dec 2020 • Chao Yang, Guoqing Wang, Dongsheng Li, HuaWei Shen, Su Feng, Bin Jiang
Reference expression comprehension (REC) aims to find the location that the phrase refer to in a given image.
5 code implementations • 10 Dec 2020 • BinBin Zhang, Di wu, Zhuoyuan Yao, Xiong Wang, Fan Yu, Chao Yang, Liyong Guo, Yaguang Hu, Lei Xie, Xin Lei
In this paper, we present a novel two-pass approach to unify streaming and non-streaming end-to-end (E2E) speech recognition in a single model.
Ranked #6 on Speech Recognition on AISHELL-1
no code implementations • COLING 2020 • Bin Jiang, Jing Hou, Wanyue Zhou, Chao Yang, Shihan Wang, Liang Pang
Aspect-based sentiment analysis (ABSA) aims to determine the sentiment polarity of each specific aspect in a given sentence.
Aspect-Based Sentiment Analysis Aspect-Based Sentiment Analysis (ABSA) +2
1 code implementation • COLING 2020 • Bin Jiang, Wanyue Zhou, Jingxu Yang, Chao Yang, Shihan Wang, Liang Pang
However, generating personalized responses is still a challenging task since the leverage of predefined persona information is often insufficient.
no code implementations • 27 Nov 2020 • Cheng Yang, Shengnan Wang, Yuechuan Li, Chao Yang, Ming Yan, Jingqiao Zhang, Fangquan Lin
In the second phase, we transform the trained relaxed BERT model into the original BERT and further retrain the model.
no code implementations • 27 Nov 2020 • Cheng Yang, Shengnan Wang, Chao Yang, Yuechuan Li, Ru He, Jingqiao Zhang
In BERT training, the backward computation is much more time-consuming than the forward computation, especially in the distributed training setting in which the backward computation time further includes the communication time for gradient synchronization.
no code implementations • 17 Nov 2020 • Fan Yang, Chao Yang, Di Guo, Huaping Liu, Fuchun Sun
Robots have limited adaptation ability compared to humans and animals in the case of damage.
no code implementations • 20 Oct 2020 • Min Li, Chuanfu Xiao, Chao Yang
A mode-wise flexible Tucker decomposition algorithm is proposed to enable the switch of different solvers for the factor matrices and core tensor, and a machine-learning adaptive solver selector is applied to automatically cope with the variations of both the input data and the hardware.
1 code implementation • 19 Sep 2020 • Chao Yang, Mingxing Jiang, Zhongwen Guo, Yu-An Liu
Through the utilization of gated mechanism, the network can control the process of information sending hence can better capture and utilize the both the temporal information and the correlations between the feature maps.
1 code implementation • ECCV 2020 • Hongyu Liu, Bin Jiang, Yibing Song, Wei Huang, Chao Yang
We use CNN features from the deep and shallow layers of the encoder to represent structures and textures of an input image, respectively.
no code implementations • ECCV 2020 • Xiaofeng Liu, Tong Che, Yiqun Lu, Chao Yang, Site Li, Jane You
This paper targets on learning-based novel view synthesis from a single or limited 2D images without the pose supervision.
2 code implementations • 7 Jul 2020 • David B. Williams-Young, Wibe A. de Jong, Hubertus J. J. van Dam, Chao Yang
We demonstrate the performance and scalability of the implementation of the purposed method in the NWChemEx software package by comparing to the existing scalable CPU XC integration in NWChem.
Computational Physics Distributed, Parallel, and Cluster Computing Chemical Physics
no code implementations • 22 May 2020 • Yuanxin Ye, Chao Yang, Bai Zhu, Youquan He, Huarong Jia
Finally, the obtained correspondences are employed to measure the misregistration shifts between the images.
no code implementations • 21 Apr 2020 • Bai Zhu, Yuanxin Ye, Chao Yang, Liang Zhou, Huiyu Liu, Yungang Cao
Subsequently, a robust structural feature descriptor is build based on dense gradient features, and the 3D phase correlation is used to detect control points (CPs) between aerial images and LiDAR data in the frequency domain, where the image matching is accelerated by the 3D Fast Fourier Transform (FFT).
2 code implementations • 14 Apr 2020 • Hailong Sheng, Chao Yang
We present PFNN, a penalty-free neural network method, to efficiently solve a class of second-order boundary-value problems on complex geometries.
no code implementations • 6 Apr 2020 • Chuanfu Xiao, Chao Yang, Min Li
In this paper, we propose a new class of truncated HOSVD algorithms based on alternating least squares (ALS) for efficiently computing the low multilinear rank approximation of tensors.
no code implementations • CVPR 2020 • Chao Yang, Ser-Nam Lim
To generate images of the same distribution, we introduce a style-mixing technique that transfers the low-level statistics from the target to faces randomly generated with the model.
no code implementations • 18 Dec 2019 • Hongyu Liu, Bin Jiang, Wei Huang, Chao Yang
However, the two-stage architecture is time-consuming, the contextual information lack high-level semantics and ignores both the semantic relevance and distance information of hole's feature patches, these limitations result in blurry textures and distorted structures of final result.
no code implementations • 12 Dec 2019 • Chao Yang, Xiaofeng Liu, Qingming Tang, C. -C. Jay Kuo
We study the problem of learning disentangled representations for data across multiple domains and its applications in human retargeting.
1 code implementation • 12 Dec 2019 • Chao Yang, Ser-Nam Lim
Given two face images, our method can create plausible results that combine the appearance of one image and the expression of the other.
no code implementations • 11 Dec 2019 • Fangting Lin, Chao Yang, Huizhou Li, Bin Jiang
Recent deep learning based salient object detection methods which utilize both saliency and boundary features have achieved remarkable performance.
no code implementations • 19 Nov 2019 • Chao Yang, Huizhou Li, Fangting Lin, Bin Jiang, Hao Zhao
Finally, the coarse localization information guides the model to further learn the finer local features and segment out the tampered region.
Ranked #5 on Image Manipulation Localization on COVERAGE
no code implementations • 16 Nov 2019 • Mingxuan Jing, Xiaojian Ma, Wenbing Huang, Fuchun Sun, Chao Yang, Bin Fang, Huaping Liu
In this paper, we study Reinforcement Learning from Demonstrations (RLfD) that improves the exploration efficiency of Reinforcement Learning (RL) by providing expert demonstrations.
no code implementations • NeurIPS 2019 • Chao Yang, Xiaojian Ma, Wenbing Huang, Fuchun Sun, Huaping Liu, Junzhou Huang, Chuang Gan
This paper studies Learning from Observations (LfO) for imitation learning with access to state-only demonstrations.
no code implementations • 26 Jul 2019 • Bin Jiang, Wenxuan Tu, Chao Yang, Junsong Yuan
The core components of CIFReNet are the Long-skip Refinement Module (LRM) and the Multi-scale Context Integration Module (MCIM).
no code implementations • ECCV 2018 • Xiaofeng Liu, B. V. K. Vijaya Kumar, Chao Yang, Qingming Tang, Jane You
This paper targets the problem of image set-based face verification and identification.
1 code implementation • ICCV 2019 • Hongyu Liu, Bin Jiang, Yi Xiao, Chao Yang
The latest deep learning-based approaches have shown promising results for the challenging task of inpainting missing regions of an image.
Ranked #1 on Image Inpainting on Paris StreetView
no code implementations • 6 Oct 2018 • Gianina Alina Negoita, James P. Vary, Glenn R. Luecke, Pieter Maris, Andrey M. Shirokov, Ik Jae Shin, Youngman Kim, Esmond G. Ng, Chao Yang, Matthew Lockner, Gurpur M. Prabhu
The NCSM and other approaches require an extrapolation of the results obtained in a finite basis space to the infinite basis space limit and assessment of the uncertainty of those extrapolations.
no code implementations • 6 Aug 2018 • Chuanqi Tan, Fuchun Sun, Tao Kong, Wenchang Zhang, Chao Yang, Chunfang Liu
As a new classification platform, deep learning has recently received increasing attention from researchers and has been successfully applied to many domains.
no code implementations • 5 Jul 2018 • Jiali Duan, Xiaoyuan Guo, Yuhang Song, Chao Yang, C. -C. Jay Kuo
Previous methods have dealt with discrete manipulation of facial attributes such as smile, sad, angry, surprise etc, out of canonical expressions and they are not scalable, operating in single modality.
no code implementations • 16 Jun 2018 • Chao Yang, Taehwan Kim, Ruizhe Wang, Hao Peng, C. -C. Jay Kuo
It has been applied to numerous domains, such as data augmentation, domain adaptation, and unsupervised training.
1 code implementation • 9 May 2018 • Yuhang Song, Chao Yang, Yeji Shen, Peng Wang, Qin Huang, C. -C. Jay Kuo
In this paper, we focus on image inpainting task, aiming at recovering the missing area of an incomplete image given the context information.
no code implementations • 23 Mar 2018 • Chao Yang, Yuhang Song, Xiaofeng Liu, Qingming Tang, C. -C. Jay Kuo
We present a new approach to address the difficulty of training a very deep generative model to synthesize high-quality photo-realistic inpainting.
no code implementations • 8 Mar 2018 • Gianina Alina Negoita, Glenn R. Luecke, James P. Vary, Pieter Maris, Andrey M. Shirokov, Ik Jae Shin, Youngman Kim, Esmond G. Ng, Chao Yang
In recent years, several successful applications of the Artificial Neural Networks (ANNs) have emerged in nuclear physics and high-energy physics, as well as in biology, chemistry, meteorology, and other fields of science.
Computational Physics Nuclear Theory
no code implementations • ECCV 2018 • Yuhang Song, Chao Yang, Zhe Lin, Xiaofeng Liu, Qin Huang, Hao Li, C. -C. Jay Kuo
We study the task of image inpainting, which is to fill in the missing region of an incomplete image with plausible contents.
1 code implementation • ICCV 2017 • Weiyue Wang, Qiangui Huang, Suya You, Chao Yang, Ulrich Neumann
The 3D-ED-GAN is a 3D convolutional neural network trained with a generative adversarial paradigm to fill missing 3D data in low-resolution.
no code implementations • ICCV 2017 • Kyle Olszewski, Zimo Li, Chao Yang, Yi Zhou, Ronald Yu, Zeng Huang, Sitao Xiang, Shunsuke Saito, Pushmeet Kohli, Hao Li
By retargeting the PCA expression geometry from the source, as well as using the newly inferred texture, we can both animate the face and perform video face replacement on the source video using the target appearance.
1 code implementation • CVPR 2017 • Chao Yang, Xin Lu, Zhe Lin, Eli Shechtman, Oliver Wang, Hao Li
Recent advances in deep learning have shown exciting promise in filling large holes in natural images with semantically plausible and context aware details, impacting fundamental image manipulation tasks such as object removal.
no code implementations • 20 Apr 2016 • Guilin Liu, Chao Yang, Zimo Li, Duygu Ceylan, Qi-Xing Huang
Due to the abundance of 2D product images from the Internet, developing efficient and scalable algorithms to recover the missing depth information is central to many applications.
no code implementations • 7 Mar 2015 • Qingming Tang, Chao Yang, Jian Peng, Jinbo Xu
This paper proposes a novel hybrid covariance thresholding algorithm that can effectively identify zero entries in the precision matrices and split a large joint graphical lasso problem into small subproblems.
no code implementations • 7 Aug 2014 • Chao Yang, Shengnan Caih, Jingdong Wang, Long Quan
As an extension of SIFT, our method seeks to add prior to solve the ill-posed affine parameter estimation problem and normalizes them directly, and is applicable to objects with regular structures.
no code implementations • 6 May 2014 • Yishi Zhang, Chao Yang, Anrong Yang, Chan Xiong, Xingchi Zhou, Zigang Zhang
In this paper, a novel feature selection method is presented, which is based on Class-Separability (CS) strategy and Data Envelopment Analysis (DEA).