no code implementations • 1 May 2024 • Yian Zhao, Kehan Li, Zesen Cheng, Pengchong Qiao, Xiawu Zheng, Rongrong Ji, Chang Liu, Li Yuan, Jie Chen
In this work, we introduce Granularity-Controllable Interactive Segmentation (GraCo), a novel approach that allows precise control of prediction granularity by introducing additional parameters to input.
no code implementations • 29 Apr 2024 • Zhuofu Pan, Qingkai Sui, Yalin Wang, Jiang Luo, Jie Chen, Hongtian Chen
However, traditional methods exhibit limited effectiveness in modeling high-dimensional nonlinearity and big data, and the decoupling idea has not been well-valued in data-driven frameworks.
1 code implementation • 29 Apr 2024 • Claudio Bellei, Muhua Xu, Ross Phillips, Tom Robinson, Mark Weber, Tim Kaler, Charles E. Leiserson, Arvind, Jie Chen
We posit that certain domain applications, such as anti-money laundering (AML), are inherently subgraph problems and mainstream graph techniques have been operating at a suboptimal level of abstraction.
1 code implementation • 18 Apr 2024 • Jie Chen, Pengfei Ou, Yuxin Chang, Hengrui Zhang, Xiao-Yan Li, Edward H. Sargent, Wei Chen
The results demonstrate that our approach achieves high prediction accuracy, facilitates interpretable feature extraction, and enables multicriteria design optimization, leading to significant reduction of computing power and time (10x reduction of required DFT calculations) in high-performance catalyst discovery.
1 code implementation • 27 Mar 2024 • Qiran Zou, Shangyuan Yuan, Shian Du, Yu Wang, Chang Liu, Yi Xu, Jie Chen, Xiangyang Ji
However, these methods encounter challenges such as the lack of coordination between different part motions and difficulties for networks to understand part concepts.
Ranked #8 on Motion Synthesis on HumanML3D
no code implementations • 25 Mar 2024 • Bin Chen, Zhenyu Zhang, Weiqi Li, Chen Zhao, Jiwen Yu, Shijie Zhao, Jie Chen, Jian Zhang
To enable such memory-intensive end-to-end finetuning, we propose a novel two-level invertible design to transform both (1) the multi-step sampling process and (2) the noise estimation U-Net in each step into invertible networks.
no code implementations • 14 Mar 2024 • Yuan Fang, Yipeng Liu, Jie Chen, Zhen Long, Ao Li, Chong-Yung Chi, Ce Zhu
In recent years, the fusion of high spatial resolution multispectral image (HR-MSI) and low spatial resolution hyperspectral image (LR-HSI) has been recognized as an effective method for HSI super-resolution (HSI-SR).
no code implementations • 13 Mar 2024 • Michael Sun, Minghao Guo, Weize Yuan, Veronika Thost, Crystal Elaine Owens, Aristotle Franklin Grosz, Sharvaa Selvan, Katelyn Zhou, Hassan Mohiuddin, Benjamin J Pedretti, Zachary P Smith, Jie Chen, Wojciech Matusik
Recent research in molecular discovery has primarily been devoted to small, drug-like molecules, leaving many similarly important applications in material design without adequate technology.
1 code implementation • 11 Mar 2024 • Pengchong Qiao, Lei Shang, Chang Liu, Baigui Sun, Xiangyang Ji, Jie Chen
In this paper, motivated by object-oriented programming, we model the subject as a derived class whose base class is its semantic category.
no code implementations • 6 Mar 2024 • Jingru Zhu, Ya Guo, Geng Sun, Liang Hong, Jie Chen
Then, a causal prototypical contrast module is used to learn domain invariant causal features.
no code implementations • 27 Feb 2024 • Vispi Karkaria, Anthony Goeckner, Rujing Zha, Jie Chen, Jianjing Zhang, Qi Zhu, Jian Cao, Robert X. Gao, Wei Chen
Our work presents a digital twin (DT) framework for real-time predictive control of DED process parameters to meet specific design objectives.
no code implementations • 27 Feb 2024 • Yao Li, Chengpu Yu, Hao Fang, Jie Chen
A computationally efficient and numerically reliable parameter identification algorithm is proposed by equating optimal control strategies with a system of linear equations, and the associated relative error upper bound is derived in terms of data volume and signal-to-noise ratio.
no code implementations • 12 Feb 2024 • Yunsheng Tian, Ane Zuniga, Xinwei Zhang, Johannes P. Dürholt, Payel Das, Jie Chen, Wojciech Matusik, Mina Konaković Luković
In this paper, we observe that in such scenarios optimal solution typically lies on the boundary between feasible and infeasible regions of the design space, making it considerably more difficult than that with interior optima.
no code implementations • 23 Jan 2024 • Hao Yang, Hua Mao, Wai Lok Woo, Jie Chen, Xi Peng
Furthermore, the representation process for clustering is enhanced through spectral clustering, and the consistency across multiple views is improved.
no code implementations • 19 Jan 2024 • Mayank Agarwal, Yikang Shen, Bailin Wang, Yoon Kim, Jie Chen
In this work, we explore data-efficient adaptation of pre-trained code models by further pre-training and fine-tuning them with program structures.
1 code implementation • 18 Jan 2024 • Zesen Cheng, Kehan Li, Hao Li, Peng Jin, Chang Liu, Xiawu Zheng, Rongrong Ji, Jie Chen
To mold instance queries to follow Brownian bridge and accomplish alignment with class texts, we design Bridge-Text Alignment (BTA) to learn discriminative bridge-level representations of instances via contrastive objectives.
1 code implementation • 18 Jan 2024 • Junkun Jiang, Jie Chen
However, there is still ample room for improvement as these methods often overlook the exploration of correlation between the 2D and 3D joint-level features.
1 code implementation • 6 Jan 2024 • Junyi Li, Jie Chen, Ruiyang Ren, Xiaoxue Cheng, Wayne Xin Zhao, Jian-Yun Nie, Ji-Rong Wen
To tackle the LLM hallucination, three key questions should be well studied: how to detect hallucinations (detection), why do LLMs hallucinate (source), and what can be done to mitigate them (mitigation).
1 code implementation • 27 Dec 2023 • Hengrui Zhang, Jie Chen, James M. Rondinelli, Wei Chen
This complexity is particularly evident in molecular mixtures, a frequently explored space for materials such as battery electrolytes.
no code implementations • 26 Dec 2023 • Xingxing Yang, Jie Chen, Zaifeng Yang
To address these challenges, we propose to colorize NIR images via a multi-scale progressive feature embedding network (MPFNet), with the guidance of grayscale image colorization.
1 code implementation • 18 Dec 2023 • Xingxing Yang, Jie Chen, Zaifeng Yang
Existing learning-based hyperspectral reconstruction methods show limitations in fully exploiting the information among the hyperspectral bands.
no code implementations • 14 Dec 2023 • Qingsong Yan, Qiang Wang, Kaiyong Zhao, Jie Chen, Bo Li, Xiaowen Chu, Fei Deng
Neural Radiance Fields (NeRF) have demonstrated impressive performance in novel view synthesis.
no code implementations • 5 Dec 2023 • Ziye Yang, Mengfei Zhang, Jie Chen
However, in scenarios where microphone nodes are dispersed, the centralized approach of the WPE method requires aggregating all observations for inverse filtering, resulting in a significant computational burden.
no code implementations • 20 Nov 2023 • Jie Chen, Zhiming Li, Hua Mao, Wai Lok Woo, Xi Peng
In this paper, we propose a cross-view graph consistency learning (CGCL) method that learns invariant graph representations for link prediction.
no code implementations • 19 Nov 2023 • Wenjie Liu, Yifei Li, Jian Sun, Gang Wang, Jie Chen
This paper investigates the problem of data-driven stabilization for linear discrete-time switched systems with unknown switching dynamics.
1 code implementation • 13 Nov 2023 • Zilu Tang, Mayank Agarwal, Alex Shypula, Bailin Wang, Derry Wijaya, Jie Chen, Yoon Kim
This work explores the use of self-generated natural language explanations as an intermediate step for code-to-code translation with language models.
1 code implementation • 5 Nov 2023 • Bolin Chen, Jie Chen, Shiqi Wang, Yan Ye
Generative Face Video Coding (GFVC) techniques can exploit the compact representation of facial priors and the strong inference capability of deep generative models, achieving high-quality face video communication in ultra-low bandwidth scenarios.
no code implementations • 19 Oct 2023 • Yifei Li, Xin Wang, Jian Sun, Gang Wang, Jie Chen
In the presence of external disturbances, a model-based STC scheme is put forth for $\mathcal{H}_{\infty}$-consensus of MASs, serving as a baseline for the data-driven STC.
no code implementations • 24 Sep 2023 • Dan Wang, Licheng Jiao, Jie Chen, Shuyuan Yang, Fang Liu
After refinement, the changed pixels in the difference feature space are closer to each other, which facilitates change detection.
1 code implementation • ICCV 2023 • Pengxu Wei, Yujing Sun, Xingbei Guo, Chang Liu, Jie Chen, Xiangyang Ji, Liang Lin
Despite substantial advances, single-image super-resolution (SISR) is always in a dilemma to reconstruct high-quality images with limited information from one input image, especially in realistic scenarios.
no code implementations • 5 Sep 2023 • Linwei Hu, Soroush Aramideh, Jie Chen, Vijayan N. Nair
It is straightforward to fit a monotone model to $f(x)$ using the options in XGBoost.
1 code implementation • 4 Sep 2023 • Minghao Guo, Veronika Thost, Samuel W Song, Adithya Balachandran, Payel Das, Jie Chen, Wojciech Matusik
Still, these techniques are faced with a common challenge in practice: Labeled data are limited by the cost of manual extraction from literature and laborious experimentation.
no code implementations • 31 Aug 2023 • Jie Chen, Changhe Song, Deyi Tuo, Xixin Wu, Shiyin Kang, Zhiyong Wu, Helen Meng
For text-to-speech (TTS) synthesis, prosodic structure prediction (PSP) plays an important role in producing natural and intelligible speech.
1 code implementation • ICCV 2023 • Zilong Li, Chenglong Ma, Jie Chen, Junping Zhang, Hongming Shan
The reconstructed images, however, suffer from strong artifacts, greatly limiting their diagnostic value.
no code implementations • 7 Aug 2023 • Xingxing Yang, Jie Chen, Zaifeng Yang
To address these challenges, we propose a cooperative learning paradigm that colorizes NIR images in parallel with another proxy grayscale colorization task by exploring latent cross-domain priors (i. e., latent spectrum context priors and task domain priors), dubbed CoColor.
no code implementations • 7 Aug 2023 • Ruiqi Zhang, Jie Chen, Qiang Wang
This paper proposes a technique for efficiently modeling dynamic humans by explicifying the implicit neural fields via a Neural Explicit Surface (NES).
no code implementations • 14 Jul 2023 • Yifei Li, Wenjie Liu, Jian Sun, Gang Wang, Lihua Xie, Jie Chen
This method utilizes measured data and a noise-matrix polytope to ensure near-optimal output synchronization.
1 code implementation • 7 Jul 2023 • Shuaikai Shi, Lijun Zhang, Jie Chen
Specifically, the DDPM-Fus contains the forward diffusion process which gradually adds Gaussian noise to the high spatial resolution HSI (HrHSI) and another reverse denoising process which learns to predict the desired HrHSI from its noisy version conditioning on the corresponding high spatial resolution MSI (HrMSI) and low spatial resolution HSI (LrHSI).
no code implementations • 7 Jul 2023 • Shuaikai Shi, Lijun Zhang, Yoann Altmann, Jie Chen
In this paper, we propose an unsupervised HSI and MSI fusion model based on the cycle consistency, called CycFusion.
no code implementations • 5 Jul 2023 • Jiaqi Wang, Tianyi Li, Anni Wang, Xiaoze Liu, Lu Chen, Jie Chen, Jianye Liu, Junyang Wu, Feifei Li, Yunjun Gao
This has led to the increasing volume of database workloads, which provides the opportunity for pattern analysis.
no code implementations • 1 Jul 2023 • Min Zhao, Jie Chen, Nicolas Dobigeon
In this way, both the characteristics of the deep autoencoder based unmixing methods and priors provided by denoisers are merged into our well-designed framework to enhance the unmixing performance.
no code implementations • 29 Jun 2023 • Min Zhao, Nicolas Dobigeon, Jie Chen
More precisely, the regularization is conceived as a deep generative network able to encode spatial semantic features contained in this auxiliary image of high spatial resolution.
no code implementations • 19 Jun 2023 • Zesen Cheng, Peng Jin, Hao Li, Kehan Li, Siheng Li, Xiangyang Ji, Chang Liu, Jie Chen
Bottom-up methods are mainly perturbed by Inferior Positive (IP) errors due to the lack of prior object information.
1 code implementation • 15 Jun 2023 • Yifan Chen, Rentian Yao, Yun Yang, Jie Chen
The study includes a set of experiments to support the theory and method, including approximating the GW distance, preserving the graph spectrum, classifying graphs using spectral information, and performing regression using graph convolutional networks.
1 code implementation • 2 Jun 2023 • Tengfei Ma, Trong Nghia Hoang, Jie Chen
Second, we need to learn a consensus graph that captures the high-order interactions between local feature spaces and how to combine them to achieve a better prediction.
1 code implementation • CVPR 2023 • Yu Wang, Pengchong Qiao, Chang Liu, Guoli Song, Xiawu Zheng, Jie Chen
We argue that an overlooked problem of robust SSL is its corrupted information on semantic level, practically limiting the development of the field.
1 code implementation • 26 May 2023 • Tianchun Wang, Farzaneh Mirzazadeh, Xiang Zhang, Jie Chen
Graph convolutional networks (GCNs) are \emph{discriminative models} that directly model the class posterior $p(y|\mathbf{x})$ for semi-supervised classification of graph data.
no code implementations • 25 May 2023 • Linwei Hu, Vijayan N. Nair, Agus Sudjianto, Aijun Zhang, Jie Chen
To understand and explain the model results, one had to rely on post hoc explainability techniques, which are known to have limitations.
4 code implementations • 20 May 2023 • Peng Jin, Hao Li, Zesen Cheng, Jinfa Huang, Zhennan Wang, Li Yuan, Chang Liu, Jie Chen
In this paper, we propose the Disentangled Conceptualization and Set-to-set Alignment (DiCoSA) to simulate the conceptualizing and reasoning process of human beings.
no code implementations • 18 May 2023 • Qikui Zhu, Yihui Bi, Danxin Wang, Xiangpeng Chu, Jie Chen, Yanqing Wang
Heatmap-based anatomical landmark detection is still facing two unresolved challenges: 1) inability to accurately evaluate the distribution of heatmap; 2) inability to effectively exploit global spatial structure information.
no code implementations • 17 May 2023 • Hao Li, Peng Jin, Zesen Cheng, Songyang Zhang, Kai Chen, Zhennan Wang, Chang Liu, Jie Chen
Video question answering aims at answering a question about the video content by reasoning the alignment semantics within them.
1 code implementation • 16 May 2023 • Zhen Long, Ce Zhu, Jie Chen, Zihan Li, Yazhou Ren, Yipeng Liu
Benefiting from multiple interactions among orthogonal/semi-orthogonal (low-rank) factors, the low-rank MERA has a strong representation power to capture the complex inter/intra-view information in the self-representation tensor.
no code implementations • 16 May 2023 • Chenhong Zhou, Xiaorui Zhang, Meng Gao, Shanshan Liu, Yike Guo, Jie Chen
Stagnant weather condition is one of the major contributors to air pollution as it is favorable for the formation and accumulation of pollutants.
1 code implementation • 11 May 2023 • Zhen Ye, Wei Xue, Xu Tan, Jie Chen, Qifeng Liu, Yike Guo
In this paper, we propose a "Co"nsistency "Mo"del-based "Speech" synthesis method, CoMoSpeech, which achieve speech synthesis through a single diffusion sampling step while achieving high audio quality.
1 code implementation • 9 May 2023 • Runqing Wang, Gang Wang, Jian Sun, Fang Deng, Jie Chen
The complex relationships between operations and machines are represented precisely and concisely, for which a dual-attention network (DAN) comprising several interconnected operation message attention blocks and machine message attention blocks is proposed.
2 code implementations • 4 May 2023 • Tim Kaler, Alexandros-Stavros Iliopoulos, Philip Murzynowski, Tao B. Schardl, Charles E. Leiserson, Jie Chen
To significantly reduce the communication volume without compromising prediction accuracy, we propose a policy for caching data associated with frequently accessed vertices in remote partitions.
no code implementations • 2 May 2023 • Wenjie Liu, Jian Sun, Gang Wang, Francesco Bullo, Jie Chen
In this work, a data-based formulation for computing the steady-state Kalman gain is proposed based on semi-definite programming (SDP) using some noise-free input-state-output data.
no code implementations • 25 Apr 2023 • Ban Chen, Xin Jin, Youxin Chen, Longhai Wu, Jie Chen, Jayoon Koo, Cheul-hee Hahm
Extensive experiments show that easy samples pass through fast models while difficult samples inference with heavy models, and our proposed pipeline can improve the accuracy-efficiency trade-off for VFI.
1 code implementation • ICCV 2023 • Jie Chen, Hua Mao, Wai Lok Woo, Xi Peng
Then, a cluster-level CVCL strategy is presented to explore consistent semantic label information among the multiple views in the fine-tuning stage.
4 code implementations • 17 Apr 2023 • Yian Zhao, Wenyu Lv, Shangliang Xu, Jinman Wei, Guanzhong Wang, Qingqing Dang, Yi Liu, Jie Chen
Our RT-DETR-R50 / R101 achieves 53. 1% / 54. 3% AP on COCO and 108 / 74 FPS on T4 GPU, outperforming previously advanced YOLOs in both speed and accuracy.
Ranked #5 on Real-Time Object Detection on MS COCO
no code implementations • 13 Apr 2023 • Yongquan Yang, Jie Chen, Yani Wei, Mohammad Alobaidi, Hong Bu
Precise segmentation of residual tumor in breast cancer (PSRTBC) after neoadjuvant chemotherapy is a fundamental key technique in the treatment process of breast cancer.
4 code implementations • CVPR 2023 • Peng Jin, Jinfa Huang, Pengfei Xiong, Shangxuan Tian, Chang Liu, Xiangyang Ji, Li Yuan, Jie Chen
Contrastive learning-based video-language representation learning approaches, e. g., CLIP, have achieved outstanding performance, which pursue semantic interaction upon pre-defined video-text pairs.
Ranked #8 on Video Question Answering on MSRVTT-QA
no code implementations • ICCV 2023 • Kehan Li, Yian Zhao, Zhennan Wang, Zesen Cheng, Peng Jin, Xiangyang Ji, Li Yuan, Chang Liu, Jie Chen
Interactive segmentation enables users to segment as needed by providing cues of objects, which introduces human-computer interaction for many fields, such as image editing and medical image analysis.
4 code implementations • ICCV 2023 • Peng Jin, Hao Li, Zesen Cheng, Kehan Li, Xiangyang Ji, Chang Liu, Li Yuan, Jie Chen
Existing text-video retrieval solutions are, in essence, discriminant models focused on maximizing the conditional likelihood, i. e., p(candidates|query).
Ranked #15 on Video Retrieval on MSVD
no code implementations • 16 Mar 2023 • Xinwei Zhang, Mingyi Hong, Jie Chen
In this paper, we propose a model splitting method that splits a backbone GNN across the clients and the server and a communication-efficient algorithm, GLASU, to train such a model.
no code implementations • 14 Mar 2023 • Tingting Fang, Fei Zhu, Jie Chen
Current deep learning-based nonlinear unmixing focuses on the models in additive, bilinear-based formulations.
no code implementations • 13 Mar 2023 • Zesen Cheng, Kehan Li, Peng Jin, Xiangyang Ji, Li Yuan, Chang Liu, Jie Chen
An intuitive materialization of our paradigm is Parallel Vertex Diffusion (PVD) to directly set vertex coordinates as the generation target and use a diffusion model to train and infer.
no code implementations • 9 Mar 2023 • Changnan Xiao, Yongxin Zhang, Xuefeng Huang, Qinhan Huang, Jie Chen, Peng Sun
Strategy card game is a well-known genre that is demanding on the intelligent game-play and can be an ideal test-bench for AI.
no code implementations • 7 Mar 2023 • Wei Xi, Yongxin Zhang, Changnan Xiao, Xuefeng Huang, Shihong Deng, Haowei Liang, Jie Chen, Peng Sun
Deep Reinforcement Learning combined with Fictitious Play shows impressive results on many benchmark games, most of which are, however, single-stage.
no code implementations • 2 Mar 2023 • Jinyan Liu, Jie Chen
In this paper, we introduce a simple yet efficient approach that improves accuracy of object detection especially for small objects and large scale variance scene while reducing the computational cost in high resolution image.
no code implementations • 14 Feb 2023 • Wenjie Liu, Masashi Wakaiki, Jian Sun, Gang Wang, Jie Chen
If, in addition, the transmission protocols at the controller-to-actuator (C-A) and sensor-to-controller (S-C) channels can be adapted, the self-triggered control architecture can be considerably simplified, leveraging a delicate observer-based deadbeat controller to eliminate the need for running the controller in parallel at the encoder side.
1 code implementation • 12 Feb 2023 • Zehao Niu, Mihai Anitescu, Jie Chen
Gaussian processes (GPs) are an attractive class of machine learning models because of their simplicity and flexibility as building blocks of more complex Bayesian models.
no code implementations • 4 Jan 2023 • Xiao Zang, Jie Chen, Bo Yuan
Graph neural networks (GNNs) are a class of effective deep learning models for node classification tasks; yet their predictive capability may be severely compromised under adversarially designed unnoticeable perturbations to the graph structure and/or node data.
no code implementations • CVPR 2023 • Haoliang Zhao, Huizhou Zhou, Yongjun Zhang, Jie Chen, Yitong Yang, Yong Zhao
In the field of binocular stereo matching, remarkable progress has been made by iterative methods like RAFT-Stereo and CREStereo.
1 code implementation • ICCV 2023 • Runyi Yu, Zhennan Wang, Yinhuai Wang, Kehan Li, Chang Liu, Haoyi Duan, Xiangyang Ji, Jie Chen
A typical way to introduce position information is adding the absolute Position Embedding (PE) to patch embedding before entering VTs.
no code implementations • ICCV 2023 • Hongliang He, Jun Wang, Pengxu Wei, Fan Xu, Xiangyang Ji, Chang Liu, Jie Chen
Experiments on three nuclear instance segmentation datasets justify the superiority of TopoSeg, which achieves state-of-the-art performance.
no code implementations • ICCV 2023 • Zhuangzhuang Chen, Jin Zhang, Zhuonan Lai, Guanming Zhu, Zun Liu, Jie Chen, Jianqiang Li
However, the vanilla adaptation of the existing oriented object detection methods to the crack detection tasks will result in limited performance, due to the boundary discontinuity issue and the ambiguities in sub-crack orientation.
1 code implementation • 10 Dec 2022 • Runyi Yu, Zhennan Wang, Yinhuai Wang, Kehan Li, Yian Zhao, Jian Zhang, Guoli Song, Jie Chen
By analyzing the input and output of each encoder layer in VTs using reparameterization and visualization, we find that the default PE joining method (simply adding the PE and patch embedding together) operates the same affine transformation to token embedding and PE, which limits the expressiveness of PE and hence constrains the performance of VTs.
1 code implementation • 28 Nov 2022 • Xiuheng Wang, Jie Chen, Cédric Richard
Deconvolution is a widely used strategy to mitigate the blurring and noisy degradation of hyperspectral images~(HSI) generated by the acquisition devices.
no code implementations • 25 Nov 2022 • Jucai Zhai, Pengcheng Zeng, Chihao Ma, Yong Zhao, Jie Chen
The proposed method consists of a learnable blur kernel to estimate the defocus map, which is an unsupervised method, and a single-image defocus deblurring generative adversarial network (DefocusGAN) for the first time.
no code implementations • CVPR 2023 • Zesen Cheng, Pengchong Qiao, Kehan Li, Siheng Li, Pengxu Wei, Xiangyang Ji, Li Yuan, Chang Liu, Jie Chen
Weakly supervised semantic segmentation is typically inspired by class activation maps, which serve as pseudo masks with class-discriminative regions highlighted.
Optical Character Recognition (OCR) Weakly supervised Semantic Segmentation +1
1 code implementation • CVPR 2023 • Jie Chen, Zilong Li, Yin Zhu, Junping Zhang, Jian Pu
We design a simple yet effective HopGNN framework that can easily utilize existing GNNs to achieve hop interaction.
4 code implementations • 21 Nov 2022 • Peng Jin, Jinfa Huang, Fenglin Liu, Xian Wu, Shen Ge, Guoli Song, David A. Clifton, Jie Chen
Most video-and-language representation learning approaches employ contrastive learning, e. g., CLIP, to project the video and text features into a common latent space according to the semantic similarities of text-video pairs.
Ranked #2 on Video Retrieval on LSMDC (text-to-video Mean Rank metric)
no code implementations • 11 Nov 2022 • Longbin Yan, Yunxiao Qin, Shumin Liu, Jie Chen
As a powerful engine, vanilla convolution has promoted huge breakthroughs in various computer tasks.
no code implementations • 8 Nov 2022 • Jianyu Wang, Linruize Tang, Jie Chen, Jingdong Chen
Nonnegative Tucker Factorization (NTF) minimizes the euclidean distance or Kullback-Leibler divergence between the original data and its low-rank approximation which often suffers from grossly corruptions or outliers and the neglect of manifold structures of data.
1 code implementation • CVPR 2023 • Xin Jin, Longhai Wu, Jie Chen, Youxin Chen, Jayoon Koo, Cheul-hee Hahm
Cast in a flexible pyramid framework, UPR-Net exploits lightweight recurrent modules for both bi-directional flow estimation and intermediate frame synthesis.
Ranked #2 on Video Frame Interpolation on MSU Video Frame Interpolation (PSNR metric)
1 code implementation • 18 Oct 2022 • Jie Chen, Shouzhen Chen, Mingyuan Bai, Junbin Gao, Junping Zhang, Jian Pu
Then, we introduce a novel structure-mixing knowledge distillation strategy to enhance the learning ability of MLPs for structure information.
no code implementations • CVPR 2023 • Pengchong Qiao, Zhidan Wei, Yu Wang, Zhennan Wang, Guoli Song, Fan Xu, Xiangyang Ji, Chang Liu, Jie Chen
Semi-supervised learning (SSL) essentially pursues class boundary exploration with less dependence on human annotations.
no code implementations • CVPR 2023 • Kehan Li, Zhennan Wang, Zesen Cheng, Runyi Yu, Yian Zhao, Guoli Song, Chang Liu, Li Yuan, Jie Chen
Recently, self-supervised large-scale visual pre-training models have shown great promise in representing pixel-level semantic relationships, significantly promoting the development of unsupervised dense prediction tasks, e. g., unsupervised semantic segmentation (USS).
1 code implementation • 7 Oct 2022 • Yiming Liu, Mengxi Zhang, Weiqin Zhang, Bo Jiang, Bo Hou, Dan Liu, Jie Chen, Heqing Lian
To tackle this problem, we propose the Flexible Alignment Super-Resolution Network (FASR-Net) for multi-contrast MRI Super-Resolution.
no code implementations • 21 Sep 2022 • Hao Li, Jinfa Huang, Peng Jin, Guoli Song, Qi Wu, Jie Chen
Under this setting, these 2D spatial reasoning approaches cannot distinguish the fine-grain spatial relations between visual objects and scene texts on the same image plane, thereby impairing the interpretability and performance of TextVQA models.
1 code implementation • 24 Aug 2022 • Xiuheng Wang, Ricardo Augusto Borsoi, Cédric Richard, Jie Chen
The fusion problem is stated as an optimization problem in the maximum a posteriori framework.
no code implementations • 22 Aug 2022 • Xin Wang, Jian Sun, Gang Wang, Frank Allgöwer, Jie Chen
The present paper deals with data-driven event-triggered control of a class of unknown discrete-time interconnected systems (a. k. a.
no code implementations • 18 Aug 2022 • Yike Guo, Qifeng Liu, Jie Chen, Wei Xue, Jie Fu, Henrik Jensen, Fernando Rosas, Jeffrey Shaw, Xing Wu, Jiji Zhang, Jianliang Xu
This report presents a comprehensive view of our vision on the development path of the human-machine symbiotic art creation.
1 code implementation • 16 Aug 2022 • Jingru Zhu, Ya Guo, Geng Sun, Libo Yang, Min Deng, Jie Chen
This study proposes a novel unsupervised domain adaptation semantic segmentation network (MemoryAdaptNet) for the semantic segmentation of HRS imagery.
no code implementations • 11 Aug 2022 • Jia-Xin Zhuang, Xiansong Huang, Yang Yang, Jiancong Chen, Yue Yu, Wei Gao, Ge Li, Jie Chen, Tong Zhang
In this paper, we present OpenMedIA, an open-source toolbox library containing a rich set of deep learning methods for medical image analysis under heterogeneous Artificial Intelligence (AI) computing platforms.
no code implementations • 8 Aug 2022 • Jie Chen, Yongming Liu
The NN objective function can have arbitrary architectures and activation functions.
no code implementations • 1 Aug 2022 • Xin Wang, Jian Sun, Gang Wang, Jie Chen
This article deals with model- and data-based consensus control of heterogenous leader-following multi-agent systems (MASs) under an event-triggering transmission scheme.
1 code implementation • 20 Jul 2022 • Kehan Li, Runyi Yu, Zhennan Wang, Li Yuan, Guoli Song, Jie Chen
Therefore, our locality guidance approach is very simple and efficient, and can serve as a basic performance enhancement method for VTs on tiny datasets.
1 code implementation • 19 Jul 2022 • Ruiqi Zhang, Jie Chen
However, the learned canonical representation is static and the current design of the deformation fields is not able to represent large movements or detailed geometry changes.
no code implementations • 18 Jul 2022 • Wenjie Liu, Jian Sun, Gang Wang, Francesco Bullo, Jie Chen
Self-triggered control, a well-documented technique for reducing the communication overhead while ensuring desired system performance, is gaining increasing popularity.
no code implementations • 16 Jul 2022 • Xiuxian Li, Min Meng, Yiguang Hong, Jie Chen
Game theory has by now found numerous applications in various fields, including economics, industry, jurisprudence, and artificial intelligence, where each player only cares about its own interest in a noncooperative or cooperative manner, but without obvious malice to other players.
1 code implementation • 15 Jul 2022 • Junkun Jiang, Jie Chen, Yike Guo
In order to demonstrate the proposed model's capability in dealing with severe data loss scenarios, we contribute a high-accuracy and challenging motion capture dataset of multi-person interactions with severe occlusion.
no code implementations • 14 Jul 2022 • Linwei Hu, Jie Chen, Vijayan N. Nair
We propose a new algorithm, called GAMI-Tree, that is similar to EBM, but has a number of features that lead to better performance.
no code implementations • 14 Jul 2022 • Wei Gao, Jie Chen, Cédric Richard, Wentao Shi, Qunfei Zhang
We propose the adaptive random Fourier features Gaussian kernel LMS (ARFF-GKLMS).
no code implementations • 11 Jul 2022 • Zhipu Zhou, Jie Chen, Linwei Hu
Shapley-related techniques have gained attention as both global and local interpretation tools because of their desirable properties.
no code implementations • 6 Jul 2022 • Zhennan Wang, Kehan Li, Runyi Yu, Yian Zhao, Pengchong Qiao, Chang Liu, Fan Xu, Xiangyang Ji, Guoli Song, Jie Chen
In this paper, we analyze batch normalization from the perspective of discriminability and find the disadvantages ignored by previous studies: the difference in $l_2$ norms of sample features can hinder batch normalization from obtaining more distinguished inter-class features and more compact intra-class features.
no code implementations • 30 Jun 2022 • Han Huang, Jiajia Yu, Jie Chen, Rongjie Lai
In this work, we unravel the connections between MFGs and NFs by contextualizing the training of an NF as solving the MFG.
2 code implementations • 24 Jun 2022 • Sirui Liu, Jun Zhang, Haotian Chu, Min Wang, Boxin Xue, Ningxi Ni, Jialiang Yu, Yuhao Xie, Zhenyu Chen, Mengyun Chen, YuAn Liu, Piya Patra, Fan Xu, Jie Chen, Zidong Wang, Lijiang Yang, Fan Yu, Lei Chen, Yi Qin Gao
We provide in addition the benchmark training procedure for SOTA protein structure prediction model on this dataset.
1 code implementation • 17 Jun 2022 • Xin Jin, Longhai Wu, Guotao Shen, Youxin Chen, Jie Chen, Jayoon Koo, Cheul-hee Hahm
We present a novel simple yet effective algorithm for motion-based video frame interpolation.
Ranked #3 on Video Frame Interpolation on MSU Video Frame Interpolation (LPIPS metric)
1 code implementation • 11 Jun 2022 • Jie Chen, Min Zhao, Xiuheng Wang, Cédric Richard, Susanto Rahardja
Spectral unmixing is one of the most important quantitative analysis tasks in hyperspectral data processing.
no code implementations • 30 May 2022 • Jie Chen, Weiqi Liu, Zhizhong Huang, Junbin Gao, Junping Zhang, Jian Pu
The performance of GNNs degrades as they become deeper due to the over-smoothing.
Ranked #9 on Node Classification on Squirrel
no code implementations • 23 May 2022 • Tianjie Wang, Jie Chen, Joel Vaughan, Vijayan N. Nair
Regression problems with time-series predictors are common in banking and many other areas of application.
no code implementations • 9 May 2022 • Hao Li, Xu Li, Belhal Karimi, Jie Chen, Mingming Sun
Modeling visual question answering(VQA) through scene graphs can significantly improve the reasoning accuracy and interpretability.
no code implementations • 27 Apr 2022 • Alice J. Liu, Arpita Mukherjee, Linwei Hu, Jie Chen, Vijayan N. Nair
Overall, XGB and FFNNs were competitive, with FFNNs showing better performance in smooth models and tree-based boosting algorithms performing better in non-smooth models.
no code implementations • 26 Apr 2022 • Vijayan N. Nair, Tianshu Feng, Linwei Hu, Zach Zhang, Jie Chen, Agus Sudjianto
The applicant is then entitled to an explanation for the negative decision.
no code implementations • CVPR 2022 • Mengjun Cheng, Yipeng Sun, Longchao Wang, Xiongwei Zhu, Kun Yao, Jie Chen, Guoli Song, Junyu Han, Jingtuo Liu, Errui Ding, Jingdong Wang
Visual appearance is considered to be the most important cue to understand images for cross-modal retrieval, while sometimes the scene text appearing in images can provide valuable information to understand the visual semantics.
Ranked #10 on Cross-Modal Retrieval on Flickr30k (using extra training data)
1 code implementation • CVPR 2022 • Qinqin Zhou, Kekai Sheng, Xiawu Zheng, Ke Li, Xing Sun, Yonghong Tian, Jie Chen, Rongrong Ji
Recently, Vision Transformer (ViT) has achieved remarkable success in several computer vision tasks.
1 code implementation • 19 Mar 2022 • Jie Chen, Shouzhen Chen, Junbin Gao, Zengfeng Huang, Junping Zhang, Jian Pu
Moreover, we propose a simple yet effective Conv-Agnostic GNN framework (CAGNNs) to enhance the performance of most GNNs on heterophily datasets by learning the neighbor effect for each node.
1 code implementation • ICLR 2022 • Minghao Guo, Veronika Thost, Beichen Li, Payel Das, Jie Chen, Wojciech Matusik
This is a non-trivial task for neural network-based generative models since the relevant chemical knowledge can only be extracted and generalized from the limited training data.
no code implementations • 25 Feb 2022 • Kaining Mao, Wei zhang, Deborah Baofeng Wang, Ang Li, Rongqi Jiao, Yanhui Zhu, Bin Wu, Tiansheng Zheng, Lei Qian, Wei Lyu, Minjie Ye, Jie Chen
For the text modality, we use global vectors for word representation (GloVe) to perform word embeddings and the embeddings are fed into the Bi-LSTM network.
no code implementations • 25 Feb 2022 • Feifei Shao, Yawei Luo, Ping Liu, Jie Chen, Yi Yang, Yulei Lu, Jun Xiao
To deploy SSDR-AL in a more practical scenario, we design a noise-aware iterative labeling strategy to confront the "noisy annotation" problem introduced by the previous "dominant labeling" strategy in superpoints.
no code implementations • 16 Feb 2022 • Xin Wang, Julian Berberich, Jian Sun, Gang Wang, Frank Allgöwer, Jie Chen
To this end, we begin by presenting a dynamic event-triggering scheme (ETS) based on periodic sampling, and a discrete-time looped-functional approach, through which a model-based stability condition is derived.
4 code implementations • ICLR 2022 • Enyan Dai, Jie Chen
Anomaly detection is a widely studied task for a broad variety of data types; among them, multiple time series appear frequently in applications, including for example, power grids and traffic networks.
Ranked #3 on Anomaly Detection on voraus-AD
no code implementations • 9 Feb 2022 • Jie Chen, Chang Liu, Jiawu Xie, Jie An, Nan Huang
In particular, this method breaks through the limitations of the existing methods, not only achieves good results in multivariate separation, but also effectively separates signals when mixed with 40dB Gaussian noise signals.
no code implementations • 7 Feb 2022 • Nhan H. Pham, Lam M. Nguyen, Jie Chen, Hoang Thanh Lam, Subhro Das, Tsui-Wei Weng
In recent years, a proliferation of methods were developed for cooperative multi-agent reinforcement learning (c-MARL).
1 code implementation • 1 Feb 2022 • Jie Chen, Weiqi Liu, Jian Pu
Based on the homophily assumption, the current message passing always aggregates features of connected nodes, such as the graph Laplacian smoothing process.
1 code implementation • 24 Jan 2022 • Xiuheng Wang, Jie Chen, Cédric Richard
To overcome inherent hardware limitations of hyperspectral imaging systems with respect to their spatial resolution, fusion-based hyperspectral image (HSI) super-resolution is attracting increasing attention.
no code implementations • CVPR 2022 • Zhuangzhuang Chen, Jin Zhang, Zhuonan Lai, Jie Chen, Zun Liu, Jianqiang Li
Despite the substantial progress of deep models for crack recognition, due to the inconsistent cracks in varying sizes, shapes, and noisy background textures, there still lacks the discriminative power of the deeply learned features when supervised by the cross-entropy loss.
1 code implementation • 21 Dec 2021 • Jie Chen, Lifen Jiang, Chunmei Ma, Huazhi Sun
In this paper, we propose a Multi-Preferences Model (MPM) to eliminate the effects of unexpected behaviors.
no code implementations • 10 Dec 2021 • Jianqi Chen, Tian Qi, Jie Chen
In this paper, we investigate the mean-square stability and stabilizability problems for linear time-invariant systems under stochastic spatially correlated multiplicative uncertainties.
no code implementations • 25 Nov 2021 • Xiaoxiao Zhao, Jinlong Lei, Li Li, Jie Chen
This paper studies a distributed policy gradient in collaborative multi-agent reinforcement learning (MARL), where agents over a communication network aim to find the optimal policy to maximize the average of all agents' local returns.
Multi-agent Reinforcement Learning reinforcement-learning +2
1 code implementation • 23 Nov 2021 • Zhizhong Huang, Jie Chen, Junping Zhang, Hongming Shan
The strengths of ProPos are avoidable class collision issue, uniform representations, well-separated clusters, and within-cluster compactness.
Ranked #2 on Image Clustering on ImageNet-10
no code implementations • AAAI Workshop AdvML 2022 • Shaojie Xu, Joel Vaughan, Jie Chen, Aijun Zhang, Agus Sudjianto
Our polytope traversing algorithm can be adapted to a wide range of applications related to robustness and interpretability.
no code implementations • 20 Nov 2021 • Wenpeng Xing, Jie Chen
One of the seminal image-based rendering method, the multi-plane image (MPI), produces high novel-view synthesis quality for static scenes.
no code implementations • 17 Nov 2021 • Shaojie Xu, Joel Vaughan, Jie Chen, Aijun Zhang, Agus Sudjianto
Although neural networks (NNs) with ReLU activation functions have found success in a wide range of applications, their adoption in risk-sensitive settings has been limited by the concerns on robustness and interpretability.
no code implementations • 6 Nov 2021 • Xia Jiang, Xianlin Zeng, Jian Sun, Jie Chen, Lihua Xie
We prove that local variable estimates generated by the proposed algorithm achieve consensus and are attracted to a neighborhood of the optimal solution in expectation with an $\mathcal{O}(\frac{1}{T}+\frac{1}{\sqrt{T}})$ convergence rate, where $T$ is the total number of iterations.
no code implementations • 5 Nov 2021 • Jie Chen, Lingfei Li
We develop deep learning models to learn the hedge ratio for S&P500 index options directly from options data.
no code implementations • 25 Oct 2021 • Wenjie Liu, Jian Sun, Gang Wang, Francesco Bullo, Jie Chen
Finally, a numerical example is given to validate the effectiveness of the proposed control method.
no code implementations • 25 Oct 2021 • Xin Wang, Jian Sun, Julian Berberich, Gang Wang, Frank Allgöwer, Jie Chen
Data-based representations for time-invariant linear systems with known or unknown system input matrices are first developed, along with a novel class of dynamic triggering schemes for sampled-data systems with time delays.
1 code implementation • 20 Oct 2021 • Yongquan Yang, Fengling Li, Yani Wei, Jie Chen, Ning Chen, Hong Bu
Recent studies have demonstrated the effectiveness of the combination of machine learning and logical reasoning, including data-driven logical reasoning, knowledge driven machine learning and abductive learning, in inventing advanced artificial intelligence technologies.
no code implementations • 18 Oct 2021 • Davide Rossi, Francesco Conti, Manuel Eggimann, Alfio Di Mauro, Giuseppe Tagliavini, Stefan Mach, Marco Guermandi, Antonio Pullini, Igor Loi, Jie Chen, Eric Flamand, Luca Benini
Vega achieves SoA-leading efficiency of 615 GOPS/W on 8-bit INT computation (boosted to 1. 3TOPS/W for 8-bit DNN inference with hardware acceleration).
1 code implementation • 16 Oct 2021 • Tim Kaler, Nickolas Stathas, Anne Ouyang, Alexandros-Stavros Iliopoulos, Tao B. Schardl, Charles E. Leiserson, Jie Chen
Improving the training and inference performance of graph neural networks (GNNs) is faced with a challenge uncommon in general neural networks: creating mini-batches requires a lot of computation and data movement due to the exponential growth of multi-hop graph neighborhoods along network layers.
no code implementations • 29 Sep 2021 • Mengbiao Zhao, Shixiong Xu, Jianlong Chang, Lingxi Xie, Jie Chen, Qi Tian
Having consumed huge amounts of training data and computational resource, large-scale pre-trained models are often considered key assets of AI service providers.
no code implementations • 29 Sep 2021 • Tengfei Ma, Trong Nghia Hoang, Jie Chen
On the top is a federation of the local data representations, performing global inference that incorporates all distributed parts collectively.
no code implementations • 29 Sep 2021 • Nhan Pham, Lam M. Nguyen, Jie Chen, Thanh Lam Hoang, Subhro Das, Tsui-Wei Weng
In recent years, a proliferation of methods were developed for multi-agent reinforcement learning (MARL).
no code implementations • 29 Sep 2021 • Han Huang, Stefan C Schonsheck, Rongjie Lai, Jie Chen
A geometric graph is a graph equipped with geometric information (i. e., node coordinates).
no code implementations • 14 Sep 2021 • Wei Gao, Jie Chen, Cédric Richard, Wentao Shi, Qunfei Zhang
The recursive least-squares algorithm with $\ell_1$-norm regularization ($\ell_1$-RLS) exhibits excellent performance in terms of convergence rate and steady-state error in identification of sparse systems.
no code implementations • 9 Sep 2021 • Shaojie Xu, Joel Vaughan, Jie Chen, Agus Sudjianto, Vijayan Nair
Principal component analysis (PCA) is a well-known linear dimension-reduction method that has been widely used in data analysis and modeling.
no code implementations • 4 Sep 2021 • Xiuxian Li, Kuo-Yi Lin, Li Li, Yiguang Hong, Jie Chen
For the first two cases, it can be shown that the scaled signGD converges at a linear rate.
1 code implementation • 19 Aug 2021 • Xiawu Zheng, Yuexiao Ma, Teng Xi, Gang Zhang, Errui Ding, Yuchao Li, Jie Chen, Yonghong Tian, Rongrong Ji
This practically limits the application of model compression when the model needs to be deployed on a wide range of devices.
no code implementations • 20 Jul 2021 • Xingxing Yang, Jie Chen, Zaifeng Yang, Zhenghua Chen
Finally, a Fusion Attention Block (FAB) is proposed to adaptively fuse the features from the two branches and generate an optimized colorization result.
no code implementations • 16 Jul 2021 • Jie Chen, Ryosuke Shimmura, Joe Suzuki
We consider learning an undirected graphical model from sparse data.
1 code implementation • NeurIPS 2021 • Tao Sheng, Jie Chen, Zhouhui Lian
For the task of end-to-end scene text recognition, our method outperforms Mask TextSpotter v3 by 1. 1% on Total-Text.
no code implementations • 13 Jul 2021 • Jie Chen, Zaifeng Yang, Tsz Nam Chan, Hui Li, Junhui Hou, Lap-Pui Chau
A progressive texture blending module is designed to blend the encoded two-stream features in a multi-scale and progressive manner.
no code implementations • 22 Jun 2021 • Jie Chen, Yousef Saad, Zechen Zhang
The general method of graph coarsening or graph reduction has been a remarkably useful and ubiquitous tool in scientific computing and it is now just starting to have a similar impact in machine learning.
1 code implementation • CVPR 2021 • Qiong Wu, Pingyang Dai, Jie Chen, Chia-Wen Lin, Yongjian Wu, Feiyue Huang, Bineng Zhong, Rongrong Ji
In this paper, we propose a joint Modality and Pattern Alignment Network (MPANet) to discover cross-modality nuances in different patterns for visible-infrared person Re-ID, which introduces a modality alleviation module and a pattern alignment module to jointly extract discriminative features.
no code implementations • 17 Jun 2021 • Wenpeng Xing, Jie Chen, Zaifeng Yang, Qiang Wang
Image-based geometric modeling and novel view synthesis based on sparse, large-baseline samplings are challenging but important tasks for emerging multimedia applications such as virtual reality and immersive telepresence.
no code implementations • 26 May 2021 • Xinran Li, Kuo-Yi Lin, Min Meng, Xiuxian Li, Li Li, Yiguang Hong, Jie Chen
Due to the growing awareness of driving safety and the development of sophisticated technologies, advanced driving assistance system (ADAS) has been equipped in more and more vehicles with higher accuracy and lower price.
1 code implementation • 25 May 2021 • Ruchir Puri, David S. Kung, Geert Janssen, Wei zhang, Giacomo Domeniconi, Vladimir Zolotov, Julian Dolby, Jie Chen, Mihir Choudhury, Lindsey Decker, Veronika Thost, Luca Buratti, Saurabh Pujar, Shyam Ramji, Ulrich Finkler, Susan Malaika, Frederick Reiss
In addition to its large scale, CodeNet has a rich set of high-quality annotations to benchmark and help accelerate research in AI techniques for a variety of critical coding tasks, including code similarity and classification, code translation between a large variety of programming languages, and code performance (runtime and memory) improvement techniques.
no code implementations • 13 May 2021 • Nengfeng Zhou, Zach Zhang, Vijayan N. Nair, Harsh Singhal, Jie Chen, Agus Sudjianto
In this paper, we provide an overview of bias and fairness issues that arise with the use of ML algorithms.
no code implementations • 11 May 2021 • Huihuang Chen, Li Li, Jie Chen, Kuo-Yi Lin
In addition to aligning the global distribution, the real domain adaptation should also align the meso distribution and the micro distribution.
no code implementations • 10 May 2021 • Jianqi Chen, Jieqiang Wei, Wei Chen, Henrik Sandberg, Karl H. Johansson, Jie Chen
Undetectable attacks are an important class of malicious attacks threatening the security of cyber-physical systems, which can modify a system's state but leave the system output measurements unaffected, and hence cannot be detected from the output.
no code implementations • 30 Apr 2021 • Dongming Yang, Yuexian Zou, Can Zhang, Meng Cao, Jie Chen
Upon the frame, an Interaction Intensifier Module and a Correlation Parsing Module are carefully designed, where: a) interactive semantics from humans can be exploited and passed to objects to intensify interactions, b) interactive correlations among humans, objects and interactions are integrated to promote predictions.
no code implementations • 28 Apr 2021 • Jie Chen, Shouzhen Chen, Mingyuan Bai, Jian Pu, Junping Zhang, Junbin Gao
In this paper, we consider the label dependency of graph nodes and propose a decoupling attention mechanism to learn both hard and soft attention.
no code implementations • 26 Apr 2021 • Jie Chen, Jie Liu, Chang Liu, Jian Zhang, Bing Han
To overcome this issue and to further improve the recognition performance, we adopt a deep learning approach for underwater target recognition and propose a LOFAR spectrum enhancement (LSE)-based underwater target recognition scheme, which consists of preprocessing, offline training, and online testing.
1 code implementation • 24 Apr 2021 • Yuxin Zhang, Mingbao Lin, Chia-Wen Lin, Jie Chen, Feiyue Huang, Yongjian Wu, Yonghong Tian, Rongrong Ji
Specifically, to model the contribution of each channel to differentiating categories, we develop a class-wise mask for each channel, implemented in a dynamic training manner w. r. t.
1 code implementation • 8 Apr 2021 • Zhiling Huang, Junwen Bu, Jie Chen
We firstly used Mask R-CNN to find the regions of different fashion items, and secondly used Neural Style Transfer to change the style of the selected fashion items.
1 code implementation • CVPR 2021 • Can Zhang, Meng Cao, Dongming Yang, Jie Chen, Yuexian Zou
In this paper, we argue that learning by comparing helps identify these hard snippets and we propose to utilize snippet Contrastive learning to Localize Actions, CoLA for short.
no code implementations • 28 Mar 2021 • Xiao Zang, Yi Xie, Siyu Liao, Jie Chen, Bo Yuan
In this paper, we, for the first time, perform systematic investigation on noise injection-based regularization for point cloud-domain DNNs.
3 code implementations • ICCV 2021 • Zihan Xu, Mingbao Lin, Jianzhuang Liu, Jie Chen, Ling Shao, Yue Gao, Yonghong Tian, Rongrong Ji
We prove that reviving the "dead weights" by ReCU can result in a smaller quantization error.
no code implementations • 22 Mar 2021 • Wenjie Liu, Jian Sun, Gang Wang, Francesco Bullo, Jie Chen
When both input and output channels are subject to DoS attacks and quantization, the proposed structure is shown able to decouple the encoding schemes for input, output, and estimated output signals.
no code implementations • 18 Mar 2021 • Agus Sudjianto, Jinwen Qiu, Miaoqi Li, Jie Chen
The LIFE algorithm is able to fit a wide single-hidden-layer neural network (NN) accurately with three steps: defining the subsets of a dataset by the linear projections of neural nodes, creating the features from multiple narrow single-hidden-layer NNs trained on the different subsets of the data, combining the features with a linear model.
no code implementations • 12 Mar 2021 • Maboud F. Kaloorazi, Jie Chen
The efficiency and effectiveness of our proposed PbP-QLP algorithm are investigated through various classes of synthetic and real-world data matrices.
1 code implementation • 1 Mar 2021 • Yang Yang, Jiancong Chen, Ruixuan Wang, Ting Ma, Lingwei Wang, Jie Chen, Wei-Shi Zheng, Tong Zhang
Despite tremendous efforts, it is very challenging to generate a robust model to assist in the accurate quantification assessment of COVID-19 on chest CT images.
no code implementations • 24 Feb 2021 • Jie Chen, Tobias Stollenwerk, Nicholas Chancellor
In this paper we experimentally test the performance of the recently proposed domain-wall encoding of discrete variables from [Chancellor Quantum Sci.
Quantum Physics
1 code implementation • 25 Jan 2021 • Yuanzhuo Li, Yunan Zheng, Jie Chen, Zhenyu Xu, Yiguang Liu
Among the major remaining challenges for single image super resolution (SISR) is the capacity to recover coherent images with global shapes and local details conforming to human vision system.
1 code implementation • 23 Jan 2021 • Yuliang Ji, Ru Huang, Jie Chen, Yuanzhe Xi
Deep generative models, since their inception, have become increasingly more capable of generating novel and perceptually realistic signals (e. g., images and sound waves).
1 code implementation • ICLR 2021 • Veronika Thost, Jie Chen
Graph-structured data ubiquitously appears in science and engineering.
Ranked #8 on Graph Property Prediction on ogbg-code2
1 code implementation • ICLR 2021 • Chao Shang, Jie Chen, Jinbo Bi
Exploration of the correlation and causation among the variables in a multivariate time series shows promise in enhancing the performance of a time series model.
no code implementations • 12 Jan 2021 • Wei Gao, Jie Chen, Cédric Richard
Convergence of the diffusion RLS (DRLS) algorithm to steady-state has been extensively studied in the literature, whereas no analysis of its transient convergence behavior has been reported yet.
2 code implementations • ICCV 2021 • Hongliang He, Zhongyi Huang, Yao Ding, Guoli Song, Lin Wang, Qian Ren, Pengxu Wei, Zhiqiang Gao, Jie Chen
Specifically, we define the centripetal direction feature as a class of adjacent directions pointing to the nuclear center to represent the spatial relationship between pixels within the nucleus.
1 code implementation • 24 Dec 2020 • Min Zhao, Xiuheng Wang, Jie Chen, Wei Chen
Spectral unmixing is a widely used technique in hyperspectral image processing and analysis.
no code implementations • 15 Dec 2020 • Bin Li, Zhikang Jiang, Jie Chen
Computing the Sparse Fast Fourier Transform(sFFT) of a K-sparse signal of size N has emerged as a critical topic for a long time.
1 code implementation • 9 Dec 2020 • Shanshan Wang, Cheng Li, Rongpin Wang, Zaiyi Liu, Meiyun Wang, Hongna Tan, Yaping Wu, Xinfeng Liu, Hui Sun, Rui Yang, Xin Liu, Jie Chen, Huihui Zhou, Ismail Ben Ayed, Hairong Zheng
Automatic medical image segmentation plays a critical role in scientific research and medical care.
no code implementations • NeurIPS 2020 • Jinlong Lei, Peng Yi, Yiguang Hong, Jie Chen, Guodong Shi
The regret bounds scaling with respect to $T$ match those obtained by state-of-the-art algorithms and fundamental limits in the corresponding centralized online optimization problems, e. g., $\mathcal{O}(\sqrt{T}) $ and $\mathcal{O}(\ln(T)) $ regrets are established for convex and strongly convex losses with full gradient feedback and two-points information, respectively.
no code implementations • 25 Nov 2020 • Yongquan Yang, Yiming Yang, Jie Chen, Jiayi Zheng, Zhongxi Zheng
Learning from noisy labels is an important concern in plenty of real-world scenarios.
no code implementations • 20 Nov 2020 • Tingting Zhang, Jie Chen, Caiying Wu, Zhifei He, Tieyong Zeng, Qiyu Jin
In the proposed model, it detects the edges and then spatially adjusts the parameters of Tikhonov and TV regularization terms for each pixel according to the edge information.
no code implementations • 11 Nov 2020 • Bin Li, Zhikang Jiang, Jie Chen
The sFFT algorithms decrease the runtime and sampling complexity by taking advantage of the signal inherent characteristics that a large number of signals are sparse in the frequency domain(e. g., sensors, video data, audio, medical image, etc.).
no code implementations • 11 Nov 2020 • Bin Li, Zhikang Jiang, Jie Chen
In the second part, we make two categories of experiments for computing the signals of different SNR, different N, different K by a standard testing platform and record the run time, percentage of the signal sampled and L0, L1, L2 error both in the exactly sparse case and general sparse case.
no code implementations • 9 Nov 2020 • Yu Chen, Jie Chen, Ganesh Krishnamurthi, Huijing Yang, Huahui Wang, Wenjie Zhao
Due to the high variability of the traffic in the radio access network (RAN), fixed network configurations are not flexible enough to achieve optimal performance.
no code implementations • Knowledge Based Systems 2020 • Chao Wu, Qingyu Xiong, Hualing Yi, Yang Yu, Qiwu Zhu, Min Gao, Jie Chen
In this paper, we propose a novel end-to-end multiple-element joint detection model (MEJD), which effectively extracts all (target, aspect, sentiment) triples from a sentence.
Aspect-Based Sentiment Analysis Aspect-Based Sentiment Analysis (ABSA) +2
no code implementations • 9 Oct 2020 • Min Zhao, Tiande Gao, Jie Chen, Wei Chen
In our work, we propose an NMF based unmixing framework which jointly uses a handcrafting regularizer and a learnt regularizer from data.
no code implementations • 26 Sep 2020 • Jing Jin, Junhui Hou, Zhiyu Zhu, Jie Chen, Sam Kwong
To preserve the parallax structure among the reconstructed SAIs, we subsequently append a consistency regularization network trained over a structure-aware loss function to refine the parallax relationships over the coarse estimation.
no code implementations • 19 Sep 2020 • Xiaoqing Zheng, Jie Chen, Hongcheng Wang, Song Zheng, Yaguang Kong
A machine vision-based surface quality inspection system is usually composed of two processes: image acquisition and automatic defect detection.
1 code implementation • 16 Sep 2020 • Xuehui Yu, Zhenjun Han, Yuqi Gong, Nan Jiang, Jian Zhao, Qixiang Ye, Jie Chen, Yuan Feng, Bin Zhang, Xiaodi Wang, Ying Xin, Jingwei Liu, Mingyuan Mao, Sheng Xu, Baochang Zhang, Shumin Han, Cheng Gao, Wei Tang, Lizuo Jin, Mingbo Hong, Yuchao Yang, Shuiwang Li, Huan Luo, Qijun Zhao, Humphrey Shi
The 1st Tiny Object Detection (TOD) Challenge aims to encourage research in developing novel and accurate methods for tiny object detection in images which have wide views, with a current focus on tiny person detection.
1 code implementation • 9 Sep 2020 • Xiuheng Wang, Jie Chen, Qi Wei, Cédric Richard
Furthermore, the regularization parameter is simultaneously estimated to automatically adjust contribution of the physical model and {the} learned prior to reconstruct the final HR HSI.
no code implementations • 28 Jul 2020 • Linwei Hu, Jie Chen, Joel Vaughan, Hanyu Yang, Kelly Wang, Agus Sudjianto, Vijayan N. Nair
This article provides an overview of Supervised Machine Learning (SML) with a focus on applications to banking.
no code implementations • 28 Jul 2020 • Linwei Hu, Jie Chen, Vijayan N. Nair, Agus Sudjianto
Supervised Machine Learning (SML) algorithms, such as Gradient Boosting, Random Forest, and Neural Networks, have become popular in recent years due to their superior predictive performance over traditional statistical methods.
no code implementations • 27 Jul 2020 • Yanna Bai, Wei Chen, Jie Chen, Weisi Guo
The linear inverse problem is fundamental to the development of various scientific areas.