1 code implementation • 22 Jun 2022 • Wei Jiang, Wentao Dong
In this work, we investigate into the performance of mainstream neural generative models on the very task of swapping faces.
no code implementations • CVPR 2022 • Zhihao Hu, Guo Lu, Jinyang Guo, Shan Liu, Wei Jiang, Dong Xu
The previous deep video compression approaches only use the single scale motion compensation strategy and rarely adopt the mode prediction technique from the traditional standards like H. 264/H. 265 for both motion and residual compression.
no code implementations • 2 May 2022 • Lijun Zhang, Wei Jiang, JinFeng Yi, Tianbao Yang
In this paper, we investigate an online prediction strategy named as Discounted-Normal-Predictor (Kapralov and Panigrahy, 2010) for smoothed online convex optimization (SOCO), in which the learner needs to minimize not only the hitting cost but also the switching cost.
no code implementations • 11 Apr 2022 • Haojie Liu, Daoxun Xia, Wei Jiang, Chao Xu
In order to mitigate the impact of large modality discrepancy existing in heterogeneous images, previous methods attempt to apply generative adversarial network (GAN) to generate the modality-consisitent data.
no code implementations • 23 Mar 2022 • Wei Jiang, Kwang Moo Yi, Golnoosh Samei, Oncel Tuzel, Anurag Ranjan
Photorealistic rendering and reposing of humans is important for enabling augmented reality experiences.
no code implementations • 15 Feb 2022 • Wei Jiang, Bokun Wang, Yibo Wang, Lijun Zhang, Tianbao Yang
To address this limitation, we propose a Stochastic Multi-level Variance Reduction method (SMVR), which achieves the optimal sample complexity of $\mathcal{O}\left(1 / \epsilon^{3}\right)$ to find an $\epsilon$-stationary point for non-convex objectives.
no code implementations • 21 Jan 2022 • Peixi Liu, Guangxu Zhu, Wei Jiang, Wu Luo, Jie Xu, Shuguang Cui
This letter studies a vertical federated edge learning (FEEL) system for collaborative objects/human motion recognition by exploiting the distributed integrated sensing and communication (ISAC).
no code implementations • CVPR 2022 • Zhenghao Chen, Guo Lu, Zhihao Hu, Shan Liu, Wei Jiang, Dong Xu
In this work, we propose the first end-to-end optimized framework for compressing automotive stereo videos (i. e., stereo videos from autonomous driving applications) from both left and right views.
no code implementations • 3 Dec 2021 • Wei Jiang, Alexander M. Haimovich, Mark Govoni, Timothy Garner, Osvaldo Simeone
One approach is based on transfer learning: it first pre-trains a detector such that it works well on data collected in previously observed environments, and then it adapts the pre-trained detector to the specific current environment.
no code implementations • 16 Nov 2021 • Wei Jiang, Wei Wang, Songnan Li, Shan Liu
This work addresses two major issues of end-to-end learned image compression (LIC) based on deep neural networks: variable-rate learning where separate networks are required to generate compressed images with varying qualities, and the train-test mismatch between differentiable approximate quantization and true hard quantization.
no code implementations • 22 Oct 2021 • YanRong Li, Lai Wei, Wei Jiang
This paper proposes a two-stage pricing strategy for nondurable (such as typical electronics) products, where retail price is cut down at certain time points of the product lifecycle.
no code implementations • 22 Oct 2021 • YanRong Li, Juan Du, Wei Jiang
Process control is widely discussed in the manufacturing process, especially for semiconductor manufacturing.
no code implementations • 1 Oct 2021 • Jian Yang, Gang Xiao, Yulong Shen, Wei Jiang, Xinyu Hu, Ying Zhang, Jinghui Peng
Pre-trained models learn informative representations on large-scale training data through a self-supervised or supervised learning method, which has achieved promising performance in natural language processing (NLP), computer vision (CV), and cross-modal fields after fine-tuning.
no code implementations • 1 Jul 2021 • Yiyang Chen, Wei Jiang, Themistoklis Charalambous
A machine learning (ML) based nominal model update mechanism, which utilizes the linear regression technique to update the nominal model at each ILC trial only using the current trial information, is proposed for non-repetitive TVSs in order to enhance the ILC performance.
no code implementations • 15 Jun 2021 • Sheng Lin, Wei Jiang, Wei Wang, Kaidi Xu, Yanzhi Wang, Shan Liu, Songnan Li
Compressing Deep Neural Network (DNN) models to alleviate the storage and computation requirements is essential for practical applications, especially for resource limited devices.
no code implementations • 16 May 2021 • Xiao Wang, Wei Jiang, Wei Wang, Shan Liu, Brian Kulis, Peter Chin
The key idea is to replace the image to be compressed with a substitutional one that outperforms the original one in a desired way.
no code implementations • 3 May 2021 • Wei Jiang, Kun Liu, Themistoklis Charalambous
First, for all agents whose state matrix has no eigenvalues with positive real parts, a communication-delay-related observer, which is used to construct the controller, is designed for followers to estimate the leader's state information.
no code implementations • 7 Apr 2021 • Hao Wang, Xiangyu Yang, Wei Jiang
Specifically, if the current iterate is in the interior of the feasible set, then the weighted $\ell_{1}$ ball is formed by linearizing the $\ell_{p}$ norm at the current iterate.
no code implementations • 6 Apr 2021 • Panpan Zhang, Bin Li, Jinye Peng, Wei Jiang
Heart beat rhythm and heart rate (HR) are important physiological parameters of the human body.
1 code implementation • ICCV 2021 • Wei Jiang, Eduard Trulls, Jan Hosang, Andrea Tagliasacchi, Kwang Moo Yi
We propose a novel framework for finding correspondences in images based on a deep neural network that, given two images and a query point in one of them, finds its correspondence in the other.
Ranked #1 on
Dense Pixel Correspondence Estimation
on ETH3D
Dense Pixel Correspondence Estimation
Optical Flow Estimation
no code implementations • 19 Feb 2021 • Wei Jiang, Alexander M. Haimovich, Osvaldo Simeone
In the second approach, the transmitter and detector are trained simultaneously.
no code implementations • NeurIPS 2021 • Lijun Zhang, Wei Jiang, Shiyin Lu, Tianbao Yang
Moreover, when the hitting cost is both convex and $\lambda$-quadratic growth, we reduce the competitive ratio to $1 + \frac{2}{\sqrt{\lambda}}$ by minimizing the weighted sum of the hitting cost and the switching cost.
4 code implementations • ICCV 2021 • Shuting He, Hao Luo, Pichao Wang, Fan Wang, Hao Li, Wei Jiang
Extracting robust feature representation is one of the key challenges in object re-identification (ReID).
Ranked #1 on
Person Re-Identification
on Market-1501-C
no code implementations • 5 Feb 2021 • Wei Jiang, Hans Dieter Schotten
In this paper, we propose a novel cooperative multi-relay transmission scheme for mobile terminals to exploit spatial diversity.
Information Theory Signal Processing Information Theory
no code implementations • 5 Feb 2021 • Wei Jiang, Hans Dieter Schotten
Opportunistic relay selection (ORS) has been recognized as a simple but efficient method for mobile nodes to achieve cooperative diversity in slow fading channels.
no code implementations • 2 Feb 2021 • Wei Jiang, Bin Han, Mohammad Asif Habibi, Hans Dieter Schotten
As of today, the fifth generation (5G) mobile communication system has been rolled out in many countries and the number of 5G subscribers already reaches a very large scale.
no code implementations • 11 Jan 2021 • Qiuheng Zhou, Wei Jiang
The results from the measurement are then trained and tested on the channel prediction algorithm.
no code implementations • 4 Jan 2021 • Bin Han, Wei Jiang, Mohammad Asif Habibi, Hans D. Schotten
As of today, 5G mobile systems have been already widely rolled out, it is the right time for academia and industry to explore the next generation mobile communication system beyond 5G.
Networking and Internet Architecture
1 code implementation • 25 Dec 2020 • Jianyang Gu, Hao Luo, Weihua Chen, Yiqi Jiang, Yuqi Zhang, Shuting He, Fan Wang, Hao Li, Wei Jiang
Considering the large gap between the source domain and target domain, we focused on solving two biases that influenced the performance on domain adaptive pedestrian Re-ID and proposed a two-stage training procedure.
1 code implementation • 19 Dec 2020 • Wentao Zhao, Dalin Zhou, Xinguo Qiu, Wei Jiang
We introduce a standard, reproducible benchmark to which the same training settings can be applied for node classification.
no code implementations • CVPR 2021 • Daniel Rebain, Wei Jiang, Soroosh Yazdani, Ke Li, Kwang Moo Yi, Andrea Tagliasacchi
Moreover, we show that a Voronoi spatial decomposition is preferable for this purpose, as it is provably compatible with the Painter's Algorithm for efficient and GPU-friendly rendering.
no code implementations • ECCV 2020 • Jianan Zhen, Qi Fang, Jiaming Sun, Wentao Liu, Wei Jiang, Hujun Bao, Xiaowei Zhou
Recovering multi-person 3D poses with absolute scales from a single RGB image is a challenging problem due to the inherent depth and scale ambiguity from a single view.
3D Depth Estimation
3D Multi-Person Pose Estimation (absolute)
+2
no code implementations • 23 Apr 2020 • Kaiyan Chang, Wei Jiang, Jinyu Zhan, Zicheng Gong, Weijia Pan
Specifically, our design can improve the accuracy on MNIST up to 97. 26% compared with RC4. The accuracies on the datasets encrypted by ArchNet are 97. 26%, 84. 15% and 79. 80%, and they are 97. 31%, 82. 31% and 80. 22% on the original datasets, which shows that the encrypted accuracy of ArchNet has the same performance as the base model.
2 code implementations • 22 Apr 2020 • Shuting He, Hao Luo, Weihua Chen, Miao Zhang, Yuqi Zhang, Fan Wang, Hao Li, Wei Jiang
Our solution is based on a strong baseline with bag of tricks (BoT-BS) proposed in person ReID.
no code implementations • 18 Mar 2020 • Islam Elnabarawy, Wei Jiang, Donald C. Wunsch II
Collaborative filtering recommendation systems provide recommendations to users based on their own past preferences, as well as those of other users who share similar interests.
no code implementations • 3 Mar 2020 • Zicheng Qiu, Wei Jiang, Turghunjan Mamut
The experimental results show that the decoding based on the static and fully composed graph reduces state-of-the-art Word Error Rate (WER) on the clean and noiseless speech test task in THUYG-20 to 14. 24%.
no code implementations • 29 Feb 2020 • Xing Fan, Hao Luo, Chi Zhang, Wei Jiang
Another challenge of RGB-infrared ReID is that the intra-person (images from the same person) discrepancy is often larger than the inter-person (images from different persons) discrepancy, so a dual-subspace pairing strategy is proposed to alleviate this problem.
no code implementations • 2 Dec 2019 • Wei Jiang, Alexander M. Haimovich, Osvaldo Simeone
An end-to-end learning approach is proposed for the joint design of transmitted waveform and detector in a radar system.
Signal Processing
no code implementations • CONLL 2019 • Yue Zhang, Wei Jiang, Qingrong Xia, Junjie Cao, Rui Wang, Zhenghua Li, Min Zhang
Our final submission ranks the third on the overall MRP evaluation metric, the first on EDS and the second on UCCA.
no code implementations • 12 Oct 2019 • Jingjing Qian, Wei Jiang, Hao Luo, Hongyan Yu
Vehicle re-identification (Re-ID) has been attracting increasing interest in the field of computer vision due to the growing utilization of surveillance cameras in public security.
1 code implementation • 17 Sep 2019 • Wei Jiang, Juan Camilo Gamboa Higuera, Baptiste Angles, Weiwei Sun, Mehrsan Javan, Kwang Moo Yi
We propose an optimization-based framework to register sports field templates onto broadcast videos.
2 code implementations • 14 Sep 2019 • Wei Jiang, Malgorzata Bogdan, Julie Josse, Blazej Miasojedow, Veronika Rockova, Traumabase group
We consider the problem of variable selection in high-dimensional settings with missing observations among the covariates.
Methodology Applications Computation
1 code implementation • CVPR 2020 • Weiwei Sun, Wei Jiang, Eduard Trulls, Andrea Tagliasacchi, Kwang Moo Yi
Many problems in computer vision require dealing with sparse, unordered data in the form of point clouds.
4 code implementations • 19 Jun 2019 • Hao Luo, Wei Jiang, Youzhi Gu, Fuxu Liu, Xingyu Liao, Shenqi Lai, Jianyang Gu
The present study collects and evaluates these effective training tricks in person ReID.
Ranked #37 on
Person Re-Identification
on DukeMTMC-reID
no code implementations • 19 Jun 2019 • Zaiqiang Wu, Wei Jiang
The experimental results also show that the proposed differentiable renderer is of higher accuracy and efficiency compared with previous method of differentiable renderer.
no code implementations • 18 Jun 2019 • Xinglong Zhang, Wei Jiang, Shuyou Yu, Xin Xu, Zhizhong Li
So far, many control algorithms have been developed for singularly perturbed systems.
no code implementations • SEMEVAL 2019 • Wei Jiang, Zhenghua Li, Yu Zhang, Min Zhang
The key idea is to convert a UCCA semantic graph into a constituent tree, in which extra labels are deliberately designed to mark remote edges and discontinuous nodes for future recovery.
Ranked #1 on
UCCA Parsing
on SemEval 2019 Task 1
no code implementations • 21 May 2019 • Wei Jiang, Yan Tang
The prevalent approaches of Chinese word segmentation task almost rely on the Bi-LSTM neural network.
1 code implementation • 25 Mar 2019 • Chongsheng Zhang, Guowen Peng, Yuefeng Tao, Feifei Fu, Wei Jiang, George Almpanidis, Ke Chen
Hence, we collect and annotate the ShopSign dataset to advance research in Chinese scene text detection and recognition.
7 code implementations • 17 Mar 2019 • Hao Luo, Youzhi Gu, Xingyu Liao, Shenqi Lai, Wei Jiang
In the literature, some effective training tricks are briefly appeared in several papers or source codes.
Ranked #2 on
Person Re-Identification
on UAV-Human
no code implementations • 17 Mar 2019 • Hao Luo, Xing Fan, Chi Zhang, Wei Jiang
Competition (or confrontation) is observed between the STN module and the ReID module, and two-stage training is applied to acquire a strong STNReID for partial ReID.
no code implementations • CVPR 2019 • Huanyu Liu, Chao Peng, Changqian Yu, Jingbo Wang, Xu Liu, Gang Yu, Wei Jiang
Panoptic segmentation, which needs to assign a category label to each pixel and segment each object instance simultaneously, is a challenging topic.
no code implementations • 11 Mar 2019 • Wei Jiang, Zhenghua Li, Yu Zhang, Min Zhang
The key idea is to convert a UCCA semantic graph into a constituent tree, in which extra labels are deliberately designed to mark remote edges and discontinuous nodes for future recovery.
no code implementations • 5 Mar 2019 • Wei Jiang, Na Ying
The accuracy of the object detection model depends on whether the anchor boxes effectively trained.
no code implementations • 24 Jan 2019 • Zaiqiang Wu, Wei Jiang, Hao Luo, Lin Cheng
To calculate the partial derivatives with respect to the coordinates of the vertices, we employed detection rays to divide vertices of statistical body shape models into different groups depending on whether the vertex is in the region of self-intersection.
1 code implementation • ICCV 2019 • Wei Jiang, Weiwei Sun, Andrea Tagliasacchi, Eduard Trulls, Kwang Moo Yi
We propose a novel image sampling method for differentiable image transformation in deep neural networks.
no code implementations • 16 Oct 2018 • Xing Fan, Hao Luo, Xuan Zhang, Lingxiao He, Chi Zhang, Wei Jiang
Holistic person re-identification (ReID) has received extensive study in the past few years and achieves impressive progress.
no code implementations • 3 Oct 2018 • Ken Goss, Wei Jiang
In this paper, we develop an innovative distributed architecture to obliviously manage and evaluate firewalls to prevent both insider and external attacks oriented to the firewalls.
Cryptography and Security
2 code implementations • 2 Jul 2018 • Xing Fan, Wei Jiang, Hao Luo, Mengjuan Fei
In this paper, we use a modified softmax function, termed Sphere Softmax, to solve the classification problem and learn a hypersphere manifold embedding simultaneously.
no code implementations • 11 Jun 2018 • Wei Jiang, Yan Wu
We propose the DFNet and make two main contributions, one is dynamic loss weights, and the other is residual fusion block (RFB).
2 code implementations • 11 May 2018 • Wei Jiang, Julie Josse, Marc Lavielle, Traumabase group
We propose a complete approach, including the estimation of parameters and their variance, derivation of confidence intervals, a model selection procedure, and a method for prediction on test sets with missing values.
Methodology
no code implementations • 19 Apr 2018 • Yan Wu, Tao Yang, Junqiao Zhao, Linting Guan, Wei Jiang
At the same time, we proposed a highly fused convolutional network (HFCN) based segmentation method for parking slot and lane markings based on the PSV dataset.
6 code implementations • 22 Nov 2017 • Xuan Zhang, Hao Luo, Xing Fan, Weilai Xiang, Yixiao Sun, Qiqi Xiao, Wei Jiang, Chi Zhang, Jian Sun
In this paper, we propose a novel method called AlignedReID that extracts a global feature which is jointly learned with local features.
Ranked #1 on
Person Re-Identification
on CUHK-SYSU
no code implementations • 11 May 2017 • Thangarajah Akilan, Q. M. Jonathan Wu, Wei Jiang
Following the rapidly growing digital image usage, automatic image categorization has become preeminent research area.