no code implementations • 11 Oct 2024 • Qianli Zhou, Hao Luo, Lipeng Pan, Yong Deng, Eloi Bosse
In this paper, we implement the transferable belief model on quantum circuits and demonstrate that belief functions offer a more concise and effective alternative to Bayesian approaches within the quantum computing framework.
no code implementations • 26 Sep 2024 • Jinghao Zhang, Wen Qian, Hao Luo, Fan Wang, Feng Zhao
Diffusion models have made compelling progress on facilitating high-throughput daily production.
1 code implementation • 7 Sep 2024 • Zimu Liao, Siyan Chen, Rong Fu, Yi Wang, Zhongling Su, Hao Luo, Li Ma, Linning Xu, Bo Dai, Hengjie Li, Zhilin Pei, Xingcheng Zhang
However, adapting 3DGS to different camera models, particularly fisheye lenses, poses challenges due to the unique 3D to 2D projection calculation.
1 code implementation • 6 Sep 2024 • Hao Luo, Baoliang Chen, Lingyu Zhu, Peilin Chen, Shiqi Wang
Recent single image-based enhancement methods may not be able to provide consistently desirable restoration performance for all views due to the ignorance of potential feature correspondence among different views.
1 code implementation • 12 May 2024 • Hao Luo, Ahmed Alkhateeb
Compressive sensing is a promising solution for the channel estimation in multiple-input multiple-output (MIMO) systems with large antenna arrays and constrained hardware.
no code implementations • 1 Apr 2024 • Hu Yu, Hao Luo, Fan Wang, Feng Zhao
The correspondence between input text and the generated image exhibits opacity, wherein minor textual modifications can induce substantial deviations in the generated image.
no code implementations • 28 Mar 2024 • Yiyu Wang, Hao Luo, Jungang Xu, Yingfei Sun, Fan Wang
Among them, the mainstream solution is to project image embeddings into the text embedding space with the assistance of consistent representations between image-text pairs from the CLIP model.
1 code implementation • 27 Feb 2024 • Zhaoyang Wang, Dongyang Li, Mingyang Zhang, Hao Luo, Maoguo Gong
Existing hyperspectral image (HSI) super-resolution (SR) methods struggle to effectively capture the complex spectral-spatial relationships and low-level details, while diffusion models represent a promising generative model known for their exceptional performance in modeling complex relations and learning high and low-level visual features.
1 code implementation • 15 Feb 2024 • Zhiwei Tang, Jiasheng Tang, Hao Luo, Fan Wang, Tsung-Hui Chang
Our experiments demonstrate that ParaTAA can decrease the inference steps required by common sequential sampling algorithms such as DDIM and DDPM by a factor of 4$\sim$14 times.
1 code implementation • 29 Jan 2024 • Hao Luo, Ahmed Alkhateeb
In particular, using the RIS as a wireless imaging device, our system constructs the scene depth map of the environment, including the mobile user.
1 code implementation • 18 Jan 2024 • Hao Luo, Umut Demirhan, Ahmed Alkhateeb
Then, we study a joint beamforming design problem with the goal of minimizing the total transmit power while satisfying the tag detection and communication requirements.
no code implementations • 14 Dec 2023 • Yabing Wang, Fan Wang, Jianfeng Dong, Hao Luo
Cross-lingual cross-modal retrieval has garnered increasing attention recently, which aims to achieve the alignment between vision and target language (V-T) without using any annotated V-T data pairs.
no code implementations • 13 Nov 2023 • Shuting He, Hao Luo, Wei Jiang, Xudong Jiang, Henghui Ding
With the help of relational knowledge transfer, VGKT is capable of aligning semantic-group textual features with corresponding visual features without external tools and complex pairwise interaction.
Ranked #8 on Text based Person Retrieval on CUHK-PEDES (using extra training data)
no code implementations • 27 Oct 2023 • Hui Sun, Hao Luo, Feifei Wang, Qingjiu Chen, Meng Chen, Xiaoduo Wang, Haibo Yu, Guanglie Zhang, Lianqing Liu, JianPing Wang, Dapeng Wu, Wen Jung Li
Scanning electron microscopy (SEM) is indispensable in diverse applications ranging from microelectronics to food processing because it provides large depth-of-field images with a resolution beyond the optical diffraction limit.
1 code implementation • journal 2023 • Hao Luo, Qianli Zhou, Zhen Li, Yong Deng
Dempster–Shafer Theory (DST), as a method of handling uncertain information, is widely used in decisionmaking and information fusion.
2 code implementations • 15 Sep 2023 • Henry Hengyuan Zhao, Pichao Wang, Yuyang Zhao, Hao Luo, Fan Wang, Mike Zheng Shou
Experiments on 19 visual transfer learning downstream tasks demonstrate that our SCT outperforms full fine-tuning on 18 out of 19 tasks by adding only 0. 11M parameters of the ViT-B, which is 780$\times$ fewer than its full fine-tuning counterpart.
no code implementations • 11 Sep 2023 • Yabing Wang, Shuhui Wang, Hao Luo, Jianfeng Dong, Fan Wang, Meng Han, Xun Wang, Meng Wang
Therefore, we propose Dual-view Curricular Optimal Transport (DCOT) to learn with noisy correspondence in CCR.
1 code implementation • 10 Sep 2023 • Zelin Zang, Hao Luo, Kai Wang, Panpan Zhang, Fan Wang, Stan. Z Li, Yang You
With the help of iterative training of the semantic encoder and diffusion model, DiffAug improves the representation ability in an uninterrupted and unsupervised manner.
Ranked #1 on Data Augmentation on GA1457
no code implementations • 7 Sep 2023 • Shuting He, Weihua Chen, Kai Wang, Hao Luo, Fan Wang, Wei Jiang, Henghui Ding
Then, to measure the importance of each generated region, we introduce a Region Assessment Module (RAM) that assigns confidence scores to different regions and reduces the negative impact of the occlusion regions by lower scores.
1 code implementation • 21 Aug 2023 • Jianyang Gu, Hao Luo, Kai Wang, Wei Jiang, Yang You, Jian Zhao
In this work, we propose a Color Prompting (CoP) method for data-free continual unsupervised domain adaptive person Re-ID.
Domain Adaptive Person Re-Identification Person Re-Identification +1
no code implementations • ICCV 2023 • Shuning Chang, Pichao Wang, Hao Luo, Fan Wang, Mike Zheng Shou
Therefore, we propose the path pruning and EnsembleScale skills for improvement, which cut out the underperforming paths and re-weight the ensemble components, respectively, to optimize the path combination and make the short paths focus on providing high-quality representation for subsequent paths.
1 code implementation • 3 Aug 2023 • Hao Luo, Umut Demirhan, Ahmed Alkhateeb
Utilizing radar sensing for assisting communication has attracted increasing interest thanks to its potential in dynamic environments.
4 code implementations • CVPR 2023 • Weihua Chen, Xianzhe Xu, Jian Jia, Hao Luo, Yaohua Wang, Fan Wang, Rong Jin, Xiuyu Sun
Unlike the existing self-supervised learning methods, prior knowledge from human images is utilized in SOLIDER to build pseudo semantic labels and import more semantic information into the learned representation.
Ranked #1 on Person Search on PRW
1 code implementation • 19 Mar 2023 • Haobin Jiang, Junpeng Yue, Hao Luo, Ziluo Ding, Zongqing Lu
One of the essential missions in the AI research community is to build an autonomous embodied agent that can achieve high-level performance across a wide spectrum of tasks.
no code implementations • 14 Mar 2023 • Hengyuan Zhao, Hao Luo, Yuyang Zhao, Pichao Wang, Fan Wang, Mike Zheng Shou
In view of the practicality of PETL, previous works focus on tuning a small set of parameters for each downstream task in an end-to-end manner while rarely considering the task distribution shift issue between the pre-training task and the downstream task.
1 code implementation • CVPR 2023 • Jianyang Gu, Kai Wang, Hao Luo, Chen Chen, Wei Jiang, Yuqiang Fang, Shanghang Zhang, Yang You, Jian Zhao
Neural Architecture Search (NAS) has been increasingly appealing to the society of object Re-Identification (ReID), for that task-specific architectures significantly improve the retrieval performance.
Ranked #8 on Vehicle Re-Identification on VehicleID Large
no code implementations • 16 Feb 2023 • Hao Luo, Jiechuan Jiang, Zongqing Lu
To help the policy improvement be stable and monotonic, we propose model-based decentralized policy optimization (MDPO), which incorporates a latent variable function to help construct the transition and reward function from an individual perspective.
1 code implementation • 13 Jan 2023 • Jie Gui, Tuo Chen, Jing Zhang, Qiong Cao, Zhenan Sun, Hao Luo, DaCheng Tao
Deep supervised learning algorithms typically require a large volume of labeled data to achieve satisfactory performance.
no code implementations • 8 Jan 2023 • Wenzhe Li, Hao Luo, Zichuan Lin, Chongjie Zhang, Zongqing Lu, Deheng Ye
Transformer has been considered the dominating neural architecture in NLP and CV, mostly under supervised settings.
1 code implementation • 28 Nov 2022 • Jie Gui, Tuo Chen, Minjing Dong, Zhengqi Liu, Hao Luo, James Tin-Yau Kwok, Yuan Yan Tang
To tackle this issue, we propose the Frequency \& Attention-driven Masking and Throwing Strategy (FAMT), which can extract semantic patches and reduce the number of training patches to boost model performance and training efficiency simultaneously.
1 code implementation • 15 Nov 2022 • Abdelrahman Taha, Hao Luo, Ahmed Alkhateeb
In this paper, we propose to employ RIS-aided wireless sensing systems for scene depth estimation.
1 code implementation • NIPS 2022 • Zhenyu Wang, Hao Luo, Pichao Wang, Feng Ding, Fan Wang, Hao Li
Although Vision transformers (ViTs) have recently dominated many vision tasks, deploying ViT models on resource-limited devices remains a challenging problem.
no code implementations • 7 Sep 2022 • Qiang Zhou, Chaohui Yu, Hao Luo, Zhibin Wang, Hao Li
Specifically, MimCo takes a pre-trained contrastive learning model as the teacher model and is pre-trained with two types of learning targets: patch-level and image-level reconstruction losses.
no code implementations • 12 Jul 2022 • Xiao Pan, Hao Luo, Weihua Chen, Fan Wang, Hao Li, Wei Jiang, Jianming Zhang, Jianyang Gu, Peike Li
To address this issue, we propose the Ranking-based Backward Compatible Learning (RBCL), which directly optimizes the ranking metric between new features and old features.
3 code implementations • 23 Nov 2021 • Hao Luo, Pichao Wang, Yi Xu, Feng Ding, Yanxin Zhou, Fan Wang, Hao Li, Rong Jin
We first investigate self-supervised learning (SSL) methods with Vision Transformer (ViT) pretrained on unlabelled person images (the LUPerson dataset), and empirically find it significantly surpasses ImageNet supervised pre-training models on ReID tasks.
Ranked #1 on Unsupervised Person Re-Identification on Market-1501 (using extra training data)
no code implementations • 8 Sep 2021 • Pichao Wang, Xue Wang, Hao Luo, Jingkai Zhou, Zhipeng Zhou, Fan Wang, Hao Li, Rong Jin
In this paper, we further investigate this problem and extend the above conclusion: only early convolutions do not help for stable training, but the scaled ReLU operation in the \textit{convolutional stem} (\textit{conv-stem}) matters.
1 code implementation • 20 May 2021 • Hao Luo, Weihua Chen, Xianzhe Xu, Jianyang Gu, Yuqi Zhang, Chong Liu, Yiqi Jiang, Shuting He, Fan Wang, Hao Li
We mainly focus on four points, i. e. training data, unsupervised domain-adaptive (UDA) training, post-processing, model ensembling in this challenge.
1 code implementation • 14 May 2021 • Chong Liu, Yuqi Zhang, Hao Luo, Jiasheng Tang, Weihua Chen, Xianzhe Xu, Fan Wang, Hao Li, Yi-Dong Shen
Multi-Target Multi-Camera Tracking has a wide range of applications and is the basis for many advanced inferences and predictions.
no code implementations • 11 Mar 2021 • Hao Luo
We introduce a novel primal-dual flow for affine constrained convex optimization problems.
Optimization and Control 37M99, 37N40, 65K05, 90C25
no code implementations • 11 Mar 2021 • Hao Luo
This paper introduces a second-order differential inclusion for unconstrained convex optimization.
Optimization and Control 37M15, 34E10, 90C25
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
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.
no code implementations • 21 Aug 2020 • Hao Luo, Li Liu
A key challenge of oversampling in imbalanced classification is that the generation of new minority samples often neglects the usage of majority classes, resulting in most new minority sampling spreading the whole minority space.
no code implementations • 14 Aug 2020 • Wensheng Cheng, Hao Luo, Wen Yang, Lei Yu, Wei Li
We then propose a structure-aware network for lane marker extraction in DVS images.
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 • 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.
1 code implementation • 22 Jan 2020 • Wen-Chin Huang, Hao Luo, Hsin-Te Hwang, Chen-Chou Lo, Yu-Huai Peng, Yu Tsao, Hsin-Min Wang
In this paper, we extend the CDVAE-VC framework by incorporating the concept of adversarial learning, in order to further increase the degree of disentanglement, thereby improving the quality and similarity of converted speech.
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.
no code implementations • 11 Jul 2019 • Hao Luo, Lichao Huang, Han Shen, Yuan Li, Chang Huang, Xinggang Wang
Without any bells and whistles, our method obtains 80. 3\% mAP on the ImageNet VID dataset, which is superior over the previous state-of-the-arts.
3 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 #45 on Person Re-Identification on DukeMTMC-reID
9 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 • 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.
no code implementations • 13 Nov 2018 • Hao Luo, Wenxuan Xie, Xinggang Wang, Wen-Jun Zeng
Trackers are in general more efficient than detectors but bear the risk of drifting.
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.
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.
15 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
1 code implementation • 2 Oct 2017 • Qiqi Xiao, Hao Luo, Chi Zhang
Person re-identification (ReID) is an important task in computer vision.