Search Results for author: Wei Feng

Found 58 papers, 16 papers with code

Joint Communication and Sensing: Models and Potentials of Using MIMO

no code implementations19 May 2022 Xinran Fang, Wei Feng, Yunfei Chen, Ning Ge, Yan Zhang

How to efficiently apply MIMO in the joint communication and sensing (JCAS) system is still open.

Single Object Tracking Research: A Survey

no code implementations25 Apr 2022 Ruize Han, Wei Feng, Qing Guo, QinGhua Hu

Visual object tracking is an important task in computer vision, which has many real-world applications, e. g., video surveillance, visual navigation.

object-detection Video Object Detection +3

Illumination-Invariant Active Camera Relocalization for Fine-Grained Change Detection in the Wild

no code implementations13 Apr 2022 Nan Li, Wei Feng, Qian Zhang

Active camera relocalization (ACR) is a new problem in computer vision that significantly reduces the false alarm caused by image distortions due to camera pose misalignment in fine-grained change detection (FGCD).

Camera Relocalization Change Detection +1

AGCN: Augmented Graph Convolutional Network for Lifelong Multi-label Image Recognition

1 code implementation10 Mar 2022 Kaile Du, Fan Lyu, Fuyuan Hu, Linyan Li, Wei Feng, Fenglei Xu, Qiming Fu

The key challenges of LML image recognition are the construction of label relationships on Partial Labels of training data and the Catastrophic Forgetting on old classes, resulting in poor generalization.

Panoramic Human Activity Recognition

no code implementations8 Mar 2022 Ruize Han, Haomin Yan, Jiacheng Li, Songmiao Wang, Wei Feng, Song Wang

To obtain a more comprehensive activity understanding for a crowded scene, in this paper, we propose a new problem of panoramic human activity recognition (PAR), which aims to simultaneous achieve the individual action, social group activity, and global activity recognition.

Human Activity Recognition

Self-supervised Social Relation Representation for Human Group Detection

no code implementations8 Mar 2022 Jiacheng Li, Ruize Han, Haomin Yan, Zekun Qian, Wei Feng, Song Wang

The core of human group detection is the human social relation representation and division. In this paper, we propose a new two-stage multi-head framework for human group detection.

Combining the Silhouette and Skeleton Data for Gait Recognition

no code implementations22 Feb 2022 Likai Wang, Ruize Han, Jinyan Chen, Wei Feng

In addition, two new modules are proposed in the GCN-based branch for better gait representation.

Gait Recognition Pose Estimation

Reinforcement Learning-Empowered Mobile Edge Computing for 6G Edge Intelligence

no code implementations27 Jan 2022 Peng Wei, Kun Guo, Ye Li, Jue Wang, Wei Feng, Shi Jin, Ning Ge, Ying-Chang Liang

Mobile edge computing (MEC) is considered a novel paradigm for computation-intensive and delay-sensitive tasks in fifth generation (5G) networks and beyond.

Edge-computing reinforcement-learning

Uncertainty-Aware Cascaded Dilation Filtering for High-Efficiency Deraining

1 code implementation7 Jan 2022 Qing Guo, Jingyang Sun, Felix Juefei-Xu, Lei Ma, Di Lin, Wei Feng, Song Wang

First, we propose the uncertainty-aware cascaded predictive filtering (UC-PFilt) that can identify the difficulties of reconstructing clean pixels via predicted kernels and remove the residual rain traces effectively.

Data Augmentation Single Image Deraining

Connecting the Complementary-View Videos: Joint Camera Identification and Subject Association

1 code implementation CVPR 2022 Ruize Han, Yiyang Gan, Jiacheng Li, Feifan Wang, Wei Feng, Song Wang

In this paper, we develop a new approach that can simultaneously handle three tasks: i) localizing the side-view camera in the top view; ii) estimating the view direction of the side-view camera; iii) detecting and associating the same subjects on the ground across the complementary views.

Regularized Modal Regression on Markov-dependent Observations: A Theoretical Assessment

no code implementations9 Dec 2021 Tielang Gong, Yuxin Dong, Hong Chen, Bo Dong, Wei Feng, Chen Li

Our results show that the Markov dependence impacts on the generalization error in the way that sample size would be discounted by a multiplicative factor depending on the spectral gap of underlying Markov chain.

Learning Theory

Benchmarking Shadow Removal for Facial Landmark Detection and Beyond

no code implementations27 Nov 2021 Lan Fu, Qing Guo, Felix Juefei-Xu, Hongkai Yu, Wei Feng, Yang Liu, Song Wang

The observation of this work motivates us to design a novel detection-aware shadow removal framework, which empowers shadow removal to achieve higher restoration quality and enhance the shadow robustness of deployed facial landmark detectors.

Facial Landmark Detection Shadow Removal

Rethinking Rehearsal in Lifelong Learning: Does An Example Contribute the Plasticity or Stability?

no code implementations29 Sep 2021 Qing Sun, Fan Lyu, Fanhua Shang, Wei Feng, Liang Wan

Traditionally, the primary goal of LL is to achieve the trade-off between the Stability (remembering past tasks) and Plasticity (adapting to new tasks).

Multi-Task Learning

Adversarial Relighting against Face Recognition

no code implementations18 Aug 2021 Ruijun Gao, Qing Guo, Qian Zhang, Felix Juefei-Xu, Hongkai Yu, Wei Feng

To this end, we first propose the physical model-based adversarial relighting attack (ARA) denoted as albedo-quotient-based adversarial relighting attack (AQ-ARA).

Adversarial Attack Face Recognition

From Synthetic to Real: Image Dehazing Collaborating with Unlabeled Real Data

1 code implementation6 Aug 2021 Ye Liu, Lei Zhu, Shunda Pei, Huazhu Fu, Jing Qin, Qing Zhang, Liang Wan, Wei Feng

Our DID-Net predicts the three component maps by progressively integrating features across scales, and refines each map by passing an independent refinement network.

Image Dehazing Single Image Dehazing

Unsupervised Domain Adaptation for Retinal Vessel Segmentation with Adversarial Learning and Transfer Normalization

no code implementations4 Aug 2021 Wei Feng, Lie Ju, Lin Wang, Kaimin Song, Xin Wang, Xin Zhao, Qingyi Tao, ZongYuan Ge

In this work, we explore unsupervised domain adaptation in retinal vessel segmentation by using entropy-based adversarial learning and transfer normalization layer to train a segmentation network, which generalizes well across domains and requires no annotation of the target domain.

Retinal Vessel Segmentation Unsupervised Domain Adaptation

CarveNet: Carving Point-Block for Complex 3D Shape Completion

no code implementations28 Jul 2021 Qing Guo, Zhijie Wang, Felix Juefei-Xu, Di Lin, Lei Ma, Wei Feng, Yang Liu

3D point cloud completion is very challenging because it heavily relies on the accurate understanding of the complex 3D shapes (e. g., high-curvature, concave/convex, and hollowed-out 3D shapes) and the unknown & diverse patterns of the partially available point clouds.

Data Augmentation Point Cloud Completion

Semantic-Aware Video Text Detection

no code implementations CVPR 2021 Wei Feng, Fei Yin, Xu-Yao Zhang, Cheng-Lin Liu

To overcome the lack of character-level annotations, we propose a novel weakly-supervised character center detection module, which only uses word-level annotated real images to generate character-level labels.

AdvHaze: Adversarial Haze Attack

no code implementations28 Apr 2021 Ruijun Gao, Qing Guo, Felix Juefei-Xu, Hongkai Yu, Wei Feng

We also visualize the correlation matrices, which inspire us to jointly apply different perturbations to improve the success rate of the attack.

Adversarial Attack

Auto-Exposure Fusion for Single-Image Shadow Removal

1 code implementation CVPR 2021 Lan Fu, Changqing Zhou, Qing Guo, Felix Juefei-Xu, Hongkai Yu, Wei Feng, Yang Liu, Song Wang

We conduct extensive experiments on the ISTD, ISTD+, and SRD datasets to validate our method's effectiveness and show better performance in shadow regions and comparable performance in non-shadow regions over the state-of-the-art methods.

Image Shadow Removal Shadow Removal

MEC-Empowered Non-Terrestrial Network for 6G Wide-Area Time-Sensitive Internet of Things

no code implementations1 Mar 2021 Chengxiao Liu, Wei Feng, Xiaoming Tao, Ning Ge

Nevertheless, communication and MEC systems are coupled with each other under the influence of complex propagation environment in the MEC-empowered NTN, which makes it hard to orchestrate the resources.


Improving prediction of the terrestrial water storage anomalies during the GRACE and GRACE-FO gap with Bayesian convolutional neural networks

no code implementations21 Jan 2021 Shaoxing Mo, Yulong Zhong, Xiaoqing Shi, Wei Feng, Xin Yin, Jichun Wu

The Gravity Recovery and Climate Experiment (GRACE) satellite and its successor GRACE Follow-On (GRACE-FO) provide valuable and accurate observations of terrestrial water storage anomalies (TWSAs) at a global scale.

Decision Making

Sparta: Spatially Attentive and Adversarially Robust Activations

no code implementations1 Jan 2021 Qing Guo, Felix Juefei-Xu, Changqing Zhou, Lei Ma, Xiaofei Xie, Wei Feng, Yang Liu

Moreover, comprehensive evaluations have demonstrated two important properties of our method: First, superior transferability across DNNs.


Multi-Domain Multi-Task Rehearsal for Lifelong Learning

no code implementations14 Dec 2020 Fan Lyu, Shuai Wang, Wei Feng, Zihan Ye, Fuyuan Hu, Song Wang

Rehearsal, seeking to remind the model by storing old knowledge in lifelong learning, is one of the most effective ways to mitigate catastrophic forgetting, i. e., biased forgetting of previous knowledge when moving to new tasks.

Weakly-Supervised Arbitrary-Shaped Text Detection with Expectation-Maximization Algorithm

no code implementations1 Dec 2020 Mengbiao Zhao, Wei Feng, Fei Yin, Xu-Yao Zhang, Cheng-Lin Liu

We propose an Expectation-Maximization (EM) based weakly-supervised learning framework to train an accurate arbitrary-shaped text detector using only a small amount of polygon-level annotated data combined with a large amount of weakly annotated data.

EfficientDeRain: Learning Pixel-wise Dilation Filtering for High-Efficiency Single-Image Deraining

2 code implementations19 Sep 2020 Qing Guo, Jingyang Sun, Felix Juefei-Xu, Lei Ma, Xiaofei Xie, Wei Feng, Yang Liu

To fill this gap, in this paper, we regard the single-image deraining as a general image-enhancing problem and originally propose a model-free deraining method, i. e., EfficientDeRain, which is able to process a rainy image within 10~ms (i. e., around 6~ms on average), over 80 times faster than the state-of-the-art method (i. e., RCDNet), while achieving similar de-rain effects.

Data Augmentation Single Image Deraining

Adversarial Rain Attack and Defensive Deraining for DNN Perception

no code implementations19 Sep 2020 Liming Zhai, Felix Juefei-Xu, Qing Guo, Xiaofei Xie, Lei Ma, Wei Feng, Shengchao Qin, Yang Liu

To defend the DNNs from the negative rain effect, we also present a defensive deraining strategy, for which we design an adversarial rain augmentation that uses mixed adversarial rain layers to enhance deraining models for downstream DNN perception.

Adversarial Attack Autonomous Driving +5

Delay Characterization of Mobile Edge Computing for 6G Time-Sensitive Services

no code implementations17 Sep 2020 Jianyu Cao, Wei Feng, Ning Ge, Jianhua Lu

Only a few research efforts have been devoted to other random delay characteristics, such as the delay bound violation probability and the probability distribution of the delay, by decoupling the transmission and computation processes of MEC.


Cell-Free Satellite-UAV Networks for 6G Wide-Area Internet of Things

no code implementations22 Jul 2020 Chengxiao Liu, Wei Feng, Yunfei Chen, Cheng-Xiang Wang, Ning Ge

In fifth generation (5G) and beyond Internet of Things (IoT), it becomes increasingly important to serve a massive number of IoT devices outside the coverage of terrestrial cellular networks.


Pasadena: Perceptually Aware and Stealthy Adversarial Denoise Attack

no code implementations14 Jul 2020 Yupeng Cheng, Qing Guo, Felix Juefei-Xu, Wei Feng, Shang-Wei Lin, Weisi Lin, Yang Liu

To this end, we initiate the very first attempt to study this problem from the perspective of adversarial attack and propose the adversarial denoise attack.

Adversarial Attack Common Sense Reasoning +2

DeepRhythm: Exposing DeepFakes with Attentional Visual Heartbeat Rhythms

no code implementations13 Jun 2020 Hua Qi, Qing Guo, Felix Juefei-Xu, Xiaofei Xie, Lei Ma, Wei Feng, Yang Liu, Jianjun Zhao

As the GAN-based face image and video generation techniques, widely known as DeepFakes, have become more and more matured and realistic, there comes a pressing and urgent demand for effective DeepFakes detectors.

DeepFake Detection Face Swapping +2

Enabling 5G on the Ocean: A Hybrid Satellite-UAV-Terrestrial Network Solution

no code implementations1 Jun 2020 Xiangling Li, Wei Feng, Jue Wang, Yunfei Chen, Ning Ge, Cheng-Xiang Wang

In this paper, we study the integration of UAVs with existing MCNs, and investigate the potential gains of hybrid satellite-UAV-terrestrial networks for maritime coverage.

Modeling Cross-view Interaction Consistency for Paired Egocentric Interaction Recognition

no code implementations24 Mar 2020 Zhongguo Li, Fan Lyu, Wei Feng, Song Wang

Paired egocentric interaction recognition (PEIR) is the task to collaboratively recognize the interactions between two persons with the videos in their corresponding views.

Action Recognition

MUTATT: Visual-Textual Mutual Guidance for Referring Expression Comprehension

no code implementations18 Mar 2020 Shuai Wang, Fan Lyu, Wei Feng, Song Wang

In this paper, we argue that for REC the referring expression and the target region are semantically correlated and subject, location and relationship consistency exist between vision and language. On top of this, we propose a novel approach called MutAtt to construct mutual guidance between vision and language, which treat vision and language equally thus yield compact information matching.

Referring Expression Referring Expression Comprehension

Active Lighting Recurrence by Parallel Lighting Analogy for Fine-Grained Change Detection

no code implementations22 Feb 2020 Qian Zhang, Wei Feng, Liang Wan, Fei-Peng Tian, Xiaowei Wang, Ping Tan

Besides, we also theoretically prove the invariance of our ALR approach to the ambiguity of normal and lighting decomposition.

Change Detection

Trend and forecasting of the COVID-19 outbreak in China

1 code implementation14 Feb 2020 Qiang Li, Wei Feng

By using the public data from Jan. 20 to Feb. 11, 2020, we perform data-driven analysis and forecasting on the COVID-19 epidemic in mainland China, especially Hubei province.

SPARK: Spatial-aware Online Incremental Attack Against Visual Tracking

1 code implementation ECCV 2020 Qing Guo, Xiaofei Xie, Felix Juefei-Xu, Lei Ma, Zhongguo Li, Wanli Xue, Wei Feng, Yang Liu

We identify that online object tracking poses two new challenges: 1) it is difficult to generate imperceptible perturbations that can transfer across frames, and 2) real-time trackers require the attack to satisfy a certain level of efficiency.

Adversarial Attack Video Object Tracking +2

TextDragon: An End-to-End Framework for Arbitrary Shaped Text Spotting

no code implementations ICCV 2019 Wei Feng, Wenhao He, Fei Yin, Xu-Yao Zhang, Cheng-Lin Liu

Motivated from the name of TextSnake, which is only a detection model, we call the proposed text spotting framework TextDragon.

Text Spotting

Effects of Blur and Deblurring to Visual Object Tracking

no code implementations21 Aug 2019 Qing Guo, Wei Feng, Zhihao Chen, Ruijun Gao, Liang Wan, Song Wang

In this paper, we address these two problems by constructing a Blurred Video Tracking benchmark, which contains a variety of videos with different levels of motion blurs, as well as ground truth tracking results for evaluating trackers.

Deblurring Image Deblurring +1

OD-GCN: Object Detection Boosted by Knowledge GCN

no code implementations6 Aug 2019 Zheng Liu, Zidong Jiang, Wei Feng, Hui Feng

Classical CNN based object detection methods only extract the objects' image features, but do not consider the high-level relationship among objects in context.

object-detection Object Detection

Learning Guided Convolutional Network for Depth Completion

1 code implementation3 Aug 2019 Jie Tang, Fei-Peng Tian, Wei Feng, Jian Li, Ping Tan

It is thus necessary to complete the sparse LiDAR data, where a synchronized guidance RGB image is often used to facilitate this completion.

Autonomous Driving Depth Completion +1

Neural Consciousness Flow

1 code implementation30 May 2019 Xiaoran Xu, Wei Feng, Zhiqing Sun, Zhi-Hong Deng

Instead, inspired by the consciousness prior proposed by Yoshua Bengio, we explore reasoning with the notion of attentive awareness from a cognitive perspective, and formulate it in the form of attentive message passing on graphs, called neural consciousness flow (NeuCFlow).

Decision Making Knowledge Base Completion

Modeling Attention Flow on Graphs

no code implementations1 Nov 2018 Xiaoran Xu, Songpeng Zu, Chengliang Gao, Yuan Zhang, Wei Feng

Real-world scenarios demand reasoning about process, more than final outcome prediction, to discover latent causal chains and better understand complex systems.

Backprop-Q: Generalized Backpropagation for Stochastic Computation Graphs

1 code implementation25 Jul 2018 Xiaoran Xu, Songpeng Zu, Yuan Zhang, Hanning Zhou, Wei Feng

Then, the SCG can be trained based on these surrogate costs using standard backpropagation.

Object Detection with Mask-based Feature Encoding

no code implementations12 Feb 2018 Xiaochuan Fan, Hao Guo, Kang Zheng, Wei Feng, Song Wang

In particular, we design a Mask Weight Network (MWN) to learn a set of masks and then apply channel-wise masking operations to ROI feature map, followed by a global pooling and a cheap fully-connected layer.

object-detection Object Detection

Learning Dynamic Siamese Network for Visual Object Tracking

no code implementations ICCV 2017 Qing Guo, Wei Feng, Ce Zhou, Rui Huang, Liang Wan, Song Wang

How to effectively learn temporal variation of target appearance, to exclude the interference of cluttered background, while maintaining real-time response, is an essential problem of visual object tracking.

online learning Visual Object Tracking

6D Dynamic Camera Relocalization From Single Reference Image

no code implementations CVPR 2016 Wei Feng, Fei-Peng Tian, Qian Zhang, Jizhou Sun

Based on inexpensive platform with unreliable absolute repositioning accuracy (ARA), we propose a hand-eye calibration free strategy to actively relocate camera into the same 6D pose that produces the input reference image, by sequentially correcting 3D relative rotation and translation.

Camera Relocalization Translation

Fine-Grained Change Detection of Misaligned Scenes With Varied Illuminations

no code implementations ICCV 2015 Wei Feng, Fei-Peng Tian, Qian Zhang, Nan Zhang, Liang Wan, Jizhou Sun

To guarantee detection sensitivity and accuracy of minute changes, in an observation, we capture a group of images under multiple illuminations, which need only to be roughly aligned to the last time lighting conditions.

Change Detection

ESSP: An Efficient Approach to Minimizing Dense and Nonsubmodular Energy Functions

no code implementations19 May 2014 Wei Feng, Jiaya Jia, Zhi-Qiang Liu

From our study, we make some reasonable recommendations of combining existing methods that perform the best in different situations for this challenging problem.

Maximum Cohesive Grid of Superpixels for Fast Object Localization

no code implementations CVPR 2013 Liang Li, Wei Feng, Liang Wan, Jiawan Zhang

For this purpose, we aim at constructing maximum cohesive SP-grid, which is composed of real nodes, i. e. SPs, and dummy nodes that are meaningless in the image with only position-taking function in the grid.

Object Localization Superpixels

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