Search Results for author: Wei Feng

Found 94 papers, 29 papers with code

Long-Tailed Learning as Multi-Objective Optimization

no code implementations31 Oct 2023 Weiqi Li, Fan Lyu, Fanhua Shang, Liang Wan, Wei Feng

Real-world data is extremely imbalanced and presents a long-tailed distribution, resulting in models that are biased towards classes with sufficient samples and perform poorly on rare classes.

Towards Novel Class Discovery: A Study in Novel Skin Lesions Clustering

no code implementations28 Sep 2023 Wei Feng, Lie Ju, Lin Wang, Kaimin Song, ZongYuan Ge

We conducted extensive experiments on the dermatology dataset ISIC 2019, and the experimental results show that our approach can effectively leverage knowledge from known categories to discover new semantic categories.

Clustering Contrastive Learning +2

Adaptive Fusion of Radiomics and Deep Features for Lung Adenocarcinoma Subtype Recognition

no code implementations27 Aug 2023 Jing Zhou, Xiaotong Fu, Xirong Li, Wei Feng, Zhang Zhang, Ying Ji

The most common type of lung cancer, lung adenocarcinoma (LUAD), has been increasingly detected since the advent of low-dose computed tomography screening technology.

Improving the Transferability of Adversarial Examples with Arbitrary Style Transfer

1 code implementation21 Aug 2023 Zhijin Ge, Fanhua Shang, Hongying Liu, Yuanyuan Liu, Liang Wan, Wei Feng, Xiaosen Wang

Deep neural networks are vulnerable to adversarial examples crafted by applying human-imperceptible perturbations on clean inputs.

Domain Generalization Style Transfer

Decarbonization patterns of residential building operations in China and India

no code implementations24 Jun 2023 Ran Yan, Nan Zhou, Wei Feng, Minda Ma, Xiwang Xiang, Chao Mao

(2) Building electrification played a significant role in decarbonizing space cooling (-87. 7 in China and -130. 2 kilograms of carbon dioxide (kgCO2) per household in India) and appliances (-169. 7 in China and -43. 4 kgCO2 per household in India).

Relation-Aware Diffusion Model for Controllable Poster Layout Generation

1 code implementation15 Jun 2023 Fengheng Li, An Liu, Wei Feng, Honghe Zhu, Yaoyu Li, Zheng Zhang, Jingjing Lv, Xin Zhu, Junjie Shen, Zhangang Lin, Jingping Shao

To advance research in this field, we have constructed a poster layout dataset named CGL-Dataset V2.

Learning Restoration is Not Enough: Transfering Identical Mapping for Single-Image Shadow Removal

no code implementations18 May 2023 Xiaoguang Li, Qing Guo, Pingping Cai, Wei Feng, Ivor Tsang, Song Wang

State-of-the-art shadow removal methods train deep neural networks on collected shadow & shadow-free image pairs, which are desired to complete two distinct tasks via shared weights, i. e., data restoration for shadow regions and identical mapping for non-shadow regions.

Image Shadow Removal Shadow Removal

ESimCSE Unsupervised Contrastive Learning Jointly with UDA Semi-Supervised Learning for Large Label System Text Classification Mode

no code implementations19 Apr 2023 Ruan Lu, Zhou HangCheng, Ran Meng, Zhao Jin, Qin JiaoYu, Wei Feng, Wang ChenZi

The challenges faced by text classification with large tag systems in natural language processing tasks include multiple tag systems, uneven data distribution, and high noise.

Contrastive Learning TAG +2

Towards Open-Scenario Semi-supervised Medical Image Classification

no code implementations8 Apr 2023 Lie Ju, Yicheng Wu, Wei Feng, Zhen Yu, Lin Wang, Zhuoting Zhu, ZongYuan Ge

Therefore, in this paper, we proposed a unified framework to leverage these unseen unlabeled data for open-scenario semi-supervised medical image classification.

Domain Adaptation Image Classification +1

MMFormer: Multimodal Transformer Using Multiscale Self-Attention for Remote Sensing Image Classification

no code implementations23 Mar 2023 Bo Zhang, Zuheng Ming, Wei Feng, Yaqian Liu, Liang He, Kaixing Zhao

To benefit the complementary information between heterogeneous data, we introduce a new Multimodal Transformer (MMFormer) for Remote Sensing (RS) image classification using Hyperspectral Image (HSI) accompanied by another source of data such as Light Detection and Ranging (LiDAR).

Image Classification Remote Sensing Image Classification

Leveraging Inpainting for Single-Image Shadow Removal

1 code implementation ICCV 2023 Xiaoguang Li, Qing Guo, Rabab Abdelfattah, Di Lin, Wei Feng, Ivor Tsang, Song Wang

In this work, we find that pretraining shadow removal networks on the image inpainting dataset can reduce the shadow remnants significantly: a naive encoder-decoder network gets competitive restoration quality w. r. t.

Image Inpainting Image Shadow Removal +1

Structure-Informed Shadow Removal Networks

no code implementations9 Jan 2023 Yuhao Liu, Qing Guo, Lan Fu, Zhanghan Ke, Ke Xu, Wei Feng, Ivor W. Tsang, Rynson W. H. Lau

Extensive experiments on three shadow removal benchmarks demonstrate that our method outperforms existing shadow removal methods, and our StructNet can be integrated with existing methods to boost their performances further.

Shadow Removal

Measuring Asymmetric Gradient Discrepancy in Parallel Continual Learning

no code implementations ICCV 2023 Fan Lyu, Qing Sun, Fanhua Shang, Liang Wan, Wei Feng

In Parallel Continual Learning (PCL), the parallel multiple tasks start and end training unpredictably, thus suffering from training conflict and catastrophic forgetting issues.

Continual Learning

From a Bird's Eye View to See: Joint Camera and Subject Registration without the Camera Calibration

no code implementations19 Dec 2022 Zekun Qian, Ruize Han, Wei Feng, Feifan Wang, Song Wang

We tackle a new problem of multi-view camera and subject registration in the bird's eye view (BEV) without pre-given camera calibration.

Camera Calibration Camera Localization

CBNet: A Plug-and-Play Network for Segmentation-based Scene Text Detection

no code implementations5 Dec 2022 Xi Zhao, Wei Feng, Zheng Zhang, Jingjing Lv, Xin Zhu, Zhangang Lin, Jinghe Hu, Jingping Shao

Recently, segmentation-based methods are quite popular in scene text detection, which mainly contain two steps: text kernel segmentation and expansion.

Scene Text Detection Segmentation +1

Self-Emphasizing Network for Continuous Sign Language Recognition

2 code implementations30 Nov 2022 Lianyu Hu, Liqing Gao, Zekang Liu, Wei Feng

To relieve this problem, we propose a self-emphasizing network (SEN) to emphasize informative spatial regions in a self-motivated way, with few extra computations and without additional expensive supervision.

Pose Estimation Sign Language Recognition

Multi-Label Continual Learning using Augmented Graph Convolutional Network

no code implementations27 Nov 2022 Kaile Du, Fan Lyu, Linyan Li, Fuyuan Hu, Wei Feng, Fenglei Xu, Xuefeng Xi, Hanjing Cheng

In contrast, the inter-task relationships leverage hard and soft labels from data and a constructed expert network.

Continual Learning

From Indoor To Outdoor: Unsupervised Domain Adaptive Gait Recognition

no code implementations21 Nov 2022 Likai Wang, Ruize Han, Wei Feng, Song Wang

In this paper, we study a new problem of unsupervised domain adaptive gait recognition (UDA-GR), that learns a gait identifier with supervised labels from the indoor scenes (source domain), and is applied to the outdoor wild scenes (target domain).

Gait Recognition

A Benchmark of Video-Based Clothes-Changing Person Re-Identification

no code implementations21 Nov 2022 Likai Wang, Xiangqun Zhang, Ruize Han, Jialin Yang, Xiaoyu Li, Wei Feng, Song Wang

In this paper, we focus on the relatively new yet practical problem of clothes-changing video-based person re-identification (CCVReID), which is less studied.

Clothes Changing Person Re-Identification Re-Ranking +1

Truthful Transaction Protocol for E-Commerce Networks Based on Double Auction

no code implementations IEEE Transactions on Network Science and Engineering 2022 Jiachen Sun, Ning Ge, Xu Chen, Wei Feng, Jianhua Lu

This screening algorithm is customer-oriented and offers personalized commodities by preventing unqualified sellers from participating in the transaction.

3D Matting: A Benchmark Study on Soft Segmentation Method for Pulmonary Nodules Applied in Computed Tomography

no code implementations11 Oct 2022 Lin Wang, Xiufen Ye, Donghao Zhang, Wanji He, Lie Ju, Yi Luo, Huan Luo, Xin Wang, Wei Feng, Kaimin Song, Xin Zhao, ZongYuan Ge

In this work, we introduce the image matting into the 3D scenes and use the alpha matte, i. e., a soft mask, to describe lesions in a 3D medical image.

Binarization Image Matting

Exploring Example Influence in Continual Learning

1 code implementation25 Sep 2022 Qing Sun, Fan Lyu, Fanhua Shang, Wei Feng, Liang Wan

Continual Learning (CL) sequentially learns new tasks like human beings, with the goal to achieve better Stability (S, remembering past tasks) and Plasticity (P, adapting to new tasks).

Continual Learning

View-Invariant Skeleton-based Action Recognition via Global-Local Contrastive Learning

no code implementations23 Sep 2022 Cunling Bian, Wei Feng, Fanbo Meng, Song Wang

Skeleton-based human action recognition has been drawing more interest recently due to its low sensitivity to appearance changes and the accessibility of more skeleton data.

Action Recognition Contrastive Learning +3

3D Matting: A Soft Segmentation Method Applied in Computed Tomography

no code implementations16 Sep 2022 Lin Wang, Xiufen Ye, Donghao Zhang, Wanji He, Lie Ju, Xin Wang, Wei Feng, Kaimin Song, Xin Zhao, ZongYuan Ge

It can be caused by many factors, such as the imaging properties, pathological anatomy, and the weak representation of the binary masks, which brings challenges to accurate 3D segmentation.

Anatomy Image Matting

Control-Oriented Power Allocation for Integrated Satellite-UAV Networks

no code implementations31 Aug 2022 Chengleyang Lei, Wei Feng, Jue Wang, Shi Jin, Ning Ge

This letter presents a sensing-communication-computing-control (SC3) integrated satellite unmanned aerial vehicle (UAV) network, where the UAV is equipped with on-board sensors, mobile edge computing (MEC) servers, base stations and satellite communication module.


Spatial Temporal Graph Attention Network for Skeleton-Based Action Recognition

1 code implementation18 Aug 2022 Lianyu Hu, Shenglan Liu, Wei Feng

In such conditions, short-term dependencies are few formally considered, which are critical for classifying similar actions.

Action Recognition Graph Attention +1

Integrating Satellites and Mobile Edge Computing for 6G Wide-Area Edge Intelligence: Minimal Structures and Systematic Thinking

no code implementations16 Aug 2022 Yueshan Lin, Wei Feng, Ting Zhou, Yanmin Wang, Yunfei Chen, Ning Ge, Cheng-Xiang Wang

The sixth-generation (6G) network will shift its focus to supporting everything including various machine-type devices (MTDs) in an everyone-centric manner.

Edge-computing Management

Temporal Lift Pooling for Continuous Sign Language Recognition

1 code implementation18 Jul 2022 Lianyu Hu, Liqing Gao, Zekang Liu, Wei Feng

In this paper, we derive temporal lift pooling (TLP) from the Lifting Scheme in signal processing to intelligently downsample features of different temporal hierarchies.

Sign Language Recognition

Unsupervised Domain Adaptive Fundus Image Segmentation with Category-level Regularization

1 code implementation8 Jul 2022 Wei Feng, Lin Wang, Lie Ju, Xin Zhao, Xin Wang, Xiaoyu Shi, ZongYuan Ge

Existing unsupervised domain adaptation methods based on adversarial learning have achieved good performance in several medical imaging tasks.

Image Segmentation Semantic Segmentation +1

Joint Communication and Sensing: Models and Potential of Using MIMO

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

In this survey, we discuss joint communication and sensing (JCAS) in the context of MIMO.

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

1 code implementation8 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

1 code implementation8 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, Wei Feng

Gait recognition, a long-distance biometric technology, has aroused intense interest recently.

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 +1

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 +1

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 regression

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.

Benchmarking Blocking +2

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 Qian Zhang, Qing Guo, Ruijun Gao, Felix Juefei-Xu, Hongkai Yu, Wei Feng

To this end, we first propose the physical modelbased adversarial relighting attack (ARA) denoted as albedoquotient-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 Segmentation +1

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.

Text Detection

Sparta: Spatially Attentive and Adversarially Robust Activation

no code implementations18 May 2021 Qing Guo, Felix Juefei-Xu, Changqing Zhou, Wei Feng, Yang Liu, Song Wang

In both cases, Sparta leads to CNNs with higher robustness than the vanilla ReLU, verifying the flexibility and versatility of the proposed method.

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

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.


Auto-Exposure Fusion for Single-Image Shadow Removal

2 code implementations 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

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.

Text Detection Weakly-supervised Learning

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

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

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 Navigate

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

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 +1

Learning Guided Convolutional Network for Depth Completion

2 code implementations3 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.

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.

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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