Publications (108)
Face Hallucination by Attentive Sequence Optimization with Reinforcement Learning
Yukai Shi, Guanbin Li, Qingxing Cao +2
Human Pose Estimation from Depth Images via Inference Embedded Multi-task Learning
Keze Wang, Shengfu Zhai, Hui Cheng +2
Incorporating Structural Alternatives and Sharing into Hierarchy for Multiclass Object Recognition and Detection
Xiaolong Wang, Liang Lin, Lichao Huang +1
Interpretable Structure-Evolving LSTM
Xiaodan Liang, Liang Lin, Xiaohui Shen +3
PIRM Challenge on Perceptual Image Enhancement on Smartphones: Report
Andrey Ignatov, Radu Timofte, Thang Van Vu +45
Deep Co-Space: Sample Mining Across Feature Transformation for Semi-Supervised Learning
Ziliang Chen, Keze Wang, Xiao Wang +3
DISC: Deep Image Saliency Computing via Progressive Representation Learning
Tianshui Chen, Liang Lin, Lingbo Liu +2
Reversible Recursive Instance-level Object Segmentation
Xiaodan Liang, Yunchao Wei, Xiaohui Shen +4
Towards Human-Machine Cooperation: Self-supervised Sample Mining for Object Detection
Keze Wang, Xiaopeng Yan, Dongyu Zhang +2
Adaptive Scene Category Discovery with Generative Learning and Compositional Sampling
Liang Lin, Ruimao Zhang, Xiaohua Duan
Recurrent Attentional Reinforcement Learning for Multi-label Image Recognition
Tianshui Chen, Zhouxia Wang, Guanbin Li +1
Local- and Holistic- Structure Preserving Image Super Resolution via Deep Joint Component Learning
Yukai Shi, Keze Wang, Li Xu +1
DARI: Distance metric And Representation Integration for Person Verification
Guangrun Wang, Liang Lin, Shengyong Ding +2
Data-Driven Scene Understanding with Adaptively Retrieved Exemplars
Xionghao Liu, Wei Yang, Liang Lin +3
Unconstrained Facial Landmark Localization with Backbone-Branches Fully-Convolutional Networks
Zhujin Liang, Shengyong Ding, Liang Lin
F-SVM: Combination of Feature Transformation and SVM Learning via Convex Relaxation
Xiaohe Wu, Wangmeng Zuo, Yuanyuan Zhu +1
Deep Boosting: Layered Feature Mining for General Image Classification
Zhanglin Peng, Liang Lin, Ruimao Zhang +1
Multi-level Wavelet-CNN for Image Restoration
Pengju Liu, Hongzhi Zhang, Kai Zhang +2
Deep Cocktail Network: Multi-source Unsupervised Domain Adaptation with Category Shift
Ruijia Xu, Ziliang Chen, Wangmeng Zuo +2
Knowledge-Embedded Representation Learning for Fine-Grained Image Recognition
Tianshui Chen, Liang Lin, Riquan Chen +2
Crafting a Toolchain for Image Restoration by Deep Reinforcement Learning
Ke Yu, Chao Dong, Liang Lin +1
Batch Kalman Normalization: Towards Training Deep Neural Networks with Micro-Batches
Guangrun Wang, Jiefeng Peng, Ping Luo +2
Learning to Segment Human by Watching YouTube
Xiaodan Liang, Yunchao Wei, Liang Lin +4
Crowd Counting using Deep Recurrent Spatial-Aware Network
Lingbo Liu, Hongjun Wang, Guanbin Li +2
Deep Human Parsing with Active Template Regression
Xiaodan Liang, Si Liu, Xiaohui Shen +5
NADPEx: An on-policy temporally consistent exploration method for deep reinforcement learning
Sirui Xie, Junning Huang, Lanxin Lei +4
Instance-level Human Parsing via Part Grouping Network
Ke Gong, Xiaodan Liang, Yicheng Li +3
Learning Latent Spatio-Temporal Compositional Model for Human Action Recognition
Xiaodan Liang, Liang Lin, Liangliang Cao
Instance-Level Salient Object Segmentation
Guanbin Li, Yuan Xie, Liang Lin +1
Computational Baby Learning
Xiaodan Liang, Si Liu, Yunchao Wei +3
Joint Detection and Identification Feature Learning for Person Search
Tong Xiao, Shuang Li, Bochao Wang +2
End-to-End Photo-Sketch Generation via Fully Convolutional Representation Learning
Liliang Zhang, Liang Lin, Xian Wu +2
Attentive Crowd Flow Machines
Lingbo Liu, Ruimao Zhang, Jiefeng Peng +3
Multi-label Image Recognition by Recurrently Discovering Attentional Regions
Zhouxia Wang, Tianshui Chen, Guanbin Li +2
Learning Contour-Fragment-based Shape Model with And-Or Tree Representation
Liang Lin, Xiaolong Wang, Wei Yang +1
Progressively Diffused Networks for Semantic Image Segmentation
Ruimao Zhang, Wei Yang, Zhanglin Peng +2
Zoom and Learn: Generalizing Deep Stereo Matching to Novel Domains
Jiahao Pang, Wenxiu Sun, Chengxi Yang +4
Look into Person: Self-supervised Structure-sensitive Learning and A New Benchmark for Human Parsing
Ke Gong, Xiaodan Liang, Dongyu Zhang +2
Deep Feature Learning with Relative Distance Comparison for Person Re-identification
Shengyong Ding, Liang Lin, Guangrun Wang +1
Visual Question Reasoning on General Dependency Tree
Qingxing Cao, Xiaodan Liang, Bailing Li +2
3D Human Pose Machines with Self-supervised Learning
Keze Wang, Liang Lin, Chenhan Jiang +2
Bit-Scalable Deep Hashing with Regularized Similarity Learning for Image Retrieval and Person Re-identification
Ruimao Zhang, Liang Lin, Rui Zhang +2
Iterated Support Vector Machines for Distance Metric Learning
Wangmeng Zuo, Faqiang Wang, David Zhang +4
Graphonomy: Universal Human Parsing via Graph Transfer Learning
Ke Gong, Yiming Gao, Xiaodan Liang +3
Weakly-Supervised Discovery of Geometry-Aware Representation for 3D Human Pose Estimation
Xipeng Chen, Kwan-Yee Lin, Wentao Liu +3
A Deep Structured Model with Radius-Margin Bound for 3D Human Activity Recognition
Liang Lin, Keze Wang, Wangmeng Zuo +3
Cost-Effective Active Learning for Deep Image Classification
Keze Wang, Dongyu Zhang, Ya Li +2
Learning Deep Representations for Semantic Image Parsing: a Comprehensive Overview
Lili Huang, Jiefeng Peng, Ruimao Zhang +2
Recognizing Focal Liver Lesions in Contrast-Enhanced Ultrasound with Discriminatively Trained Spatio-Temporal Model
Xiaodan Liang, Qingxing Cao, Rui Huang +1
Deep Reasoning with Knowledge Graph for Social Relationship Understanding
Zhouxia Wang, Tianshui Chen, Jimmy Ren +3
Proposal-free Network for Instance-level Object Segmentation
Xiaodan Liang, Yunchao Wei, Xiaohui Shen +3
Clothing Co-Parsing by Joint Image Segmentation and Labeling
Wei Yang, Ping Luo, Liang Lin
Hybrid Knowledge Routed Modules for Large-scale Object Detection
Chenhan Jiang, Hang Xu, Xiangdan Liang +1
Content-Adaptive Sketch Portrait Generation by Decompositional Representation Learning
Dongyu Zhang, Liang Lin, Tianshui Chen +3
Active Self-Paced Learning for Cost-Effective and Progressive Face Identification
Liang Lin, Keze Wang, Deyu Meng +2
Facial Landmark Machines: A Backbone-Branches Architecture with Progressive Representation Learning
Lingbo Liu, Guanbin Li, Yuan Xie +3
Neural Task Planning with And-Or Graph Representations
Tianshui Chen, Riquan Chen, Lin Nie +3
Is Faster R-CNN Doing Well for Pedestrian Detection?
Liliang Zhang, Liang Lin, Xiaodan Liang +1
Non-locally Enhanced Encoder-Decoder Network for Single Image De-raining
Guanbin Li, Xiang He, Wei Zhang +3
Human Re-identification by Matching Compositional Template with Cluster Sampling
Yuanlu Xu, Liang Lin, Wei-Shi Zheng +1
Learning to Segment Object Candidates via Recursive Neural Networks
Tianshui Chen, Liang Lin, Xian Wu +2
Contextualized Spatial-Temporal Network for Taxi Origin-Destination Demand Prediction
Lingbo Liu, Zhilin Qiu, Guanbin Li +3
Adaptively Connected Neural Networks
Guangrun Wang, Keze Wang, Liang Lin
Fine-Grained Representation Learning and Recognition by Exploiting Hierarchical Semantic Embedding
Tianshui Chen, Wenxi Wu, Yuefang Gao +3
Learning a Wavelet-like Auto-Encoder to Accelerate Deep Neural Networks
Tianshui Chen, Liang Lin, Wangmeng Zuo +2
Semantic Object Parsing with Graph LSTM
Xiaodan Liang, Xiaohui Shen, Jiashi Feng +2
Character Proposal Network for Robust Text Extraction
Shuye Zhang, Mude Lin, Tianshui Chen +2
Adaptive Temporal Encoding Network for Video Instance-level Human Parsing
Qixian Zhou, Xiaodan Liang, Ke Gong +1
DRPose3D: Depth Ranking in 3D Human Pose Estimation
Min Wang, Xipeng Chen, Wentao Liu +3
Learning Support Correlation Filters for Visual Tracking
Wangmeng Zuo, Xiaohe Wu, Liang Lin +2
Learning Warped Guidance for Blind Face Restoration
Xiaoming Li, Ming Liu, Yuting Ye +3
FRAME Revisited: An Interpretation View Based on Particle Evolution
Xu Cai, Yang Wu, Guanbin Li +2
LSTM Pose Machines
Yue Luo, Jimmy Ren, Zhouxia Wang +5
Cross-Domain Visual Matching via Generalized Similarity Measure and Feature Learning
Liang Lin, Guangrun Wang, Wangmeng Zuo +2
Recurrent 3D Pose Sequence Machines
Mude Lin, Liang Lin, Xiaodan Liang +2
Weakly Supervised Salient Object Detection Using Image Labels
Guanbin Li, Yuan Xie, Liang Lin
An Expressive Deep Model for Human Action Parsing from A Single Image
Zhujin Liang, Xiaolong Wang, Rui Huang +1
Attention-Aware Face Hallucination via Deep Reinforcement Learning
Qingxing Cao, Liang Lin, Yukai Shi +2
LSTM-CF: Unifying Context Modeling and Fusion with LSTMs for RGB-D Scene Labeling
Zhen Li, Yukang Gan, Xiaodan Liang +3
Structured Inhomogeneous Density Map Learning for Crowd Counting
Hanhui Li, Xiangjian He, Hefeng Wu +4
Correntropy Induced L2 Graph for Robust Subspace Clustering
Canyi Lu, Jinhui Tang, Min Lin +3
Toward Characteristic-Preserving Image-based Virtual Try-On Network
Bochao Wang, Huabin Zheng, Xiaodan Liang +3
Integrating Graph Partitioning and Matching for Trajectory Analysis in Video Surveillance
Liang Lin, Yongyi Lu, Yan Pan +1
PISA: Pixelwise Image Saliency by Aggregating Complementary Appearance Contrast Measures with Edge-Preserving Coherence
Keze Wang, Liang Lin, Jiangbo Lu +2
Towards a solid solution of real-time fire and flame detection
Bo Jiang, Yongyi Lu, Xiying Li +1
Semantic Relationships Guided Representation Learning for Facial Action Unit Recognition
Guanbin Li, Xin Zhu, Yirui Zeng +2
Single View Stereo Matching
Yue Luo, Jimmy Ren, Mude Lin +4
Matching-CNN Meets KNN: Quasi-Parametric Human Parsing
Si Liu, Xiaodan Liang, Luoqi Liu +6
Deep Joint Task Learning for Generic Object Extraction
Xiaolong Wang, Liliang Zhang, Liang Lin +2
Semantic Object Parsing with Local-Global Long Short-Term Memory
Xiaodan Liang, Xiaohui Shen, Donglai Xiang +3
Cross-Modal Attentional Context Learning for RGB-D Object Detection
Guanbin Li, Yukang Gan, Hejun Wu +2
Unsupervised Image Super-Resolution using Cycle-in-Cycle Generative Adversarial Networks
Yuan Yuan, Siyuan Liu, Jiawei Zhang +3
Knowledge-Embedded Routing Network for Scene Graph Generation
Tianshui Chen, Weihao Yu, Riquan Chen +1
Cost-effective Object Detection: Active Sample Mining with Switchable Selection Criteria
Keze Wang, Liang Lin, Xiaopeng Yan +3
Look into Person: Joint Body Parsing & Pose Estimation Network and A New Benchmark
Xiaodan Liang, Ke Gong, Xiaohui Shen +1
Complex Background Subtraction by Pursuing Dynamic Spatio-Temporal Models
Liang Lin, Yuanlu Xu, Xiaodan Liang +1
Visual Tracking via Dynamic Graph Learning
Chenglong Li, Liang Lin, Wangmeng Zuo +2
Context-Aware Semantic Inpainting
Haofeng Li, Guanbin Li, Liang Lin +1
3D Human Activity Recognition with Reconfigurable Convolutional Neural Networks
Keze Wang, Xiaolong Wang, Liang Lin +2
Knowledge-Guided Recurrent Neural Network Learning for Task-Oriented Action Prediction
Liang Lin, Lili Huang, Tianshui Chen +2