Preprint

PointSIFT: A SIFT-like Network Module for 3D Point Cloud Semantic Segmentation
Mingyang Jiang, Yiran Wu, Tianqi Zhao, Zelin Zhao, Cewu Lu

A general 3D point cloud representation, outperform PointNet++, PointCNN (about 8%-11% mIoU improvement on different dataset)

[paper][code]

NavigationNet: A Large-scale Interactive Indoor Navigation Dataset
He Huang, Yujing Shen, Jiankai Sun, Cewu Lu

[paper][code]







Publications

Cortical Ensembles Orchestrate Social Competition through Hypothalamic Outputs
Nancy Padilla-Coreano, Kanha Batra, Makenzie Patarino, Zexin Chen, Rachel R. Rock, Ruihan Zhang, Sébastien B. Hausmann, Javier C. Weddington, Reesha Patel, Yu E. Zhang, Hao-Shu Fang, Srishti Mishra, Deryn O. LeDuke, Jasmin Revanna, Hao Li, Matilde Borio, Rachelle Pamintuan, Aneesh Bal, Laurel R. Keyes, Avraham Libster, Romy Wichmann, Fergil Mills, Felix H. Taschbach, Gillian A. Matthews, James P. Curley, Ila R. Fiete, Cewu Lu(Corresponding author), Kay M. Tye(Corresponding author) （one of two corresponding author）

Nature, 2022

[paper]

AKB-48: A Real-World Articulated Object Knowledge Base
Liu liu, Wenqiang Xu, Haoyuan Fu, Sucheng Qian, Qiaojun Yu,Yang han, Cewu Lu

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) ,2022

[paper] [code]

Human Trajectory Prediction with Momentary Observation
Jianhua Sun,Yuxuan Li,Liang Chai,Hao-Shu Fang,Yong-Lu Li, Cewu Lu

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) ,2022

[paper]

OakInk: A Large-scale Knowledge Repository for Understanding Hand-Object Interaction
Lixin Yang, Kailin Li, Xinyu Zhan, Fei Wu , Anran Xu, Liu Liu, Cewu Lu

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) ,2022

[paper] [code]

ArtiBoost: Boosting Articulated 3D Hand-Object Pose Estimation via Online Exploration and Synthesis
Lixin Yang*, Kailin Li*, Xinyu Zhan, Jun Lv, Wenqiang Xu, Jiefeng Li,Cewu Lu (*=equal contribution)

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) ,2022

[paper] [code]

Interactiveness Field of Human-Object Interactions
Xinpeng Liu*,Yong-Lu Li*,Xiaoqian Wu,Yu-Wing Tai,Cewu Lu, Chi-Keung Tang (*=equal contribution)

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) ,2022

[paper]

Learning to Anticipate Future with Dynamic Context Removal
Xinyu Xu, Yonglu Li, Cewu Lu

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) ,2022

[paper]

Canonical Voting: Towards Robust Oriented Bounding Box Detection in 3D Scenes
Yang You, Zelin Ye, Yujing Lou, Chengkun Li, Yong-Lu Li, Lizhuang Ma, Weiming Wang, Cewu Lu

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) ,2022

[paper] [code]

UKPGAN: A General Self-Supervised Keypoint Detector
Yang You, Wenhai Liu, Yanjie Ze, Yong-Lu Li, Weiming Wang, Cewu Lu

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) ,2022

[paper] [code]

CPPF: Towards Robust Category-Level 9D Pose Estimation in the Wild
Yang You, Ruoxi Shi, Weiming Wang, Cewu Lu

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) ,2022

[paper] [code]

Semantic Segmentation by Early Region Proxy
Yifan Zhang,Bo Pang, Cewu Lu

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) ,2022

[paper]

SAGCI-System: Towards Sample-Efficient, Generalizable, Compositional, and Incremental Robot Learning
Jun Lv*, Qiaojun Yu*, Lin Shao*, Wenhai Liu, Wenqiang Xu, Cewu Lu (*Equal contribution)

IEEE International Conference on Robotics and Automation (ICRA) 2022

[paper]

SuctionNet-1Billion: A Large-Scale Benchmark for Suction Grasping
Hanwen Cao, Hao-Shu Fang, Wenhai Liu, Cuwu Lu

IEEE Robotics and Automation Letters(RA-L)

[paper]

HandTailor: Towards High-Precision Monocular 3D Hand Recovery
Jun Lv, Wenqiang Xu, Lixin Yang, Sucheng Qian, Chongzhao Mao, Cewu Lu

British Machine Vision Conference (BMVC) 2021

[paper]

Three Steps to Multimodal Trajectory Prediction: Modality Clustering, Classification and Synthesis
Jianhua Sun, Yuxuan Li, Hao-Shu Fang, Cewu Lu

IEEE International Conference on Computer Vision(ICCV), 2021

[paper]

Graspness Discovery in Clutters for Fast and Accurate Grasp Detection
Chenxi Wang*, Hao-Shu Fang*, Minghao Gou, Hongjie Fang, Jin Gao, Cewu Lu(*=equal contribution)

IEEE International Conference on Computer Vision(ICCV), 2021

Human Pose Regression with Residual Log-likelihood Estimation
Jiefeng Li, Siyuan Bian, Ailing Zeng, Can Wang, Bo Pang, Wentao Liu, Cewu Lu

IEEE International Conference on Computer Vision(ICCV Oral), 2021

[paper] [code]

H2O: A Benchmark for Visual Human-human Object Handover Analysis
Ruolin Ye, Wenqiang Xu, Zhendong Xue, Tutian Tang, Yanfeng Wang, Cewu Lu

IEEE International Conference on Computer Vision(ICCV), 2021

[paper] [code]

CPF: Learning a Contact Potential Field to Model the Hand-object Interaction
Lixin Yang, Xinyu Zhan, Kailin Li, Wenqiang Xu, Jiefeng Li, Cewu Lu

IEEE International Conference on Computer Vision(ICCV), 2021

[paper] [code]

PGT: A Progressive Method for Training Models on Long Videos
Bo Pang, Gao Peng, Yizhuo Li, Cewu Lu

IEEE Conference on Computer Vision and Pattern Recognition (CVPR Oral), 2021

[paper] [code]

HybrIK: A Hybrid Analytical-Neural Inverse Kinematics Solution for 3D Human Pose and Shape Estimation
Jiefeng Li, Chao Xu, Zhicun Chen, Siyuan Bian, Lixin Yang and Cewu Lu

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021

[paper] [code]

Skeleton Merger: an Unsupervised Aligned Keypoint Detector
Ruoxi Shi, Zhengrong Xue, Yang You, Cewu Lu

IEEE Conference on Computer Vision and Pattern Recognition (CVPR Oral), 2021

[paper] [code]

TDAF: Top-Down Attention Framework for Vision Tasks
Bo Pang, Yizhuo Li, Jiefeng Li, Muchen Li, Hanwen Cao, Cewu Lu

AAAI Conference on Artificial Intelligence (AAAI), 2021

[paper]

DIRV: Dense Interaction Region Voting for End-to-End Human-Object Interaction Detection
Hao-Shu Fang, Yichen Xie, Dian Shao, Cewu Lu

35th AAAI Conference on Artificial Intelligence (AAAI), 2021

[paper]

DecAug: Augmenting HOI Detection via Decomposition
Hao-Shu Fang, Yichen Xie, Dian Shao, Yong-Lu Li, Cewu Lu

35th AAAI Conference on Artificial Intelligence (AAAI), 2021

[paper] [code]

HOI Analysis: Integrating and Decomposing Human-Object Interaction
Yong-Lu Li*, Xinpeng Liu*, Xiaoqian Wu, Yizhuo Li, Cewu Lu (*=equal contribution)

Thirty-fourth Conference on Neural Information Processing Systems (NeurIPS), 2020

[paper] [code]

HMOR: Hierarchical Multi-person Ordinal Relations for Monocular Multi-Person 3D Pose Estimation
Jiefeng Li, Can Wang, Wentao Liu, Chen Qian, Cewu Lu

The European Conference on Computer Vision (ECCV Spotlight), 2020

[paper]

Human Correspondence Consensus for 3D Object Semantic Understanding
Yujing Lou*, Yang You*, Chengkun Li*, Zhoujun Cheng, Liangwei Li, Lizhuang Ma, Weiming Wang, Yuwing Tai, Cewu Lu (*=equal contribution)

The European Conference on Computer Vision (ECCV), 2020

[paper]

Asynchronous Interaction Aggregation for Action Detection
Jiajun Tang*, Jin Xia*, Xinzhi Mu, Bo Pang, Cewu Lu(*=equal contribution)

The European Conference on Computer Vision (ECCV), 2020

[paper] [code]

BiHand: Recovering Hand Mesh with Multi-stage Bisected Hourglass Networks
Lixin Yang, Jiasen Li, Wenqiang Xu, Yiqun Diao, Cewu Lu

The British Machine Vision Conference (BMVC) 2020

[paper] [code]

Complex sequential understanding through the awareness of spatial and temporal concepts
Bo Pang, Kaiwen Zha, Hanwen Cao, Jiajun Tang, Minghui Yu, Cewu Lu

Nature Machine Intelligence,2020

[paper]

The General-Purpose Intelligent Agent
Cewu Lu*, Shiquan Wang*(*=equal contribution)

Engineering,2020

[paper]

6-PACK: Category-level 6D Pose Tracker with Anchor-Based Keypoints
Chen Wang, Roberto Martín-Martín, Danfei Xu, Jun Lv, Cewu Lu, Li Fei-Fei, Silvio Savarese, Yuke Zhu

International Conference on Robotics and Automation(ICRA), 2020

[paper] [code][Demo]

Transferable Active Grasping and Real Embodied Dataset
Xiangyu Chen*, Zelin Ye*, Jiankai Sun, Yuda Fan, Fang Hu, Chenxi Wang, Cewu Lu(*=equal contribution)

International Conference on Robotics and Automation(ICRA), 2020

[paper] [code]

GraspNet: A Large-Scale Clustered and Densely Annotated Dataset for Object Grasping
Hao-Shu Fang*, Chenxi Wang*, Minghao Gou, Cewu Lu(*=equal contribution)

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020

[paper][code][Project][Community]

TubeTK: Adopting Tubes to Track Multi-Object in a One-Step Training Model
Bo Pang, Yizhuo Li, Yifan Zhang, Muchen Li, Cewu Lu

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020

Recursive Social Behavior Graph for Trajectory Prediction
Jianhua Sun, Qinhong Jiang, Cewu Lu

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020

[paper]

KeypointNet: A Large-scale 3D Keypoint Dataset Aggregated from Numerous Human Annotations
Yang You, Yujing Lou, Chengkun Li, Zhoujun Cheng, Liangwei Li, Lizhuang Ma, Cewu Lu, Weiming Wang

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020

[paper]

PaStaNet: Toward Human Activity Knowledge Engine
Yong-Lu Li, Liang Xu, Xinpeng Liu, Xijie Huang, Yue Xu, Shiyi Wang, Hao-Shu Fang, Ze Ma, Mingyang Chen, Cewu Lu

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020

[paper] [code][data]

Detailed 2D-3D Joint Representation for Human-Object Interaction
Yong-Lu Li, Xinpeng Liu, Han Lu, Shiyi Wang, Junqi Liu, Jiefeng Li, Cewu Lu

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020

[paper][code]

Symmetry and Group in Attribute-Object Compositions
Yong-Lu Li, Yue Xu, Xiaohan Mao, Cewu Lu

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020

[paper] [code]

Outdoor RGBD Instance Segmentation with Residual Regretting Learning
Zhengtian Xu, Shu Liu, Jianping Shi, Cewu Lu

IEEE Transactions on Image Processing(TIP)

[paper]

PRIN: Pointwise Rotation-Invariant Network
Yang You*, Yujing Lou*, Qi Liu, Lizhuang Ma, Weiming Wang, Yuwing Tai, Cewu Lu

Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI), 2020

[paper][code]

Approximated Bilinear Modules for Temporal Modeling
Xinqi Zhu, Chang Xu, Langwen Hui, Cewu Lu, and Dacheng Tao

IEEE International Conference on Computer Vision (ICCV), 2019

InstaBoost: Boosting Instance Segmentation Via Probability Map Guided Copy-Pasting
Hao-Shu Fang*, Jianhua Sun*, Runzhong Wang*, Minghao Gou, Yong-Lu Li, Cewu Lu(*=equal contribution)

IEEE International Conference on Computer Vision (ICCV), 2019

[paper][code]

Cross-Domain Adaptation for Animal Pose Estimation
Jinkun Cao*, Hongyang Tang*, Hao-Shu Fang, Xiaoyong Shen, Yu-Wing Tai, Cewu Lu(*=equal contribution)

IEEE International Conference on Computer Vision (ICCV), 2019

[paper]

Explicit Shape Encoding for Real-time Instance Segmentation
Wenqiang Xu*, Haiyang Wang*, Fubo Qi, Cewu Lu(*=equal contribution)

IEEE International Conference on Computer Vision (ICCV), 2019

[paper][code]

TendencyRL: Multi-stage discriminative hints for efficient goal-oriented reverse curriculum learning
Chen Wang* , Junfeng Ding*, Xiangyu Chen, Zelin Ye, Jialu Wang, Ziruo Cai,Shixiang Gu, Cewu Lu, (*=equal contribution)

IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2019

Transferable Force-Torque Dynamics Model for Peg-in-hole Task
Junfeng Ding*, Chen Wang*, Cewu Lu, (*=equal contribution)

IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2019

[paper]

DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion
Chen Wang, Danfei Xu, Yuke Zhu, Roberto Martín-Martín, Cewu Lu, Li Fei-Fei, Silvio Savarese

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019

[paper][code]

Deep RNN Framework for Visual Sequential Applications
Bo Pang*, Kaiwen Zha*, Hanwen Cao, Chen Shi, Cewu Lu (*=equal contribution)

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019

[paper][code]

CrowdPose: Efficient Crowded Scenes Pose Estimation and A New Benchmark
Jiefeng Li, Can Wang, Hao Zhu, Yihuan Mao, Hao-Shu Fang, Cewu Lu

IEEE Conference on Computer Vision and Pattern Recognition (CVPR Oral), 2019

[paper][code]

Transferable Interactiveness Prior for Human-Object Interaction Detection
Yong-Lu Li, Siyuan Zhou, Xijie Huang, Liang Xu, Ze Ma, Hao-Shu Fang, Yan-Feng Wang, Cewu Lu

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019

[paper][code]

SRDA: Generating Instance Segmentation Annotation via Scanning, Reasoning and Domain Adaptation
Wenqiang Xu*, Yonglu Li*, Jun Lv, Cewu Lu. (*=equal contribution)

European Conference on Computer Vision (ECCV), 2018

[paper]

Pairwise Body-Part Attention for Recognizing Human-Object Interactions
Hao-Shu Fang, Jinkun Cao, Yu-Wing Tai and Cewu Lu

European Conference on Computer Vision (ECCV), 2018

Pose Flow: Efficient Online Pose Tracking
Yuliang Xiu, Jiefeng Li, Haoyu Wang, Yinghong Fang and Cewu Lu

British Machine Vision Conference (BMVC), 2018

[paper][code]

Annotation-Free and One-Shot Learning for Instance Segmentation of Homogeneous Object Clusters
Zheng Wu, Ruiheng Chang, Jiaxu Ma, Cewu Lu, Chi-Keung Tang

International Joint Conference on Artificial Intelligence(IJCAI), 2018

[paper]

Weakly and Semi Supervised Human Body Part Parsing via Pose-Guided Knowledge Transfer
Hao-Shu Fang, Guansong Lu, Xiaolin Fang, Jianwen Xie, Yu-Wing Tai and Cewu Lu

IEEE Conference on Computer Vision and Pattern Recognition (CVPR Spotlight), 2018

[paper][code]

LiDAR-Video Driving Dataset: Learning Driving Policies Effectively
Yiping Chen*, Jingkang Wang*, Jonathan Li, Cewu Lu, Zhipeng Luo, Han Xue, and Cheng Wang (* equal contribution)

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018

[paper]

Environment Upgrade Reinforcement Learning for Non-differentiable Multi-stage Pipelines
Shuqin Xie, Zitian Chen, Chao Xu, Cewu Lu

IEEE Conference on Computer Vision and Pattern Recognition (CVPR Spotlight), 2018

[paper]

Beyond Holistic Object Recognition: Enriching Image Understanding with Part States
Cewu Lu, Hao Su, Yonglu Li, Yongyi Lu, Li Yi, Chi-Keung Tang, Leonidas J. Guibas

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018

[paper]

Recurrent Residual Module for Fast Inference in Videos
Bowen Pan, Wuwei Lin, Xiaolin Fang, Chaoqin Huang, Bolei Zhou, Cewu Lu

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018

[paper]

PoseHD: Boosting Human Detectors using Human Pose Information
Zhijian Liu, Bowen Pan, Yuliang Xiu, Cewu Lu

In proceedings of AAAI Conference on Artificial Intelligence (AAAI), 2018

[paper]

Virtual to Real Reinforcement Learning for Autonomous Driving
Xinlei Pan, Yurong You, Ziyan Wang, Cewu Lu

In Proceedings of British Machine Vision Conference (BMVC), 2017

[paper]

RSCM: Region Selection and Concurrency Model for Multi-class Weather Classification
Di Lin, Cewu Lu, Jiaya Jia

IEEE Transactions on Image Processing(TIP), 2017

(CCF A类)
Very Fast Abnormal Event Detection
Cewu Lu, Jianping Shi, Jiaya Jia

International Journal of Computer Vision (IJCV), 2017

(CCF A类)
RMPE: Regional Multi-person Pose Estimation
Hao-Shu Fang, Shuqin Xie, Yu-Wing Tai, Cewu Lu
International Conference on Computer Vision, (ICCV), 2017
(CCF A类)

[paper][code][project]

Online Video Object Detetion using Assoiation LSTM
Yongyi Lu, Cewu Lu, Chi-keung Tang

International Conference on Computer Vision, (ICCV), 2017

(CCF A类)
Two-Class Weather Classification
Cewu Lu, Di Lin, Jiaya Jia, Li Xu, Chi-Keung Tang

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2016 (Accepted)

(CCF A类)
Visual Relationship Detection with Language Priors
Cewu Lu*, Ranjay Krishna*, Michael Bernstein, Li Fei-Fei (*= equal contribution)
European Conference on Computer Vision (ECCV), 2016 (oral)
[pdf][dataset][code][project]
City-Scale Map Creation and Updating using GPS Collections
Chen Chen, Cewu Lu ,Qixing Huang, Dimitrios Gunopulos, Leonidas Guibas and Qiang Yang,

ACM Conference on Knowledge Discovery and Data Mining, (KDD), 2016

(CCF A类)
A Scalable Active Framework for Region Annotation in 3D Shape Collections
Eric Yi,Vladimir G. Kim, Duygu Ceylan,I-Chao Shen,Mengyan Li,Hao Su,Cewu Lu, Qixing Huang, Alla Sheffer and Leonidas Guibas

ACM Transactions on Graphics (ACM SIGGRAPH ASIA 2016)

(CCF A类)
L0 Regularized Stationary Time Estimation for Crowd Analysis
Shuai Yi, Xiaogang Wang, Cewu Lu , Jiaya Jia, Hongsheng Li.g

IEEE Transactions on Pattern Analysis and Machine Intelligence, (TPAMI), 2016

(CCF A类)
Contour Box: Rejecting Object Proposals Without Explicit Closed Contours
Cewu Lu , Shu Liu, Jiaya Jia and Chi-Keung Tang

International Conference on Computer Vision, (ICCV), 2015

(CCF A类)
Square Localization for Efficient and Accurate Object Detection
Cewu Lu , Yongyi Lu, Hao Chen and Chi-Keung Tang

International Conference on Computer Vision, (ICCV), 2015

(CCF A类)
Box Aggregation for Proposal Decimation: Last Mile of Object Detection
Shu Liu, Cewu Lu and Jiaya Jia

International Conference on Computer Vision, (ICCV), 2015

(CCF A类)
Real-Time Video Stylization Using Object Flows
Cewu Lu Yao Xiao and Chi-Keung Tang

IEEE Transactions on Visualization and Computer Graphics (TVCG), 2015

(CCF A类)
Persional Object Discovery
Cewu Lu, Renjie Liao and Jiaya Jia.

IEEE Transactions on Image Processing(TIP), 2015

(CCF A类)
Improving Object Recognition with the l-Channel.
Cewu Lu, Efstratios Tsougenis and Chi-Keung Tang.
Pattern Recognition (PR) 2015
Deep LAC: Deep Localization, Alignment and Classification for Fine-grained Recognition.
Di Lin, Xiaoyong Shen, Cewu Lu and Jiaya Jia.

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015

(CCF A类)
Complexity-Adaptive Distance Metric for Object Proposals Generation.
Yao Xiao, Cewu Lu and Chi-Keung Tang.

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015

(CCF A类)
Sparsity-based color quantization with preserved image details.
Jinze Yu, Cewu Lu, Yoichi Sato.

(SIGGRAPH) Asia Poster, 2015

(CCF A类)
Contrast Preserving Decolorization with Perceptual-Based Quality Metrics.
Cewu Lu, Li Xu and Jiaya Jia.

International Journal of Computer Vision (IJCV), 2014

(CCF A类)
Two-Class Weather Classification.
Cewu Lu, Di Lin, Jiaya Jia, Chi-Keung Tang.

IEEE Conference on Computer Vision and Pattern Recognition, (CVPR), 2014

(CCF A类)

[paper][project][dataset]

Range-Sample Depth Feature for Action Recognition.
Cewu Lu, Jiaya Jia and Chi-Keung Tang.

IEEE Conference on Computer Vision and Pattern Recognition, (CVPR), 2014

(CCF A类)

[paper]

Learning Important Spatial Pooling Regions for Scene Classification.
Di Lin,Cewu Lu, Renjie Liao, Jiaya Jia.

IEEE Conference on Computer Vision and Pattern Recognition, (CVPR), 2014

(CCF A类)

[paper]

L0 Regularized Stationary Time Estimation for Crowd Group Analysis.
Shuai Yi, Xiaogang Wang, Cewu Lu and Jiaya Jia.

IEEE Conference on Computer Vision and Pattern Recognition, (CVPR), 2014

(CCF A类)

[paper]

Scale Adaptive Dictionary Learning.
Cewu Lu, Jianping Shi and Jiaya Jia.

IEEE Transactions on Image Processing (TIP) 2014

(CCF A类)
Abnormal Event Detection at 150 FPS in Matlab.
Cewu Lu, Jianping Shi, Jiaya Jia.

International Conference on Computer Vision, (ICCV),2013

(CCF A类)

[paper][project][dataset]

Online Robust Dictionary Learning.
Cewu Lu, Jianping Shi, Jiaya Jia.

IEEE Conference on Computer Vision and Pattern Recognition, (CVPR), 2013

(CCF A类)

[paper][matlab code][slides]

Real-time Contrast Preserving Decolorization.
Cewu Lu, Li Xu and Jiaya Jia.

ACM SIGGRAPH ASIA 2012 Technical Briefs (invited paper), 2012

(CCF A类)

[paper][matlab code]

Combining Sketch and Tone for Pencil Drawing Production.
Cewu Lu, Li Xu, Jiaya Jia.
Non-Photorealistic Animation and Rendering (NPAR), 2012
(Best Paper Award).
[project][paper] [slide][code of direction classification]
Contrast Preserving Decolorization.
Cewu Lu , Li Xu, Jiaya Jia.

IEEE International Conference on Computational Photography(ICCP), 2012

(CCF A类)

The method has been included in OpenCV 3.0 decolor
[ project][paper][matlab code][CCPR code]

Image Smoothing via L0 Gradient Minimization.
Cewu Lu* Li Xu*, Yi Xu, Jiaya Jia

ACM Transactions on Graphics, Vol. 30, No. 6 (ACM SIGGRAPH ASIA 2011), Dec. 2011

(CCF A类)

most cited paper among all papers in SIGGRAPH Asia recent 5 years.
[project][paper][matlab code]