Chengjiang Long

According to our database, Chengjiang Long authored at least 72 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

CRD-CGAN: category-consistent and relativistic constraints for diverse text-to-image generation.

Tao Hu, Chengjiang Long, Chunxia Xiao

Frontiers Comput. Sci., February, 2024

Disentangled Representation Learning for Controllable Person Image Generation.

Wenju Xu, Chengjiang Long, Yongwei Nie, Guanghui Wang

IEEE Trans. Multim., 2024

Multiple-Crop Human Mesh Recovery with Contrastive Learning and Camera Consistency in A Single Image.

Yongwei Nie, Changzhen Liu, Chengjiang Long, Qing Zhang, Guiqing Li, Hongmin Cai

CoRR, 2024

Incorporating Exemplar Optimization into Training with Dual Networks for Human Mesh Recovery.

Yongwei Nie, Mingxian Fan, Chengjiang Long, Qing Zhang, Jian Zhu, Xuemiao Xu

CoRR, 2024

Exploring Matching Rates: From Keypoint Selection to Camera Relocalization.

Hu Lin, Chengjiang Long, Yifeng Fei, Qianchen Xia, Erwei Yin, Baocai Yin, Xin Yang

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Interleaving One-Class and Weakly-Supervised Models with Adaptive Thresholding for Unsupervised Video Anomaly Detection.

Yongwei Nie, Hao Huang, Chengjiang Long, Qing Zhang, Pradipta Maji, Hongmin Cai

Proceedings of the Computer Vision - ECCV 2024, 2024

Motion Keyframe Interpolation for Any Human Skeleton via Temporally Consistent Point Cloud Sampling and Reconstruction.

Clinton Mo, Kun Hu, Chengjiang Long, Dong Yuan, Zhiyong Wang

Proceedings of the Computer Vision - ECCV 2024, 2024

REFA: Real-time Egocentric Facial Animations for Virtual Reality.

Qiang Zhang, Tong Xiao, Haroun Habeeb, Larissa Laich, Sofien Bouaziz, Patrick Snape, Wenjing Zhang, Matthew Cioffi, Peizhao Zhang, Pavel Pidlypenskyi, Winnie Lin, Luming Ma, Mengjiao Wang, Kunpeng Li, Chengjiang Long, Steven Song, Martin Prazák, Alexander Sjoholm, Ajinkya Deogade, Jaebong Lee, Julio Delgado Mangas, Amaury Aubel

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

CoreRec: A Counterfactual Correlation Inference for Next Set Recommendation.

Kexin Li, Chengjiang Long, Shengyu Zhang, Xudong Tang, Zhichao Zhai, Kun Kuang, Jun Xiao

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Explore Contextual Information for 3D Scene Graph Generation.

Yuanyuan Liu, Chengjiang Long, Zhaoxuan Zhang, Bokai Liu, Qiang Zhang, Baocai Yin, Xin Yang

IEEE Trans. Vis. Comput. Graph., December, 2023

Representing Multimodal Behaviors With Mean Location for Pedestrian Trajectory Prediction.

Liushuai Shi, Le Wang, Chengjiang Long, Sanping Zhou, Wei Tang, Nanning Zheng, Gang Hua

IEEE Trans. Pattern Anal. Mach. Intell., September, 2023

Discriminative Active Learning for Robotic Grasping in Cluttered Scene.

Boyan Wei, Xianfeng Ye, Chengjiang Long, Zhenjun Du, Bangyu Li, Baocai Yin, Xin Yang

IEEE Robotics Autom. Lett., March, 2023

Exploiting Residual and Illumination with GANs for Shadow Detection and Shadow Removal.

Ling Zhang, Chengjiang Long, Xiaolong Zhang, Chunxia Xiao

ACM Trans. Multim. Comput. Commun. Appl., 2023

Feature Representation Learning with Adaptive Displacement Generation and Transformer Fusion for Micro-Expression Recognition.

Zhijun Zhai, Jianhui Zhao, Chengjiang Long, Wenju Xu, Shuangjiang He, Huijuan Zhao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Learning Dynamic Style Kernels for Artistic Style Transfer.

Wenju Xu, Chengjiang Long, Yongwei Nie

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Continuous Intermediate Token Learning with Implicit Motion Manifold for Keyframe Based Motion Interpolation.

Clinton Ansun Mo, Kun Hu, Chengjiang Long, Zhiyong Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

A Two-Stage Attentive Network for Single Image Super-Resolution.

Jiqing Zhang, Chengjiang Long, Yuxin Wang, Haiyin Piao, Haiyang Mei, Xin Yang, Baocai Yin

IEEE Trans. Circuits Syst. Video Technol., 2022

DDBN: Dual detection branch network for semantic diversity predictions.

Qifeng Lin, Chengjiang Long, Jianhui Zhao, Gang Fu, Zhiyong Yuan

Pattern Recognit., 2022

Diverse Human Motion Prediction via Gumbel-Softmax Sampling from an Auxiliary Space.

Lingwei Dang, Yongwei Nie, Chengjiang Long, Qing Zhang, Guiqing Li

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

PhraseGAN: Phrase-Boost Generative Adversarial Network for Text-to-Image Generation.

Fei Fang, Ziqing Li, Fei Luo, Chengjiang Long, Shenghong Hu, Chunxia Xiao

Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

Progressively Generating Better Initial Guesses Towards Next Stages for High-Quality Human Motion Prediction.

Tiezheng Ma, Yongwei Nie, Chengjiang Long, Qing Zhang, Guiqing Li

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Video Shadow Detection via Spatio-Temporal Interpolation Consistency Training.

Xiao Lu, Yihong Cao, Sheng Liu, Chengjiang Long, Zipei Chen, Xuanyu Zhou, Yimin Yang, Chunxia Xiao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Deep Image-based Illumination Harmonization.

Zhongyun Bao, Chengjiang Long, Gang Fu, Daquan Liu, Yuanzhen Li, Jiaming Wu, Chunxia Xiao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Social Interpretable Tree for Pedestrian Trajectory Prediction.

Liushuai Shi, Le Wang, Chengjiang Long, Sanping Zhou, Fang Zheng, Nanning Zheng, Gang Hua

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

CPRAL: Collaborative Panoptic-Regional Active Learning for Semantic Segmentation.

Yu Qiao, Jincheng Zhu, Chengjiang Long, Zeyao Zhang, Yuxin Wang, Zhenjun Du, Xin Yang

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Complementary Attention Gated Network for Pedestrian Trajectory Prediction.

Jinghai Duan, Le Wang, Chengjiang Long, Sanping Zhou, Fang Zheng, Liushuai Shi, Gang Hua

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Monte Carlo denoising via auxiliary feature guided self-attention.

Jiaqi Yu, Yongwei Nie, Chengjiang Long, Wenjun Xu, Qing Zhang, Guiqing Li

ACM Trans. Graph., 2021

Explore Video Clip Order With Self-Supervised and Curriculum Learning for Video Applications.

Jun Xiao, Lin Li, Dejing Xu, Chengjiang Long, Jian Shao, Shifeng Zhang, Shiliang Pu, Yueting Zhuang

IEEE Trans. Multim., 2021

A Novel Visual Representation on Text Using Diverse Conditional GAN for Visual Recognition.

Tao Hu, Chengjiang Long, Chunxia Xiao

IEEE Trans. Image Process., 2021

Scene Inference for Object Illumination Editing.

Zhongyun Bao, Chengjiang Long, Gang Fu, Daquan Liu, Yuanzhen Li, Jiaming Wu, Chunxia Xiao

CoRR, 2021

Multi-Level Attentive Convoluntional Neural Network for Crowd Counting.

Mengxiao Tian, Hao Guo, Chengjiang Long

CoRR, 2021

Luminance Attentive Networks for HDR Image and Panorama Reconstruction.

Hanning Yu, Wentao Liu, Chengjiang Long, Bo Dong, Qin Zou, Chunxia Xiao

Comput. Graph. Forum, 2021

Dual Graph Convolutional Networks with Transformer and Curriculum Learning for Image Captioning.

Xinzhi Dong, Chengjiang Long, Wenju Xu, Chunxia Xiao

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

DRB-GAN: A Dynamic ResBlock Generative Adversarial Network for Artistic Style Transfer.

Wenju Xu, Chengjiang Long, Ruisheng Wang, Guanghui Wang

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

A Hybrid Video Anomaly Detection Framework via Memory-Augmented Flow Reconstruction and Flow-Guided Frame Prediction.

Zhian Liu, Yongwei Nie, Chengjiang Long, Qing Zhang, Guiqing Li

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

MSR-GCN: Multi-Scale Residual Graph Convolution Networks for Human Motion Prediction.

Lingwei Dang, Yongwei Nie, Chengjiang Long, Qing Zhang, Guiqing Li

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

CANet: A Context-Aware Network for Shadow Removal.

Zipei Chen, Chengjiang Long, Ling Zhang, Chunxia Xiao

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

SGCN: Sparse Graph Convolution Network for Pedestrian Trajectory Prediction.

Liushuai Shi, Le Wang, Chengjiang Long, Sanping Zhou, Mo Zhou, Zhenxing Niu, Gang Hua

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

A Hybrid Attention Mechanism for Weakly-Supervised Temporal Action Localization.

Ashraful Islam, Chengjiang Long, Richard J. Radke

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Shading-aware shadow detection and removal from a single image.

Xinyun Fan, Wenjun Wu, Ling Zhang, Qingan Yan, Gang Fu, Zipei Chen, Chengjiang Long, Chunxia Xiao

Vis. Comput., 2020

CLA-GAN: A Context and Lightness Aware Generative Adversarial Network for Shadow Removal.

Ling Zhang, Chengjiang Long, Qingan Yan, Xiaolong Zhang, Chunxia Xiao

Comput. Graph. Forum, 2020

Multi-stage point completion network with critical set supervision.

Wenxiao Zhang, Chengjiang Long, Qingan Yan, Alix L. H. Chow, Chunxia Xiao

Comput. Aided Geom. Des., 2020

Iterative and Adaptive Sampling with Spatial Attention for Black-Box Model Explanations.

Bhavan Vasu, Chengjiang Long

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Multi-Context And Enhanced Reconstruction Network For Single Image Super Resolution.

Jiqing Zhang, Chengjiang Long, Yuxin Wang, Xin Yang, Haiyang Mei, Baocai Yin

Proceedings of the IEEE International Conference on Multimedia and Expo, 2020

ARShadowGAN: Shadow Generative Adversarial Network for Augmented Reality in Single Light Scenes.

Daquan Liu, Chengjiang Long, Hongpan Zhang, Hanning Yu, Xinzhi Dong, Chunxia Xiao

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

DOA-GAN: Dual-Order Attentive Generative Adversarial Network for Image Copy-Move Forgery Detection and Localization.

Ashraful Islam, Chengjiang Long, Arslan Basharat, Anthony Hoogs

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

RIS-GAN: Explore Residual and Illumination with Generative Adversarial Networks for Shadow Removal.

Ling Zhang, Chengjiang Long, Xiaolong Zhang, Chunxia Xiao

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

VITAL: A Visual Interpretation on Text with Adversarial Learning for Image Labeling.

Tao Hu, Chengjiang Long, Leheng Zhang, Chunxia Xiao

CoRR, 2019

Shadow Inpainting and Removal Using Generative Adversarial Networks with Slice Convolutions.

Jinjiang Wei, Chengjiang Long, Hua Zou, Chunxia Xiao

Comput. Graph. Forum, 2019

Automated pig counting using deep learning.

Mengxiao Tian, Hao Guo, Hong Chen, Qing Wang, Chengjiang Long, Yuhao Ma

Comput. Electron. Agric., 2019

Deep Neural Networks in Fully Connected CRF for Image Labeling with Social Network Metadata.

Chengjiang Long, Roddy Collins, Eran Swears, Anthony Hoogs

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

ARGAN: Attentive Recurrent Generative Adversarial Network for Shadow Detection and Removal.

Bin Ding, Chengjiang Long, Ling Zhang, Chunxia Xiao

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

A Coarse-to-fine Deep Convolutional Neural Network Framework for Frame Duplication Detection and Localization in Forged Videos.

Chengjiang Long, Arslan Basharat, Anthony Hoogs

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

Urban Semantic 3D Reconstruction From Multiview Satellite Imagery.

Matthew J. Leotta, Chengjiang Long, Bastien Jacquet, Matthieu Zins, Dan Lipsa, Jie Shan, Bo Xu, Zhixin Li, Xu Zhang, Shih-Fu Chang, Matthew Purri, Jia Xue, Kristin J. Dana

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018

Collaborative Active Visual Recognition from Crowds: A Distributed Ensemble Approach.

Gang Hua, Chengjiang Long, Ming Yang, Yan Gao

IEEE Trans. Pattern Anal. Mach. Intell., 2018

A Coarse-to-fine Deep Convolutional Neural Network Framework for Frame Duplication Detection and Localization in Video Forgery.

Chengjiang Long, Arslan Basharat, Anthony Hoogs

CoRR, 2018

A Method to Build Multi-Scene Datasets for CNN for Camera Pose Regression.

Yuhao Ma, Hao Guo, Hong Chen, Mengxiao Tian, Xin Huo, Chengjiang Long, Shiye Tang, Xiaoyu Song, Qing Wang

Proceedings of the 2018 IEEE International Conference on Artificial Intelligence and Virtual Reality, 2018

2017

L2GSCI: Local to Global Seam Cutting and Integrating for Accurate Face Contour Extraction.

Yongwei Nie, Xu Cao, Chengjiang Long, Ping Li, Guiqing Li

CoRR, 2017

How Does a Camera Look at One 3D CAD Object?

Chuang Xing, Chengjiang Long, Hao Guo, Yongwei Nie, Yuan Zhang, Dehai Zhu, Qin Ma, Mengxiao Tian

Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence, 2017

A C3D-Based Convolutional Neural Network for Frame Dropping Detection in a Single Video Shot.

Chengjiang Long, Eric Smith, Arslan Basharat, Anthony Hoogs

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

Correlational Gaussian Processes for Cross-Domain Visual Recognition.

Chengjiang Long, Gang Hua

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

A Joint Gaussian Process Model for Active Visual Recognition with Expertise Estimation in Crowdsourcing.

Chengjiang Long, Gang Hua, Ashish Kapoor

Int. J. Comput. Vis., 2016

2015

Multi-class Multi-annotator Active Learning with Robust Gaussian Process for Visual Recognition.

Chengjiang Long, Gang Hua

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

2014

Accurate Object Detection with Location Relaxation and Regionlets Re-localization.

Chengjiang Long, Xiaoyu Wang, Gang Hua, Ming Yang, Yuanqing Lin

Proceedings of the Computer Vision - ACCV 2014, 2014

2013

Active Visual Recognition with Expertise Estimation in Crowdsourcing.

Chengjiang Long, Gang Hua, Ashish Kapoor

Proceedings of the IEEE International Conference on Computer Vision, 2013

Collaborative Active Learning of a Kernel Machine Ensemble for Recognition.

Gang Hua, Chengjiang Long, Ming Yang, Yan Gao

Proceedings of the IEEE International Conference on Computer Vision, 2013

2011

A New Region Growing Algorithm for Triangular Mesh Recovery from Scattered 3D Points.

Chengjiang Long, Jianhui Zhao, Ravindra S. Goonetilleke, Shuping Xiong, Yihua Ding, Zhiyong Yuan, Yuanyuan Zhang

Trans. Edutainment, 2011

2010

Constrained Surface Recovery Using RBF and Its Efficiency Improvements.

Yihua Ding, Jianhui Zhao, Zhiyong Yuan, Yuanyuan Zhang, Chengjiang Long, Lu Xiong

J. Multim., 2010

Real-time Simulation for 3D Tissue Deformation with CUDA Based GPU Computing.

Zhiyong Yuan, Yuanyuan Zhang, Jianhui Zhao, Yihua Ding, Chengjiang Long, Lu Xiong, Dengyi Zhang, Guozhong Liang

J. Convergence Inf. Technol., 2010

An automatic method of measuring foot girths for custom footwear using local RBF implicit surfaces.

Yihua Ding, Jianhui Zhao, Ravindra S. Goonetilleke, Shuping Xiong, Zhiyong Yuan, Yuanyuan Zhang, Chengjiang Long

Int. J. Comput. Integr. Manuf., 2010

Transmission: A New Feature for Computer Vision Based Smoke Detection.

Chengjiang Long, Jianhui Zhao, Shizhong Han, Lu Xiong, Zhiyong Yuan, Jing Huang, Weiwei Gao

Proceedings of the Artificial Intelligence and Computational Intelligence, 2010

2007

Improvements on Electric Field Based Curve Reconstruction from Unorganized Points.

Yihua Ding, Jianhui Zhao, Zhixu Li, Ansong Yao, Li Rao, Chengjiang Long

Proceedings of the Workshop on Intelligent Information Technology Application, 2007