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Chengjiang Long
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2020 – today
- 2024
- [j23]Tao Hu
, Chengjiang Long, Chunxia Xiao:
CRD-CGAN: category-consistent and relativistic constraints for diverse text-to-image generation. Frontiers Comput. Sci. 18(1): 181304 (2024) - [j22]Wenju Xu
Disentangled Representation Learning for Controllable Person Image Generation. IEEE Trans. Multim. 26: 6065-6077 (2024) - [c43]Kexin Li, Chengjiang Long, Shengyu Zhang, Xudong Tang, Zhichao Zhai, Kun Kuang, Jun Xiao:
CoreRec: A Counterfactual Correlation Inference for Next Set Recommendation. AAAI 2024: 8661-8669 - [c42]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:
REFA: Real-time Egocentric Facial Animations for Virtual Reality. CVPR Workshops 2024: 4793-4802 - [c41]Clinton Mo, Kun Hu, Chengjiang Long, Dong Yuan, Zhiyong Wang:
Motion Keyframe Interpolation for Any Human Skeleton via Temporally Consistent Point Cloud Sampling and Reconstruction. ECCV (82) 2024: 159-175 - [c40]Yongwei Nie, Changzhen Liu, Chengjiang Long, Qing Zhang, Guiqing Li, Hongmin Cai:
Multi-RoI Human Mesh Recovery with Camera Consistency and Contrastive Losses. ECCV (47) 2024: 439-458 - [c39]Yongwei Nie
Interleaving One-Class and Weakly-Supervised Models with Adaptive Thresholding for Unsupervised Video Anomaly Detection. ECCV (30) 2024: 449-467 - [c38]Hu Lin
Exploring Matching Rates: From Keypoint Selection to Camera Relocalization. ACM Multimedia 2024: 506-514 - [i32]Yongwei Nie, Hao Huang, Chengjiang Long, Qing Zhang, Pradipta Maji, Hongmin Cai:
Interleaving One-Class and Weakly-Supervised Models with Adaptive Thresholding for Unsupervised Video Anomaly Detection. CoRR abs/2401.13551 (2024) - [i31]Yongwei Nie, Mingxian Fan, Chengjiang Long, Qing Zhang, Jian Zhu, Xuemiao Xu:
Incorporating Exemplar Optimization into Training with Dual Networks for Human Mesh Recovery. CoRR abs/2401.14121 (2024) - [i30]Yongwei Nie, Changzhen Liu, Chengjiang Long, Qing Zhang, Guiqing Li, Hongmin Cai:
Multiple-Crop Human Mesh Recovery with Contrastive Learning and Camera Consistency in A Single Image. CoRR abs/2402.02074 (2024) - [i29]Clinton Mo, Kun Hu, Chengjiang Long, Dong Yuan, Zhiyong Wang:
Motion Keyframe Interpolation for Any Human Skeleton via Temporally Consistent Point Cloud Sampling and Reconstruction. CoRR abs/2405.07444 (2024) - 2023
- [j21]Liushuai Shi
Representing Multimodal Behaviors With Mean Location for Pedestrian Trajectory Prediction. IEEE Trans. Pattern Anal. Mach. Intell. 45(9): 11184-11202 (2023) - [j20]Boyan Wei
Discriminative Active Learning for Robotic Grasping in Cluttered Scene. IEEE Robotics Autom. Lett. 8(3): 1858-1865 (2023) - [j19]Ling Zhang, Chengjiang Long
Exploiting Residual and Illumination with GANs for Shadow Detection and Shadow Removal. ACM Trans. Multim. Comput. Commun. Appl. 19(3): 120:1-120:22 (2023) - [j18]Yuanyuan Liu
Explore Contextual Information for 3D Scene Graph Generation. IEEE Trans. Vis. Comput. Graph. 29(12): 5556-5568 (2023) - [c37]Wenju Xu, Chengjiang Long, Yongwei Nie:
Learning Dynamic Style Kernels for Artistic Style Transfer. CVPR 2023: 10083-10092 - [c36]Clinton Ansun Mo, Kun Hu, Chengjiang Long, Zhiyong Wang:
Continuous Intermediate Token Learning with Implicit Motion Manifold for Keyframe Based Motion Interpolation. CVPR 2023: 13894-13903 - [c35]Zhijun Zhai, Jianhui Zhao, Chengjiang Long, Wenju Xu, Shuangjiang He
Feature Representation Learning with Adaptive Displacement Generation and Transformer Fusion for Micro-Expression Recognition. CVPR 2023: 22086-22095 - [i28]Clinton Ansun Mo
Continuous Intermediate Token Learning with Implicit Motion Manifold for Keyframe Based Motion Interpolation. CoRR abs/2303.14926 (2023) - [i27]Wenju Xu, Chengjiang Long, Yongwei Nie:
Learning Dynamic Style Kernels for Artistic Style Transfer. CoRR abs/2304.00414 (2023) - [i26]Zhijun Zhai, Jianhui Zhao, Chengjiang Long, Wenju Xu, Shuangjiang He, Huijuan Zhao:
Feature Representation Learning with Adaptive Displacement Generation and Transformer Fusion for Micro-Expression Recognition. CoRR abs/2304.04420 (2023) - [i25]Wenju Xu, Chengjiang Long, Yongwei Nie, Guanghui Wang:
Disentangled Representation Learning for Controllable Person Image Generation. CoRR abs/2312.05798 (2023) - 2022
- [j17]Qifeng Lin, Chengjiang Long, Jianhui Zhao, Gang Fu, Zhiyong Yuan:
DDBN: Dual detection branch network for semantic diversity predictions. Pattern Recognit. 122: 108315 (2022) - [j16]Jiqing Zhang
A Two-Stage Attentive Network for Single Image Super-Resolution. IEEE Trans. Circuits Syst. Video Technol. 32(3): 1020-1033 (2022) - [c34]Jinghai Duan, Le Wang, Chengjiang Long, Sanping Zhou, Fang Zheng, Liushuai Shi, Gang Hua:
Complementary Attention Gated Network for Pedestrian Trajectory Prediction. AAAI 2022: 542-550 - [c33]Yu Qiao, Jincheng Zhu, Chengjiang Long, Zeyao Zhang, Yuxin Wang, Zhenjun Du, Xin Yang:
CPRAL: Collaborative Panoptic-Regional Active Learning for Semantic Segmentation. AAAI 2022: 2108-2116 - [c32]Liushuai Shi, Le Wang, Chengjiang Long, Sanping Zhou, Fang Zheng, Nanning Zheng, Gang Hua:
Social Interpretable Tree for Pedestrian Trajectory Prediction. AAAI 2022: 2235-2243 - [c31]Xiao Lu
Video Shadow Detection via Spatio-Temporal Interpolation Consistency Training. CVPR 2022: 3106-3115 - [c30]Tiezheng Ma, Yongwei Nie, Chengjiang Long, Qing Zhang, Guiqing Li:
Progressively Generating Better Initial Guesses Towards Next Stages for High-Quality Human Motion Prediction. CVPR 2022: 6427-6436 - [c29]Zhongyun Bao, Chengjiang Long, Gang Fu, Daquan Liu, Yuanzhen Li, Jiaming Wu, Chunxia Xiao:
Deep Image-based Illumination Harmonization. CVPR 2022: 18521-18530 - [c28]Fei Fang, Ziqing Li, Fei Luo, Chengjiang Long, Shenghong Hu, Chunxia Xiao:
PhraseGAN: Phrase-Boost Generative Adversarial Network for Text-to-Image Generation. ICME 2022: 1-6 - [c27]Lingwei Dang, Yongwei Nie, Chengjiang Long, Qing Zhang, Guiqing Li:
Diverse Human Motion Prediction via Gumbel-Softmax Sampling from an Auxiliary Space. ACM Multimedia 2022: 5162-5171 - [i24]Tiezheng Ma, Yongwei Nie, Chengjiang Long, Qing Zhang, Guiqing Li:
Progressively Generating Better Initial Guesses Towards Next Stages for High-Quality Human Motion Prediction. CoRR abs/2203.16051 (2022) - [i23]Liushuai Shi, Le Wang, Chengjiang Long, Sanping Zhou, Fang Zheng, Nanning Zheng, Gang Hua:
Social Interpretable Tree for Pedestrian Trajectory Prediction. CoRR abs/2205.13296 (2022) - [i22]Xiao Lu, Yihong Cao, Sheng Liu, Chengjiang Long, Zipei Chen, Xuanyu Zhou, Yimin Yang, Chunxia Xiao:
Video Shadow Detection via Spatio-Temporal Interpolation Consistency Training. CoRR abs/2206.08801 (2022) - [i21]Lingwei Dang
Diverse Human Motion Prediction via Gumbel-Softmax Sampling from an Auxiliary Space. CoRR abs/2207.07351 (2022) - [i20]Yuanyuan Liu, Chengjiang Long, Zhaoxuan Zhang, Bokai Liu, Qiang Zhang, Baocai Yin, Xin Yang:
Explore Contextual Information for 3D Scene Graph Generation. CoRR abs/2210.06240 (2022) - 2021
- [j15]Hanning Yu
Luminance Attentive Networks for HDR Image and Panorama Reconstruction. Comput. Graph. Forum 40(7): 181-192 (2021) - [j14]Tao Hu
A Novel Visual Representation on Text Using Diverse Conditional GAN for Visual Recognition. IEEE Trans. Image Process. 30: 3499-3512 (2021) - [j13]Jun Xiao
Explore Video Clip Order With Self-Supervised and Curriculum Learning for Video Applications. IEEE Trans. Multim. 23: 3454-3466 (2021) - [j12]Jiaqi Yu, Yongwei Nie, Chengjiang Long, Wenjun Xu, Qing Zhang, Guiqing Li:
Monte Carlo denoising via auxiliary feature guided self-attention. ACM Trans. Graph. 40(6): 273:1-273:13 (2021) - [c26]Ashraful Islam, Chengjiang Long, Richard J. Radke:
A Hybrid Attention Mechanism for Weakly-Supervised Temporal Action Localization. AAAI 2021: 1637-1645 - [c25]Liushuai Shi, Le Wang, Chengjiang Long, Sanping Zhou, Mo Zhou, Zhenxing Niu, Gang Hua:
SGCN: Sparse Graph Convolution Network for Pedestrian Trajectory Prediction. CVPR 2021: 8994-9003 - [c24]Zipei Chen, Chengjiang Long, Ling Zhang, Chunxia Xiao:
CANet: A Context-Aware Network for Shadow Removal. ICCV 2021: 4723-4732 - [c23]Wenju Xu, Chengjiang Long, Ruisheng Wang, Guanghui Wang:
DRB-GAN: A Dynamic ResBlock Generative Adversarial Network for Artistic Style Transfer. ICCV 2021: 6363-6372 - [c22]Lingwei Dang, Yongwei Nie, Chengjiang Long, Qing Zhang, Guiqing Li:
MSR-GCN: Multi-Scale Residual Graph Convolution Networks for Human Motion Prediction. ICCV 2021: 11447-11456 - [c21]Zhian Liu, Yongwei Nie, Chengjiang Long, Qing Zhang, Guiqing Li:
A Hybrid Video Anomaly Detection Framework via Memory-Augmented Flow Reconstruction and Flow-Guided Frame Prediction. ICCV 2021: 13568-13577 - [c20]Xinzhi Dong, Chengjiang Long, Wenju Xu, Chunxia Xiao:
Dual Graph Convolutional Networks with Transformer and Curriculum Learning for Image Captioning. ACM Multimedia 2021: 2615-2624 - [i19]Ashraful Islam, Chengjiang Long, Richard J. Radke:
A Hybrid Attention Mechanism for Weakly-Supervised Temporal Action Localization. CoRR abs/2101.00545 (2021) - [i18]Liushuai Shi, Le Wang, Chengjiang Long, Sanping Zhou, Mo Zhou, Zhenxing Niu, Gang Hua:
SGCN: Sparse Graph Convolution Network for Pedestrian Trajectory Prediction. CoRR abs/2104.01528 (2021) - [i17]Jiqing Zhang, Chengjiang Long, Yuxin Wang, Haiyin Piao, Haiyang Mei, Xin Yang, Baocai Yin:
A Two-Stage Attentive Network for Single Image Super-Resolution. CoRR abs/2104.10488 (2021) - [i16]Mengxiao Tian, Hao Guo, Chengjiang Long:
Multi-Level Attentive Convoluntional Neural Network for Crowd Counting. CoRR abs/2105.11422 (2021) - [i15]Tao Hu, Chengjiang Long, Chunxia Xiao:
CRD-CGAN: Category-Consistent and Relativistic Constraints for Diverse Text-to-Image Generation. CoRR abs/2107.13516 (2021) - [i14]Zhongyun Bao, Chengjiang Long, Gang Fu, Daquan Liu, Yuanzhen Li, Jiaming Wu, Chunxia Xiao:
Scene Inference for Object Illumination Editing. CoRR abs/2108.00150 (2021) - [i13]Xinzhi Dong, Chengjiang Long, Wenju Xu, Chunxia Xiao:
Dual Graph Convolutional Networks with Transformer and Curriculum Learning for Image Captioning. CoRR abs/2108.02366 (2021) - [i12]Zhian Liu, Yongwei Nie, Chengjiang Long, Qing Zhang, Guiqing Li:
A Hybrid Video Anomaly Detection Framework via Memory-Augmented Flow Reconstruction and Flow-Guided Frame Prediction. CoRR abs/2108.06852 (2021) - [i11]Lingwei Dang
MSR-GCN: Multi-Scale Residual Graph Convolution Networks for Human Motion Prediction. CoRR abs/2108.07152 (2021) - [i10]Wenju Xu, Chengjiang Long, Ruisheng Wang, Guanghui Wang:
DRB-GAN: A Dynamic ResBlock Generative Adversarial Network for Artistic Style Transfer. CoRR abs/2108.07379 (2021) - [i9]Zipei Chen, Chengjiang Long, Ling Zhang, Chunxia Xiao:
CANet: A Context-Aware Network for Shadow Removal. CoRR abs/2108.09894 (2021) - [i8]Hanning Yu
Luminance Attentive Networks for HDR Image and Panorama Reconstruction. CoRR abs/2109.06688 (2021) - 2020
- [j11]Wenxiao Zhang, Chengjiang Long
Multi-stage point completion network with critical set supervision. Comput. Aided Geom. Des. 82: 101925 (2020) - [j10]Ling Zhang, Chengjiang Long, Qingan Yan, Xiaolong Zhang, Chunxia Xiao:
CLA-GAN: A Context and Lightness Aware Generative Adversarial Network for Shadow Removal. Comput. Graph. Forum 39(7): 483-494 (2020) - [j9]Xinyun Fan, Wenjun Wu, Ling Zhang, Qingan Yan, Gang Fu, Zipei Chen, Chengjiang Long, Chunxia Xiao:
Shading-aware shadow detection and removal from a single image. Vis. Comput. 36(10): 2175-2188 (2020) - [c19]Ling Zhang, Chengjiang Long, Xiaolong Zhang, Chunxia Xiao:
RIS-GAN: Explore Residual and Illumination with Generative Adversarial Networks for Shadow Removal. AAAI 2020: 12829-12836 - [c18]Ashraful Islam, Chengjiang Long, Arslan Basharat, Anthony Hoogs:
DOA-GAN: Dual-Order Attentive Generative Adversarial Network for Image Copy-Move Forgery Detection and Localization. CVPR 2020: 4675-4684 - [c17]Daquan Liu, Chengjiang Long, Hongpan Zhang, Hanning Yu, Xinzhi Dong, Chunxia Xiao:
ARShadowGAN: Shadow Generative Adversarial Network for Augmented Reality in Single Light Scenes. CVPR 2020: 8136-8145 - [c16]Jiqing Zhang, Chengjiang Long, Yuxin Wang, Xin Yang, Haiyang Mei, Baocai Yin:
Multi-Context And Enhanced Reconstruction Network For Single Image Super Resolution. ICME 2020: 1-6 - [c15]Bhavan Vasu, Chengjiang Long:
Iterative and Adaptive Sampling with Spatial Attention for Black-Box Model Explanations. WACV 2020: 2949-2958
2010 – 2019
- 2019
- [j8]Mengxiao Tian, Hao Guo
Automated pig counting using deep learning. Comput. Electron. Agric. 163 (2019) - [j7]Jinjiang Wei, Chengjiang Long, Hua Zou, Chunxia Xiao:
Shadow Inpainting and Removal Using Generative Adversarial Networks with Slice Convolutions. Comput. Graph. Forum 38(7): 381-392 (2019) - [c14]Chengjiang Long, Arslan Basharat, Anthony Hoogs:
A Coarse-to-fine Deep Convolutional Neural Network Framework for Frame Duplication Detection and Localization in Forged Videos. CVPR Workshops 2019: 1-10 - [c13]Matthew J. Leotta, Chengjiang Long, Bastien Jacquet, Matthieu Zins, Dan Lipsa, Jie Shan
Urban Semantic 3D Reconstruction From Multiview Satellite Imagery. CVPR Workshops 2019: 1451-1460 - [c12]Bin Ding, Chengjiang Long, Ling Zhang, Chunxia Xiao:
ARGAN: Attentive Recurrent Generative Adversarial Network for Shadow Detection and Removal. ICCV 2019: 10212-10221 - [c11]Chengjiang Long, Roddy Collins, Eran Swears, Anthony Hoogs:
Deep Neural Networks in Fully Connected CRF for Image Labeling with Social Network Metadata. WACV 2019: 1607-1615 - [i7]Tao Hu, Chengjiang Long, Leheng Zhang, Chunxia Xiao:
VITAL: A Visual Interpretation on Text with Adversarial Learning for Image Labeling. CoRR abs/1907.11811 (2019) - [i6]Bin Ding, Chengjiang Long, Ling Zhang, Chunxia Xiao:
ARGAN: Attentive Recurrent Generative Adversarial Network for Shadow Detection and Removal. CoRR abs/1908.01323 (2019) - [i5]Ling Zhang, Chengjiang Long, Xiaolong Zhang, Chunxia Xiao:
RIS-GAN: Explore Residual and Illumination with Generative Adversarial Networks for Shadow Removal. CoRR abs/1911.09178 (2019) - [i4]Bhavan Vasu, Chengjiang Long:
Iterative and Adaptive Sampling with Spatial Attention for Black-Box Model Explanations. CoRR abs/1912.08387 (2019) - 2018
- [j6]Gang Hua
Collaborative Active Visual Recognition from Crowds: A Distributed Ensemble Approach. IEEE Trans. Pattern Anal. Mach. Intell. 40(3): 582-594 (2018) - [c10]Yuhao Ma, Hao Guo
A Method to Build Multi-Scene Datasets for CNN for Camera Pose Regression. AIVR 2018: 108-115 - [i3]Chengjiang Long, Roddy Collins, Eran Swears, Anthony Hoogs:
Deep Neural Networks In Fully Connected CRF For Image Labeling With Social Network Metadata. CoRR abs/1801.09108 (2018) - [i2]Chengjiang Long, Arslan Basharat, Anthony Hoogs:
A Coarse-to-fine Deep Convolutional Neural Network Framework for Frame Duplication Detection and Localization in Video Forgery. CoRR abs/1811.10762 (2018) - 2017
- [c9]Chengjiang Long, Eric Smith, Arslan Basharat, Anthony Hoogs:
A C3D-Based Convolutional Neural Network for Frame Dropping Detection in a Single Video Shot. CVPR Workshops 2017: 1898-1906 - [c8]Chengjiang Long, Gang Hua:
Correlational Gaussian Processes for Cross-Domain Visual Recognition. CVPR 2017: 4932-4940 - [c7]Chuang Xing, Chengjiang Long, Hao Guo
How Does a Camera Look at One 3D CAD Object? ICTAI 2017: 623-627 - [i1]Yongwei Nie, Xu Cao, Chengjiang Long, Ping Li
L2GSCI: Local to Global Seam Cutting and Integrating for Accurate Face Contour Extraction. CoRR abs/1703.01605 (2017) - 2016
- [j5]Chengjiang Long, Gang Hua, Ashish Kapoor:
A Joint Gaussian Process Model for Active Visual Recognition with Expertise Estimation in Crowdsourcing. Int. J. Comput. Vis. 116(2): 136-160 (2016) - 2015
- [c6]Chengjiang Long, Gang Hua:
Multi-class Multi-annotator Active Learning with Robust Gaussian Process for Visual Recognition. ICCV 2015: 2839-2847 - 2014
- [c5]Chengjiang Long, Xiaoyu Wang
Accurate Object Detection with Location Relaxation and Regionlets Re-localization. ACCV (1) 2014: 260-275 - 2013
- [c4]Gang Hua, Chengjiang Long, Ming Yang, Yan Gao:
Collaborative Active Learning of a Kernel Machine Ensemble for Recognition. ICCV 2013: 1209-1216 - [c3]Chengjiang Long, Gang Hua, Ashish Kapoor:
Active Visual Recognition with Expertise Estimation in Crowdsourcing. ICCV 2013: 3000-3007 - 2011
- [j4]Chengjiang Long, Jianhui Zhao, Ravindra S. Goonetilleke
A New Region Growing Algorithm for Triangular Mesh Recovery from Scattered 3D Points. Trans. Edutainment 6: 237-246 (2011) - 2010
- [j3]Yihua Ding, Jianhui Zhao, Ravindra S. Goonetilleke
An automatic method of measuring foot girths for custom footwear using local RBF implicit surfaces. Int. J. Comput. Integr. Manuf. 23(6): 574-583 (2010) - [j2]Zhiyong Yuan, Yuanyuan Zhang, Jianhui Zhao, Yihua Ding, Chengjiang Long, Lu Xiong, Dengyi Zhang, Guozhong Liang:
Real-time Simulation for 3D Tissue Deformation with CUDA Based GPU Computing. J. Convergence Inf. Technol. 5(4): 109-119 (2010) - [j1]Yihua Ding, Jianhui Zhao, Zhiyong Yuan, Yuanyuan Zhang, Chengjiang Long, Lu Xiong:
Constrained Surface Recovery Using RBF and Its Efficiency Improvements. J. Multim. 5(1): 55-62 (2010) - [c2]Chengjiang Long, Jianhui Zhao, Shizhong Han, Lu Xiong, Zhiyong Yuan, Jing Huang, Weiwei Gao:
Transmission: A New Feature for Computer Vision Based Smoke Detection. AICI (1) 2010: 389-396
2000 – 2009
- 2007
- [c1]Yihua Ding, Jianhui Zhao, Zhixu Li, Ansong Yao, Li Rao, Chengjiang Long:
Improvements on Electric Field Based Curve Reconstruction from Unorganized Points. IITA 2007: 218-221
Coauthor Index
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