Chengjiang Long 龙成江

Ph.D., Research Scientist
Meta Reality Labs (formerly Facebook Reality Labs)
322 Airport Blvd
Burlingame, CA 94010

Email: cjfykx AT gmail.com




 

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Research Interests

  • Applications in the field of Computer Vision, Computer Graphics, Multimedia, Machine Learning, and Artificial Intelligence
  • People & Perception AI
    • Integration of Human and Machine Intelligence (e.g., collaborative active learning)
    • Human Sensing from Unconstrained Images and Videos (e.g., facial expression, motion analysis, and trajectory prediction)
    • Object, Scene Recognition and Segmentation
    • Camera Pose Estimation and Relocalization
  • Generative AI
    • Generalized Fundation Modeling for Image, Video and 3D Assets Generation, etc.
    • Zero-Shot, Few-Shot, Domain Adaptation, Meta-Learning for Efficient Personalization Applications.
    • Explore Latent Space to Ensure Better Control Signals for Generative Applications (e.g., Disentanglement, ID-Preserving).
    • 2D & 3D Digital Human and Related Applications (e.g., Talking Face, Virtual Try-On)
    • Photo-Realistic and Cartoon-Style Avatar Generation (e.g., Face, Hair, Head, Hand, and Full-Boday Avatars)
    • Neural Rendering Related Various Techniques and Applications (e.g., Nerf and Gaussian Splatting)
    • Shadow and Illumination Modeling (e.g., Shadow Removal, Delighting, Relighting, and Shadow Generating)
    • Multimodal Fusion, Text-to-Image Generation, and Image/Video Caption
    • Style Transfer and Controllable Person Image Synthesis
    • Image and Video Recovery and Enhancement (e.g., Super Resolution)
  • Personalized Information Retrieval and Recommendation System
    • Multi-Modality Content Understanding
    • User Behavior and Engagement Analysis
    • Retrieval, Ranking, and Post-Ranking Modeling and Strategies
    • Item & User Coldstart Strategies
    • Other Recommendation Strategies Related Topics
  • Others
    • Explainable Artificial Intelligence
    • Other Related Applications

Book and Book Chapters

  • Chengjiang Long, Arslan Basharat, and Anthony Hoogs. "Video Frame Deletion and Duplication", in the book Multimedia Forensics (Chapter 13), edited by Husrev Taha Sencar, Luisa Verdoliva, and Nasir Memon, Springer, 2022.

Selected Publications

The following are selected journal and conference papers from 84 co-author papers, highlighting 1 TOG, 2 T-PAMI, 1 IJCV, 2 TVCG, 1 TIP, 2 T-MM, 1 SIGGRAPH Asia, 10 CVPR, 8 ICCV, 3 ECCV, 6 AAAI, 3 ACM MM, 1 NeurIPS, 1 TCSVT, 1 PR, 1 TOMM, 1 CAGD, 3 CGF, 1 RA-L, 2 WACV, 2 ICME, 1 ACCV and 1 ICTAI with 45 1st/2nd-author papers, in which the 2nd authorship indicates the 1st author as my advisors I worked with or as my students/interns/colleagues I closely supervised. For the full list, you can find it in My Google Scholar.

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Incorporating Test-Time Optimization into Training with Dual Networks for Human Mesh Recovery

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

Proceedings of the thirty-eighth Annual Conference on Neural Information Processing Systems (NeurIPS), Vancouver, Canada, Dec 9-15, 2024.

[PDF] [Supp] [BibTeX] (Top Conference in Machine Learning, acceptance rate: 25.8%)

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Exploring Matching Rates: From Key Point Selection to Camera Relocalization

Hu Lin, Chengjiang Long, Yifeng Fei, qianchen xia, Erwei Yin, Baocai Yin, and Xin Yang

Proceedings of the 32nd ACM Multimedia Conference (ACM MM), Melbourne, Australia, Oct 28-Nov 1, 2024.

[PDF] [Supp] [BibTeX] (Top Conference in Multimedia, acceptance rate: 3.97%) (Oral Paper!)

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Motion Keyframe Interpolation for Any Human Skeleton using Point Cloud-based Human Motion Data Homogenisation

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

Proceedings of the European Conference on Computer Vision (ECCV), MiCo Milano, Milan, Italy, Sep 28-Oct 4, 2024.

[PDF] [Supp] [BibTeX] (Top 3 Conference in Computer Vision, acceptance rate: 18.95%)

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Multi-RoI Human Mesh Recovery with Camera Consistency and Contrastive Losses

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

Proceedings of the European Conference on Computer Vision (ECCV), MiCo Milano, Milan, Italy, Sep 28-Oct 4, 2024.

[PDF] [Supp] [BibTeX] (Top 3 Conference in Computer Vision, acceptance rate: 18.95%)

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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, and Hongmin Cai

Proceedings of the European Conference on Computer Vision (ECCV), MiCo Milano, Milan, Italy, Sep 28-Oct 4, 2024.

[PDF] [Supp] [BibTeX] (Top 3 Conference in Computer Vision, acceptance rate: 18.95%)

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Single-Image SVBRDF Estimation Using Auxiliary Renderings as Intermediate Targets

Yongwei Nie, Jiaqi Yu, Chengjiang Long, Qing Zhang, Guiqing Li, and Hongmin Cai

IEEE Transactions on Visualization and Computer Graphics (TVCG), 2024.

[PDF] [BibTeX] (Top 2 journal in Computer Graphics, IF: 5.226)

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REFA: Real-time Egocentric Facial Animations for Virtual Reality

Chengjiang Long as a part of Meta VR Face Tracking Team

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshop and Competition on Affective Behavior Analysis in-the-wild (CVPR-W), Seattle, WA, Jun 18, 2024.

[PDF] [Supp] [BibTeX]

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CoreRec: A Counterfactual Correlation Inference for Next Set Recommendation

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

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI), Vancouver, BC, Canada, Feb 20-27, 2024.

[PDF] [BibTeX] (Top 1 Conference in Artificial Intelligence, acceptance rate: 23.75%)

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Disentangled Representation Learning for Controllable Person Image Generation

Wenju Xu, Chengjiang Long, Yongwei Nie, and Guanghui Wang

IEEE Transactions on Multimedia (T-MM), 2024.

[PDF] [BibTeX] (Top 1 Journal in Multimedia, IF: 6.051)

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Representing Multimodal Behaviors with Mean Location for Pedestrian Trajectory Prediction

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

IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2023.

[PDF] [BibTeX] (Top 1 journal in Artificial Intelligence, IF: 24.314)

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Learning Dynamic Style Kernels for Artistic Style Transfer

Wenju Xu, Chengjiang Long, and Yongwei Nie

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Vancouver, Canada, June 18-22, 2023.

[PDF] [Supp] [Poster] [BibTeX] (Top 3 Conference in Computer Vision, acceptance rate: 25.78%)

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

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Vancouver, Canada, June 18-22, 2023.

[PDF] [Supp] [Poster] [BibTeX] (Top 3 Conference in Computer Vision, acceptance rate: 25.78%)

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Continuous Intermediate Token Learning with Implicit Motion Manifold for Keyframe based Motion Interpolation

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Vancouver, Canada, June 18-22, 2023.

[PDF] [Supp] [Poster] [BibTeX] (Top 3 Conference in Computer Vision, acceptance rate: 25.78%)

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

Ling Zhang, Chengjiang Long, Xiaolong Zhang, and Chunxia Xiao

ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), 19(3), 2023.

[PDF] [BibTeX] (IF: 3.144)

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Explore Contextual Information for 3D Scene Graph Generation

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

IEEE Transactions on Visualization and Computer Graphics (TVCG), 2022.

[PDF] [Supp] [BibTeX] (Top 2 journal in Computer Graphics, IF: 5.226)

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

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

Proceedings of the 30th ACM International Conference on Multimedia (ACM MM), Lisbon, Portugal, Oct 10-14, 2022.

[PDF] [Supp] [BibTeX] (Top 1 Conference in Multimeida, acceptance rate: 27.9%)

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Deep Image-based Illumination Harmonization

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), New Orleans, Louisiana, June 19-24, 2022.

[PDF] [Supp] [BibTeX] (Top 3 Conference in Computer Vision, acceptance rate: 25%)

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

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), New Orleans, Louisiana, June 19-24, 2022.

[PDF] [Supp] [BibTeX] (Top 3 Conference in Computer Vision, acceptance rate: 25%)

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Video Shadow Detection via Spatio-Temporal Interpolation Consistency Training

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), New Orleans, Louisiana, June 19-24, 2022.

[PDF] [Supp] [BibTeX] (Top 3 Conference in Computer Vision, acceptance rate: 25%)

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Social Interpretable Tree for Pedestrian Trajectory Prediction

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

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI), Vancouver, BC, Canada, Feb 22-Mar 1, 2022.

[PDF] [Poster] [BibTeX] (Top 1 Conference in Artificial Intelligence, acceptance rate: 15%)

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Complementary Attention Gated Network for Pedestrian Trajectory Prediction

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

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI), Vancouver, BC, Canada, Feb 22-Mar 1, 2022.

[PDF] [BibTeX] (Top 1 Conference in Artificial Intelligence, acceptance rate: 15%)

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CPRAL: Collaborative Panoptic-Regional Active Learning for Semantic Segmentation

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

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI), Vancouver, BC, Canada, Feb 22-Mar 1, 2022.

[PDF] [BibTeX] (Top 1 Conference in Artificial Intelligence, acceptance rate: 15%)

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DDBN: Dual Detection Branch Network for Semantic Diversity Predictions

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

Pattern Recognition (PR), Volume 122, 2022.

[PDF] [BibTeX] (Accepted, IF: 7.74)

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Monte Carlo Denoising via Auxiliary Feature Guided Self-Attention

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

ACM Transactions on Graphics (TOG), 40(6), 2021. Proceedings of the ACM SIGGRAPH Conference and Exhibition in Asia (SIGGRAPH Asia), Tokyo, Japan, Dec 14-17, 2021.

[PDF] [Supp] [Github] [BibTeX] (Top 1 journal in Computer Graphics, IF: 6.495)

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

Wenju Xu, Chengjiang Long, Ruisheng Wang, and Guanghui Wang

Proceedings of the IEEE International Conference on Computer Vision (ICCV), Montreal, Canada, Oct 11-17, 2021.

[PDF] [Supp] [Poster] [Presentation] [Github] [BibTeX] (Top 3 Conferences in Computer Vision, acceptance rate: 3%) (Oral Paper!)

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CANet: A Context-Aware Network for Shadow Removal

Zipei Chen, Chengjiang Long, Ling Zhang, and Chunxia Xiao

Proceedings of the IEEE International Conference on Computer Vision (ICCV), Montreal, Canada, Oct 11-17, 2021.

[PDF] [Supp] [Poster] [Presentation] [Github] [BibTeX] (Top 3 Conferences in Computer Vision, acceptance rate: 25.9%)

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

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

Proceedings of the IEEE International Conference on Computer Vision (ICCV), Montreal, Canada, Oct 11-17, 2021.

[PDF] [Supp] [Poster] [Presentation] [Github] [BibTeX] (Top 3 Conferences in Computer Vision, acceptance rate: 3%) (Oral Paper!)

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

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

Proceedings of the IEEE International Conference on Computer Vision (ICCV), Montreal, Canada, Oct 11-17, 2021.

[PDF] [Supp] [Poster] [Presentation] [Github] [BibTeX] (Top 3 Conferences in Computer Vision, acceptance rate: 25.9%)

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

Xinzhi Dong, Chengjiang Long, Wenju Xu, and Chunxia Xiao

Proceedings of the 29th ACM International Conference on Multimedia (ACM MM), Chengdu, Sichuan, China, Oct 20-24, 2021.

[PDF] [Supp] [Poster] [Github] [BibTeX] (Top 1 Conference in Multimedia, acceptance rate: 27.9%)

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SGCN: Sparse Graph Convolution for Pedestrian Trajectory Prediction

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Nashville, TN, USA, Jun 19-26, 2021.

[PDF] [Supp] [Poster] [Github] [BibTeX] (Top 3 Conferences in Computer Vision, acceptance rate: 27%)

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

Tao Hu, Chengjiang Long, and Chunxia Xiao

IEEE Transactions on Image Processing (TIP), 30, 3499-3512, 2021.

[PDF] [BibTeX] (Top 1 Journal in Image Processing, IF: 9.34)

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A Hybrid Attention Mechanism for Weakly-Supervised Temporal Action Localization

Ashraful Islam, Chengjiang Long, and Richard Radke

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI), Vancouver, Canada, Feb 2-9, 2021.

[PDF] [Supp] [Poster] [BibTeX] (Top 1 Conference in Artificial Intelligence, acceptance rate: 21%)

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A Two-Stage Attentive Network for Single Image Super Resolution

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

IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), 2021.

[PDF] [BibTeX] (Top Journal in Multimedia, IF: 4.13)

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Luminance Attentive Networks for HDR Image and Panorama Reconstruction

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

Computer Graphics Forum (CGF), 40(7), 2021. Proceedings of Pacific Graphics (PG), Wellington, New Zealand, Oct 18 – 21, 2020&2021.

[PDF] [Supp] [BibTeX] (Top Journal in Computer Graphics, IF: 2.116)

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Scene Inference for Object Illumination Editing

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

arXiv, 2021.

[PDF] [BibTeX] (arXiv:2108.00150)

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CRD-CGAN: Category-Consistent and Relativistic Constraints for Diverse Text-to-Image Generation

Tao Hu, Chengjiang Long, and Chunxia Xiao

arXiv, 2021.

[PDF] [BibTeX] (arXiv:2107.13516)

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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, and Yueting Zhuang

IEEE Transactions on Multimedia (T-MM), 2020.

[PDF] [BibTeX] (Top 1 Journal in Multimedia, IF: 6.051)

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

Ashraful Islam, Chengjiang Long, Arslan Basharat, and Anthony Hoogs

In Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, WA, USA, Jun 14-19, 2020.

[PDF] [Supp] [Presentation] [Poster] [BibTeX] (Top 3 Conference in Computer Vision, acceptance rate: 22%) (The Full-Score Paper!)

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

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

In Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, WA, USA, Jun 14-19, 2020.

[PDF] [Supp] [Presentation] [Poster] [Github] [BibTeX] (Top 3 Conferences in Computer Vision, acceptance rate: 22%)

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

Ling Zhang, Chengjiang Long, Xiaolong Zhang, and Chunxia Xiao

In Proc. AAAI Conference on Artificial Intelligence (AAAI), New York, NY, USA, Feb 7-12, 2020.

[PDF] [Spotlight] [Poster] [Github] [BibTeX] (Top 1 Conference in Artificial Intelligence, acceptance rate: 20.6%, arXiv:1911.09178)

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Multi-Stage Point Completion Network with Critical Set Supervision

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

Computer-Aided Geometric Design (CAGD), 82, p.101925, 2020. Proceedings of International Conference on Geometric Modeling and Processing (GMP), 2020.

[PDF] [BibTeX] (Top Journal in Computer Graphics, IF: 1.23)

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

Ling Zhang, Chengjiang Long, Qingan Yuan, Xiaolong Zhang, and Chunxia Xiao

Computer Graphics Forum (CGF), 39(7), 483-494, 2020. Proceedings of Pacific Graphics (PG), Wellington, New Zealand, Oct 18 – 21, 2020&2021.

[PDF] [BibTeX] (Top Journal in Computer Graphics, IF: 2.116)

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Multi-Context and Enhanced Reconstruction Network for Single Image Super Resolution

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

In Proc. IEEE International Conference on Multimedia & Expo (ICME), London, United Kingdom, Jun 6-10, 2020.

[PDF] [Supp] [BibTeX] (Acceptance rate: 30%)

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

Bhavan Vasu and Chengjiang Long

In Proc. IEEE Winter Conf. on Applications of Computer Vision (WACV), Snowmass Village, CO, USA, Mar 2-5, 2020.

[PDF] [Presentation] [YouTube] [Poster] [Github] [BibTeX] (Acceptance rate: 34.5%, arXiv:1912.08387)

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

Bin Ding, Chengjiang Long, Ling Zhang, and Chunxia Xiao

In Proc. IEEE International Conf. on Computer Vision (ICCV), Seoul, South Korea, Oct 27-Nov 2, 2019.

[PDF] [Poster] [BibTeX] (Top 3 Conferences in Computer Vision, acceptance rate: 25%. arXiv:1908.01323)

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Shadow Inpainting and Removal Using Generative Adversarial Networks with Slice Convolutions

Jinjiang Wei, Chengjiang Long, Hua Zou, and Chunxia Xiao

Computer Graphics Forum (CGF), 38(7), 381-392, 2019. Proceedings of Pacific Graphics (PG), Seoul, Korea, Oct 14-17, 2019.

[PDF] [Presentation] [BibTeX] (Top Journal in Computer Graphics, IF: 2.116)

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Automated Pig Counting Using Deep Learning

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

Computers and Electronics in Agriculture, 2019.

[PDF] [BibTeX] (Top Journal in Agriculture, IF: 3.858)

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Deep Neural Networks In Fully Connected CRF For Image Labeling With Social Network Metadata

Chengjiang Long, Roddy Collins, Eran Swears, and Anthony Hoogs

In Proc. IEEE Winter Conf. on Applications of Computer Vision (WACV), Waikoloa Village, HI, USA, Jan 7-11, 2019.

[PDF] [Supp] [Presentation] [YouTube] [Poster] [BibTeX] (Acceptance rate: 36.0%, arXiv:1801.09108)

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

Chengjiang Long, Arslan Basharat, and Anthony Hoogs

In Proc. IEEE Conference on Computer Vision and Pattern Recognition Workshop (CVPRW) on Media Forensics, Long Beach, CA, USA, June 17, 2019.

[PDF] [Spotlight] [Poster] [BibTeX] (arXiv:1811.10762v2)

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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, and Kristin Dana

In Proc. IEEE Conference on Computer Vision and Pattern Recognition Workshop (CVPRW) on EARTHVISION, Long Beach, CA, USA, June 17, 2019.

[PDF] [Poster] [Project] [Github] [BibTeX] (The Best Paper Award!)

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

Tao Hu, Chengjiang Long, Leheng Zhang, and Chunxia Xiao

arXiv 2019.

[PDF] [BibTeX] (arXiv:1907.11811v2)

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Collaborative Active Visual Recognition from Crowds: A Distributed Ensemble Approach

Gang Hua, Chengjiang Long, Ming Yang, and Yan Gao

IEEE Transaction on Pattern Analysis and Machine Intelligence (T-PAMI), 40(3): 582-594, 2018.

[PDF] [Datasets] [BibTeX] (Top 1 journal in Artificial Intelligence, IF: 24.314)

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How Does A Camera Look At One 3D CAD Object?

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

In Proc. IEEE International Conference on Tools with Artificial Intelligence (ICTAI), Boston, MA, USA, Nov 6-8, 2017.

[PDF] [Presentation] [BibTeX] (Acceptance rate: 36.7%)

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Correlational Gaussian Processes for Cross-domain Visual Recognition

Chengjiang Long and Gang Hua

In Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Honolulu, Hawaii, USA, July 21-26, 2017.

[PDF] [Poster] [BibTeX] (Top 3 Conferences in Computer Vision, acceptance rate: 29.2%)

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

Chengjiang Long, Eric Smith, Arslan Basharat, and Anthony Hoogs

In Proc. IEEE Conference on Computer Vision and Pattern Recognition Workshop (CVPRW) on Media Forensics, Honolulu, Hawaii, USA, July 26, 2017.

[PDF] [Presentation] [BibTeX]

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

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

arXiv, 2017.

[PDF] [BibTeX] (arXiv:1703.01605)

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

Chengjiang Long, Gang Hua, and Ashishi Kapoor

International Journal of Computer Vision (IJCV), 116(2): 136®C160, 2016.

[PDF] [Datasets] [BibTeX] (Top 1 Journal in Computer Vision, IF: 5.698)

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

Chengjiang Long and Gang Hua

In Proc. IEEE International Conf. on Computer Vision (ICCV), Santiago, Chile, Dec 13-16, 2015.

[PDF] [Poster] [Spotlight] [BibTeX] (Top 3 Conferences in Computer Vision, acceptance rate: 30.92%)

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Accurate Object Detection with Location Relaxation and Regionlets Re-localization

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

In Proc. The 12th Asian Conf. on Computer Vision (ACCV), Singapore, Nov 1-5, 2014.

[PDF] [Poster] [BibTeX] (Acceptance rate: 27% )

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Active Visual Recognition with Expertise Estimation in Crowdsourcing

Chengjiang Long, Gang Hua, and Ashish Kapoor

In Proc. IEEE International Conf. on Computer Vision (ICCV), Sydney, Australia, Dec 3-6, 2013.

[PDF] [Poster] [Datasets] [BibTeX] (Top 3 Conferences in Computer Vision, acceptance rate: 27.87% )

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Collaborative Active Learning of a Kernel Machine Ensemble for Recognition

Gang Hua, Chengjiang Long, Ming Yang, and Yan Gao

In Proc. IEEE International Conf. on Computer Vision (ICCV), Sydney, Australia, Dec 3-6, 2013.

[PDF] [Poster] [Datasets] [BibTeX] (Top 3 Conferences in Computer Vision, acceptance rate: 27.87% )

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A New K Nearest Neighbors Search Algorithm Using Cell Grids for 3D Scattered Point Cloud

Jianhui Zhao, Chengjiang Long, Shuping Xiong, Cheng Liu, and Zhiyong Yuan

ELEKTRONIKA IR ELEKTROTECHNIKA, 20(1):81-87, 2014.

[PDF] [BibTeX] (SCI journal)

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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, and Yuanyuan Zhang

Transactions on Edutainment VI, LNCS, 6758: 237®C246, 2011.

[PDF] [BibTeX]

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Transmission: A New Feature for Computer Vision Based Smoke Detection

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

AICI 2010, Part I, Lecture Notes in Artificial Intelligence, 6319: 389-396, 2010

[PDF] [BibTeX]

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Improvements on IPD Algorithm for Triangular Mesh Reconstruction from 3D Point Cloud

Chengjiang Long, Jianhui Zhao, Zhiyong Yuan, Lu Xiong, Guozhong Liang, and Xuangmin Jiang

In Proc. MINES, Pages 305-308, 2009.

[PDF] [BibTeX]

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A New K-Nearest Neighbors Search Algorithm Based on 3D Cell Grids

Jianhui Zhao, Chengjiang Long, Yihua Ding, and Zhiyong Yuan

Geomatics and Information Science of Wuhan University (in Chinese), 34(5):615-618, 2009.

[PDF] [BibTeX]





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