Recommended citation: Pei Yang, Niqi Liu, Xinge Liu, Yezhi Shu, Wenqi Ji, Ziqi Ren, Jenny Sheng, Minjing Yu, Ran Yi, Dan Zhang & Yong-Jin Liu. A Multimodal Dataset for Mixed Emotion Recognition. Scientific Data. 11, Article number: 847 (2024).
Recommended citation: Ran Zuo, Haoxiang Hu, Xiaoming Deng, Cangjun Gao, Zhengming Zhang, Yu-Kun Lai, Cuixia Ma*, Yong-Jin Liu*, Hongan Wang. SceneDiff: Generative Scene-level Image Retrieval with Text and Sketch using Diffusion Models. IJCAI, 2024.
Recommended citation: Mengfei Xia, Yujun Shen, Ceyuan Yang, Ran Yi, Wenping Wang, Yong-Jin Liu. Proceedings of the 41st International Conference on Machine Learning, PMLR 235:54133-54155, 2024.
Recommended citation: Minjing Yu, Xinge Liu, Chao Zhou, Xinxin Du, Jenny Sheng, Yong-Jin Liu*.Exploring the Influence of Profile Picture Styles on Empathy and Identity Recognition in Social Media. IEEE Transactions on Computational Social Systems, ISSN 2329-924X.
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Recommended citation: Ruoyu Fan, Wang Zhao, Matthieu Lin, Qi Wang,Yong-Jin Liu*and Wenping Wang. Generalizable Thermal-based Depth Estimation via Pre-trained Visual Foundation Model. ICRA 2024.
Recommended citation: Nan Ma, Mohan Wang, Yiheng Han*,Yong-Jin Liu.FF-LOGO: Cross-Modality Point Cloud Registration with Feature Filtering and Local to Global Optimization.ICRA 2024.
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Recommended citation: Yi, R., Liu, YJ., Lai, YK., Rosin, P.L. (2024). Generating Artistic Portrait Drawings from Images. In: Lyu, Z. (eds) Applications of Generative AI. Springer, Cham. https://doi.org/10.1007/978-3-031-46238-2_22
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Recommended citation: Andrew Zhao, Daniel Huang, Quentin Xu, Matthieu Lin,Yong-Jin Liu*, Gao Huang.ExpeL: LLM Agents Are Experiential Learners.AAAI 2024.
Recommended citation: Minjing Yu, Ting Liu, Jeffrey Too Chuan Tan,Yong-Jin Liu*.An Easy-to-Build Modular Robot Implementation of Chain-Based Physical Transformation for STEM Education.CADGraphics 2023.
Recommended citation: Zhiyao Sun, Yu-Hui Wen, Tian Lv, Yanan Sun, Ziyang Zhang, Yaoyuan Wang, Yong-Jin Liu*. Continuously Controllable Facial Expression Editing in Talking Face Videos IEEE Transactions on Affective Computing.DOI: 10.1109/TAFFC.2023.3334511
Recommended citation: Han Chen, Qi Wang, Kailin Xie, Liang Lei, Matthieu Gaetan Lin, Tian lv, Yong-Jin Liu*, Jiebo Luo.SD-FSOD: Self-Distillation Paradigm via Distribution Calibration for Few-Shot Object Detection. IEEE Transactions on Circuits and Systems for Video Technology,Volume: 34, Issue: 7, On Page(s): 5963-5976,Print ISSN: 1051-8215,doi: 10.1109/TCSVT.2023.3343397.
Recommended citation: Fang Liu, Pei Yang, Yezhi Shu, Fei Yan, Guanhua Zhang, Yong-Jin Liu*, Emotion Dictionary Learning with Modality Attentions for Mixed Emotion Exploration in IEEE Transactions on Affective Computing, doi: 10.1109/TAFFC.2023.3334520.
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Recommended citation: Yuze He, Yushi Bai, Matthieu Lin, Wang Zhao, Yubin Hu, Jenny Sheng, Ran Yi, Juanzi Li,**Yong-Jin Liu***. T3Bench: Benchmarking Current Progress in Text-to-3D Generation. arXiv 2023, https://doi.org/10.48550/arXiv.2310.02977.
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Recommended citation: Aihua Mao, Yaqi Duan, Yu-Hui Wen, Zihui Du, Hongmin Cai, Yong-Jin Liu*. Invertible Residual Neural Networks with Conditional Injector and Interpolator for Point Cloud Upsampling. IJCAI 2023.
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Recommended citation: Yong-Jin Liu, Baodong Wang, Lin Gao, Junli Zhao*, Ran Yi, Minjing Yu, Zhenkuan Pan, Xianfeng Gu*. 4D facial analysis: A survey of datasets, algorithms and applications. Computers & Graphics 115(2023) 423-445.
Recommended citation: Yubin Hu, Yuze He, Yanghao Li, Jisheng Li1 Yuxing Han, Jiangtao Wen, Yong-Jin Liu*.Efficient Semantic Segmentation by Altering Resolutions for Compressed Videos. CVPR 2023.
Recommended citation: Aihua Mao, Zhi Yang, Wanxin Chen, Ran Yi, Yong-Jin Liu*. Complete 3D Relationships Extraction Modality Alignment Network for 3D Dense Captioning. IEEE Transactions on Visualization and Computer Graphics(2023).
Recommended citation: Chao Zhou, Yulong Bian, Shu Zhang, Ziyang Zhang, Yaoyuan Wang, Yong-Jin Liu*. Exploring User Experience and Performance of A Tedious Task Through Human-Agent Relationship. Scientific Reports, 13, Article number: 2995 (2023).
Recommended citation: Mengfei Xia, Yezhi Shu, Yuji Wang, Yu-Kun Lai, Qiang Li, Pengfei Wan, Zhongyuan Wang, Yong-Jin Liu*. FEditNet: Few-shot Editing of Latent Semantics in GAN Spaces. AAAI 2023.
Recommended citation: Yuze He, Yubin Hu, Wang Zhao, Jisheng Li, Yong-Jin Liu*, Yuxing Han, Jiangtao Wen. DarkFeat: Noise-Robust Feature Detector and Descriptor for Extremely Low-Light RAW Images. AAAI, 2023.
Recommended citation: Zhipeng Yang, Yu-Hui Wen, Shu-Yu Chen, Xiao Liu, Yuan Gao, Yong-Jin Liu, Lin Gao, Hongbo Fu. Keyframe Control of Music-driven 3D Dance Generation. In: IEEE Transactions on Visualization and Computer Graphics. 2023.
Recommended citation: Zhengming Zhang, Xiaoming Deng, Jinyao Li, Yu-Kun Lai, Cuixia Ma, Yong-Jin Liu*, Hongan Wang.Stroke-based semantic segmentation for scene-level free-hand sketches Vis. Comput. 39(12): 6309-6321 (2023)
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Recommended citation: Wang Zhao, Shaohui Liu, Hengkai Guo, Wenping Wang, Yong-Jin Liu*. ParticleSfM Exploiting Dense Point Trajectories for Localizing Moving Cameras in the Wild. Computer Vision–ECCV 2022: 17th European Conference, Tel Aviv, Israel, October 23–27, 2022, Proceedings, Part XXXII. Cham: Springer Nature Switzerland, 2022: 523-542.
Recommended citation: Aihua Mao, Zihui Du, Yu-hui Wen*, Jun Xuan, Yong-Jin Liu*. PD-Flow: A Point Cloud Denoising Framework with Normalizing Flows. Computer Vision–ECCV 2022: 17th European Conference, Tel Aviv, Israel, October 23–27, 2022, Proceedings, Part III. Cham: Springer Nature Switzerland, 2022: 398-415.
Recommended citation: Andrew Zhao, Matthieu Gaetan Lin, Yangguang Li, Yong-Jin Liu*, Gao Huang*. A Mixture of Surprises for Unsupervised Reinforcement Learning. Neural Information Processing Systems (NeurIPS) 2022, https://doi.org/10.48550/arXiv.2210.06702
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Recommended citation: Aihua Mao, Zhi Yang, Ken Lin, Jun Xuan, Yong-Jin Liu*, Positional Attention Guided Transformer-Like Architecture for Visual Question Answering IEEE Transactions on Multimedia, vol. 25, pp. 6997-7009, 2023, doi: 10.1109/TMM.2022.3216770.
Recommended citation: Aihua Mao, Zhi Yang, Ken Lin, Jun Xuan, Yong-Jin Liu*. Positional Attention Guided Transformer-like Architecture for Visual Question Answering. IEEE Transactions on Multimedia, 2022, doi: 10.1109/TMM.2022.3216770.
Recommended citation: Ran Yi, Rui Zeng, Yang Weng, Minjing Yu, Yu-Kun Lai, Yong-Jin Liu*. Lesion region segmentation via weakly supervised learning. Quant. Biol., 2022, 10(3): 239‒252 https://doi.org/10.15302/J-QB-021-0272.
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Recommended citation: Ran Yi, Zipeng Ye, Zhiyao Sun, Juyong Zhang, Guoxin Zhang, Pengfei Wan, Hujun Bao, Yong-Jin Liu*. Predicting Personalized Head Movement from Short Video and Speech Signal. IEEE Transactions on Multimedia, 2022, doi: 10.1109/TMM.2022.3207606.
Recommended citation: Aihua Mao, Wenbo Dong, Chaoqiang Xie, Huamin Wang, Yong-Jin Liu*, Guiqing Li, Ying He, Yarn-Level Simulation of Hygroscopicity of Woven Textiles, IEEE Transactions on Visualization and Computer Graphics, 2022
Recommended citation: Aihua Mao, Zihui Du, Junhui Hou, Yaqi Duan, Yong-Jin Liu, Ying He. PU-Flow: a Point Cloud Upsampling Network with Normalizing Flows. IEEE Transactions on Visualization and Computer Graphics, 2022, doi: 10.1109/TVCG.2022.3196334.
Recommended citation: Fang Liu, Xiaoming Deng, Jiancheng Song, Yu-Kun Lai, Yong-Jin Liu*, Hao Wang, Cuixia Ma, Shengfeng Qin, and Hongan Wang. 2022. SketchMaker: Sketch Extraction and Reuse for Interactive Scene Sketch Composition. ACM Trans. Interact. Intell. Syst. 12, 3, Article 23 (September 2022), 26 pages. https://doi.org/10.1145/3543956
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Recommended citation: Yiheng Han, Irvin Haozhe Zhan, Wang Zhao, Yong-Jin Liu*.A Double Branch Next-Best-View Network and Novel Robot System for Active Object Reconstruction.2022 IEEE International Conference on Robotics and Automation (ICRA).
Recommended citation: Fang Liu, Xiaoming Deng, Changqing Zou, Yu-Kun Lai, Keqi Chen, Ran Zuo, Cuixia Ma, Yong-Jin Liu*, Hongan Wang. SceneSketcher-v2: Fine-Grained Scene-Level Sketch-Based Image Retrieval Using Adaptive GCNs. IEEE Transactions on Image Processing, vol. 31, pp. 3737-3751, 2022, doi: 10.1109/TIP.2022.3175403.
Recommended citation: Yu-Hui Wen, Lin Gao, Hongbo Fu, Fang-Lue Zhang, Shihong Xia, Yong-Jin Liu*. Motif-GCNs with Local and Non-Local Temporal Blocks for Skeleton-Based Action Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 45, no. 2, pp. 2009-2023, 1 Feb. 2023, doi: 10.1109/TPAMI.2022.3170511.
Recommended citation: Paul L. Rosin, Yu-Kun Lai, David Mould, Ran Yi, Itamar Berger, Lars Doyle, Seungyong Lee, Chuan Li, Yong-Jin Liu, Amir Semmo, Ariel Shamir, Minjung Son & Holger Winnemöller, NPRportrait 1.0: A three-level benchmark for non-photorealistic rendering of portraits, Computational Visual Media, 2022, Vol. 8, No. 3, 445-465
Recommended citation: Yezhi Shu, Pei Yang, Niqi Liu, Shu Zhang, Guozhen Zhao, Yong-Jin Liu*. Emotion Distribution Learning Based on Peripheral Physiological Signals. IEEE Transactions on Affective Computing. DOI (identifier) 10.1109/TAFFC.2022.3163609
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Recommended citation: Ran Yi, Yong-Jin Liu*, Yu-Kun Lai, Paul Rosin. Quality Metric Guided Portrait Line Drawing Generation from Unpaired Training Data. IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 45, no. 1, pp. 905-918, 1 Jan. 2023, doi: 10.1109/TPAMI.2022.3147570.
Recommended citation: Zipeng Ye; Mengfei Xia; Ran Yi; Juyong Zhang; Yu-Kun Lai; Xuwei Huang; Guoxin Zhang; Yong-Jin Liu*. Audio-Driven Talking Face Video Generation with Dynamic Convolution Kernels. IEEE Transactions on Multimedia. DOI (identifier) 10.1109/TMM.2022.3142387
Recommended citation: Shengfa Wang, Yu Jiang, Jiangbei Hu, Xin Fan, Zhongxuan Luo, Yong-Jin Liu, Ligang Liu. Efficient Representation and Optimization of TPMS-Based Porous Structures for 3D Heat Dissipation. Computer-Aided Design, Volume 142, 2022, 103123, ISSN 0010-4485, https://doi.org/10.1016/j.cad.2021.103123.
Recommended citation: Aihua Mao, Canglan Dai, Qing Liu, Jie Yang, Lin Gao, Ying He, Yong-Jin Liu. STD-Net: Structure-preserving and Topology-adaptive Deformation Network for Single-View 3D Reconstruction. IEEE Transactions on Visualization and Computer Graphics, vol. 29, no. 3, pp. 1785-1798, 1 March 2023, doi: 10.1109/TVCG.2021.3131712.
Recommended citation: Kevin Maher, Zeyuan Huang, Jiancheng Song, Xiaoming Deng, Yu-Kun Lai, Cuixia Ma, Hao Wang, Yong-Jin Liu, Hongan Wang. E-ffective: A Visual Analytic System for Exploring the Emotion and Effectiveness of Inspirational Speeches. IEEE Transactions on Visualization and Computer Graphics (Special issue of IEEEE VIS 2021).
Recommended citation: Shengfa Wang, Yu Jiang, Jiangbei Hu, Xin Fan, Zhongxuan Luo, Yong-Jin Liu, Ligang Liu. Efficient Representation and Optimization of TPMS-Based Porous Structures for 3D Heat Dissipation. Computer-Aided Design, Volume 142, January 2022, Article no. 103123.
Recommended citation: Yu-Hui Wen, Zhipeng Yang, Hongbo Fu, Lin Gao, Yanan Sun, Yong-Jin Liu*. Autoregressive Stylized Motion Synthesis with Generative Flow. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR 21), pages 13612-13621, 2021.
Recommended citation: Zipeng Ye, Mengfei Xia, Yanan Sun, Ran Yi, Minjing Yu, Juyong Zhang, Yu-Kun Lai, Yong-Jin Liu*. 3D-CariGAN: An End-to-End Solution to 3D Caricature Generation from Normal Face Photos. IEEE Transactions on Visualization and Computer Graphics, 2021.
Recommended citation: Xiao Dong, Zhonggui Chen, Yong-Jin Liu, Junfeng Yao, Xiaohu Guo. GPU-based Supervoxel Generation with a Novel Anisotropic Metric. IEEE Transactions on Image Processing, Vol. 30, pp. 8847-8860, 2021.
Recommended citation: Long Zeng, Wei Jie Lv, Zhi Kai Dong, Yong-Jin Liu*. PPR-Net++: Accurate 6D Pose Estimation in Stacked Scenarios. IEEE Transactions on Automation Science and Engineering, Vol. 19, No. 4, pp. 3139-3151, 2021.
Recommended citation: Mengfei Xia, Zipeng Ye, Wang Zhao, Ran Yi, Yong-Jin Liu*. Adversarial attack and interpretability of the deep neural network from the geometric perspective(几何视角下深度神经网络的对抗攻击与可解释性研究进展). Scientia Sinica Informationis, Vol. 51, No. 9, pp.1411-1437, in Chinese, 2021.
Recommended citation: Shu Zhang, Xinge Liu, Xuan Yang, Yezhi Shu, Niqi Liu, Dan Zhang, Yong-Jin Liu*. The Influence of Key Facial Features on Recognition of Emotion in Cartoon Faces. Frontiers in Psychology, section Emotion Science, Vol. 12, Article 687974, 2021.
Recommended citation: Yulin Zhang, Guozhen Zhao, Yezhi Shu, Yan Ge, Dan Zhang, Yong-Jin Liu, Xianghong Sun. CPED: A Chinese Positive Emotion Database for Emotion Elicitation and Analysis. IEEE Trans. Affect. Comput. 14(2): 1417-1430 (2023).
Recommended citation: Zipeng Ye, Wenyu Xia, Zhiyao Sun, Ran Yi, Minjing Yu, Yong-Jin Liu*. From traditional rendering to differentiable rendering: theories, methods and applications(从传统渲染到可微渲染：基本原理、方法和应用). Scientia Sinica Informationis, Vol. 51, No. 7, pp.1043-1067, in Chinese, 2021.
Recommended citation: Long Zeng, Weijie Lv, Xinyu Zhang, Yong-Jin Liu*. ParametricNet: 6DoF Pose Estimation Network for Parametric Shapes in Stacked Scenarios. IEEE International Conference on Robotics and Automation (ICRA), 2021.
Recommended citation: Yiheng Han, Jia Pan, Mengfei Xia, Long Zeng, Yong-Jin Liu*. Efficient SE(3) Reachability Map Generation Via Interplanar Integration of Intra-Planar Convolutions. IEEE International Conference on Robotics and Automation (ICRA), 2021.
Recommended citation: Yezhi Shu, Ran Yi, Mengfei Xia, Zipeng Ye, Wang Zhao, Yang Chen, Yu-Kun Lai, Yong-Jin Liu*. GAN-based Multi-Style Photo Cartoonization. IEEE Transactions on Visualization and Computer Graphics, DOI (identifier) 10.1109/TVCG.2021.3067201, 2021.
Recommended citation: Xianye Ben, Yi Ren, Junping Zhang, Su-Jing Wang, Kidiyo Kpalma, Weixiao Meng, Yong-Jin Liu*. Video-based Facial Micro-Expression Analysis: A Survey of Datasets, Features and Algorithms. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021.
Recommended citation: Yudong Guo, Keyu Chen, Sen Liang, Yong-Jin Liu, Hujun Bao, Juyong Zhang. AD-NeRF: Audio Driven Neural Radiance Fields for Talking Head Synthesis. IEEE International Conference on Computer Vision (ICCV 21), pages 5784-5794, 2021.
Recommended citation: Wang Zhao, Shaohui Liu, Yi Wei, Hengkai Guo, Yong-Jin Liu*. A Confidence-based Iterative Solver of Depths and Surface Normals for Deep Multi-view Stereo. IEEE International Conference on Computer Vision (ICCV 21), pages 6168-6177, 2021.
Recommended citation: Guanhua Zhang, Minjing Yu, Yong-Jin Liu*, Guozhen Zhao, Dan Zhang, Wenming Zheng. SparseDGCNN: Recognizing Emotion from Multichannel EEG Signals. IEEE Trans. Affect. Comput. 14(1): 537-548 (2023).
Recommended citation: Guozhen Zhao, Yulin Zhang, Guanhua Zhang, Dan Zhang, Yong-Jin Liu*. Multi-target Positive Emotion Recognition from EEG Signals. IEEE Transactions on Affective Computing, DOI (identifier) 10.1109/TAFFC.2020.3043135, 2021.
Recommended citation: Rui Zeng, Wang Zhao, Yong-Jin Liu*. PC-NBV: A Point Cloud Based Deep Network for Efficient Next Best View Planning. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 20), pages 7050-7057, 2020.
Recommended citation: Yiheng Han, Wang Zhao, Jia Pan, Yong-Jin Liu*. Configuration Space Decomposition for Learning-based Collision Checking in High-DOF Robots. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 20), pages 5678-5684, 2020.
Recommended citation: Qian Fu, Ying He, Fei Hou, Qian Sun, Anxiang Zeng, Zhenchuan Huang, Juyong Zhang, Yong-Jin Liu. Poisson Vector Graphics (PVG)-Guided Face Color Transfer in Videos. IEEE Computer Graphics and Applications, vol. 41, no. 6, pp. 152-163, 1 Nov.-Dec. 2021.
Recommended citation: Xiaobing Du, Cuixia Ma, Guanhua Zhang, Jinyao Li, Yu-Kun Lai, Guozhen Zhao, Xiaoming Deng, Yong-Jin Liu*, Hongan Wang. An Efficient LSTM Network for Emotion Recognition from Multichannel EEG Signals. IEEE Transactions on Affective Computing, DOI (identifier) 10.1109/TAFFC.2020.3013711, 2021.
Recommended citation: Rui Zeng, Yuhui Wen, Wang Zhao, Yong-Jin Liu*. View planning in robot active vision: A survey of systems, algorithms, and applications. Computational Visual Media, Vol. 6, No. 3, pp.225-245, 2020.
Recommended citation: Chenming Wu, Yong-Jin Liu*, Charlie C.L. Wang*. Learning to Accelerate Decomposition for Multi-Directional 3D Printing. IEEE Robotics and Automation Letters, vol. 5, no. 4, pp. 5897-5904, Oct. 2020.
Recommended citation: Ran Yi, Yong-Jin Liu, Yu-Kun Lai, Paul L. Rosin. Unpaired Portrait Drawing Generation via Asymmetric Cycle Mapping. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR 20), pages 8217-8225, 2020.
Recommended citation: Wang Zhao, Shaohui Liu, Yezhi Shu, Yong-Jin Liu. Towards Better Generalization: Joint Depth-Pose Learning without PoseNet. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR 20), pages 9151-9161, 2020.
Recommended citation: Ran Yi, Mengfei Xia, Yong-Jin Liu*, Yu-Kun Lai, Paul L. Rosin. Line Drawings for Face Portraits from Photos using Global and Local Structure based GANs. IEEE Transactions on Pattern Analysis and Machine Intelligence. DOI (identifier) 10.1109/TPAMI.2020.2987931, 2020.
Recommended citation: Zipeng Ye, Ran Yi, Wenyong Gong, Ying He, Yong-Jin Liu. Dirichlet energy of Delaunay meshes and intrinsic Delaunay triangulations. Computer-Aided Design, Vol. 126, article no. 102851, 2020
Recommended citation: Ran Yi, Zipeng Ye, Wang Zhao, Minjing Yu, Yu-Kun Lai, Yong-Jin Liu*. Feature-Aware Uniform Tessellations on Video Manifold for Content-Sensitive Supervoxels. IEEE Transactions on Pattern Analysis and Machine Intelligence. DOI (identifier) 10.1109/TPAMI.2020.2979714, 2020.
Recommended citation: Ran Yi, Zipeng Ye, Juyong Zhang, Hujun Bao, Yong-Jin Liu*. Audio-driven Talking Face Video Generation with Learning-based Personalized Head Pose. CoRR, vol. abs/2002.10137, 2020.
Recommended citation: Zipeng Ye, Ran Yi, Minjing Yu, Yong-Jin Liu*, and Ying He. Fast Computation of Content-Sensitive Superpixels and Supervoxels using q-distances. In International Conference on Computer Vision (ICCV 19), pages 3770-3779, 2019.
Recommended citation: Chenming Wu, Chengkai Dai, Guoxin Fang, Yong-Jin Liu, Charlie C. L. Wang. General Support-Effective Decomposition for Multi-Directional 3D Printing. IEEE Transactions on Automation Science and Engineering, Vol. 17, No. 2, pp.599-610, 2020.
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