Publications
https://scholar.google.com/citations?user=E1RM9OUAAAAJ
https://orcid.org/0009-0006-0493-3459
https://dblp.org/pers/hd/t/Tang_0001:Min
Xiaorui Chen, Mengfei Yang, Gao Zhang, Wu Zhang, Jing Peng, Zheng Gu, Xiangjin Deng, Liuzhi Yang, Fei Yang, Yun Yang, Shouqian Sun, Ruofeng Tong, Min Tang, 3D point cloud matching based selfie generation for Chang’e-5. Journal of Computer Science and Technology, 40(1): 85−98, Jan. 2025. DOI: 10.1007/s11390-024-3667-6
Peng Fan, Wei Wang, Ruofeng Tong, Hailong Li, and Min Tang, gDist: Efficient Distance Computation between 3D Meshes on GPU, In SIGGRAPH Asia 2024 Conference Papers (SA '24). Association for Computing Machinery, New York, NY, USA, Article 71, 1–11. https://doi.org/10.1145/3680528.3687619, also at https://arxiv.org/abs/2411.11244 and https://min-tang.github.io/home/gDist/
Yudi Li, Min Tang, Yun Yang, Ruofeng Tong, Shuangcai Yang, Yao Li, Bailin An, Qilong Kou, CTSN: Predicting Cloth Deformation for Skeleton-based Characters with a Two-stream Skinning Network, Computational Visual Media (Proceedings of CVM 2023), 2024. https://link.springer.com/article/10.1007/s41095-023-0344-6 (also at https://min-tang.github.io/home/CTSN/)
Yudi Li, Min Tang, Yun Yang, Ruofeng Tong, Bailin An, Shuangcai Yang, Yao Li, Qilong Kou, D-Cloth: Skinning-based Cloth Dynamic Prediction with a Three-stage Network, Computer Graphics Forum, 42(7): e14937, (Proceedings of Pacific Graphics 2023), 2023. (https://min-tang.github.io/home/DCloth/)
Yudi Li, Min Tang, Yun Yang, Ruofeng Tong, Shuangcai Yang, Yao Li, Bailin An, Qilong Kou, CTSN: Predicting Cloth Deformation for Skeleton-based Characters with a Two-stream Skinning Network, accepted by Computational Visual Media (Proceedings of CVM 2023), 2023. https://arxiv.org/abs/2112.02238 (also at https://min-tang.github.io/home/CTSN/)
Diqiong Jiang, Dan Song, Ruofeng Tong, Min Tang, StyleIPSB: Identity-Preserving Semantic Basis of StyleGAN for High Fidelity Face Swapping, Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023, pp. 352-361. pdf
Xiaorui Chen, Min Tang, Dinesh Manocha, Ruofeng Tong, BADF: Bounding Volume Hierarchies Centric Adaptive Distance Field Computation for Deformable Objects on GPUs, Journal of Computer Science and Technology, 37(3): 731-740, May 2022. https://min-tang.github.io/home/Data/badf-cxr2022.pdf
Yudi Li, Min Tang, Yun Yang, Zi Huang, Ruofeng Tong, Shuangcai Yang, Yao Li, Dinesh Manocha, N-Cloth: Predicting 3D Cloth Deformation with Mesh-Based Networks, Computer Graphics Forum, 41(2): 547-558 (Proceedings of Eurographics 2022), 2022. https://min-tang.github.io/home/NCloth/ (also at https://arxiv.org/abs/2112.06397)
Diqiong Jiang, Yiwei Jin, Fanglue Zhang, Zhe Zhu, Yun Zhang, Ruofeng Tong, Min Tang, Sphere Face Model: A 3D Morphable Model with Hypersphere Manifold Latent Space. https://arxiv.org/abs/2112.02238(also at http://iccvm.org/2022/papers/poster-13.pdf).
Diqiong Jiang, Yiwei Jin, Fanglue Zhang, Yukun Yai, Risheng Deng, Ruofeng Tong, Min Tang, Reconstructing Recognizable 3D Face Shapes based on 3D Morphable Models, Computer Graphics Forum, 41: 348-364, 2022. https://doi.org/10.1111/cgf.14513, also at https://arxiv.org/abs/2104.03515.
张智宇,朱昶安,唐敏,童若锋.数据驱动的地外星表通行性分析及数据集生成方法[J].武汉大学学报(信息科学版),2021,46(09):1362-1369+1385.
Guoqiang Liu, Dan Song, Ruofeng Tong, Min Tang, Toward Realistic Virtual Try-on Through Landmark Guided Shape Matching. Proceedings of the AAAI Conference on Artificial Intelligence, 35(3), 2118-2126, 2021. https://ojs.aaai.org/index.php/AAAI/article/view/16309
Cheng Li, Min Tang, Ruofeng Tong, Ming Cai, Jieyi Zhao, Dinesh Manocha, P-Cloth: Interactive Cloth Simulation on Multi-GPU Systems using Dynamic Matrix Assembly and Pipelined Implicit Integrators, ACM Transactions on Graphics, 39(6), Article 108 (December 2020), 15 pages (Proc. of ACM SIGGRAPH Asia), 2020. https://min-tang.github.io/home/PCloth/
Xinlei Wang*, Minchen Li* (equal contribution), Yu Fang, Xinxin Zhang, Ming Gao, Min Tang, Danny M. Kaufman, Chenfanfu Jiang, Hierarchical Optimization Time Integration for CFL-rate MPM Stepping, ACM Transactions on Graphics, 39(3), Article 21 (April 2020), 16 pages.
Xinlei Wang*, Yuxing Qiu*(equal contributions), Stuart R. Slattery, Yu Fang, Minchen Li, Song-Chun Zhu, Yixin Zhu, Min Tang, Dinesh Manocha, Chenfanfu Jiang, A Massively Parallel and Scalable Multi-GPU Material Point Method, ACM Transactions on Graphics, 39(4), Article 30 (July 2020), 15 pages. (Proc. of ACM SIGGRAPH), 2020.
Chengyang Li, Dan Song, Ruofeng Tong, Min Tang, Illumination-aware faster R-CNN for robust multispectral pedestrian detection, Pattern Recognition, Volume 85, 2019, 161-171.
Min Tang, Tongtong Wang, Zhongyuan Liu, Ruofeng Tong, and Dinesh Manocha, I-Cloth: Incremental Collision Handling for GPU-Based Interactive Cloth Simulation, ACM Transactions on Graphics, 37(6), Article 204 (November 2018), 10 pages (Proc. of ACM SIGGRAPH Asia), 2018. https://min-tang.github.io/home/ICloth/
Zhendong Wang, Longhua Wu, Marco Fratarcangeli, Min Tang, and Huamin Wang, Parallel Multigrid for Nonlinear Cloth Simulation, Computer Graphics Forum, 37(7): 131-141, (Proceedings of Pacific Graphics 2018, Best Paper Award), 2018.
Min Tang, Zhongyuan Liu, Ruofeng Tong, and Dinesh Manocha, PSCC: Parallel Self-Collision Culling with Spatial Hashing on GPUs, Proc. ACM Comput. Graph. Interact. Tech. 1, 1, Article 18 (July 2018), 18:1-18. https://min-tang.github.io/home/PSCC/
Xinlei Wang, Min Tang, Dinesh Manocha, and Ruofeng Tong, Efficient BVH-based Collision Detection Scheme with Ordering and Restructuring, Computer Graphics Forum, 37(2): 227-237, (Proceedings of Eurographics 2018), 2018. https://min-tang.github.io/home/BVH-OR/
Tongtong Wang, Min Tang, Zhendong Wang, and Roufeng Tong, Accurate Self-Collision Detection Using Enhanced Dual-Cone Method, Computers & Graphics, 73, 70-79, 2018. https://min-tang.github.io/home/DCC/
Tongtong Wang, Zhihua Liu, Min Tang, Roufeng Tong, and Dinesh Manocha, Efficient and Reliable Self-Collision Culling using Unprojected Normal Cones, Computer Graphics Forum, 36(8), 487-498, 2017. https://min-tang.github.io/home/SCC/
Juntao Ye, Guanghui Ma, Liguo Jiang, Lan Chen, Jituo Li, Gang Xiong, Xiaopeng Zhang, and Min Tang, A Unified Cloth Untangling Framework Through Discrete Collision Detection, Computer Graphics Forum (Proceedings of Pacific Graphics 2017), 36(7), 217-228, 2017.
Dan Song, Ruofeng Tong, Jian Chang, Xiaosong Yang, Min Tang, and Jian Jun Zhang, 3D Body Shapes Estimation from Dressed-human Silhouettes, Computer Graphics Forum (Proceedings of Pacific Graphics 2016), 35(7), 147-156, 2016. http://give.zju.edu.cn/en/memberIntro/paper/PG2016/
Min Tang, Huamin Wang, Le Tang, Ruofeng Tong, and Dinesh Manocha, CAMA: Contact-Aware Matrix Assembly with Unified Collision Handling for GPU-based Cloth Simulation, Computer Graphics Forum, 35(2): 511–521, (Proceedings of Eurographics 2016), 2016. http://gamma.cs.unc.edu/CAMA/
Zhendong Wang, Tongtong Wang, Min Tang, and Ruofeng Tong, Efficient and robust strain limiting and treatment of simultaneous collisions with semidefinite programming, Computational Visual Media, 2(2): 119–130, (Proceedings of CVM 2016), 2016.
Ke-Li Cheng, Xuan Ju, Ruo-Feng Tong, Min Tang, Jian Chang, and Jian-Jun Zhang, A Linear Approach for Depth and Colour Camera Calibration Using Hybrid Parameters, Journal of Computer Science and Technology, 31(3): 479–488, (Proceedings of CVM 2016), 2016.
Yanlong Tang, Ruofeng Tong, Min Tang, and Yu Zhang, Depth Incorporating with Color Improves Salient Object Detection, The Visual Computer, 32(1): 111-121, 2016.
Guiping Qian, Min Tang, Ruofeng Tong, Xiaohong Zhang, and Ruifang Pan, Interactive Mesh Cloning Driven by Boundary Loop, The Visual Computer, 32(4): 513-521, 2016.
Ke-Li Cheng, Ruo-feng Tong, Min Tang, Michel Sarkis, and Jingye Qian, Parametric Human Body Reconstruction Based on Sparse Key Points, IEEE Transactions on Visualization and Computer Graphics, 2016， 22(11): 2467-2479.
Min Tang, Ruofeng Tong, Zhendong Wang, and Dinesh Manocha, Fast and Exact Continuous Collision Detection with Bernstein Sign Classification, ACM Transactions on Graphics, 33(6), Article 186 (November 2014), 8 pages (Proc. of ACM SIGGRAPH Asia), 2014. http://gamma.cs.unc.edu/BSC/
Feng Wang, Lanfen Lin, and Min Tang, A New Sketch-based 3D Model Retrieval Approach by using Global and Local Features, Graphical Models, Vol. 76, No. 3, pp.128-139, May 2014.
Min Tang, Ruofeng Tong, Rahul Narain, Chang Meng, and Dinesh Manocha, A GPU-based Streaming Algorithm for High-Resolution Cloth Simulation, Computer Graphics Forum, 32(7): 21–30, (Proceedings of Pacific Graphics 2013), 2013. http://gamma.cs.unc.edu/gcloth/
Ruofeng Tong, Di Xie, and Min Tang, Upper Body Human Detection and Segmentation in Low Contrast Video, IEEE Transactions on Circuits and Systems for Video Technology, 23(9): 1502-1509, 2013.
Min Tang, Dinesh Manocha, Miguel A. Otaduy, and Ruofeng Tong, Continuous Penalty Forces, ACM Transactions on Graphics, 31(4), Article 107 (July 2012), 9 pages (Proc. of ACM SIGGRAPH). 2012. http://gamma.cs.unc.edu/CPF/
Min Tang, Jieyi Zhao, Ruofeng Tong, and Dinesh Manocha, GPU accelerated Convex Hull Computation, Computers & Graphics, 36(5): 498–506, (Proceedings of SMI 2012), 2012. http://gamma.cs.unc.edu/ghull/
Peng Du, Min Tang, and Ruofeng Tong, Fast Continuous Collision Culling with Deforming Non-collinear Filters, Computer Animation and Vitual Worlds, 23(3-4):375-383, (Proceedings of CASA 2012), 2012.http://give.zju.edu.cn/NCF/
Xiaohong Zhang, Min Tang, Zhicheng Jiang, and Ruofeng Tong, Video Fusion Oriented Object Motion Removing, Journal of Computational Information Systems, 8(6): 2317- 2324, 2012.
Xiaohong Zhang, Min Tang, and Ruofeng Tong, Robust super resolution of compressed video, The Visual Computer, 28(12): 1167-1180, 2012.
JieYi Zhao, Min Tang, and Ruofeng Tong, Connectivity-based segmentation for GPU-accelerated mesh decompression. Journal of Computer Science and Technology, 27(6): 1110-1118, Nov. 2012.
Min Tang, Dinesh Manocha, Sung-Eui Yoon, Peng Du, Jae-Pil Heo, and Ruo-Feng Tong. 2011. VolCCD: Fast continuous collision culling between deforming volume meshes. ACM Transactions on Graphics, 30(5), Article 111 (October 2011), 15 pages. http://gamma.cs.unc.edu/volccd/
Min Tang, Dinesh Manocha, Jiang Lin, and Ruofeng Tong, Collision-Streams: Fast GPU-based Collision Detection for Deformable Models, In Proceedings of ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games (i3D 2011), San Francisco, CA, Feb. 18-20, 2011. http://gamma.cs.unc.edu/CSTREAMS/
Min Tang, Dinesh Manocha, and Ruofeng Tong, Fast Continuous Collision Detection using Deforming Non-Penetration Filters, In Proceedings of ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games (i3D 2010), Washington DC, Feb. 19-21, 2010: 7-13. http://gamma.cs.unc.edu/DNF/
Min Tang, Dinesh Manocha, and Ruofeng Tong, MCCD: Multi-Core collision detection between deformable models using front-based decomposition, Graphical Models, Vol. 72, No. 2, pp.7-23, 2010. http://gamma.cs.unc.edu/PCD/
Jae-Pil Heo, DukSu Kim, Joon-Kyung Seong, Jeong-Mo Hong, Min Tang, and Sung-Eui Yoon, FASTCD: Fracturing-Aware Stable Collision Detection, ACM SIGGRAPH 2010 Posters, SIGGRAPH’10, July 26, 2010 - July 30, 2010. http://sglab.kaist.ac.kr/FASTCD/
Sheng-hui Liao, Ruo-feng Tong, Jian-Ping Geng, and Min Tang, Inhomogeneous volumetric Laplacian deformation for rhinoplasty planning and simulation system, Computer Animation and Virtual Worlds, 21(3,4), pp.331–341, 2010.
Min Tang, Sean Curtis, Sung-Eui Yoon, and Dinesh Manocha, ICCD: Interactive Continuous Collision Detection between Deformable Models using Connectivity-Based Culling, IEEE Transactions on Visualization and Computer Graphics, vol. 15, no. 4, pp. 544-557, July/Aug. 2009. http://www.cs.unc.edu/~geom/CBC/
Min Tang, Dinesh Manocha, and Ruofeng Tong, Multi-Core collision detection between deformable models, Proceedings of 2009 SIAM/ACM Joint Conference on Geometric and Physical Modeling. 2009: 355-360. http://gamma.cs.unc.edu/PCD/