SQN: Weakly-Supervised Semantic Segmentation of Large-Scale 3D Point Clouds with 1000x Fewer Labels. - Qingyong Hu; Bo Yang 027; Guangchi Fang; Yulan Guo; Ales Leonardis; Niki Trigoni; Andrew Markham (CoRR, 2021)

3DAC: Learning Attribute Compression for Point Clouds. - Guangchi Fang; Qingyong Hu; Hanyun Wang; Yiling Xu; Yulan Guo (CVPR, 2022)

SQN: Weakly-Supervised Semantic Segmentation of Large-Scale 3D Point Clouds. - Qingyong Hu; Bo Yang 027; Guangchi Fang; Yulan Guo; Ales Leonardis; Niki Trigoni; Andrew Markham (ECCV (27), 2022)

4DAC: Learning Attribute Compression for Dynamic Point Clouds. - Guangchi Fang; Qingyong Hu; Yiling Xu; Yulan Guo (CoRR, 2022)

3DPointCaps++: Learning 3D Representations with Capsule Networks. - Yongheng Zhao; Guangchi Fang; Yulan Guo; Leonidas J. Guibas; Federico Tombari; Tolga Birdal (Int. J. Comput. Vis., 2022)

Mini-Splatting: Representing Scenes with a Constrained Number of Gaussians. - Guangchi Fang; Bing Wang 013 (ECCV (77), 2024)

ACRF: Compressing Explicit Neural Radiance Fields via Attribute Compression. - Guangchi Fang; Qingyong Hu; Longguang Wang; Yulan Guo (ICLR, 2024)

Mini-Splatting2: Building 360 Scenes within Minutes via Aggressive Gaussian Densification. - Guangchi Fang; Bing Wang (CoRR, 2024)