Publications

Guohao Li, Mengmeng Xu, Silvio Giancola, Ali Thabet, Bernard Ghanem (2022). LC-NAS: Latency constrained neural architecture search for point cloud networks. 3DV’2022.

Kezhi Kong, Guohao Li, Mucong Ding, Zuxuan Wu, Chen Zhu, Bernard Ghanem, Gavin Taylor, Tom Goldstein (2022). Robust Optimization as Data Augmentation for Large-scale Graphs. CVPR’2022.

Preprint PDF Code

Guocheng Qian, Hasan Abed Al Kader Hammoud, Guohao Li, Ali Thabet, Bernard Ghanem (2021). ASSANet: An Anisotropic Separable Set Abstraction for Efficient Point Cloud Representation Learning. NeurIPS’2021 Spotlight.

Preprint PDF Code

Guohao Li, Matthias Müller, Bernard Ghanem, Vladlen Koltun (2021). Training Graph Neural Networks with 1000 layers. ICML’2021.

Preprint PDF Code

Guohao Li, Matthias Müller, Guocheng Qian, Itzel C. Delgadillo, Abdulellah Abualshour, Ali Thabet, Bernard Ghanem (2021). DeepGCNs: Making GCNs Go as Deep as CNNs. TPAMI’2021.

Preprint PDF Code Slides Video

TF: Star Torch: Star

Guocheng Qian, Abdulellah Abualshour, Guohao Li, Ali Thabet, Bernard Ghanem (2021). PU-GCN: Point Cloud Upsampling via Graph Convolutional Network. CVPR’2021.

Preprint PDF Code Video

Guohao Li, Chenxin Xiong, Ali Thabet, Bernard Ghanem (2020). DeeperGCN: All You Need to Train Deeper GCNs. arXiv’2020.

Preprint PDF Code Slides Video

Guohao Li, Guocheng Qian, Itzel C. Delgadillo, Matthias Müller, Ali Thabet, Bernard Ghanem (2019). SGAS: Sequential Greedy Architecture Search. CVPR’2020.

Preprint PDF Code Slides Video

Guohao Li, Matthias Müller, Ali Thabet, Bernard Ghanem (2019). DeepGCNs: Can GCNs Go as Deep as CNNs?. ICCV’2019 Oral.

Preprint PDF Code Slides Video

TF: Star Torch: Star

Guohao Li, Matthias Müller, Vincent Casser, Neil Smith, Dominik L. Michels, Bernard Ghanem (2018). OIL: Observational Imitation Learning. RSS’2019.

Preprint PDF Video