| DeepGCNs: Can GCNs Go as Deep as CNNs? G Li, M Muller, A Thabet, B Ghanem Proceedings of the IEEE International Conference on Computer Vision (ICCV …, 2019 | 1190 | 2019 |
| DeeperGCN: Training Deeper GCNs with Generalized Aggregation Functions G Li, C Xiong, G Qian, A Thabet, B Ghanem IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023 | 303* | 2023 |
| SGAS: Sequential Greedy Architecture Search G Li, G Qian, IC Delgadillo, M Müller, A Thabet, B Ghanem Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020 | 187 | 2020 |
| Training Graph Neural Networks with 1000 Layers G Li, M Müller, B Ghanem, V Koltun International Conference on Machine Learning (ICML), 2021 | 170 | 2021 |
| Flag: Adversarial data augmentation for graph neural networks K Kong, G Li, M Ding, Z Wu, C Zhu, B Ghanem, G Taylor, T Goldstein Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022 | 142* | 2022 |
| DeepGCNs: Making GCNs Go as Deep as CNNs G Li, M Müller, G Qian, IC Delgadillo, A Abualshour, A Thabet, B Ghanem IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021 | 141* | 2021 |
| PU-GCN: Point Cloud Upsampling using Graph Convolutional Networks G Qian, A Abualshour, G Li, A Thabet, B Ghanem Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021 | 139 | 2021 |
| CAMEL: Communicative agents for" mind" exploration of large language model society G Li, HAAK Hammoud, H Itani, D Khizbullin, B Ghanem Thirty-seventh Conference on Neural Information Processing Systems, 2023 | 61* | 2023 |
| OIL: Observational Imitation Learning G Li, M Mueller, V Casser, N Smith, DL Michels, B Ghanem Robotics: Science and Systems (RSS), 2019 | 42* | 2019 |
| ASSANet: An Anisotropic Separable Set Abstraction for Efficient Point Cloud Representation Learning G Qian, HAAK Hammoud, G Li, A Thabet, B Ghanem Advances in Neural Information Processing Systems (NeurIPS), 2021 | 40 | 2021 |
| Diffusion-based scene graph to image generation with masked contrastive pre-training L Yang, Z Huang, Y Song, S Hong, G Li, W Zhang, B Cui, B Ghanem, ... arXiv preprint arXiv:2211.11138, 2022 | 16 | 2022 |
| Learning a controller fusion network by online trajectory filtering for vision-based uav racing M Muller, G Li, V Casser, N Smith, DL Michels, B Ghanem Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 13 | 2019 |
| LC-NAS: Latency constrained neural architecture search for point cloud networks G Li, M Xu, S Giancola, A Thabet, B Ghanem International Conference on 3D Vision & IEEE/CVF Conference on Computer …, 2022 | 9 | 2022 |
| Mindstorms in Natural Language-Based Societies of Mind M Zhuge, H Liu, F Faccio, DR Ashley, R Csordás, A Gopalakrishnan, ... arXiv preprint arXiv:2305.17066, 2023 | 8 | 2023 |
| How To Not Train Your Dragon: Training-free Embodied Object Goal Navigation with Semantic Frontiers J Chen, G Li, S Kumar, B Ghanem, F Yu Robotics: Science and Systems (RSS), 2023 | 2 | 2023 |
| Learning scene flow in 3d point clouds with noisy pseudo labels B Li, C Zheng, G Li, B Ghanem arXiv preprint arXiv:2203.12655, 2022 | 2 | 2022 |
| When NAS Meets Trees: An Efficient Algorithm for Neural Architecture Search G Qian, X Zhang, G Li, C Zhao, Y Chen, X Zhang, B Ghanem, J Sun Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 2 | 2022 |
| The snowflake hypothesis: Training deep GNN with one node one receptive field K Wang, G Li, S Wang, G Zhang, K Wang, Y You, X Peng, Y Liang, ... arXiv preprint arXiv:2308.10051, 2023 | 1 | 2023 |
| Knowledge-aware Global Reasoning for Situation Recognition W Yu, H Wang, G Li, N Xiao, B Ghanem IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023 | 1 | 2023 |
| UnrealNAS: Can We Search Neural Architectures with Unreal Data? Z Dong, K Zhou, G Li, Q Zhou, M Guo, B Ghanem, K Keutzer, S Zhang arXiv preprint arXiv:2205.02162, 2022 | 1 | 2022 |
Bernard GhanemProfessor, King Abdullah University of Science and TechnologyVerified email at kaust.edu.sa
