Learning depth-guided convolutions for monocular 3d object detection M Ding, Y Huo, H Yi, Z Wang, J Shi, Z Lu, P Luo Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 303 | 2020 |
Context autoencoder for self-supervised representation learning X Chen, M Ding, X Wang, Y Xin, S Mo, Y Wang, S Han, P Luo, G Zeng, ... International Journal of Computer Vision, 1-16, 2023 | 269 | 2023 |
Davit: Dual attention vision transformers M Ding, B Xiao, N Codella, P Luo, J Wang, L Yuan European Conference on Computer Vision, 74-92, 2022 | 223 | 2022 |
Dense Hybrid Recurrent Multi-view Stereo Net with Dynamic Consistency Checking J Yan, Z Wei, H Yi, M Ding, R Zhang, Y Chen, G Wang, YW Tai European Conference on Computer Vision, 674-689, 2020 | 152 | 2020 |
Segmenting transparent objects in the wild E Xie, W Wang, W Wang, M Ding, C Shen, P Luo European Conference on Computer Vision, 2020 | 135 | 2020 |
Camnet: Coarse-to-fine retrieval for camera re-localization M Ding, Z Wang, J Sun, J Shi, P Luo Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 133 | 2019 |
Pyramid multi-view stereo net with self-adaptive view aggregation H Yi, Z Wei, M Ding, R Zhang, Y Chen, G Wang, YW Tai European Conference on Computer Vision, 766-782, 2020 | 116 | 2020 |
Open x-embodiment: Robotic learning datasets and rt-x models A Padalkar, A Pooley, A Jain, A Bewley, A Herzog, A Irpan, A Khazatsky, ... arXiv preprint arXiv:2310.08864, 2023 | 98 | 2023 |
IEPT: Instance-level and episode-level pretext tasks for few-shot learning M Zhang, J Zhang, Z Lu, T Xiang, M Ding, S Huang International Conference on Learning Representations, 2021 | 96 | 2021 |
EmbodiedGPT: Vision-Language Pre-Training via Embodied Chain of Thought Y Mu, Q Zhang, M Hu, W Wang, M Ding, J Jin, B Wang, J Dai, Y Qiao, ... Advances In Neural Information Processing Systems, 2023 | 93 | 2023 |
Domain-adaptive few-shot learning A Zhao, M Ding, Z Lu, T Xiang, Y Niu, J Guan, JR Wen, P Luo Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2021 | 90 | 2021 |
Every frame counts: joint learning of video segmentation and optical flow M Ding, Z Wang, B Zhou, J Shi, Z Lu, P Luo Proceedings of the AAAI Conference on Artificial Intelligence 34 (07), 10713 …, 2020 | 74 | 2020 |
Segvoxelnet: Exploring semantic context and depth-aware features for 3d vehicle detection from point cloud H Yi, S Shi, M Ding, J Sun, K Xu, H Zhou, Z Wang, S Li, G Wang 2020 IEEE International Conference on Robotics and Automation (ICRA), 2274-2280, 2020 | 64 | 2020 |
Domain-invariant projection learning for zero-shot recognition A Zhao, M Ding, J Guan, Z Lu, T Xiang, JR Wen Advances in Neural Information Processing Systems 31, 1025-1036, 2018 | 62 | 2018 |
Planning with Large Language Models for Code Generation S Zhang, Z Chen, Y Shen, M Ding, JB Tenenbaum, C Gan International Conference on Learning Representations, 2023 | 61 | 2023 |
Dynamic visual reasoning by learning differentiable physics models from video and language M Ding, Z Chen, T Du, P Luo, J Tenenbaum, C Gan Advances In Neural Information Processing Systems 34, 887-899, 2021 | 61 | 2021 |
LanguageMPC: Large Language Models as Decision Makers for Autonomous Driving H Sha, Y Mu, Y Jiang, L Chen, C Xu, P Luo, SE Li, M Tomizuka, W Zhan, ... arXiv preprint arXiv:2310.03026, 2023 | 60 | 2023 |
L2M-GAN: Learning To Manipulate Latent Space Semantics for Facial Attribute Editing G Yang, N Fei, M Ding, G Liu, Z Lu, T Xiang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 58 | 2021 |
Polarmask++: Enhanced polar representation for single-shot instance segmentation and beyond E Xie, W Wang, M Ding, R Zhang, P Luo IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (9), 5385-5400, 2021 | 56 | 2021 |
Face-focused cross-stream network for deception detection in videos M Ding, A Zhao, Z Lu, T Xiang, JR Wen Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 56 | 2019 |