Ntire 2017 challenge on single image super-resolution: Methods and results R Timofte, E Agustsson, L Van Gool, MH Yang, L Zhang Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 1952 | 2017 |
Iou loss for 2d/3d object detection D Zhou, J Fang, X Song, C Guan, J Yin, Y Dai, R Yang 2019 international conference on 3D vision (3DV), 85-94, 2019 | 429 | 2019 |
Apollocar3d: A large 3d car instance understanding benchmark for autonomous driving X Song, P Wang, D Zhou, R Zhu, C Guan, Y Dai, H Su, H Li, R Yang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 187 | 2019 |
Joint 3d instance segmentation and object detection for autonomous driving D Zhou, J Fang, X Song, L Liu, J Yin, Y Dai, H Li, R Yang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 121 | 2020 |
Fcfr-net: Feature fusion based coarse-to-fine residual learning for depth completion L Liu, X Song, X Lyu, J Diao, M Wang, Y Liu, L Zhang Proceedings of the AAAI Conference on Artificial Intelligence 35 (3), 2136-2144, 2021 | 110 | 2021 |
Deep depth super-resolution: Learning depth super-resolution using deep convolutional neural network X Song, Y Dai, X Qin Computer Vision–ACCV 2016: 13th Asian Conference on Computer Vision, Taipei …, 2017 | 101 | 2017 |
An autonomous excavator system for material loading tasks L Zhang, J Zhao, P Long, L Wang, L Qian, F Lu, X Song, D Manocha Science Robotics 6 (55), eabc3164, 2021 | 94 | 2021 |
Channel attention based iterative residual learning for depth map super-resolution X Song, Y Dai, D Zhou, L Liu, W Li, H Li, R Yang Proceedings of the ieee/cvf conference on computer vision and pattern …, 2020 | 92 | 2020 |
Self-supervised monocular depth estimation for all day images using domain separation L Liu, X Song, M Wang, Y Liu, L Zhang Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 55 | 2021 |
Deeply supervised depth map super-resolution as novel view synthesis X Song, Y Dai, X Qin IEEE Transactions on circuits and systems for video technology 29 (8), 2323-2336, 2018 | 51 | 2018 |
Pcw-net: Pyramid combination and warping cost volume for stereo matching Z Shen, Y Dai, X Song, Z Rao, D Zhou, L Zhang European conference on computer vision, 280-297, 2022 | 47 | 2022 |
Optimization-based framework for excavation trajectory generation Y Yang, P Long, X Song, J Pan, L Zhang IEEE Robotics and Automation Letters 6 (2), 1479-1486, 2021 | 46* | 2021 |
MLDA-Net: Multi-level dual attention-based network for self-supervised monocular depth estimation X Song, W Li, D Zhou, Y Dai, J Fang, H Li, L Zhang IEEE Transactions on Image Processing 30, 4691-4705, 2021 | 45 | 2021 |
WSAMF-Net: Wavelet spatial attention-based MultiStream feedback network for single image dehazing X Song, D Zhou, W Li, H Ding, Y Dai, L Zhang IEEE Transactions on Circuits and Systems for Video Technology 33 (2), 575-588, 2022 | 30 | 2022 |
Estimation of kinect depth confidence through self-training X Song, F Zhong, Y Wang, X Qin The Visual Computer 30, 855-865, 2014 | 27 | 2014 |
Mapfusion: A general framework for 3d object detection with hdmaps J Fang, D Zhou, X Song, L Zhang 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021 | 25 | 2021 |
Learning 2d-3d correspondences to solve the blind perspective-n-point problem L Liu, D Campbell, H Li, D Zhou, X Song, R Yang arXiv preprint arXiv:2003.06752, 2020 | 23 | 2020 |
Self-supervised rigid transformation equivariance for accurate 3D point cloud registration Z Zhang, J Sun, Y Dai, D Zhou, X Song, M He Pattern Recognition 130, 108784, 2022 | 22 | 2022 |
End-to-end learning the partial permutation matrix for robust 3D point cloud registration Z Zhang, J Sun, Y Dai, D Zhou, X Song, M He Proceedings of the AAAI conference on Artificial Intelligence 36 (3), 3399-3407, 2022 | 20 | 2022 |
Mff-net: Towards efficient monocular depth completion with multi-modal feature fusion L Liu, X Song, J Sun, X Lyu, L Li, Y Liu, L Zhang IEEE Robotics and Automation Letters 8 (2), 920-927, 2023 | 18 | 2023 |