Learning from synthetic animals J Mu, W Qiu, GD Hager, AL Yuille Computer Vision and Pattern Recognition (CVPR), 12386-12395, 2020 | 129 | 2020 |
A-SDF: Learning Disentangled Signed Distance Functions for Articulated Shape Representation J Mu, W Qiu, A Kortylewski, A Yuille, N Vasconcelos, X Wang International Conference on Computer Vision (ICCV), 2021 | 96 | 2021 |
Learning Part Segmentation through Unsupervised Domain Adaptation from Synthetic Vehicles Q Liu, A Kortylewski, Z Zhang, Z Li, M Guo, Q Liu, X Yuan, J Mu, W Qiu, ... Computer Vision and Pattern Recognition (CVPR), 2022 | 29* | 2022 |
ActorsNeRF: Animatable Few-shot Human Rendering with Generalizable NeRFs J Mu, S Sang, N Vasconcelos, X Wang International Conference on Computer Vision (ICCV), 2023 | 17 | 2023 |
CoordGAN: Self-Supervised Dense Correspondences Emerge from GANs J Mu, S De Mello, Z Yu, N Vasconcelos, X Wang, J Kautz, S Liu Computer Vision and Pattern Recognition (CVPR), 2022 | 17 | 2022 |
Multi-mosquito object detection and 2D pose estimation for automation of PfSPZ malaria vaccine production H Wu, J Mu, T Da, M Xu, RH Taylor, I Iordachita, GS Chirikjian 2019 IEEE 15th International Conference on Automation Science and …, 2019 | 10 | 2019 |
A new efficient real-time arbitrary colored ball recognition method for a humanoid soccer robot J Mu, Y Li 2016 12th World Congress on Intelligent Control and Automation (WCICA), 494-499, 2016 | 10 | 2016 |
Learning generalizable feature fields for mobile manipulation RZ Qiu, Y Hu, G Yang, Y Song, Y Fu, J Ye, J Mu, R Yang, N Atanasov, ... arXiv preprint arXiv:2403.07563, 2024 | 6 | 2024 |
Editable Image Elements for Controllable Synthesis J Mu, M Gharbi, R Zhang, E Shechtman, N Vasconcelos, X Wang, T Park European Conference on Computer Vision (ECCV), 2024 | 1 | 2024 |
Learning Part Segmentation from Synthetic Animals J Peng, J He, P Kaushik, Z Xiao, J Mu, A Yuille Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 1 | 2024 |
Learning dense correspondences for images S Liu, J Mu, S De Mello, Z Yu, J Kautz US Patent App. 17/929,182, 2023 | 1 | 2023 |
CoordGAN: Self-Supervised Dense Correspondences Emerge from GANs Supplementary Materials J Mu, S De Mello, Z Yu, N Vasconcelos, X Wang, J Kautz, S Liu | | |
CCVL J Mu, W Qiu, GD Hager, A Yuille | | |