| Non-local Neural Networks X Wang, R Girshick, A Gupta, K He Computer Vision and Pattern Recognition (CVPR), 2018 IEEE Conference on, 2018 | 11545 | 2018 |
| Hollywood in Homes: Crowdsourcing Data Collection for Activity Understanding GA Sigurdsson, G Varol, X Wang, A Farhadi, I Laptev, A Gupta European Conference on Computer Vision (ECCV), 2016 | 1412 | 2016 |
| Unsupervised Learning of Visual Representations using Videos X Wang, A Gupta International Conference on Computer Vision (ICCV), 2015 | 1324 | 2015 |
| Videos as Space-Time Region Graphs X Wang, A Gupta European Conference on Computer Vision (ECCV), 2018 | 883 | 2018 |
| Test-time training with self-supervision for generalization under distribution shifts Y Sun, X Wang, Z Liu, J Miller, A Efros, M Hardt International Conference on Machine Learning (ICML), 9229-9248, 2020 | 803 | 2020 |
| A-Fast-RCNN: Hard Positive Generation via Adversary for Object Detection X Wang, A Shrivastava, A Gupta Computer Vision and Pattern Recognition (CVPR), 2017 IEEE Conference on, 2017 | 763 | 2017 |
| Generative Image Modeling using Style and Structure Adversarial Networks X Wang, A Gupta European Conference on Computer Vision (ECCV), 2016 | 733 | 2016 |
| Zero-shot Recognition via Semantic Embeddings and Knowledge Graphs X Wang, Y Ye, A Gupta Computer Vision and Pattern Recognition (CVPR), 2018 IEEE Conference on, 2018 | 705 | 2018 |
| Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning Y Chen, Z Liu, H Xu, T Darrell, X Wang International Conference on Computer Vision (ICCV), 2021 | 682* | 2021 |
| Learning Continuous Image Representation with Local Implicit Image Function Y Chen, S Liu, X Wang Computer Vision and Pattern Recognition (CVPR), 2021 IEEE Conference on, 2021 | 641 | 2021 |
| Learning Correspondence from the Cycle-Consistency of Time X Wang, A Jabri, AA Efros Computer Vision and Pattern Recognition (CVPR), 2019 IEEE Conference on, 2019 | 566 | 2019 |
| 3D Human Pose Estimation in the Wild by Adversarial Learning W Yang, W Ouyang, X Wang, J Ren, H Li, X Wang Computer Vision and Pattern Recognition (CVPR), 2018 IEEE Conference on, 2018 | 471 | 2018 |
| GroupViT: Semantic Segmentation Emerges from Text Supervision J Xu, S De Mello, S Liu, W Byeon, T Breuel, J Kautz, X Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 449 | 2022 |
| Designing Deep Networks for Surface Normal Estimation X Wang, DF Fouhey, A Gupta Computer Vision and Pattern Recognition (CVPR), 2015 IEEE Conference on, 539-547, 2015 | 401 | 2015 |
| Visual semantic navigation using scene priors W Yang, X Wang, A Farhadi, A Gupta, R Mottaghi International Conference on Machine Learning (ICLR), 2019 | 341 | 2019 |
| Actions ~ Transformations X Wang, A Farhadi, A Gupta Computer Vision and Pattern Recognition (CVPR), 2016 IEEE Conference on, 2016 | 336 | 2016 |
| Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models J Xu, S Liu, A Vahdat, W Byeon, X Wang, S De Mello Computer Vision and Pattern Recognition (CVPR), 2023 | 327 | 2023 |
| What should not be contrastive in contrastive learning T Xiao, X Wang, AA Efros, T Darrell International Conference on Learning Representations (ICLR), 2021 | 320 | 2021 |
| Open x-embodiment: Robotic learning datasets and rt-x models A Padalkar, A Pooley, A Jain, A Bewley, A Herzog, A Irpan, A Khazatsky, ... International Conference on Robotics and Automation (ICRA), 2024 | 288* | 2024 |
| Transitive Invariance for Self-supervised Visual Representation Learning X Wang, K He, A Gupta International Conference on Computer Vision (ICCV), 2017 | 206 | 2017 |
Abhinav GuptaProfessor, Robotics Institute, Carnegie Mellon UniversityVerified email at cs.cmu.edu
