| BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning F Yu, H Chen, X Wang, W Xian, Y Chen, F Liu, V Madhavan, T Darrell Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 1991* | 2020 |
| Few-shot Object Detection via Feature Reweighting B Kang, Z Liu, X Wang, F Yu, J Feng, T Darrell The IEEE International Conference on Computer Vision (ICCV), 2019, pp. 8420-8429, 2019 | 557 | 2019 |
| SkipNet: Learning Dynamic Routing in Convolutional Networks X Wang, F Yu, ZY Dou, D Trevor, JE Gonzalez Proceedings of the European Conference on Computer Vision (ECCV), 409--424, 2018 | 549 | 2018 |
| Clipper: A Low-Latency Online Prediction Serving System. D Crankshaw, X Wang, G Zhou, MJ Franklin, JE Gonzalez, I Stoica NSDI 17, 613-627, 2017 | 481 | 2017 |
| Frustratingly Simple Few-Shot Object Detection X Wang, TE Huang, T Darrell, JE Gonzalez, F Yu International Conference on Machine Learning (ICML), 2020 | 291 | 2020 |
| TAFE-Net: Task-Aware Feature Embeddings for Low Shot Learning X Wang, F Yu, R Wang, T Darrell, JE Gonzalez Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019 | 115 | 2019 |
| Accel: A Corrective Fusion Network for Efficient Semantic Segmentation on Video S Jain, X Wang, J Gonzalez Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 95 | 2019 |
| IDK Cascades: Fast Deep Learning by Learning not to Overthink X Wang, Y Luo, D Crankshaw, A Tumanov, F Yu, JE Gonzalez Conference on Uncertainty in Artificial Intelligence (UAI), 580--590, 2018 | 86 | 2018 |
| ACE: Adapting to Changing Environments for Semantic Segmentation Z Wu, X Wang, JE Gonzalez, T Goldstein, LS Davi The IEEE International Conference on Computer Vision (ICCV), 2019, pp. 2121-2130, 2019 | 78 | 2019 |
| Deep Mixture of Experts via Shallow Embedding X Wang, F Yu, L Dunlap, R Ma, Yi-An, Wang, A Mirhoseini, T Darrell, ... Conference on Uncertainty in Artificial Intelligence (UAI), 2018 | 63 | 2018 |
| Detreg: Unsupervised pretraining with region priors for object detection A Bar, X Wang, V Kantorov, CJ Reed, R Herzig, G Chechik, A Rohrbach, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 50 | 2022 |
| Neural code completion X Wang, C Liu, R Shin, JE Gonzalez, D Song https://openreview.net/pdf?id=rJbPBt9lg, 2016 | 38* | 2016 |
| Robust Contrastive Learning against Noisy Views CY Chuang, RD Hjelm, X Wang, V Vineet, N Joshi, A Torralba, S Jegelka, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 29 | 2022 |
| Learning Saliency Propagation for Semi-Supervised Instance Segmentation Y Zhou, X Wang, J Jiao, T Darrell, F Yu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 28 | 2020 |
| Wanderlust: Online Continual Object Detection in the Real World J Wang, X Wang, Y Shang-Guan, A Gupta International Conference on Computer Vision (ICCV), 2021 | 27 | 2021 |
| Unknown-Aware Object Detection: Learning What You Don't Know from Videos in the Wild X Du, X Wang, G Gozum, Y Li Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 26 | 2022 |
| Robust Object Detection via Instance-Level Temporal Cycle Confusion X Wang, TE Huang, B Liu, F Yu, X Wang, JE Gonzalez, T Darrell International Conference on Computer Vision (ICCV), 2021 | 12 | 2021 |
| Task-Aware Feature Generation for Zero-Shot Compositional Learning X Wang, F Yu, T Darrell, JE Gonzalez arXiv preprint arXiv:1906.04854, 2019 | 11 | 2019 |
| Scalable training and serving of personalized models D Crankshaw, X Wang, JE Gonzalez, MJ Franklin NIPS 2015 Workshop on Machine Learning Systems (LearningSys), 2015 | 9 | 2015 |
| Neural-Sim: Learning to Generate Training Data with NeRF Y Ge, H Behl, J Xu, S Gunasekar, N Joshi, Y Song, X Wang, L Itti, V Vineet Proceedings of the European Conference on Computer Vision (ECCV), 2022 | 5 | 2022 |
