Siamfc++: Towards robust and accurate visual tracking with target estimation guidelines Y Xu, Z Wang, Z Li, Y Yuan, G Yu Proceedings of the AAAI Conference on Artificial Intelligence 34 (07), 12549 …, 2020 | 777 | 2020 |
The seventh visual object tracking vot2019 challenge results M Kristan, J Matas, A Leonardis, M Felsberg, R Pflugfelder, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 521 | 2019 |
Can CNNs Be More Robust Than Transformers? Z Wang, Y Bai, Y Zhou, C Xie The Eleventh International Conference on Learning Representations, 2022 | 41 | 2022 |
Masked autoencoders enable efficient knowledge distillers Y Bai, Z Wang, J Xiao, C Wei, H Wang, AL Yuille, Y Zhou, C Xie Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 24 | 2023 |
An Inverse Scaling Law for CLIP Training X Li, Z Wang, C Xie Advances in Neural Information Processing Systems (NeurIPS), 2023 | 17 | 2023 |
On the Adversarial Robustness of Camera-based 3D Object Detection S Xie, Z Li, Z Wang, C Xie Transactions on Machine Learning Research (TMLR), 2024 | 15 | 2024 |
DistillBEV: Boosting Multi-Camera 3D Object Detection with Cross-Modal Knowledge Distillation Z Wang, D Li, C Luo, C Xie, X Yang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 8 | 2023 |
CLIPA-v2: Scaling CLIP Training with 81.1% Zero-shot ImageNet Accuracy within a\$10,000 Budget; An Extra\$4,000 Unlocks 81.8% Accuracy X Li, Z Wang, C Xie arXiv preprint arXiv:2306.15658, 2023 | 5 | 2023 |
Rejuvenating image-GPT as Strong Visual Representation Learners S Ren, Z Wang, H Zhu, J Xiao, A Yuille, C Xie International Conference on Machine Learning, 2024 | 1 | 2024 |
Sculpting Holistic 3D Representation in Contrastive Language-Image-3D Pre-training YZ Yipeng Gao, Zeyu Wang, Wei-Shi Zheng, Cihang Xie Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | | 2024 |
Revisiting Adversarial Training at Scale Z Wang, X Li, H Zhu, C Xie Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | | 2024 |
FedConv: Enhancing Convolutional Neural Networks for Handling Data Heterogeneity in Federated Learning P Xu, Z Wang, J Mei, L Qu, A Yuille, C Xie, Y Zhou Transactions on Machine Learning Research (TMLR), 2023 | | 2023 |