no code implementations • 25 Jan 2024 • Xi Song, Lu Yuan, Zhibo Qu, Fuhui Zhou, Qihui Wu, Tony Q. S. Quek, Rose Qingyang Hu
Unmanned aerial vehicles (UAVs) are widely used for object detection.
1 code implementation • 1 Dec 2023 • Chinmay Savadikar, Xi Song, Tianfu Wu
For the latter, in contrast to the prior art that directly introduce new model parameters (often in low-rank approximation form) to be learned in fine-tuning with downstream data, we propose a method for learning to generate the fine-tuning parameters.
1 code implementation • CVPR 2023 • Ryan Grainger, Thomas Paniagua, Xi Song, Naresh Cuntoor, Mun Wai Lee, Tianfu Wu
The proposed PaCa module is used in designing efficient and interpretable ViT backbones and semantic segmentation head networks.
4 code implementations • CVPR 2019 • Xilai Li, Xi Song, Tianfu Wu
This paper presents deep compositional grammatical architectures which harness the best of two worlds: grammar models and DNNs.
1 code implementation • 14 Nov 2017 • Tianfu Wu, Wei Sun, Xilai Li, Xi Song, Bo Li
We focus on weakly-supervised extractive rationale generation, that is learning to unfold latent discriminative part configurations of object instances automatically and simultaneously in detection without using any supervision for part configurations.
no code implementations • CVPR 2013 • Xi Song, Tianfu Wu, Yunde Jia, Song-Chun Zhu
This paper presents a method of learning reconfigurable And-Or Tree (AOT) models discriminatively from weakly annotated data for object detection.