no code implementations • 12 Dec 2023 • Yuxiang Guo
For this problem, we present Shifted Cross Chunk Attention (SCCA), using different KV shifting strategy to extend respective field in each attention layer.
no code implementations • 27 Nov 2023 • Yuxiang Guo, Anshul Shah, Jiang Liu, Ayush Gupta, Rama Chellappa, Cheng Peng
Gait recognition holds the promise to robustly identify subjects based on walking patterns instead of appearance information.
no code implementations • 27 Nov 2023 • Jiang Liu, Chen Wei, Yuxiang Guo, Heng Yu, Alan Yuille, Soheil Feizi, Chun Pong Lau, Rama Chellappa
We propose Instruct2Attack (I2A), a language-guided semantic attack that generates semantically meaningful perturbations according to free-form language instructions.
no code implementations • 27 Nov 2023 • Siyuan Huang, Yifan Zhou, Ram Prabhakar, Xijun Liu, Yuxiang Guo, Hongrui Yi, Cheng Peng, Rama Chellappa, Chun Pong Lau
To address these limitations, we propose a Local Semantic Extraction (LSE) module inspired by Interactive Segmentation Models.
1 code implementation • 5 Sep 2023 • Yuxiang Guo, Xiaopeng Gao, Zhenyu Zhang, W. K. Chan, Bo Jiang
These findings emphasize the effectiveness of transformer-based pre-trained models in JIT defect prediction tasks, especially in scenarios with limited training data.
no code implementations • 27 Jul 2023 • Yuxiang Guo, Cheng Peng, Ram Prabhakar, Chun Pong Lau, Rama Chellappa
Gait recognition holds the promise of robustly identifying subjects based on their walking patterns instead of color information.
no code implementations • 8 Oct 2022 • Yuxiang Guo, Cheng Peng, Chun Pong Lau, Rama Chellappa
In this work, we propose Dual-Modal Ensemble (DME), which combines both RGB and silhouette data to achieve more robust performances for indoor and outdoor whole-body based recognition.