23 citations · 27 across the 4 of their papers we have counts for
4 papers
A Case Study of Selected PTQ Baselines for Reasoning LLMs on Ascend NPU
Yuchen Luo, Fangyue Zhu, Ruining Zhou +4
Post-Training Quantization (PTQ) is crucial for efficient model deployment, yet its effectiveness on Ascend NPU remains under-explored compared to GPU architectures. This paper pre…
Towards Accurate Text-based Image Captioning with Content Diversity Exploration
Guanghui Xu, Shuaicheng Niu, Mingkui Tan +3
Text-based image captioning (TextCap) which aims to read and reason images with texts is crucial for a machine to understand a detailed and complex scene environment, considering t…
Generalizing Face Forgery Detection with High-frequency Features
Yuchen Luo, Yong Zhang, Junchi Yan +1
Current face forgery detection methods achieve high accuracy under the within-database scenario where training and testing forgeries are synthesized by the same algorithm. However,…
RGB-D Individual Segmentation
Wenqiang Xu, Yanjun Fu, Yuchen Luo +2
Fine-grained recognition task deals with sub-category classification problem, which is important for real-world applications. In this work, we are particularly interested in the se…