5 citations · 5 across the 4 of their papers we have counts for
5 papers
PhaseQuant: Mitigating Activation Quantization Collapse via Residual-Stream Dynamics
Zimo Zhao, Maolin Wang, Bowen Yu +3
Post-training quantization (PTQ) is essential for efficient large language model (LLM) inference, but reliably quantizing activations remains challenging when weights, activations,…
Beyond Language: Grounding Referring Expressions with Hand Pointing in Egocentric Vision
Ling Li, Bowen Liu, Zinuo Zhan +4
Traditional Visual Grounding (VG) predominantly relies on textual descriptions to localize objects, a paradigm that inherently struggles with linguistic ambiguity and often ignores…
How to Utilize Complementary Vision-Text Information for 2D Structure Understanding
Jiancheng Dong, Pengyue Jia, Derong Xu +9
LLMs typically linearize 2D tables into 1D sequences to fit their autoregressive architecture, which weakens row-column adjacency and other layout cues. In contrast, purely visual…
Mask What Matters: Controllable Text-Guided Masking for Self-Supervised Medical Image Analysis
Ruilang Wang, Shuotong Xu, Bowen Liu +3
The scarcity of annotated data in specialized domains such as medical imaging presents significant challenges to training robust vision models. While self-supervised masked image m…
YOLO-pdd: A Novel Multi-scale PCB Defect Detection Method Using Deep Representations with Sequential Images
Bowen Liu, Dongjie Chen, Xiao Qi
With the rapid growth of the PCB manufacturing industry, there is an increasing demand for computer vision inspection to detect defects during production. Improving the accuracy an…