2 citations · 5 across the 14 of their papers we have counts for
4 papers · 1 filter
Learning Visual Speech Representations via Cross-Modal Distillation and Joint Face-Lip Modeling
Jing-Xuan Zhang, Genshun Wan, Jianqing Gao +3
Lipreading remains challenging due to the inherent ambiguity of visual speech cues and their sensitivity to head pose and video resolution. In this work, we propose FLARE, a framew…
SubRot: Signed Gradient Subspace Calibration for VLM Rotation Quantization
Zhenhao Shang, Haizhao Jing, Haokui Zhang +4
Post-training quantization reduces the deployment cost of vision-language models (VLMs), but preserving multimodal capabilities at low bit widths remains challenging. Existing meth…
Rethinking Practical and Efficient Quantization Calibration for Vision-Language Models
Zhenhao Shang, Haizhao Jing, Guoting Wei +4
Post-training quantization (PTQ) is a primary approach for deploying large language models without fine-tuning, and the quantized performance is often strongly affected by the cali…
FPI-Det: a face--phone Interaction Dataset for phone-use detection and understanding
Jianqin Gao, Tianqi Wang, Yu Zhang +4
The widespread use of mobile devices has created new challenges for vision systems in safety monitoring, workplace productivity assessment, and attention management. Detecting whet…