7 citations · 12 across the 5 of their papers we have counts for
5 papers
LLM-NEO: Parameter Efficient Knowledge Distillation for Large Language Models
Runming Yang, Taiqiang Wu, Jiahao Wang +4
Knowledge distillation (KD) has been a predominant method for compressing Large Language Models (LLMs). In this paper, we first revisit KD and Low-Rank Adaption (LoRA) and demonstr…
Bridging the Gap: A Unified Video Comprehension Framework for Moment Retrieval and Highlight Detection
Yicheng Xiao, Zhuoyan Luo, Yong Liu +5
Video Moment Retrieval (MR) and Highlight Detection (HD) have attracted significant attention due to the growing demand for video analysis. Recent approaches treat MR and HD as sim…
TaleCrafter: Interactive Story Visualization with Multiple Characters
Yuan Gong, Youxin Pang, Xiaodong Cun +8
Accurate Story visualization requires several necessary elements, such as identity consistency across frames, the alignment between plain text and visual content, and a reasonable…
Multimodal Prototype-Enhanced Network for Few-Shot Action Recognition
Xinzhe Ni, Yong Liu, Hao Wen +3
Current methods for few-shot action recognition mainly fall into the metric learning framework following ProtoNet, which demonstrates the importance of prototypes. Although they ac…
MANIQA: Multi-dimension Attention Network for No-Reference Image Quality Assessment
Sidi Yang, Tianhe Wu, Shuwei Shi +5
No-Reference Image Quality Assessment (NR-IQA) aims to assess the perceptual quality of images in accordance with human subjective perception. Unfortunately, existing NR-IQA method…