4 citations · 7 across the 7 of their papers we have counts for
7 papers
Learning Depth from Past Selves: Self-Evolution Contrast for Robust Depth Estimation
Jing Cao, Kui Jiang, Shenyi Li +2
Self-supervised depth estimation has gained significant attention in autonomous driving and robotics. However, existing methods exhibit substantial performance degradation under ad…
NP-LoRA: Null Space Projection for Subject-Style LoRA Fusion
Chuheng Chen, Xiaofei Zhou, Geyuan Zhang +1
Low-Rank Adaptation (LoRA) fusion enables the composition of subject and style representations for controllable generation without retraining. However, existing approaches primaril…
MoR: Mixture of Ranks for Low-Rank Adaptation Tuning
Chuanyu Tang, Yilong Chen, Zhenyu Zhang +4
Low-Rank Adaptation (LoRA) drives research to align its performance with full fine-tuning. However, significant challenges remain: (1) Simply increasing the rank size of LoRA does…
Enabling Natural Zero-Shot Prompting on Encoder Models via Statement-Tuning
Ahmed Elshabrawy, Yongxin Huang, Iryna Gurevych +1
While Large Language Models (LLMs) exhibit remarkable capabilities in zero-shot and few-shot scenarios, they often require computationally prohibitive sizes. Conversely, smaller Ma…
Low-Resource Multi-Granularity Academic Function Recognition Based on Multiple Prompt Knowledge
Jiawei Liu, Zi Xiong, Yi Jiang +4
Fine-tuning pre-trained language models (PLMs), e.g., SciBERT, generally requires large numbers of annotated data to achieve state-of-the-art performance on a range of NLP tasks in…
Explored An Effective Methodology for Fine-Grained Snake Recognition
Yong Huang, Aderon Huang, Wei Zhu +2
Fine-Grained Visual Classification (FGVC) is a longstanding and fundamental problem in computer vision and pattern recognition, and underpins a diverse set of real-world applicatio…
LNSMM: Eye Gaze Estimation With Local Network Share Multiview Multitask
Yong Huang, Ben Chen, Daiming Qu
Eye gaze estimation has become increasingly significant in computer vision.In this paper,we systematically study the mainstream of eye gaze estimation methods,propose a novel metho…