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20232026
most citedMultimodal Large Language Models for Bioimage Analysis

21 citations · 24 across the 18 of their papers we have counts for

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Showing 2024Show all

7 papers · 1 filter

cs.LG2024

Proactive Gradient Conflict Mitigation in Multi-Task Learning: A Sparse Training Perspective

Zhi Zhang, Jiayi Shen, Congfeng Cao +5

Advancing towards generalist agents necessitates the concurrent processing of multiple tasks using a unified model, thereby underscoring the growing significance of simultaneous mo…

cs.CV2024

Training-free Regional Prompting for Diffusion Transformers

Anthony Chen, Jianjin Xu, Wenzhao Zheng +5

Diffusion models have demonstrated excellent capabilities in text-to-image generation. Their semantic understanding (i.e., prompt following) ability has also been greatly improved…

cs.NE2024

SAN: Hypothesizing Long-Term Synaptic Development and Neural Engram Mechanism in Scalable Model's Parameter-Efficient Fine-Tuning

Gaole Dai, Chun-Kai Fan, Yiming Tang +7

Advances in Parameter-Efficient Fine-Tuning (PEFT) bridged the performance gap with Full Fine-Tuning (FFT) through sophisticated analysis of pre-trained parameter spaces. Starting…

cs.AI2024★ 21 cited

Multimodal Large Language Models for Bioimage Analysis

Shanghang Zhang, Gaole Dai, Tiejun Huang +1

Rapid advancements in imaging techniques and analytical methods over the past decade have revolutionized our ability to comprehensively probe the biological world at multiple scale…

cs.AI2024

Implicit Neural Image Field for Biological Microscopy Image Compression

Gaole Dai, Cheng-Ching Tseng, Qingpo Wuwu +9

The rapid pace of innovation in biological microscopy imaging has led to large images, putting pressure on data storage and impeding efficient sharing, management, and visualizatio…

cs.CV2024

Decomposing the Neurons: Activation Sparsity via Mixture of Experts for Continual Test Time Adaptation

Rongyu Zhang, Aosong Cheng, Yulin Luo +8

Continual Test-Time Adaptation (CTTA), which aims to adapt the pre-trained model to ever-evolving target domains, emerges as an important task for vision models. As current vision…

cs.CV2024★ 1 cited

SpikeNVS: Enhancing Novel View Synthesis from Blurry Images via Spike Camera

Gaole Dai, Zhenyu Wang, Qinwen Xu +5

One of the most critical factors in achieving sharp Novel View Synthesis (NVS) using neural field methods like Neural Radiance Fields (NeRF) and 3D Gaussian Splatting (3DGS) is the…