Search Results for author:
Found 6 papers, 3 papers with code
Towards Autonomous UAV Visual Object Search in City Space: Benchmark and Agentic Methodology
While promising, the performance gap compared to humans highlights the need for better semantic reasoning and spatial exploration capabilities in AVOS tasks.
TG-LMM: Enhancing Medical Image Segmentation Accuracy through Text-Guided Large Multi-Modal Model
We propose TG-LMM (Text-Guided Large Multi-Modal Model), a novel approach that leverages textual descriptions of organs to enhance segmentation accuracy in medical images.
Quality assurance of organs-at-risk delineation in radiotherapy
Automatic segmentation can be used to reduce the physician workload and improve the consistency.
A Survey of Resource-efficient LLM and Multimodal Foundation Models
Large foundation models, including large language models (LLMs), vision transformers (ViTs), diffusion, and LLM-based multimodal models, are revolutionizing the entire machine learning lifecycle, from training to deployment.
Unpaired Image-to-Image Translation using Adversarial Consistency Loss
Cycle-consistency loss is a widely used constraint for such problems.
DLGAN: Disentangling Label-Specific Fine-Grained Features for Image Manipulation
By mapping the discrete label-specific attribute features into a continuous prior distribution, we leverage the advantages of both discrete labels and reference images to achieve image manipulation in a hybrid fashion.
