20 citations · 20 across the 5 of their papers we have counts for
5 papers · 1 filter
Universal Guideline-Driven Image Clustering via a Hybrid LLM Agent
Wenliang Zhong, Rob Barton, Lucas Goncalves +7
Unifying image clustering across different clustering scenarios remains challenging due to fundamental gaps among tasks. We introduce a Guideline-Driven Image Clustering Agent, the…
Histopathology Multi-modal Embedding for Pathology Composed Retrieval
Qifeng Zhou, Wenliang Zhong, Thao M. Dang +4
To overcome the black-box nature of predictive AI and the hallucination risks of generative models, retrieval-based models offer an interpretable, evidence-based paradigm for patho…
Compositional Image Retrieval via Instruction-Aware Contrastive Learning
Wenliang Zhong, Weizhi An, Feng Jiang +3
Composed Image Retrieval (CIR) involves retrieving a target image based on a composed query of an image paired with text that specifies modifications or changes to the visual refer…
PathM3: A Multimodal Multi-Task Multiple Instance Learning Framework for Whole Slide Image Classification and Captioning
Qifeng Zhou, Wenliang Zhong, Yuzhi Guo +3
In the field of computational histopathology, both whole slide images (WSIs) and diagnostic captions provide valuable insights for making diagnostic decisions. However, aligning WS…
MIVC: Multiple Instance Visual Component for Visual-Language Models
Wenyi Wu, Qi Li, Wenliang Zhong +1
Vision-language models have been widely explored across a wide range of tasks and achieve satisfactory performance. However, it's under-explored how to consolidate entity understan…