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cs.CV2026

X-PCR: A Benchmark for Cross-modality Progressive Clinical Reasoning in Ophthalmic Diagnosis

Gui Wang, Zehao Zhong, YongSong Zhou +6

Despite significant progress in Multi-modal Large Language Models (MLLMs), their clinical reasoning capacity for multi-modal diagnosis remains largely unexamined. Current benchmark…

cs.CV2026

SurgCoT: Advancing Spatiotemporal Reasoning in Surgical Videos through a Chain-of-Thought Benchmark

Gui Wang, YongSong Zhou, Kaijun Deng +4

Fine-grained spatiotemporal reasoning on surgical videos is critical, yet the capabilities of Multi-modal Large Language Models (MLLMs) in this domain remain largely unexplored. To…

cs.CV2026

Text-Conditioned Multi-Expert Regression Framework for Fully Automated Multi-Abutment Design

Mianjie Zheng, Xinquan Yang, Xuefen Liu +4

Dental implant abutments serve as the geometric and biomechanical interface between the implant fixture and the prosthetic crown, yet their design relies heavily on manual effort a…

cs.CV2025

FineXtrol: Controllable Motion Generation via Fine-Grained Text

Keming Shen, Bizhu Wu, Junliang Chen +2

Recent works have sought to enhance the controllability and precision of text-driven motion generation. Some approaches leverage large language models (LLMs) to produce more detail…

cs.CV2025

EyePCR: A Comprehensive Benchmark for Fine-Grained Perception, Knowledge Comprehension and Clinical Reasoning in Ophthalmic Surgery

Gui Wang, Yang Wennuo, Xusen Ma +7

MLLMs (Multimodal Large Language Models) have showcased remarkable capabilities, but their performance in high-stakes, domain-specific scenarios like surgical settings, remains lar…

cs.CV2025

DisFaceRep: Representation Disentanglement for Co-occurring Facial Components in Weakly Supervised Face Parsing

Xiaoqin Wang, Xianxu Hou, Meidan Ding +4

Face parsing aims to segment facial images into key components such as eyes, lips, and eyebrows. While existing methods rely on dense pixel-level annotations, such annotations are…