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20212026
most citedInduce, Edit, Retrieve: Language Grounded Multimodal Schema for Instructional Video Retrieval

8 citations · 26 across the 18 of their papers we have counts for

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Showing 2024Show all

6 papers · 1 filter

cs.CV2024

MiRAGeNews: Multimodal Realistic AI-Generated News Detection

Runsheng Huang, Liam Dugan, Yue Yang +1

The proliferation of inflammatory or misleading "fake" news content has become increasingly common in recent years. Simultaneously, it has become easier than ever to use AI tools t…

cs.CV2024★ 1 cited

Articulate-Anything: Automatic Modeling of Articulated Objects via a Vision-Language Foundation Model

Long Le, Jason Xie, William Liang +7

Interactive 3D simulated objects are crucial in AR/VR, animations, and robotics, driving immersive experiences and advanced automation. However, creating these articulated objects…

cs.CV2024

DivScene: Towards Open-Vocabulary Object Navigation with Large Vision Language Models in Diverse Scenes

Zhaowei Wang, Hongming Zhang, Tianqing Fang +6

Large Vision-Language Models (LVLMs) have achieved significant progress in tasks like visual question answering and document understanding. However, their potential to comprehend e…

cs.CV2024

A Textbook Remedy for Domain Shifts: Knowledge Priors for Medical Image Analysis

Yue Yang, Mona Gandhi, Yufei Wang +5

While deep networks have achieved broad success in analyzing natural images, when applied to medical scans, they often fail in unexcepted situations. We investigate this challenge…

cs.LG2024★ 1 cited

A Concept-based Interpretable Model for the Diagnosis of Choroid Neoplasias using Multimodal Data

Yifan Wu, Yang Liu, Yue Yang +10

Diagnosing rare diseases presents a common challenge in clinical practice, necessitating the expertise of specialists for accurate identification. The advent of machine learning of…

cs.CV2024★ 1 cited

CoMo: Controllable Motion Generation through Language Guided Pose Code Editing

Yiming Huang, Weilin Wan, Yue Yang +3

Text-to-motion models excel at efficient human motion generation, but existing approaches lack fine-grained controllability over the generation process. Consequently, modifying sub…