activity
20192026
most citedTransFusion: Multi-view Divergent Fusion for Medical Image Segmentation with Transformers

4 citations · 8 across the 17 of their papers we have counts for

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12 papers · 1 filter

cs.CV2025

MHB: Multimodal Handshape-aware Boundary Detection for Continuous Sign Language Recognition

Mingyu Zhao, Zhanfu Yang, Yang Zhou +4

This paper employs a multimodal approach for continuous sign recognition by first using ML for detecting the start and end frames of signs in videos of American Sign Language (ASL)…

cs.CV2025

Large Sign Language Models: Toward 3D American Sign Language Translation

Sen Zhang, Xiaoxiao He, Di Liu +7

We present Large Sign Language Models (LSLM), a novel framework for translating 3D American Sign Language (ASL) by leveraging Large Language Models (LLMs) as the backbone, which ca…

cs.CV2025

Overcoming the Curvature Bottleneck in MeanFlow

Xinxi Zhang, Shiwei Tan, Quang Nguyen +7

MeanFlow offers a promising framework for one-step generative modeling by directly learning a mean-velocity field, bypassing expensive numerical integration. However, we find that…

cs.CV2025

Discrete Noise Inversion for Next-scale Autoregressive Text-based Image Editing

Quan Dao, Xiaoxiao He, Ligong Han +6

Visual autoregressive models (VAR) have recently emerged as a promising class of generative models, achieving performance comparable to diffusion models in text-to-image generation…

cs.CV2025

Can Large Vision-Language Models Detect Images Copyright Infringement from GenAI?

Qipan Xu, Zhenting Wang, Xiaoxiao He +2

Generative AI models, renowned for their ability to synthesize high-quality content, have sparked growing concerns over the improper generation of copyright-protected material. Whi…

cs.CV2025

LoR-VP: Low-Rank Visual Prompting for Efficient Vision Model Adaptation

Can Jin, Ying Li, Mingyu Zhao +6

Visual prompting has gained popularity as a method for adapting pre-trained models to specific tasks, particularly in the realm of parameter-efficient tuning. However, existing vis…

cs.CV2025

Rate-My-LoRA: Efficient and Adaptive Federated Model Tuning for Cardiac MRI Segmentation

Xiaoxiao He, Haizhou Shi, Ligong Han +7

Cardiovascular disease (CVD) and cardiac dyssynchrony are major public health problems in the United States. Precise cardiac image segmentation is crucial for extracting quantitati…

cs.CV2024

DICE: Discrete Inversion Enabling Controllable Editing for Multinomial Diffusion and Masked Generative Models

Xiaoxiao He, Quan Dao, Ligong Han +14

Discrete diffusion models have achieved success in tasks like image generation and masked language modeling but face limitations in controlled content editing. We introduce DICE (D…

cs.CV2024

New Capability to Look Up an ASL Sign from a Video Example

Carol Neidle, Augustine Opoku, Carey Ballard +4

Looking up an unknown sign in an ASL dictionary can be difficult. Most ASL dictionaries are organized based on English glosses, despite the fact that (1) there is no convention for…

cs.CV2023★ 2 cited

Improving Tuning-Free Real Image Editing with Proximal Guidance

Ligong Han, Song Wen, Qi Chen +13

DDIM inversion has revealed the remarkable potential of real image editing within diffusion-based methods. However, the accuracy of DDIM reconstruction degrades as larger classifie…

cs.CV2022★ 1 cited

Region Proposal Rectification Towards Robust Instance Segmentation of Biological Images

Qilong Zhangli, Jingru Yi, Di Liu +10

Top-down instance segmentation framework has shown its superiority in object detection compared to the bottom-up framework. While it is efficient in addressing over-segmentation, t…

cs.CV2019★ 1 cited

Effective 3D Humerus and Scapula Extraction using Low-contrast and High-shape-variability MR Data

Xiaoxiao He, Chaowei Tan, Yuting Qiao +3

For the initial shoulder preoperative diagnosis, it is essential to obtain a three-dimensional (3D) bone mask from medical images, e.g., magnetic resonance (MR). However, obtaining…