2 citations · 3 across the 20 of their papers we have counts for
17 papers · 1 filter
AcFlow: Controlling Text-to-Image Diffusion Transformers via Learned Conditional Activation Flow
Junran Wang, Zehao Jin, Tianyu Luan +3
Text-to-image diffusion transformers (DiTs) are powerful generators, yet direct prompting provides limited control interface for style intensity and can fail to suppress unwanted c…
Attribute Retrieving for Open-Vocabulary Endoscopic Compositional Referring Segmentation
Shun Liu, Nan Xi, Yang Liu +3
Referring Image Segmentation (RIS) aims to segment image regions specified by natural language, enabling fine-grained and controllable visual understanding. Extending RIS to endosc…
FairLLaVA: Fairness-Aware Parameter-Efficient Fine-Tuning for Large Vision-Language Assistants
Mahesh Bhosale, Abdul Wasi, Shantam Srivastava +5
While powerful in image-conditioned generation, multimodal large language models (MLLMs) can display uneven performance across demographic groups, highlighting fairness risks. In s…
VLM-Guided Iterative Refinement for Surgical Image Segmentation with Foundation Models
Ange Lou, Yamin Li, Qi Chang +4
Surgical image segmentation is essential for robot-assisted surgery and intraoperative guidance. However, existing methods are constrained to predefined categories, produce one-sho…
Textured Geometry Evaluation: Perceptual 3D Textured Shape Metric via 3D Latent-Geometry Network
Tianyu Luan, Xuelu Feng, Zixin Zhu +6
Textured high-fidelity 3D models are crucial for games, AR/VR, and film, but human-aligned evaluation methods still fall behind despite recent advances in 3D reconstruction and gen…
SRAM: Shape-Realism Alignment Metric for No Reference 3D Shape Evaluation
Sheng Liu, Tianyu Luan, Phani Nuney +2
3D generation and reconstruction techniques have been widely used in computer games, film, and other content creation areas. As the application grows, there is a growing demand for…
PP-Motion: Physical-Perceptual Fidelity Evaluation for Human Motion Generation
Sihan Zhao, Zixuan Wang, Tianyu Luan +5
Human motion generation has found widespread applications in AR/VR, film, sports, and medical rehabilitation, offering a cost-effective alternative to traditional motion capture sy…
DaRePlane: Direction-aware Representations for Dynamic Scene Reconstruction
Ange Lou, Benjamin Planche, Zhongpai Gao +7
Numerous recent approaches to modeling and re-rendering dynamic scenes leverage plane-based explicit representations, addressing slow training times associated with models like neu…
AnatoMask: Enhancing Medical Image Segmentation with Reconstruction-guided Self-masking
Yuheng Li, Tianyu Luan, Yizhou Wu +3
Due to the scarcity of labeled data, self-supervised learning (SSL) has gained much attention in 3D medical image segmentation, by extracting semantic representations from unlabele…
Divide and Fuse: Body Part Mesh Recovery from Partially Visible Human Images
Tianyu Luan, Zhongpai Gao, Luyuan Xie +8
We introduce a novel bottom-up approach for human body mesh reconstruction, specifically designed to address the challenges posed by partial visibility and occlusion in input image…
pFLFE: Cross-silo Personalized Federated Learning via Feature Enhancement on Medical Image Segmentation
Luyuan Xie, Manqing Lin, Siyuan Liu +6
In medical image segmentation, personalized cross-silo federated learning (FL) is becoming popular for utilizing varied data across healthcare settings to overcome data scarcity an…
DaReNeRF: Direction-aware Representation for Dynamic Scenes
Ange Lou, Benjamin Planche, Zhongpai Gao +6
Addressing the intricate challenge of modeling and re-rendering dynamic scenes, most recent approaches have sought to simplify these complexities using plane-based explicit represe…
Spectrum AUC Difference (SAUCD): Human-aligned 3D Shape Evaluation
Tianyu Luan, Zhong Li, Lele Chen +4
Existing 3D mesh shape evaluation metrics mainly focus on the overall shape but are usually less sensitive to local details. This makes them inconsistent with human evaluation, as…
FSC: Few-point Shape Completion
Xianzu Wu, Xianfeng Wu, Tianyu Luan +3
While previous studies have demonstrated successful 3D object shape completion with a sufficient number of points, they often fail in scenarios when a few points, e.g. tens of poin…
Towards Generic Image Manipulation Detection with Weakly-Supervised Self-Consistency Learning
Yuanhao Zhai, Tianyu Luan, David Doermann +1
As advanced image manipulation techniques emerge, detecting the manipulation becomes increasingly important. Despite the success of recent learning-based approaches for image manip…
Language-guided Human Motion Synthesis with Atomic Actions
Yuanhao Zhai, Mingzhen Huang, Tianyu Luan +5
Language-guided human motion synthesis has been a challenging task due to the inherent complexity and diversity of human behaviors. Previous methods face limitations in generalizat…
High Fidelity 3D Hand Shape Reconstruction via Scalable Graph Frequency Decomposition
Tianyu Luan, Yuanhao Zhai, Jingjing Meng +4
Despite the impressive performance obtained by recent single-image hand modeling techniques, they lack the capability to capture sufficient details of the 3D hand mesh. This defici…