1 citations · 1 across the 10 of their papers we have counts for
10 papers
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…
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…
PathDiff: Histopathology Image Synthesis with Unpaired Text and Mask Conditions
Mahesh Bhosale, Abdul Wasi, Yuanhao Zhai +7
Diffusion-based generative models have shown promise in synthesizing histopathology images to address data scarcity caused by privacy constraints. Diagnostic text reports provide h…
IDOL: Unified Dual-Modal Latent Diffusion for Human-Centric Joint Video-Depth Generation
Yuanhao Zhai, Kevin Lin, Linjie Li +7
Significant advances have been made in human-centric video generation, yet the joint video-depth generation problem remains underexplored. Most existing monocular depth estimation…
Motion Consistency Model: Accelerating Video Diffusion with Disentangled Motion-Appearance Distillation
Yuanhao Zhai, Kevin Lin, Zhengyuan Yang +6
Image diffusion distillation achieves high-fidelity generation with very few sampling steps. However, applying these techniques directly to video diffusion often results in unsatis…
ChartReformer: Natural Language-Driven Chart Image Editing
Pengyu Yan, Mahesh Bhosale, Jay Lal +2
Chart visualizations are essential for data interpretation and communication; however, most charts are only accessible in image format and lack the corresponding data tables and su…
The Analysis and Extraction of Structure from Organizational Charts
Nikhil Manali, David Doermann, Mahesh Desai
Organizational charts, also known as org charts, are critical representations of an organization's structure and the hierarchical relationships between its components and positions…
Player Re-Identification Using Body Part Appearences
Mahesh Bhosale, Abhishek Kumar, David Doermann
We propose a neural network architecture that learns body part appearances for soccer player re-identification. Our model consists of a two-stream network (one stream for appearanc…
SOAR: Scene-debiasing Open-set Action Recognition
Yuanhao Zhai, Ziyi Liu, Zhenyu Wu +5
Deep learning models have a risk of utilizing spurious clues to make predictions, such as recognizing actions based on the background scene. This issue can severely degrade the ope…
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…