2 citations · 2 across the 7 of their papers we have counts for
8 papers
ArtPro: Self-Supervised Articulated Object Reconstruction with Adaptive Integration of Mobility Proposals
Xuelu Li, Zhaonan Wang, Xiaogang Wang +3
Reconstructing articulated objects into high-fidelity digital twins is crucial for applications such as robotic manipulation and interactive simulation. Recent self-supervised meth…
PIXELS: Progressive Image Xemplar-based Editing with Latent Surgery
Shristi Das Biswas, Matthew Shreve, Xuelu Li +2
Recent advancements in language-guided diffusion models for image editing are often bottle-necked by cumbersome prompt engineering to precisely articulate desired changes. An intui…
A Simple Strategy for Body Estimation from Partial-View Images
Yafei Mao, Xuelu Li, Brandon Smith +2
Virtual try-on and product personalization have become increasingly important in modern online shopping, highlighting the need for accurate body measurement estimation. Although pr…
Maturity-Aware Active Learning for Semantic Segmentation with Hierarchically-Adaptive Sample Assessment
Amirsaeed Yazdani, Xuelu Li, Vishal Monga
Active Learning (AL) for semantic segmentation is challenging due to heavy class imbalance and different ways of defining "sample" (pixels, areas, etc.), leaving the interpretation…
NTIRE 2020 Challenge on NonHomogeneous Dehazing
Codruta O. Ancuti, Cosmin Ancuti, Florin-Alexandru Vasluianu +49
This paper reviews the NTIRE 2020 Challenge on NonHomogeneous Dehazing of images (restoration of rich details in hazy image). We focus on the proposed solutions and their results e…
Group Based Deep Shared Feature Learning for Fine-grained Image Classification
Xuelu Li, Vishal Monga
Fine-grained image classification has emerged as a significant challenge because objects in such images have small inter-class visual differences but with large variations in pose,…
Collaborative Sparse Priors for Infrared Image Multi-view ATR
Xuelu Li, Vishal Monga
Feature extraction from infrared (IR) images remains a challenging task. Learning based methods that can work on raw imagery/patches have therefore assumed significance. We propose…
Analysis-synthesis model learning with shared features: a new framework for histopathological image classification
Xuelu Li, Vishal Monga, U. K. Arvind Rao
Automated histopathological image analysis offers exciting opportunities for the early diagnosis of several medical conditions including cancer. There are however stiff practical c…