research
∙
08/19/2023
VI-Net: Boosting Category-level 6D Object Pose Estimation via Learning Decoupled Rotations on the Spherical Representations
Rotation estimation of high precision from an RGB-D object observation i...
share
research
∙
01/30/2023
Adversarial Style Augmentation for Domain Generalization
It is well-known that the performance of well-trained deep neural networ...
research
∙
11/13/2022
Point-DAE: Denoising Autoencoders for Self-supervised Point Cloud Learning
Masked autoencoder has demonstrated its effectiveness in self-supervised...
research
∙
10/20/2022
TANGO: Text-driven Photorealistic and Robust 3D Stylization via Lighting Decomposition
Creation of 3D content by stylization is a promising yet challenging pro...
research
∙
07/07/2022
Masked Surfel Prediction for Self-Supervised Point Cloud Learning
Masked auto-encoding is a popular and effective self-supervised learning...
research
∙
04/13/2022
A fast direct solver for two dimensional quasi-periodic multilayered media scattering problems, Part II
This manuscript is the second in a series presenting fast direct solutio...
research
∙
03/18/2022
Class-Balanced Pixel-Level Self-Labeling for Domain Adaptive Semantic Segmentation
Domain adaptive semantic segmentation aims to learn a model with the sup...
research
∙
03/15/2022
Exact Feature Distribution Matching for Arbitrary Style Transfer and Domain Generalization
Arbitrary style transfer (AST) and domain generalization (DG) are import...
research
∙
08/16/2021
A fast direct solver for integral equations on locally refined boundary discretizations and its application to multiphase flow simulations
In transient simulations of particulate Stokes flow, to accurately captu...
research
∙
06/18/2021
Gradual Domain Adaptation via Self-Training of Auxiliary Models
Domain adaptation becomes more challenging with increasing gaps between ...
research
∙
06/01/2021
Semi-supervised Models are Strong Unsupervised Domain Adaptation Learners
Unsupervised domain adaptation (UDA) and semi-supervised learning (SSL) ...
research
∙
04/10/2021
On Universal Black-Box Domain Adaptation
In this paper, we study an arguably least restrictive setting of domain ...
research
∙
01/08/2021
Unsupervised Domain Adaptation of Black-Box Source Models
Unsupervised domain adaptation (UDA) aims to learn a model for unlabeled...
research
∙
07/16/2020
An alternative extended linear system for boundary value problems on locally perturbed geometries
This manuscript presents a new extended linear system for integral equat...
research
∙
07/15/2020
Label Propagation with Augmented Anchors: A Simple Semi-Supervised Learning baseline for Unsupervised Domain Adaptation
Motivated by the problem relatedness between unsupervised domain adaptat...
research
∙
02/20/2020
Unsupervised Multi-Class Domain Adaptation: Theory, Algorithms, and Practice
In this paper, we study the formalism of unsupervised multi-class domain...
research
∙
07/14/2019
A fast direct solver for two dimensional quasi-periodic multilayered medium scattering problems
This manuscript presents a fast direct solution technique for solving tw...
research
∙
04/09/2019
Domain-Symmetric Networks for Adversarial Domain Adaptation
Unsupervised domain adaptation aims to learn a model of classifier for u...
research
∙
07/28/2018
Fine-Grained Visual Categorization using Meta-Learning Optimization with Sample Selection of Auxiliary Data
Fine-grained visual categorization (FGVC) is challenging due in part to ...
research
∙
06/16/2018