research
∙
07/06/2023
A Critical Look at the Current Usage of Foundation Model for Dense Recognition Task
In recent years large model trained on huge amount of cross-modality dat...
share
research
∙
04/20/2023
Noisy Universal Domain Adaptation via Divergence Optimization for Visual Recognition
To transfer the knowledge learned from a labeled source domain to an unl...
research
∙
09/21/2022
Recipe Generation from Unsegmented Cooking Videos
This paper tackles recipe generation from unsegmented cooking videos, a ...
research
∙
09/13/2022
Visual Recipe Flow: A Dataset for Learning Visual State Changes of Objects with Recipe Flows
We present a new multimodal dataset called Visual Recipe Flow, which ena...
research
∙
02/04/2022
Edge-Selective Feature Weaving for Point Cloud Matching
This paper tackles the problem of accurately matching the points of two ...
research
∙
07/06/2021
Foreground-Aware Stylization and Consensus Pseudo-Labeling for Domain Adaptation of First-Person Hand Segmentation
Hand segmentation is a crucial task in first-person vision. Since first-...
research
∙
04/28/2021
Removing Word-Level Spurious Alignment between Images and Pseudo-Captions in Unsupervised Image Captioning
Unsupervised image captioning is a challenging task that aims at generat...
research
∙
04/01/2021
Divergence Optimization for Noisy Universal Domain Adaptation
Universal domain adaptation (UniDA) has been proposed to transfer knowle...
research
∙
01/22/2020
Partially-Shared Variational Auto-encoders for Unsupervised Domain Adaptation with Target Shift
This paper proposes a novel approach for unsupervised domain adaptation ...
research
∙
05/23/2019
Decentralized Learning of Generative Adversarial Networks from Multi-Client Non-iid Data
This work addresses a new problem of learning generative adversarial net...
research
∙
04/09/2018
Photometric Stereo in Participating Media Considering Shape-Dependent Forward Scatter
Images captured in participating media such as murky water, fog, or smok...
research
∙
03/03/2017