Search Results for author:
Found 6 papers, 3 papers with code
Towards Embedding Dynamic Personas in Interactive Robots: Masquerading Animated Social Kinematics (MASK)
This paper presents the design and development of an innovative interactive robotic system to enhance audience engagement using character-like personas.
Label-Free Event-based Object Recognition via Joint Learning with Image Reconstruction from Events
To this end, we propose a joint formulation of object recognition and image reconstruction in a complementary manner.
Single Domain Generalization for LiDAR Semantic Segmentation
In this paper, we propose a single domain generalization method for LiDAR semantic segmentation (DGLSS) that aims to ensure good performance not only in the source domain but also in the unseen domain by learning only on the source domain.
Pixel-wise Deep Image Stitching
In this paper, instead of relying on the homography-based warp, we propose a novel deep image stitching framework exploiting the pixel-wise warp field to handle the large-parallax problem.
Exploring Pixel-level Self-supervision for Weakly Supervised Semantic Segmentation
In our framework, with the help of the proposed Regional Contrastive Module (RCM) and Multi-scale Attentive Module (MAM), MainNet is trained by self-supervision from the SupportNet.
Weakly supervised Semantic Segmentation
Weakly-Supervised Semantic Segmentation
Unlocking the Potential of Ordinary Classifier: Class-Specific Adversarial Erasing Framework for Weakly Supervised Semantic Segmentation
In this paper, we review the potential of the pre-trained classifier which is trained on the raw images.
Ranked #30 on
Weakly-Supervised Semantic Segmentation
on COCO 2014 val
Weakly supervised Semantic Segmentation
Weakly-Supervised Semantic Segmentation
