:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Sato, Hiroya, Ikeda, Takuya, Nishiwaki, Koichi
Format:	Preprint
Published:	2023
Subjects:	Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2305.18947
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Probabilistic Rotation Representation With an Efficiently Computable Bingham Loss Function and Its Application to Pose Estimation
by: Sato, Hiroya, et al.
Published: (2022)

ViFu: Multiple 360$^\circ$ Objects Reconstruction with Clean Background via Visible Part Fusion
by: Xu, Tianhan, et al.
Published: (2024)

A Planar-Symmetric SO(3) Representation for Learning Grasp Detection
by: Ko, Tianyi, et al.
Published: (2024)

Sim2Real Instance-Level Style Transfer for 6D Pose Estimation
by: Ikeda, Takuya, et al.
Published: (2022)

ZeroGrasp: Zero-Shot Shape Reconstruction Enabled Robotic Grasping
by: Iwase, Shun, et al.
Published: (2025)

DiffusionNOCS: Managing Symmetry and Uncertainty in Sim2Real Multi-Modal Category-level Pose Estimation
by: Ikeda, Takuya, et al.
Published: (2024)

FPDIoU Loss: A Loss Function for Efficient Bounding Box Regression of Rotated Object Detection
by: Ma, Siliang, et al.
Published: (2024)

GTR: Gaussian Splatting Tracking and Reconstruction of Unknown Objects Based on Appearance and Geometric Complexity
by: Ikeda, Takuya, et al.
Published: (2025)

PRISM: Probabilistic Representation for Integrated Shape Modeling and Generation
by: Cheng, Lei, et al.
Published: (2025)

OmniShape: Zero-Shot Multi-Hypothesis Shape and Pose Estimation in the Real World
by: Liu, Katherine, et al.
Published: (2025)

Self-Learning Symmetric Multi-view Probabilistic Clustering
by: Liu, Junjie, et al.
Published: (2023)

Linear Gaussian Bounding Box Representation and Ring-Shaped Rotated Convolution for Oriented Object Detection
by: Zhou, Zhen, et al.
Published: (2023)

GIFS: Neural Implicit Function for General Shape Representation
by: Ye, Jianglong, et al.
Published: (2022)

Polar Separable Transform for Efficient Orthogonal Rotation-Invariant Image Representation
by: Singh, Satya P., et al.
Published: (2025)

Box2Poly: Memory-Efficient Polygon Prediction of Arbitrarily Shaped and Rotated Text
by: Chen, Xuyang, et al.
Published: (2023)

Revisiting the Scale Loss Function and Gaussian-Shape Convolution for Infrared Small Target Detection
by: Li, Hao, et al.
Published: (2026)

Motion Transfer-Enhanced StyleGAN for Generating Diverse Macaque Facial Expressions
by: Igaue, Takuya, et al.
Published: (2025)

Wormhole Loss for Partial Shape Matching
by: Bracha, Amit, et al.
Published: (2024)

Probabilistic Directed Distance Fields for Ray-Based Shape Representations
by: Aumentado-Armstrong, Tristan, et al.
Published: (2024)

Optimization-Driven Statistical Models of Anatomies using Radial Basis Function Shape Representation
by: Xu, Hong, et al.
Published: (2024)

Enhancing Implicit Neural Representations via Symmetric Power Transformation
by: Zhang, Weixiang, et al.
Published: (2024)

Task-based Loss Functions in Computer Vision: A Comprehensive Review
by: Elharrouss, Omar, et al.
Published: (2025)

Representation Fréchet Loss for Visual Generation
by: Yang, Jiawei, et al.
Published: (2026)

RI-Mamba: Rotation-Invariant Mamba for Robust Text-to-Shape Retrieval
by: Nguyen, Khanh, et al.
Published: (2026)

Rotation-Agnostic Image Representation Learning for Digital Pathology
by: Alfasly, Saghir, et al.
Published: (2023)

Symmetric Multi-Similarity Loss for EPIC-KITCHENS-100 Multi-Instance Retrieval Challenge 2024
by: Wang, Xiaoqi, et al.
Published: (2024)

MonoLoss: A Training Objective for Interpretable Monosemantic Representations
by: Nasiri-Sarvi, Ali, et al.
Published: (2026)

Zero-Shot Visual Concept Blending Without Text Guidance
by: Makino, Hiroya, et al.
Published: (2025)

efunc: An Efficient Function Representation without Neural Networks
by: Zhang, Biao, et al.
Published: (2025)

Invariant Shape Representation Learning For Image Classification
by: Hossain, Tonmoy, et al.
Published: (2024)

Improved Probabilistic Image-Text Representations
by: Chun, Sanghyuk
Published: (2023)

Rethinking Rotation-Invariant Recognition of Fine-grained Shapes from the Perspective of Contour Points
by: Xu, Yanjie, et al.
Published: (2025)

DRKF: Distilled Rotated Kernel Fusion for Efficient Rotation Invariant Descriptors in Local Feature Matching
by: Huang, Ranran, et al.
Published: (2022)

Spectral State Space Model for Rotation-Invariant Visual Representation Learning
by: Dastani, Sahar, et al.
Published: (2025)

Block-based Symmetric Pruning and Fusion for Efficient Vision Transformers
by: Hsieh, Yi-Kuan, et al.
Published: (2025)

Probabilistic Vision-Language Representation for Weakly Supervised Temporal Action Localization
by: Lim, Geuntaek, et al.
Published: (2024)

Computing a Characteristic Orientation for Rotation-Independent Image Analysis
by: Valero-Abundio, Cristian, et al.
Published: (2026)

Towards Robust Probabilistic Modeling on SO(3) via Rotation Laplace Distribution
by: Yin, Yingda, et al.
Published: (2023)

Steerable Anatomical Shape Synthesis with Implicit Neural Representations
by: de Wilde, Bram, et al.
Published: (2025)

Shape Representation using Gaussian Process mixture models
by: Sapoutzoglou, Panagiotis, et al.
Published: (2026)