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Unadversarial Examples: Designing Objects for Robust Vision
[IROS2024] MV-ROPE: Multi-view Constraints for Robust Category-level Object Pose and Size Estimation
Robust Object Segmentation in Cluttered and Occlusion Scene (RoboSherlock perception framework))
Robust Grasping for iCub Hand under Object Position Uncertainty
Towards Practical Robustness Improvement for Object Detection in Safety-critical Scenarios
Hierarchically Robust Representation Learning
FRoG-MOT: Fast and Robust Generic Multiple-Object Tracking by IoU and Motion-State Associations
Spin + Shift - Robustness to Variations in Initial Object Placement
Robustness and Interpretability of Deep Learning Methods in Computer Vision
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Last Updated: October 2, 2026
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Showing that the agent trained to stack green on red using the approach from "A Framework for Data-Driven Robotics" is Paper: arxiv.org/abs/2003.00188 Source code: github.com/mentian/ Presented in IEEE International Conference on Robotics and Automation, Montreal Canada, May 20-24, 2019. Paper: ... SimROD: A Simple Adaptation Method for Video accompanying paper: "Unadversarial Examples: Designing Recently there has been a growing interest in category-level This video demonstrates two testing phases: - First test segments low noise cloud with high accurate segment and high ... The iCub humanoid robot accurately grasps Authors: Qi Qian, Juhua Hu, Hao Li Description: With the tremendous success of deep learning in visual tasks, the representations ... Authors: Takuya Ogawa; Takashi Shibata; Toshinori Hosoi Description: This paper proposes a generic multi- Computer Vision has been revolutionized by Machine Learning and in particular Deep Learning. End-to-end trainable models ... Demonstration of the Adversarial koide3.github.io/glil_pubdoc/ twitter.com/k_koide3.