research
∙
09/03/2023
MILA: Memory-Based Instance-Level Adaptation for Cross-Domain Object Detection
Cross-domain object detection is challenging, and it involves aligning l...
share
research
∙
11/07/2022
Prompter: Utilizing Large Language Model Prompting for a Data Efficient Embodied Instruction Following
Embodied Instruction Following (EIF) studies how mobile manipulator robo...
research
∙
09/07/2022
Difficulty-Net: Learning to Predict Difficulty for Long-Tailed Recognition
Long-tailed datasets, where head classes comprise much more training sam...
research
∙
07/29/2022
Class-Difficulty Based Methods for Long-Tailed Visual Recognition
Long-tailed datasets are very frequently encountered in real-world use c...
research
∙
11/15/2021
Human-error-potential Estimation based on Wearable Biometric Sensors
This study tackles on a new problem of estimating human-error potential ...
research
∙
09/07/2021
Sensor-Augmented Egocentric-Video Captioning with Dynamic Modal Attention
Automatically describing video, or video captioning, has been widely stu...
research
∙
03/09/2021
QPIC: Query-Based Pairwise Human-Object Interaction Detection with Image-Wide Contextual Information
We propose a simple, intuitive yet powerful method for human-object inte...
research
∙
01/20/2021
Influence Estimation for Generative Adversarial Networks
Identifying harmful instances, whose absence in a training dataset impro...
research
∙
10/05/2020
Class-Wise Difficulty-Balanced Loss for Solving Class-Imbalance
Class-imbalance is one of the major challenges in real world datasets, w...
research
∙
08/02/2018
