Search Results for author: Kenji Hata

Found 11 papers, 3 papers with code

Embracing Error to Enable Rapid Crowdsourcing

no code implementations14 Feb 2016 Ranjay Krishna, Kenji Hata, Stephanie Chen, Joshua Kravitz, David A. Shamma, Li Fei-Fei, Michael S. Bernstein

Microtask crowdsourcing has enabled dataset advances in social science and machine learning, but existing crowdsourcing schemes are too expensive to scale up with the expanding volume of data.

General Classification Sentiment Analysis +2

A Glimpse Far into the Future: Understanding Long-term Crowd Worker Quality

no code implementations15 Sep 2016 Kenji Hata, Ranjay Krishna, Li Fei-Fei, Michael S. Bernstein

Microtask crowdsourcing is increasingly critical to the creation of extremely large datasets.

ActivityNet Challenge 2017 Summary

no code implementations22 Oct 2017 Bernard Ghanem, Juan Carlos Niebles, Cees Snoek, Fabian Caba Heilbron, Humam Alwassel, Ranjay Khrisna, Victor Escorcia, Kenji Hata, Shyamal Buch

The ActivityNet Large Scale Activity Recognition Challenge 2017 Summary: results and challenge participants papers.

Activity Recognition

A Comprehensive and Versatile Multimodal Deep Learning Approach for Predicting Diverse Properties of Advanced Materials

no code implementations29 Mar 2023 Shun Muroga, Yasuaki Miki, Kenji Hata

We present a multimodal deep learning (MDL) framework for predicting physical properties of a 10-dimensional acrylic polymer composite material by merging physical attributes and chemical data.

Multimodal Deep Learning Property Prediction

Visual Program Distillation: Distilling Tools and Programmatic Reasoning into Vision-Language Models

no code implementations5 Dec 2023 Yushi Hu, Otilia Stretcu, Chun-Ta Lu, Krishnamurthy Viswanathan, Kenji Hata, Enming Luo, Ranjay Krishna, Ariel Fuxman

We propose Visual Program Distillation (VPD), an instruction tuning framework that produces a vision-language model (VLM) capable of solving complex visual tasks with a single forward pass.

Language Modelling Large Language Model +3

Real-time Autonomous Control of a Continuous Macroscopic Process as Demonstrated by Plastic Forming

no code implementations14 Dec 2023 Shun Muroga, Takashi Honda, Yasuaki Miki, Hideaki Nakajima, Don N. Futaba, Kenji Hata

To meet the demands for more adaptable and expedient approaches to augment both research and manufacturing, we report an autonomous system using real-time in-situ characterization and an autonomous, decision-making processer based on an active learning algorithm.

Active Learning Decision Making

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