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Found 11 papers, 3 papers with code
Real-time Autonomous Control of a Continuous Macroscopic Process as Demonstrated by Plastic Forming
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.
Visual Program Distillation: Distilling Tools and Programmatic Reasoning into Vision-Language Models
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.
Ranked #1 on
Meme Classification
on Hateful Memes
Learning to Detect Touches on Cluttered Tables
We present a novel self-contained camera-projector tabletop system with a lamp form-factor that brings digital intelligence to our tables.
A Comprehensive and Versatile Multimodal Deep Learning Approach for Predicting Diverse Properties of Advanced Materials
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.
Agile Modeling: From Concept to Classifier in Minutes
In reaction, we introduce the problem of Agile Modeling: the process of turning any subjective visual concept into a computer vision model through a real-time user-in-the-loop interactions.
Towards Fairness in Visual Recognition: Effective Strategies for Bias Mitigation
We design a simple but surprisingly effective visual recognition benchmark for studying bias mitigation.
Ranked #1 on
Out-of-Distribution Generalization
on UrbanCars
ActivityNet Challenge 2017 Summary
The ActivityNet Large Scale Activity Recognition Challenge 2017 Summary: results and challenge participants papers.
Dense-Captioning Events in Videos
We also introduce ActivityNet Captions, a large-scale benchmark for dense-captioning events.
A Glimpse Far into the Future: Understanding Long-term Crowd Worker Quality
Microtask crowdsourcing is increasingly critical to the creation of extremely large datasets.
Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations
Despite progress in perceptual tasks such as image classification, computers still perform poorly on cognitive tasks such as image description and question answering.
Embracing Error to Enable Rapid Crowdsourcing
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.
