Search Results for author: Kyungjun Lee

Found 6 papers, 2 papers with code

What's Different between Visual Question Answering for Machine "Understanding" Versus for Accessibility?

1 code implementation26 Oct 2022 Yang Trista Cao, Kyle Seelman, Kyungjun Lee, Hal Daumé III

We aim to answer this question by evaluating discrepancies between machine "understanding" datasets (VQA-v2) and accessibility datasets (VizWiz) by evaluating a variety of VQA models.

Benchmarking Question Answering +1

Blind Users Accessing Their Training Images in Teachable Object Recognizers

no code implementations16 Aug 2022 Jonggi Hong, Jaina Gandhi, Ernest Essuah Mensah, Farnaz Zamiri Zeraati, Ebrima Haddy Jarjue, Kyungjun Lee, Hernisa Kacorri

We explore how blind participants (N=12) interact with MyCam and the descriptors through an evaluation study in their homes.

Pedestrian Detection with Wearable Cameras for the Blind: A Two-way Perspective

no code implementations26 Mar 2020 Kyungjun Lee, Daisuke Sato, Saki Asakawa, Hernisa Kacorri, Chieko Asakawa

Blind people have limited access to information about their surroundings, which is important for ensuring one's safety, managing social interactions, and identifying approaching pedestrians.

Pedestrian Detection

Hand-Priming in Object Localization for Assistive Egocentric Vision

no code implementations28 Feb 2020 Kyungjun Lee, Abhinav Shrivastava, Hernisa Kacorri

Egocentric vision holds great promises for increasing access to visual information and improving the quality of life for people with visual impairments, with object recognition being one of the daily challenges for this population.

Hand Segmentation Multi-Task Learning +3

Crowdsourcing the Perception of Machine Teaching

no code implementations5 Feb 2020 Jonggi Hong, Kyungjun Lee, June Xu, Hernisa Kacorri

Teachable interfaces can empower end-users to attune machine learning systems to their idiosyncratic characteristics and environment by explicitly providing pertinent training examples.

Diversity Misconceptions

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