17 citations · 64 across the 32 of their papers we have counts for
6 papers · 1 filter
An Evaluation of GPT-4V and Gemini in Online VQA
Mengchen Liu, Chongyan Chen, Danna Gurari
While there is much excitement about the potential of large multimodal models (LMM), a comprehensive evaluation is critical to establish their true capabilities and limitations. In…
Fully Authentic Visual Question Answering Dataset from Online Communities
Chongyan Chen, Mengchen Liu, Noel Codella +3
Visual Question Answering (VQA) entails answering questions about images. We introduce the first VQA dataset in which all contents originate from an authentic use case. Sourced fro…
VQA Therapy: Exploring Answer Differences by Visually Grounding Answers
Chongyan Chen, Samreen Anjum, Danna Gurari
Visual question answering is a task of predicting the answer to a question about an image. Given that different people can provide different answers to a visual question, we aim to…
Interactive Segmentation for Diverse Gesture Types Without Context
Josh Myers-Dean, Yifei Fan, Brian Price +2
Interactive segmentation entails a human marking an image to guide how a model either creates or edits a segmentation. Our work addresses limitations of existing methods: they eith…
Helping Visually Impaired People Take Better Quality Pictures
Maniratnam Mandal, Deepti Ghadiyaram, Danna Gurari +1
Perception-based image analysis technologies can be used to help visually impaired people take better quality pictures by providing automated guidance, thereby empowering them to i…
Salient Object Detection for Images Taken by People With Vision Impairments
Jarek Reynolds, Chandra Kanth Nagesh, Danna Gurari
Salient object detection is the task of producing a binary mask for an image that deciphers which pixels belong to the foreground object versus background. We introduce a new salie…