1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.AI2025
LISAT: Language-Instructed Segmentation Assistant for Satellite Imagery
Jerome Quenum, Wen-Han Hsieh, Tsung-Han Wu +3
Segmentation models can recognize a pre-defined set of objects in images. However, models that can reason over complex user queries that implicitly refer to multiple objects of int…
cs.CV2024★ 1 cited
Visual Haystacks: A Vision-Centric Needle-In-A-Haystack Benchmark
Tsung-Han Wu, Giscard Biamby, Jerome Quenum +4
Large Multimodal Models (LMMs) have made significant strides in visual question-answering for single images. Recent advancements like long-context LMMs have allowed them to ingest…
cs.RO2024
LLARVA: Vision-Action Instruction Tuning Enhances Robot Learning
Dantong Niu, Yuvan Sharma, Giscard Biamby +5
In recent years, instruction-tuned Large Multimodal Models (LMMs) have been successful at several tasks, including image captioning and visual question answering; yet leveraging th…