665 citations · 990 across the 48 of their papers we have counts for
6 papers · 2 filters
Interactive Image Segmentation with Cross-Modality Vision Transformers
Kun Li, George Vosselman, Michael Ying Yang
Interactive image segmentation aims to segment the target from the background with the manual guidance, which takes as input multimodal data such as images, clicks, scribbles, and…
SPAN: Learning Similarity between Scene Graphs and Images with Transformers
Yuren Cong, Wentong Liao, Bodo Rosenhahn +1
Learning similarity between scene graphs and images aims to estimate a similarity score given a scene graph and an image. There is currently no research dedicated to this task, alt…
LAformer: Trajectory Prediction for Autonomous Driving with Lane-Aware Scene Constraints
Mengmeng Liu, Hao Cheng, Lin Chen +5
Trajectory prediction for autonomous driving must continuously reason the motion stochasticity of road agents and comply with scene constraints. Existing methods typically rely on…
Generating Evidential BEV Maps in Continuous Driving Space
Yunshuang Yuan, Hao Cheng, Michael Ying Yang +1
Safety is critical for autonomous driving, and one aspect of improving safety is to accurately capture the uncertainties of the perception system, especially knowing the unknown. D…
HRVQA: A Visual Question Answering Benchmark for High-Resolution Aerial Images
Kun Li, George Vosselman, Michael Ying Yang
Visual question answering (VQA) is an important and challenging multimodal task in computer vision. Recently, a few efforts have been made to bring VQA task to aerial images, due t…
Attribute-Centric Compositional Text-to-Image Generation
Yuren Cong, Martin Renqiang Min, Li Erran Li +2
Despite the recent impressive breakthroughs in text-to-image generation, generative models have difficulty in capturing the data distribution of underrepresented attribute composit…