6 citations · 13 across the 14 of their papers we have counts for
6 papers · 1 filter
Learning from Exemplars for Interactive Image Segmentation
Kun Li, Hao Cheng, George Vosselman +1
Interactive image segmentation enables users to interact minimally with a machine, facilitating the gradual refinement of the segmentation mask for a target of interest. Previous s…
Robust Shape Fitting for 3D Scene Abstraction
Florian Kluger, Eric Brachmann, Michael Ying Yang +1
Humans perceive and construct the world as an arrangement of simple parametric models. In particular, we can often describe man-made environments using volumetric primitives such a…
BuilDiff: 3D Building Shape Generation using Single-Image Conditional Point Cloud Diffusion Models
Yao Wei, George Vosselman, Michael Ying Yang
3D building generation with low data acquisition costs, such as single image-to-3D, becomes increasingly important. However, most of the existing single image-to-3D building creati…
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…
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…
Can Ground Truth Label Propagation from Video help Semantic Segmentation?
Siva Karthik Mustikovela, Michael Ying Yang, Carsten Rother
For state-of-the-art semantic segmentation task, training convolutional neural networks (CNNs) requires dense pixelwise ground truth (GT) labeling, which is expensive and involves…