activity
20172022
most citedNatural Language Guided Visual Relationship Detection

23 citations · 45 across the 16 of their papers we have counts for

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Showing cs.CVShow all

39 papers · 1 filter

cs.CV2022

SSGVS: Semantic Scene Graph-to-Video Synthesis

Yuren Cong, Jinhui Yi, Bodo Rosenhahn +1

As a natural extension of the image synthesis task, video synthesis has attracted a lot of interest recently. Many image synthesis works utilize class labels or text as guidance. H…

cs.CV20222 cited

Flow-based GAN for 3D Point Cloud Generation from a Single Image

Yao Wei, George Vosselman, Michael Ying Yang

Generating a 3D point cloud from a single 2D image is of great importance for 3D scene understanding applications. To reconstruct the whole 3D shape of the object shown in the imag…

cs.CV2021

Disentangled Lifespan Face Synthesis

Sen He, Wentong Liao, Michael Ying Yang +3

A lifespan face synthesis (LFS) model aims to generate a set of photo-realistic face images of a person's whole life, given only one snapshot as reference. The generated face image…

cs.CV20211 cited

Spatial-Temporal Transformer for Dynamic Scene Graph Generation

Yuren Cong, Wentong Liao, Hanno Ackermann +2

Dynamic scene graph generation aims at generating a scene graph of the given video. Compared to the task of scene graph generation from images, it is more challenging because of th…

cs.CV2021

Cuboids Revisited: Learning Robust 3D Shape Fitting to Single RGB Images

Florian Kluger, Hanno Ackermann, Eric Brachmann +2

Humans perceive and construct the surrounding world as an arrangement of simple parametric models. In particular, man-made environments commonly consist of volumetric primitives su…

cs.CV2021

Context-Aware Layout to Image Generation with Enhanced Object Appearance

Sen He, Wentong Liao, Michael Ying Yang +4

A layout to image (L2I) generation model aims to generate a complicated image containing multiple objects (things) against natural background (stuff), conditioned on a given layout…