activity
20132023
most citedThe Open Images Dataset V4: Unified image classification, object detection, and visual relationship detection at scale

429 citations · 880 across the 60 of their papers we have counts for

collaborators

80 papers

cs.CV2023★ 1 cited

StoryBench: A Multifaceted Benchmark for Continuous Story Visualization

Emanuele Bugliarello, Hernan Moraldo, Ruben Villegas +7

Generating video stories from text prompts is a complex task. In addition to having high visual quality, videos need to realistically adhere to a sequence of text prompts whilst be…

cs.CV2023

Encyclopedic VQA: Visual questions about detailed properties of fine-grained categories

Thomas Mensink, Jasper Uijlings, Lluis Castrejon +6

We propose Encyclopedic-VQA, a large scale visual question answering (VQA) dataset featuring visual questions about detailed properties of fine-grained categories and instances. It…

cs.CV2023★ 8 cited

NAVI: Category-Agnostic Image Collections with High-Quality 3D Shape and Pose Annotations

Varun Jampani, Kevis-Kokitsi Maninis, Andreas Engelhardt +13

Recent advances in neural reconstruction enable high-quality 3D object reconstruction from casually captured image collections. Current techniques mostly analyze their progress on…

cs.CV2023★ 1 cited

Estimating Generic 3D Room Structures from 2D Annotations

Denys Rozumnyi, Stefan Popov, Kevis-Kokitsi Maninis +2

Indoor rooms are among the most common use cases in 3D scene understanding. Current state-of-the-art methods for this task are driven by large annotated datasets. Room layouts are…

cs.CV2023

CAD-Estate: Large-scale CAD Model Annotation in RGB Videos

Kevis-Kokitsi Maninis, Stefan Popov, Matthias Nießner +1

We propose a method for annotating videos of complex multi-object scenes with a globally-consistent 3D representation of the objects. We annotate each object with a CAD model from…

cs.CV2023

Tracking by 3D Model Estimation of Unknown Objects in Videos

Denys Rozumnyi, Jiri Matas, Marc Pollefeys +2

Most model-free visual object tracking methods formulate the tracking task as object location estimation given by a 2D segmentation or a bounding box in each video frame. We argue…