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20172026
most citedCollapse by Conditioning: Training Class-conditional GANs with Limited Data

16 citations · 74 across the 117 of their papers we have counts for

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Showing 2020 · cs.CVShow all

9 papers · 2 filters

cs.CV2020

Cluster, Split, Fuse, and Update: Meta-Learning for Open Compound Domain Adaptive Semantic Segmentation

Rui Gong, Yuhua Chen, Danda Pani Paudel +5

Open compound domain adaptation (OCDA) is a domain adaptation setting, where target domain is modeled as a compound of multiple unknown homogeneous domains, which brings the advant…

cs.CV2020

Unsupervised Monocular Depth Reconstruction of Non-Rigid Scenes

Ayça Takmaz, Danda Pani Paudel, Thomas Probst +3

Monocular depth reconstruction of complex and dynamic scenes is a highly challenging problem. While for rigid scenes learning-based methods have been offering promising results eve…

cs.CV2020

CompositeTasking: Understanding Images by Spatial Composition of Tasks

Nikola Popovic, Danda Pani Paudel, Thomas Probst +2

We define the concept of CompositeTasking as the fusion of multiple, spatially distributed tasks, for various aspects of image understanding. Learning to perform spatially distribu…

cs.CV2020

Understanding Bird's-Eye View of Road Semantics using an Onboard Camera

Yigit Baran Can, Alexander Liniger, Ozan Unal +2

Autonomous navigation requires scene understanding of the action-space to move or anticipate events. For planner agents moving on the ground plane, such as autonomous vehicles, thi…

cs.CV2020★ 2 cited

Facial Emotion Recognition with Noisy Multi-task Annotations

Siwei Zhang, Zhiwu Huang, Danda Pani Paudel +1

Human emotions can be inferred from facial expressions. However, the annotations of facial expressions are often highly noisy in common emotion coding models, including categorical…

cs.CV2020

Learning Condition Invariant Features for Retrieval-Based Localization from 1M Images

Janine Thoma, Danda Pani Paudel, Ajad Chhatkuli +1

Image features for retrieval-based localization must be invariant to dynamic objects (e.g. cars) as well as seasonal and daytime changes. Such invariances are, up to some extent, l…