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20152024
most citedSwapout: Learning an ensemble of deep architectures

121 citations · 465 across the 32 of their papers we have counts for

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Showing 2019Show all

7 papers · 1 filter

cs.CV2019

Boundary Cues for 3D Object Shape Recovery

Kevin Karsch, Zicheng Liao, Jason Rock +2

Early work in computer vision considered a host of geometric cues for both shape reconstruction and recognition. However, since then, the vision community has focused heavily on sh…

cs.GR2019

Rendering Synthetic Objects into Legacy Photographs

Kevin Karsch, Varsha Hedau, David Forsyth +1

We propose a method to realistically insert synthetic objects into existing photographs without requiring access to the scene or any additional scene measurements. With a single im…

cs.LG2019★ 47 cited

Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion

Hongxu Yin, Pavlo Molchanov, Zhizhong Li +5

We introduce DeepInversion, a new method for synthesizing images from the image distribution used to train a deep neural network. We 'invert' a trained network (teacher) to synthes…

cs.CV2019★ 8 cited

Manhattan Room Layout Reconstruction from a Single 360 image: A Comparative Study of State-of-the-art Methods

Chuhang Zou, Jheng-Wei Su, Chi-Han Peng +5

Recent approaches for predicting layouts from 360 panoramas produce excellent results. These approaches build on a common framework consisting of three steps: a pre-processing step…

cs.CV2019

ViCo: Word Embeddings from Visual Co-occurrences

Tanmay Gupta, Alexander Schwing, Derek Hoiem

We propose to learn word embeddings from visual co-occurrences. Two words co-occur visually if both words apply to the same image or image region. Specifically, we extract four typ…

cs.CV2019

Task-Assisted Domain Adaptation with Anchor Tasks

Zhizhong Li, Linjie Luo, Sergey Tulyakov +2

Some tasks, such as surface normals or single-view depth estimation, require per-pixel ground truth that is difficult to obtain on real images but easy to obtain on synthetic. Howe…

cs.CV2019

Silhouette Guided Point Cloud Reconstruction beyond Occlusion

Chuhang Zou, Derek Hoiem

One major challenge in 3D reconstruction is to infer the complete shape geometry from partial foreground occlusions. In this paper, we propose a method to reconstruct the complete…