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20182022
most citedProgressive Domain Adaptation for Object Detection

25 citations · 68 across the 23 of their papers we have counts for

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Showing 2019Show all

7 papers · 1 filter

cs.CV2019

End-to-end Training of CNN-CRF via Differentiable Dual-Decomposition

Shaofei Wang, Vishnu Lokhande, Maneesh Singh +2

Modern computer vision (CV) is often based on convolutional neural networks (CNNs) that excel at hierarchical feature extraction. The previous generation of CV approaches was often…

cs.CV2019

Wavelets to the Rescue: Improving Sample Quality of Latent Variable Deep Generative Models

Prashnna K Gyawali, Rudra Saha, Linwei Wang +2

Variational Autoencoders (VAE) are probabilistic deep generative models underpinned by elegant theory, stable training processes, and meaningful manifold representations. However,…

cs.CV2019★ 25 cited

Progressive Domain Adaptation for Object Detection

Han-Kai Hsu, Chun-Han Yao, Yi-Hsuan Tsai +4

Recent deep learning methods for object detection rely on a large amount of bounding box annotations. Collecting these annotations is laborious and costly, yet supervised models do…

cs.CL2019★ 2 cited

Sampling Bias in Deep Active Classification: An Empirical Study

Ameya Prabhu, Charles Dognin, Maneesh Singh

The exploding cost and time needed for data labeling and model training are bottlenecks for training DNN models on large datasets. Identifying smaller representative data samples w…

cs.AI2019

Accelerating Column Generation via Flexible Dual Optimal Inequalities with Application to Entity Resolution

Vishnu Suresh Lokhande, Shaofei Wang, Maneesh Singh +1

In this paper, we introduce a new optimization approach to Entity Resolution. Traditional approaches tackle entity resolution with hierarchical clustering, which does not benefit f…

cs.CV2019★ 2 cited

To Beta or Not To Beta: Information Bottleneck for DigitaL Image Forensics

Aurobrata Ghosh, Zheng Zhong, Steve Cruz +3

We consider an information theoretic approach to address the problem of identifying fake digital images. We propose an innovative method to formulate the issue of localizing manipu…

cs.CV2019★ 12 cited

SpliceRadar: A Learned Method For Blind Image Forensics

Aurobrata Ghosh, Zheng Zhong, Terrance E Boult +1

Detection and localization of image manipulations like splices are gaining in importance with the easy accessibility of image editing softwares. While detection generates a verdict…