activity
20142023
most citedFractalNet: Ultra-Deep Neural Networks without Residuals

622 citations · 1.4k across the 32 of their papers we have counts for

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Showing 2020Show all

6 papers · 1 filter

cs.CV2020★ 8 cited

Classification Confidence Estimation with Test-Time Data-Augmentation

Yuval Bahat, Gregory Shakhnarovich

Machine learning plays an increasingly significant role in many aspects of our lives (including medicine, transportation, security, justice and other domains), making the potential…

cs.CV2020★ 4 cited

Detection and Description of Change in Visual Streams

Davis Gilton, Ruotian Luo, Rebecca Willett +1

This paper presents a framework for the analysis of changes in visual streams: ordered sequences of images, possibly separated by significant time gaps. We propose a new approach t…

cs.CV2020

Pixel Consensus Voting for Panoptic Segmentation

Haochen Wang, Ruotian Luo, Michael Maire +1

The core of our approach, Pixel Consensus Voting, is a framework for instance segmentation based on the Generalized Hough transform. Pixels cast discretized, probabilistic votes fo…

cs.CV2020★ 4 cited

Space-Time-Aware Multi-Resolution Video Enhancement

Muhammad Haris, Greg Shakhnarovich, Norimichi Ukita

We consider the problem of space-time super-resolution (ST-SR): increasing spatial resolution of video frames and simultaneously interpolating frames to increase the frame rate. Mo…

cs.CV2020

Deformable Style Transfer

Sunnie S. Y. Kim, Nicholas Kolkin, Jason Salavon +1

Both geometry and texture are fundamental aspects of visual style. Existing style transfer methods, however, primarily focus on texture, almost entirely ignoring geometry. We propo…

cs.CL2020★ 11 cited

Analysis of diversity-accuracy tradeoff in image captioning

Ruotian Luo, Gregory Shakhnarovich

We investigate the effect of different model architectures, training objectives, hyperparameter settings and decoding procedures on the diversity of automatically generated image c…