Search Results for author: Kevin Chen

Found 10 papers, 3 papers with code

3D-R2N2: A Unified Approach for Single and Multi-view 3D Object Reconstruction

14 code implementations2 Apr 2016 Christopher B. Choy, Danfei Xu, JunYoung Gwak, Kevin Chen, Silvio Savarese

Inspired by the recent success of methods that employ shape priors to achieve robust 3D reconstructions, we propose a novel recurrent neural network architecture that we call the 3D Recurrent Reconstruction Neural Network (3D-R2N2).

3D Object Reconstruction 3D Reconstruction +1

PMCE: efficient inference of expressive models of cancer evolution with high prognostic power

2 code implementations26 Aug 2014 Fabrizio Angaroni, Kevin Chen, Chiara Damiani, Giulio Caravagna, Alex Graudenzi, Daniele Ramazzotti

Motivation: Driver (epi)genomic alterations underlie the positive selection of cancer subpopulations, which promotes drug resistance and relapse.

Lattice Long Short-Term Memory for Human Action Recognition

no code implementations ICCV 2017 Lin Sun, Kui Jia, Kevin Chen, Dit Yan Yeung, Bertram E. Shi, Silvio Savarese

This method effectively enhances the ability to model dynamics across time and addresses the non-stationary issue of long-term motion dynamics without significantly increasing the model complexity.

Action Recognition Optical Flow Estimation +1

Task-GAN for Improved GAN based Image Restoration

no code implementations ICLR 2019 Jiahong Ouyang, Guanhua Wang, Enhao Gong, Kevin Chen, John Pauly and Greg Zaharchuk

Deep Learning (DL) algorithms based on Generative Adversarial Network (GAN) have demonstrated great potentials in computer vision tasks such as image restoration.

Generative Adversarial Network Hallucination +3

DeLay: Robust Spatial Layout Estimation for Cluttered Indoor Scenes

no code implementations CVPR 2016 Saumitro Dasgupta, Kuan Fang, Kevin Chen, Silvio Savarese

We consider the problem of estimating the spatial layout of an indoor scene from a monocular RGB image, modeled as the projection of a 3D cuboid.

Topological Planning with Transformers for Vision-and-Language Navigation

no code implementations CVPR 2021 Kevin Chen, Junshen K. Chen, Jo Chuang, Marynel Vázquez, Silvio Savarese

Conventional approaches to vision-and-language navigation (VLN) are trained end-to-end but struggle to perform well in freely traversable environments.

Vision and Language Navigation

Learning Language-Conditioned Robot Behavior from Offline Data and Crowd-Sourced Annotation

no code implementations2 Sep 2021 Suraj Nair, Eric Mitchell, Kevin Chen, Brian Ichter, Silvio Savarese, Chelsea Finn

However, goal images also have a number of drawbacks: they are inconvenient for humans to provide, they can over-specify the desired behavior leading to a sparse reward signal, or under-specify task information in the case of non-goal reaching tasks.

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