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20132026
most citedConditional Random Fields as Recurrent Neural Networks

2.4k citations · 2.9k across the 65 of their papers we have counts for

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Showing 2019Show all

5 papers · 1 filter

eess.AS2019★ 7 cited

Fast acoustic scattering using convolutional neural networks

Ziqi Fan, Vibhav Vineet, Hannes Gamper +1

Diffracted scattering and occlusion are important acoustic effects in interactive auralization and noise control applications, typically requiring expensive numerical simulation. W…

cs.CV2019

Learning Visuomotor Policies for Aerial Navigation Using Cross-Modal Representations

Rogerio Bonatti, Ratnesh Madaan, Vibhav Vineet +2

Machines are a long way from robustly solving open-world perception-control tasks, such as first-person view (FPV) aerial navigation. While recent advances in end-to-end Machine Le…

cs.CV2019★ 1 cited

Live Reconstruction of Large-Scale Dynamic Outdoor Worlds

Ondrej Miksik, Vibhav Vineet

Standard 3D reconstruction pipelines assume stationary world, therefore suffer from `ghost artifacts' whenever dynamic objects are present in the scene. Recent approaches has start…

cs.CV2019

Photorealistic Image Synthesis for Object Instance Detection

Tomas Hodan, Vibhav Vineet, Ran Gal +6

We present an approach to synthesize highly photorealistic images of 3D object models, which we use to train a convolutional neural network for detecting the objects in real images…

cs.CV2019

Privacy-Preserving Action Recognition using Coded Aperture Videos

Zihao W. Wang, Vibhav Vineet, Francesco Pittaluga +3

The risk of unauthorized remote access of streaming video from networked cameras underlines the need for stronger privacy safeguards. We propose a lens-free coded aperture camera s…