146 citations · 562 across the 32 of their papers we have counts for
5 papers · 1 filter
Examining the Impact of Blur on Recognition by Convolutional Networks
Igor Vasiljevic, Ayan Chakrabarti, Gregory Shakhnarovich
State-of-the-art algorithms for many semantic visual tasks are based on the use of convolutional neural networks. These networks are commonly trained, and evaluated, on large annot…
Single-image RGB Photometric Stereo With Spatially-varying Albedo
Ayan Chakrabarti, Kalyan Sunkavalli
We present a single-shot system to recover surface geometry of objects with spatially-varying albedos, from images captured under a calibrated RGB photometric stereo setup---with t…
Depth from a Single Image by Harmonizing Overcomplete Local Network Predictions
Ayan Chakrabarti, Jingyu Shao, Gregory Shakhnarovich
A single color image can contain many cues informative towards different aspects of local geometric structure. We approach the problem of monocular depth estimation by using a neur…
Learning Sensor Multiplexing Design through Back-propagation
Ayan Chakrabarti
Recent progress on many imaging and vision tasks has been driven by the use of deep feed-forward neural networks, which are trained by propagating gradients of a loss defined on th…
A Neural Approach to Blind Motion Deblurring
Ayan Chakrabarti
We present a new method for blind motion deblurring that uses a neural network trained to compute estimates of sharp image patches from observations that are blurred by an unknown…