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20122023
most citedExamining the Impact of Blur on Recognition by Convolutional Networks

146 citations · 562 across the 32 of their papers we have counts for

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Showing 2020Show all

5 papers · 1 filter

cs.CV2020★ 1 cited

Deep Denoising of Flash and No-Flash Pairs for Photography in Low-Light Environments

Zhihao Xia, Michaël Gharbi, Federico Perazzi +2

We introduce a neural network-based method to denoise pairs of images taken in quick succession, with and without a flash, in low-light environments. Our goal is to produce a high-…

cs.LG2020★ 2 cited

Real-Time Edge Classification: Optimal Offloading under Token Bucket Constraints

Ayan Chakrabarti, Roch Guérin, Chenyang Lu +1

To deploy machine learning-based algorithms for real-time applications with strict latency constraints, we consider an edge-computing setting where a subset of inputs are offloaded…

cs.CV2020★ 9 cited

Finding Physical Adversarial Examples for Autonomous Driving with Fast and Differentiable Image Compositing

Jinghan Yang, Adith Boloor, Ayan Chakrabarti +2

There is considerable evidence that deep neural networks are vulnerable to adversarial perturbations applied directly to their digital inputs. However, it remains an open question…

cs.CV2020

Adversarial Robustness of Deep Sensor Fusion Models

Shaojie Wang, Tong Wu, Ayan Chakrabarti +1

We experimentally study the robustness of deep camera-LiDAR fusion architectures for 2D object detection in autonomous driving. First, we find that the fusion model is usually both…

cs.CV2020

Towards a MEMS-based Adaptive LIDAR

Francesco Pittaluga, Zaid Tasneem, Justin Folden +3

We present a proof-of-concept LIDAR design that allows adaptive real-time measurements according to dynamically specified measurement patterns. We describe our optical setup and ca…