Search Results for author: Garrison Cottrell

Found 11 papers, 5 papers with code

Speech Recognition and Multi-Speaker Diarization of Long Conversations

2 code implementations16 May 2020 Huanru Henry Mao, Shuyang Li, Julian McAuley, Garrison Cottrell

Speech recognition (ASR) and speaker diarization (SD) models have traditionally been trained separately to produce rich conversation transcripts with speaker labels.

Data Augmentation speaker-diarization +3

Deflecting Adversarial Attacks

no code implementations18 Feb 2020 Yao Qin, Nicholas Frosst, Colin Raffel, Garrison Cottrell, Geoffrey Hinton

There has been an ongoing cycle where stronger defenses against adversarial attacks are subsequently broken by a more advanced defense-aware attack.

Detecting and Diagnosing Adversarial Images with Class-Conditional Capsule Reconstructions

no code implementations ICLR 2020 Yao Qin, Nicholas Frosst, Sara Sabour, Colin Raffel, Garrison Cottrell, Geoffrey Hinton

Then, we diagnose the adversarial examples for CapsNets and find that the success of the reconstructive attack is highly related to the visual similarity between the source and target class.

Autofocus Layer for Semantic Segmentation

3 code implementations22 May 2018 Yao Qin, Konstantinos Kamnitsas, Siddharth Ancha, Jay Nanavati, Garrison Cottrell, Antonio Criminisi, Aditya Nori

We propose the autofocus convolutional layer for semantic segmentation with the objective of enhancing the capabilities of neural networks for multi-scale processing.

Brain Tumor Segmentation Tumor Segmentation

Learning to see people like people

no code implementations5 May 2017 Amanda Song, Linjie Li, Chad Atalla, Garrison Cottrell

Humans make complex inferences on faces, ranging from objective properties (gender, ethnicity, expression, age, identity, etc) to subjective judgments (facial attractiveness, trustworthiness, sociability, friendliness, etc).

A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction

14 code implementations7 Apr 2017 Yao Qin, Dongjin Song, Haifeng Chen, Wei Cheng, Guofei Jiang, Garrison Cottrell

The Nonlinear autoregressive exogenous (NARX) model, which predicts the current value of a time series based upon its previous values as well as the current and past values of multiple driving (exogenous) series, has been studied for decades.

Time Series Prediction

Understanding Convolution for Semantic Segmentation

5 code implementations27 Feb 2017 Panqu Wang, Pengfei Chen, Ye Yuan, Ding Liu, Zehua Huang, Xiaodi Hou, Garrison Cottrell

This framework 1) effectively enlarges the receptive fields (RF) of the network to aggregate global information; 2) alleviates what we call the "gridding issue" caused by the standard dilated convolution operation.

Semantic Segmentation Thermal Image Segmentation

Are Face and Object Recognition Independent? A Neurocomputational Modeling Exploration

no code implementations26 Apr 2016 Panqu Wang, Isabel Gauthier, Garrison Cottrell

Our results show that, as in the behavioral data, the correlation between subordinate level face and object recognition accuracy increases as experience grows.

Object Recognition

Modeling the Contribution of Central Versus Peripheral Vision in Scene, Object, and Face Recognition

no code implementations25 Apr 2016 Panqu Wang, Garrison Cottrell

Our results suggest that the relative order of importance of using central visual field information is face recognition>object recognition>scene recognition, and vice-versa for peripheral information.

Face Recognition Object Recognition +1

Efficient Visual Coding: From Retina To V2

no code implementations20 Dec 2013 Honghao Shan, Garrison Cottrell

The human visual system has a hierarchical structure consisting of layers of processing, such as the retina, V1, V2, etc.

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