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04/05/2021
Adversarial Attack in the Context of Self-driving
In this paper, we propose a model that can attack segmentation models wi...
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03/25/2021
Stepwise Goal-Driven Networks for Trajectory Prediction
We propose to predict the future trajectories of observed agents (e.g., ...
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07/18/2020
Dynamic Dual-Attentive Aggregation Learning for Visible-Infrared Person Re-Identification
Visible-infrared person re-identification (VI-ReID) is a challenging cro...
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03/02/2019
Unsupervised Traffic Accident Detection in First-Person Videos
Recognizing abnormal events such as traffic violations and accidents in ...
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11/18/2018
Temporal Recurrent Networks for Online Action Detection
Most work on temporal action detection is formulated in an offline manne...
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09/19/2018
Egocentric Vision-based Future Vehicle Localization for Intelligent Driving Assistance Systems
Predicting the future location of vehicles is essential for safety-criti...
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03/29/2018
Joint Person Segmentation and Identification in Synchronized First- and Third-person Videos
In a world in which cameras are becoming more and more pervasive, scenes...
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01/11/2018
Multi-Task Spatiotemporal Neural Networks for Structured Surface Reconstruction
Deep learning methods have surpassed the performance of traditional tech...
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01/11/2018
Fully-Coupled Two-Stream Spatiotemporal Networks for Extremely Low Resolution Action Recognition
A major emerging challenge is how to protect people's privacy as cameras...
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12/21/2017
Automatic Estimation of Ice Bottom Surfaces from Radar Imagery
Ground-penetrating radar on planes and satellites now makes it practical...
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09/29/2017
A Study of Cross-domain Generative Models applied to Cartoon Series
We investigate Generative Adversarial Networks (GANs) to model one parti...
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08/09/2017
A Unified Model for Near and Remote Sensing
We propose a novel convolutional neural network architecture for estimat...
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08/12/2016
