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09/07/2023
DiffDefense: Defending against Adversarial Attacks via Diffusion Models
This paper presents a novel reconstruction method that leverages Diffusi...
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08/24/2023
Robot Pose Nowcasting: Forecast the Future to Improve the Present
In recent years, the effective and safe collaboration between humans and...
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11/15/2022
Forecasting Future Instance Segmentation with Learned Optical Flow and Warping
For an autonomous vehicle it is essential to observe the ongoing dynamic...
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06/07/2022
Online Deep Clustering with Video Track Consistency
Several unsupervised and self-supervised approaches have been developed ...
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03/23/2022
SMEMO: Social Memory for Trajectory Forecasting
Effective modeling of human interactions is of utmost importance when fo...
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05/14/2021
Learning Group Activities from Skeletons without Individual Action Labels
To understand human behavior we must not just recognize individual actio...
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10/18/2020
Multiple Future Prediction Leveraging Synthetic Trajectories
Trajectory prediction is an important task, especially in autonomous dri...
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06/05/2020
Explaining Autonomous Driving by Learning End-to-End Visual Attention
Current deep learning based autonomous driving approaches yield impressi...
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06/05/2020
MANTRA: Memory Augmented Networks for Multiple Trajectory Prediction
Autonomous vehicles are expected to drive in complex scenarios with seve...
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10/09/2019
Text-to-Image Synthesis Based on Machine Generated Captions
Text to Image Synthesis refers to the process of automatic generation of...
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05/29/2018
Semantic Road Layout Understanding by Generative Adversarial Inpainting
Autonomous driving is becoming a reality, yet vehicles still need to rel...
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05/04/2017
Am I Done? Predicting Action Progress in Videos
In this paper we introduce the problem of predicting action progress in ...
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04/08/2017
Deep Generative Adversarial Compression Artifact Removal
Compression artifacts arise in images whenever a lossy compression algor...
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09/01/2016