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03/23/2021
Meta-Adversarial Inverse Reinforcement Learning for Decision-making Tasks
Learning from demonstrations has made great progress over the past few y...
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10/30/2020
Unsupervised Monocular Depth Learning in Dynamic Scenes
We present a method for jointly training the estimation of depth, ego-mo...
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06/17/2020
Fine-Grained Stochastic Architecture Search
State-of-the-art deep networks are often too large to deploy on mobile d...
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02/04/2020
Adversarially Robust Frame Sampling with Bounded Irregularities
In recent years, video analysis tools for automatically extracting meani...
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11/29/2019
Quadratic Q-network for Learning Continuous Control for Autonomous Vehicles
Reinforcement Learning algorithms have recently been proposed to learn t...
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06/05/2019
Continuous Control for Automated Lane Change Behavior Based on Deep Deterministic Policy Gradient Algorithm
Lane change is a challenging task which requires delicate actions to ens...
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05/24/2019
EnsembleNet: End-to-End Optimization of Multi-headed Models
Ensembling is a universally useful approach to boost the performance of ...
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04/10/2019
Depth from Videos in the Wild: Unsupervised Monocular Depth Learning from Unknown Cameras
We present a novel method for simultaneous learning of depth, egomotion,...
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03/25/2018
