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04/29/2023
Modality-invariant Visual Odometry for Embodied Vision
Effectively localizing an agent in a realistic, noisy setting is crucial...
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12/08/2022
PALMER: Perception-Action Loop with Memory for Long-Horizon Planning
To achieve autonomy in a priori unknown real-world scenarios, agents sho...
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12/01/2022
Task Discovery: Finding the Tasks that Neural Networks Generalize on
When developing deep learning models, we usually decide what task we wan...
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04/04/2022
MultiMAE: Multi-modal Multi-task Masked Autoencoders
We propose a pre-training strategy called Multi-modal Multi-task Masked ...
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02/11/2022
CLIPasso: Semantically-Aware Object Sketching
Abstraction is at the heart of sketching due to the simple and minimal n...
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02/07/2022
Simple Control Baselines for Evaluating Transfer Learning
Transfer learning has witnessed remarkable progress in recent years, for...
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10/11/2021
Omnidata: A Scalable Pipeline for Making Multi-Task Mid-Level Vision Datasets from 3D Scans
This paper introduces a pipeline to parametrically sample and render mul...
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03/19/2021
Robustness via Cross-Domain Ensembles
We present a method for making neural network predictions robust to shif...
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11/13/2020
Robust Policies via Mid-Level Visual Representations: An Experimental Study in Manipulation and Navigation
Vision-based robotics often separates the control loop into one module f...
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06/07/2020
Robust Learning Through Cross-Task Consistency
Visual perception entails solving a wide set of tasks, e.g., object dete...
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12/31/2019
Side-Tuning: Network Adaptation via Additive Side Networks
When training a neural network for a desired task, one may prefer to ada...
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12/23/2019
Learning to Navigate Using Mid-Level Visual Priors
How much does having visual priors about the world (e.g. the fact that t...
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08/31/2018
Gibson Env: Real-World Perception for Embodied Agents
Developing visual perception models for active agents and sensorimotor c...
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04/23/2018
Taskonomy: Disentangling Task Transfer Learning
Do visual tasks have a relationship, or are they unrelated? For instance...
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06/28/2015
