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07/26/2023
MiDaS v3.1 – A Model Zoo for Robust Monocular Relative Depth Estimation
We release MiDaS v3.1 for monocular depth estimation, offering a variety...
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05/18/2023
LDM3D: Latent Diffusion Model for 3D
This research paper proposes a Latent Diffusion Model for 3D (LDM3D) tha...
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04/10/2023
Revisiting Test Time Adaptation under Online Evaluation
This paper proposes a novel online evaluation protocol for Test Time Ada...
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03/21/2023
Monocular Visual-Inertial Depth Estimation
We present a visual-inertial depth estimation pipeline that integrates m...
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02/23/2023
ZoeDepth: Zero-shot Transfer by Combining Relative and Metric Depth
This paper tackles the problem of depth estimation from a single image. ...
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01/29/2023
Zero-Shot Transfer of Haptics-Based Object Insertion Policies
Humans naturally exploit haptic feedback during contact-rich tasks like ...
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11/29/2022
SimCS: Simulation for Online Domain-Incremental Continual Segmentation
Continual Learning is a step towards lifelong intelligence where models ...
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09/26/2022
Training Efficient Controllers via Analytic Policy Gradient
Control design for robotic systems is complex and often requires solving...
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10/11/2021
Learning High-Speed Flight in the Wild
Quadrotors are agile. Unlike most other machines, they can traverse extr...
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08/24/2020
OpenBot: Turning Smartphones into Robots
Current robots are either expensive or make significant compromises on s...
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06/10/2020
Deep Drone Acrobatics
Performing acrobatic maneuvers with quadrotors is extremely challenging....
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10/15/2019
DeepGCNs: Making GCNs Go as Deep as CNNs
Convolutional Neural Networks (CNNs) have been very successful at solvin...
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07/10/2019
Non-Smooth Newton Methods for Deformable Multi-Body Dynamics
We present a framework for the simulation of rigid and deformable bodies...
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04/18/2019
Learning a Controller Fusion Network by Online Trajectory Filtering for Vision-based UAV Racing
Autonomous UAV racing has recently emerged as an interesting research pr...
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04/07/2019
Can GCNs Go as Deep as CNNs?
Convolutional Neural Networks (CNNs) achieve impressive results in a wid...
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12/05/2018
SADA: Semantic Adversarial Diagnostic Attacks for Autonomous Applications
One major factor impeding more widespread adoption of deep neural networ...
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08/27/2018
Why Self-Attention? A Targeted Evaluation of Neural Machine Translation Architectures
Recently, non-recurrent architectures (convolutional, self-attentional) ...
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04/25/2018
Driving Policy Transfer via Modularity and Abstraction
End-to-end approaches to autonomous driving have high sample complexity ...
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03/28/2018
TrackingNet: A Large-Scale Dataset and Benchmark for Object Tracking in the Wild
Despite the numerous developments in object tracking, further developmen...
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10/06/2017
