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06/29/2023
Towards Zero-Shot Scale-Aware Monocular Depth Estimation
Monocular depth estimation is scale-ambiguous, and thus requires scale s...
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03/25/2023
Viewpoint Equivariance for Multi-View 3D Object Detection
3D object detection from visual sensors is a cornerstone capability of r...
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02/07/2023
Standing Between Past and Future: Spatio-Temporal Modeling for Multi-Camera 3D Multi-Object Tracking
This work proposes an end-to-end multi-camera 3D multi-object tracking (...
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10/05/2022
Depth Is All You Need for Monocular 3D Detection
A key contributor to recent progress in 3D detection from single images ...
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05/04/2022
COOPERNAUT: End-to-End Driving with Cooperative Perception for Networked Vehicles
Optical sensors and learning algorithms for autonomous vehicles have dra...
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04/21/2022
Contrastive Test-Time Adaptation
Test-time adaptation is a special setting of unsupervised domain adaptat...
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04/15/2022
Multi-Frame Self-Supervised Depth with Transformers
Multi-frame depth estimation improves over single-frame approaches by al...
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03/22/2022
Learning from All Vehicles
In this paper, we present a system to train driving policies from experi...
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08/20/2021
Region-level Active Learning for Cluttered Scenes
Active learning for object detection is conventionally achieved by apply...
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06/12/2021
CARTL: Cooperative Adversarially-Robust Transfer Learning
Transfer learning eases the burden of training a well-performed model fr...
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05/03/2021
Learning to drive from a world on rails
We learn an interactive vision-based driving policy from pre-recorded dr...
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12/27/2019
Learning by Cheating
Vision-based urban driving is hard. The autonomous system needs to learn...
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06/21/2018
Learning Instance Segmentation by Interaction
We present an approach for building an active agent that learns to segme...
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04/23/2018
Zero-Shot Visual Imitation
The current dominant paradigm for imitation learning relies on strong su...
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03/06/2017