Dian Chen | DeepAI

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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...

0 Vitor Guizilini, et al. ∙

∙ 03/25/2023

Viewpoint Equivariance for Multi-View 3D Object Detection

3D object detection from visual sensors is a cornerstone capability of r...

3 Dian Chen, et al. ∙

∙ 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 (...

0 Ziqi Pang, et al. ∙

∙ 10/05/2022

Depth Is All You Need for Monocular 3D Detection

A key contributor to recent progress in 3D detection from single images ...

8 Dennis Park, et al. ∙

∙ 05/04/2022

COOPERNAUT: End-to-End Driving with Cooperative Perception for Networked Vehicles

Optical sensors and learning algorithms for autonomous vehicles have dra...

6 Jiaxun Cui, et al. ∙

∙ 04/21/2022

Contrastive Test-Time Adaptation

Test-time adaptation is a special setting of unsupervised domain adaptat...

0 Dian Chen, et al. ∙

∙ 04/15/2022

Multi-Frame Self-Supervised Depth with Transformers

Multi-frame depth estimation improves over single-frame approaches by al...

2 Vitor Guizilini, et al. ∙

∙ 03/22/2022

Learning from All Vehicles

In this paper, we present a system to train driving policies from experi...

0 Dian Chen, et al. ∙

∙ 08/20/2021

Region-level Active Learning for Cluttered Scenes

Active learning for object detection is conventionally achieved by apply...

1 Michael Laielli, et al. ∙

∙ 06/12/2021

CARTL: Cooperative Adversarially-Robust Transfer Learning

Transfer learning eases the burden of training a well-performed model fr...

0 Dian Chen, et al. ∙

∙ 05/03/2021

Learning to drive from a world on rails

We learn an interactive vision-based driving policy from pre-recorded dr...

0 Dian Chen, et al. ∙

∙ 12/27/2019

Learning by Cheating

Vision-based urban driving is hard. The autonomous system needs to learn...

26 Dian Chen, et al. ∙

∙ 06/21/2018

Learning Instance Segmentation by Interaction

We present an approach for building an active agent that learns to segme...

2 Deepak Pathak, et al. ∙

∙ 04/23/2018

Zero-Shot Visual Imitation

The current dominant paradigm for imitation learning relies on strong su...

0 Deepak Pathak, et al. ∙

∙ 03/06/2017

Combining Self-Supervised Learning and Imitation for Vision-Based Rope Manipulation

Manipulation of deformable objects, such as ropes and cloth, is an impor...

0 Ashvin Nair, et al. ∙

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