Search Results for author: Min Bai

Found 9 papers, 3 papers with code

Non-parametric Memory for Spatio-Temporal Segmentation of Construction Zones for Self-Driving

no code implementations18 Jan 2021 Min Bai, Shenlong Wang, Kelvin Wong, Ersin Yumer, Raquel Urtasun

In this paper, we introduce a non-parametric memory representation for spatio-temporal segmentation that captures the local space and time around an autonomous vehicle (AV).

Auto4D: Learning to Label 4D Objects from Sequential Point Clouds

no code implementations17 Jan 2021 Bin Yang, Min Bai, Ming Liang, Wenyuan Zeng, Raquel Urtasun

The key idea is to decompose the 4D object label into two parts: the object size in 3D that's fixed through time for rigid objects, and the motion path describing the evolution of the object's pose through time.

3D Object Detection

Learning deep structured active contours end-to-end

1 code implementation CVPR 2018 Diego Marcos, Devis Tuia, Benjamin Kellenberger, Lisa Zhang, Min Bai, Renjie Liao, Raquel Urtasun

The world is covered with millions of buildings, and precisely knowing each instance's position and extents is vital to a multitude of applications.

Instance Segmentation Semantic Segmentation

TorontoCity: Seeing the World with a Million Eyes

no code implementations ICCV 2017 Shenlong Wang, Min Bai, Gellert Mattyus, Hang Chu, Wenjie Luo, Bin Yang, Justin Liang, Joel Cheverie, Sanja Fidler, Raquel Urtasun

In this paper we introduce the TorontoCity benchmark, which covers the full greater Toronto area (GTA) with 712. 5 $km^2$ of land, 8439 $km$ of road and around 400, 000 buildings.

Instance Segmentation Semantic Segmentation

Deep Watershed Transform for Instance Segmentation

3 code implementations CVPR 2017 Min Bai, Raquel Urtasun

Most contemporary approaches to instance segmentation use complex pipelines involving conditional random fields, recurrent neural networks, object proposals, or template matching schemes.

Instance Segmentation Semantic Segmentation +1

Exploiting Semantic Information and Deep Matching for Optical Flow

no code implementations6 Apr 2016 Min Bai, Wenjie Luo, Kaustav Kundu, Raquel Urtasun

We tackle the problem of estimating optical flow from a monocular camera in the context of autonomous driving.

Autonomous Driving Optical Flow Estimation

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