Search Results for author: Wenjie Luo

Found 16 papers, 5 papers with code

JFP: Joint Future Prediction with Interactive Multi-Agent Modeling for Autonomous Driving

no code implementations16 Dec 2022 Wenjie Luo, Cheolho Park, Andre Cornman, Benjamin Sapp, Dragomir Anguelov

We propose JFP, a Joint Future Prediction model that can learn to generate accurate and consistent multi-agent future trajectories.

Autonomous Driving Future prediction

Sardino: Ultra-Fast Dynamic Ensemble for Secure Visual Sensing at Mobile Edge

no code implementations18 Apr 2022 Qun Song, Zhenyu Yan, Wenjie Luo, Rui Tan

This paper presents extensive evaluation of Sardino's performance in counteracting adversarial examples and applies it to build a real-time car-borne traffic sign recognition system.

Traffic Sign Recognition

IntentNet: Learning to Predict Intention from Raw Sensor Data

no code implementations20 Jan 2021 Sergio Casas, Wenjie Luo, Raquel Urtasun

In order to plan a safe maneuver, self-driving vehicles need to understand the intent of other traffic participants.

End-to-end Interpretable Neural Motion Planner

1 code implementation CVPR 2019 Wenyuan Zeng, Wenjie Luo, Simon Suo, Abbas Sadat, Bin Yang, Sergio Casas, Raquel Urtasun

In this paper, we propose a neural motion planner (NMP) for learning to drive autonomously in complex urban scenarios that include traffic-light handling, yielding, and interactions with multiple road-users.

Fast and Furious: Real Time End-to-End 3D Detection, Tracking and Motion Forecasting with a Single Convolutional Net

no code implementations CVPR 2018 Wenjie Luo, Bin Yang, Raquel Urtasun

In this paper we propose a novel deep neural network that is able to jointly reason about 3D detection, tracking and motion forecasting given data captured by a 3D sensor.

Motion Forecasting

Universal Embeddings for Spatio-Temporal Tagging of Self-Driving Logs

no code implementations12 Nov 2020 Sean Segal, Eric Kee, Wenjie Luo, Abbas Sadat, Ersin Yumer, Raquel Urtasun

In this paper, we tackle the problem of spatio-temporal tagging of self-driving scenes from raw sensor data.

Blocking TAG +1

DeepRoadMapper: Extracting Road Topology From Aerial Images

no code implementations ICCV 2017 Gellert Mattyus, Wenjie Luo, Raquel Urtasun

In contrast, in this paper we propose an approach that directly estimates road topology from aerial images.

Autonomous Driving

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

Efficient Summarization with Read-Again and Copy Mechanism

no code implementations10 Nov 2016 Wenyuan Zeng, Wenjie Luo, Sanja Fidler, Raquel Urtasun

Towards this goal, we first introduce a simple mechanism that first reads the input sequence before committing to a representation of each word.

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

Latent Structured Active Learning

no code implementations NeurIPS 2013 Wenjie Luo, Alex Schwing, Raquel Urtasun

In this paper we present active learning algorithms in the context of structured prediction problems.

Active Learning Structured Prediction

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