Looking at the right stuff: Guided semantic-gaze for autonomous driving

24 November 2019

Papers citing "Looking at the right stuff: Guided semantic-gaze for autonomous driving"

9 / 9 papers shown

Title
Towards Robust Unsupervised Attention Prediction in Autonomous Driving Mengshi Qi Xiaoyang Bi Pengfei Zhu Huadong Ma 50 0 0 25 Jan 2025
Object Importance Estimation using Counterfactual Reasoning for Intelligent Driving Pranay Gupta Abhijat Biswas H. Admoni David Held 30 2 0 05 Dec 2023
CUEING: a lightweight model to Capture hUman attEntion In driviNG Linfeng Liang Yao Deng Yang Zhang Jianchao Lu Chen Wang Quan Z. Sheng Xi Zheng 12 1 0 25 May 2023
Robust Traffic Light Detection Using Salience-Sensitive Loss: Computational Framework and Evaluations Ross Greer Akshay Gopalkrishnan Jacob Landgren Lulua Rakla Anish Gopalan Mohan M. Trivedi 21 16 0 08 May 2023
Salient Sign Detection In Safe Autonomous Driving: AI Which Reasons Over Full Visual Context Ross Greer Akshay Gopalkrishnan Nachiket Deo Akshay Rangesh Mohan M. Trivedi 24 21 0 14 Jan 2023
Situation-Aware Environment Perception Using a Multi-Layer Attention Map M. Henning Johannes Müller Fabian Gies M. Buchholz Klaus C. J. Dietmayer 10 22 0 02 Dec 2021
CoCAtt: A Cognitive-Conditioned Driver Attention Dataset Yuan Shen Niviru Wijayaratne Pranav Sriram Aamir Hasan Peter Du Katherine Driggs-Campbell 14 11 0 19 Nov 2021
MobileStereoNet: Towards Lightweight Deep Networks for Stereo Matching Faranak Shamsafar Samuel Woerz Rafia Rahim A. Zell 3DV 25 85 0 22 Aug 2021
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 230 7,903 0 13 Jun 2015