Mario Bijelic

According to our database1, Mario Bijelic authored at least 21 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Thin On-Sensor Nanophotonic Array Cameras.
ACM Trans. Graph., December, 2023

ScatterNeRF: Seeing Through Fog with Physically-Based Inverse Neural Rendering.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Gated Stereo: Joint Depth Estimation from Gated and Wide-Baseline Active Stereo Cues.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

LiDAR-in-the-Loop Hyperparameter Optimization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Simulating Road Spray Effects in Automotive Lidar Sensor Models.
CoRR, 2022

Learning to Predict Motion from Raw 3D Object Detections.
Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022

Gated2Gated: Self-Supervised Depth Estimation from Gated Images.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

LiDAR Snowfall Simulation for Robust 3D Object Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
A Benchmark for Spray from Nearby Cutting Vehicles.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

Gated3D: Monocular 3D Object Detection From Temporal Illumination Cues.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

ZeroScatter: Domain Transfer for Long Distance Imaging and Vision Through Scattering Media.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Benchmarking Automotive LiDAR Performance in Arctic Conditions.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

Seeing Through Fog Without Seeing Fog: Deep Multimodal Sensor Fusion in Unseen Adverse Weather.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Seeing Through Fog Without Seeing Fog: Deep Sensor Fusion in the Absence of Labeled Training Data.
CoRR, 2019

Gated2Depth: Real-time Dense Lidar from Gated Images.
CoRR, 2019

Gated2Depth: Real-Time Dense Lidar From Gated Images.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Recovering the Unseen: Benchmarking the Generalization of Enhancement Methods to Real World Data in Heavy Fog.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

Pixel-Accurate Depth Evaluation in Realistic Driving Scenarios.
Proceedings of the 2019 International Conference on 3D Vision, 2019

2018
Benchmarking Image Sensors Under Adverse Weather Conditions for Autonomous Driving.
Proceedings of the 2018 IEEE Intelligent Vehicles Symposium, 2018

A Benchmark for Lidar Sensors in Fog: Is Detection Breaking Down?
Proceedings of the 2018 IEEE Intelligent Vehicles Symposium, 2018

Robustness Against Unknown Noise for Raw Data Fusing Neural Networks.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018


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