Mario Bijelic

403 total citations
18 papers, 216 citations indexed

About

Mario Bijelic is a scholar working on Computer Vision and Pattern Recognition, Instrumentation and Aerospace Engineering. According to data from OpenAlex, Mario Bijelic has authored 18 papers receiving a total of 216 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 4 papers in Instrumentation and 4 papers in Aerospace Engineering. Recurrent topics in Mario Bijelic's work include Image Enhancement Techniques (7 papers), Advanced Vision and Imaging (5 papers) and Advanced Optical Sensing Technologies (4 papers). Mario Bijelic is often cited by papers focused on Image Enhancement Techniques (7 papers), Advanced Vision and Imaging (5 papers) and Advanced Optical Sensing Technologies (4 papers). Mario Bijelic collaborates with scholars based in Germany, United States and United Kingdom. Mario Bijelic's co-authors include Felix Heide, Christos Sakaridis, Luc Van Gool, Dengxin Dai, Fisher Yu, Werner Ritter, Tobias Gruber, Klaus Dietmayer, Fahim Mannan and Ethan Tseng and has published in prestigious journals such as Optics Express, ACM Transactions on Graphics and Physical review. B..

In The Last Decade

Mario Bijelic

17 papers receiving 205 citations

Peers

Mario Bijelic
Mario Bijelic
Citations per year, relative to Mario Bijelic Mario Bijelic (= 1×) peers Guoquan Xu

Countries citing papers authored by Mario Bijelic

Since Specialization
Citations

This map shows the geographic impact of Mario Bijelic's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mario Bijelic with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mario Bijelic more than expected).

Fields of papers citing papers by Mario Bijelic

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mario Bijelic. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mario Bijelic. The network helps show where Mario Bijelic may publish in the future.

Co-authorship network of co-authors of Mario Bijelic

This figure shows the co-authorship network connecting the top 25 collaborators of Mario Bijelic. A scholar is included among the top collaborators of Mario Bijelic based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mario Bijelic. Mario Bijelic is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Bijelic, Mario, et al.. (2024). Real-time Environment Condition Classification for Autonomous Vehicles. 1527–1533. 2 indexed citations
2.
Bijelic, Mario, et al.. (2024). Split-Aperture 2-in-1 Computational Cameras. ACM Transactions on Graphics. 43(4). 1–19. 5 indexed citations
3.
Bijelic, Mario, et al.. (2024). Cross-spectral Gated-RGB Stereo Depth Estimation. 21654–21665. 2 indexed citations
4.
Bijelic, Mario, et al.. (2024). Gated Fields: Learning Scene Reconstruction from Gated Videos. 10530–10541.
5.
Sun, Jipeng, et al.. (2024). Radar Fields: Frequency-Space Neural Scene Representations for FMCW Radar. 1–10. 5 indexed citations
6.
Bijelic, Mario, et al.. (2023). ScatterNeRF: Seeing Through Fog with Physically-Based Inverse Neural Rendering. 17911–17922. 11 indexed citations
7.
Bijelic, Mario, et al.. (2023). LiDAR-in-the-Loop Hyperparameter Optimization. 13404–13414. 1 indexed citations
8.
Chakravarthula, Praneeth, Xiao Li, Chenyang Lei, et al.. (2023). Thin On-Sensor Nanophotonic Array Cameras. ACM Transactions on Graphics. 42(6). 1–18. 21 indexed citations
9.
Bijelic, Mario, et al.. (2023). Gated Stereo: Joint Depth Estimation from Gated and Wide-Baseline Active Stereo Cues. 13252–13262. 5 indexed citations
10.
Sakaridis, Christos, Mario Bijelic, Felix Heide, et al.. (2022). LiDAR Snowfall Simulation for Robust 3D Object Detection. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 16343–16353. 92 indexed citations
11.
Liemert, André, et al.. (2022). Single scattering models for radiative transfer of isotropic and cone-shaped light sources in fog. Optics Express. 31(1). 125–125. 4 indexed citations
12.
Tseng, Ethan, et al.. (2021). ZeroScatter: Domain Transfer for Long Distance Imaging and Vision through Scattering Media. 3475–3485. 10 indexed citations
13.
Taylor, Jason, et al.. (2021). Gated3D: Monocular 3D Object Detection From Temporal Illumination Cues. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 2918–2928. 8 indexed citations
14.
Kutila, Matti, Pasi Pyykönen, Maria Jokela, et al.. (2020). Benchmarking Automotive LiDAR Performance in Arctic Conditions. 1–8. 12 indexed citations
15.
Bijelic, Mario, Fahim Mannan, Tobias Gruber, et al.. (2019). Seeing Through Fog Without Seeing Fog: Deep Sensor Fusion in the Absence of Labeled Training Data.. arXiv (Cornell University). 19 indexed citations
16.
Bijelic, Mario, et al.. (2019). Recovering the Unseen: Benchmarking the Generalization of Enhancement Methods to Real World Data in Heavy Fog. Computer Vision and Pattern Recognition. 11–21. 5 indexed citations
17.
Bijelic, Mario, et al.. (2018). Robustness Against Unknown Noise for Raw Data Fusing Neural Networks. 2177–2184. 5 indexed citations
18.
Bijelic, Mario, Ryui Kaneko, Claudius Gros, & Roser Valentí. (2018). Suppression of topological Mott-Hubbard phases by multiple charge orders in the honeycomb extended Hubbard model. Physical review. B.. 97(12). 9 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact

Rankless by CCL
2026