Aditya Arora

I am a MSc student at York University, co-supervised by Prof. Kosta Derpanis and Prof. Michael S Brown. Previously, I was a Research Engineer at Inception Institute of Artificial Intelligence working with Dr. Fahad Shahbaz Khan and Dr. Syed Waqas Zamir. At IIAI, I work at the intersection of Computer Vision and Deep Learning both from a research perspective and also using my research into real-world projects. I completed my undergraduate studies in Computer Science Engineering from DIT University. I have also been a Research Intern at Indian Institute of Technology, Roorkee where I worked with Dr. Balasubramanian Raman on Acoustic Scene Classification. My research interests include low-level vision tasks such as Image Denoising, Image Enhancement and Super Resolution.

adityadvlp at gmail dot com
CV / Scholar / Github / Linkedin

News

[Apr’22]Our paper MIRNetV2 is accepted at TPAMI.
[Mar’22]Our paper Restormer is accepted at CVPR’22 as an oral presentation.
[Apr’21]MPRNet inspired winning solutions in CVPR-NTIRE 2021 for Dual-pixel Defocus Deblurring and Image Deblurring Challenges.
[Apr’21]We achieved 2nd position in CVPR-NTIRE 2021 Dual-Pixel Defocus Deblurring Challenge.
[Mar’21]Our paper MPRNet is accepted at CVPR’21.
[Jul’20]Our paper MIRNet is accepted at ECCV’20.
[Mar’20]Our papers CycleISP (Oral) and AnimalWeb are accepted at CVPR’20.
[Aug’19]A Large-scale Instance Segmentation Dataset for Aerial Images (iSAID) is available for download.
[Apr’19]We achieved 2nd position in CVPR-NTIRE 2019 Image Enhancement Challenge.
Publications

2022
Learning Enriched Features for Fast Image Restoration and Enhancement
Syed Waqas Zamir, Aditya Arora, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
arxiv / bibtex / code 
@article{zamir2022mirnetv2,
    title={Learning Enriched Features for Fast Image Restoration and Enhancement},
    author={Syed Waqas Zamir and Aditya Arora and Salman Khan and Munawar Hayat
            and Fahad Shahbaz Khan and Ming-Hsuan Yang},
    journal={TPAMI},
    year={2022}
    }
Restormer: Efficient Transformer for High-Resolution Image Restoration
Syed Waqas Zamir, Aditya Arora, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang
Computer Vision and Pattern Recognition (CVPR), 2022
arxiv / bibtex / code 
@inproceedings{Zamir2021Restormer,
    title={Restormer: Efficient Transformer for High-Resolution Image Restoration},
    author={Syed Waqas Zamir and Aditya Arora and Salman Khan and Munawar Hayat
            and Fahad Shahbaz Khan and Ming-Hsuan Yang},
    booktitle={CVPR},
    year={2022}
    }

2021
Multi-Stage Progressive Image Restoration
Syed Waqas Zamir*, Aditya Arora*, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan,
Ming-Hsuan Yang, Ling Shao
Computer Vision and Pattern Recognition (CVPR), 2021
arxiv / bibtex / code 
@inproceedings{Zamir2021MPRNet,
    title={Multi-Stage Progressive Image Restoration},
    author={Syed Waqas Zamir and Aditya Arora and Salman Khan and Munawar Hayat
            and Fahad Shahbaz Khan and Ming-Hsuan Yang and Ling Shao},
    booktitle={CVPR},
    year={2021}
    }

2020
Learning Enriched Features for Real Image Restoration and Enhancement
Syed Waqas Zamir, Aditya Arora, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan,
Ming-Hsuan Yang, Ling Shao
European Conference on Computer Vision (ECCV), 2020
arxiv / bibtex / code 
@inproceedings{Zamir2020MIRNet,
    title={Learning Enriched Features for Real Image Restoration and Enhancement},
    author={Syed Waqas Zamir and Aditya Arora and Salman Khan and Munawar Hayat
            and Fahad Shahbaz Khan and Ming-Hsuan Yang and Ling Shao},
    booktitle={ECCV},
    year={2020}
    }
CycleISP: Real Image Restoration via Improved Data Synthesis
Syed Waqas Zamir, Aditya Arora, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan,
Ming-Hsuan Yang, Ling Shao
Computer Vision and Pattern Recognition (CVPR), 2020
arxiv / bibtex / code 
@inproceedings{Zamir2020CycleISP,
    title={CycleISP: Real Image Restoration via Improved Data Synthesis},
    author={Syed Waqas Zamir and Aditya Arora and Salman Khan and Munawar Hayat
            and Fahad Shahbaz Khan and Ming-Hsuan Yang and Ling Shao},
    booktitle={CVPR},
    year={2020}
    }
AnimalWeb: A Large-Scale Hierarchical Dataset of Annotated Animal Faces
Muhammad Haris Khan, John McDonagh, Salman Khan, Muhammad Shahabuddin,
Aditya Arora, Fahad Shahbaz Khan, Ling Shao, Georgios Tzimiropoulos
Computer Vision and Pattern Recognition (CVPR), 2020
arxiv / bibtex / project 
@inproceedings{khan2020animalweb,
    title={Animalweb: A large-scale hierarchical dataset of annotated animal faces},
    author={Muhammad Haris Khan and John McDonagh and Salman Khan
            and Muhammad Shahabuddin and Aditya Arora and Fahad Shahbaz Khan
            and Ling Shao and Georgios Tzimiropoulos},
    booktitle={CVPR},
    year={2020}
    }

2019
iSAID: A large-scale dataset for instance segmentation in aerial images
Syed Waqas Zamir*, Aditya Arora*, Akshita Gupta, Salman Khan, Guolei Sun,
Fahad Shahbaz Khan, Fan Zhu, Ling Shao, Gui-Song Xia, Xiang Bai
Computer Vision and Pattern Recognition Workshops (CVPRW), 2019
arxiv / bibtex / code / project 
@inproceedings{waqas2019isaid,
    title={isaid: A large-scale dataset for instance segmentation in aerial images},
    author={Syed Waqas Zamir and Aditya Arora and Akshita Gupta and Salman Khan
            and Guolei Sun and Fahad Shahbaz Khan and Fan Zhu and Ling Shao
            and Gui-Song Xia and Xiang Bai},
    booktitle={CVPR Workshops},
    year={2019}
    }
Learning digital camera pipeline for extreme low-light imaging
Syed Waqas Zamir, Aditya Arora, Salman Khan, Fahad Shahbaz Khan, Ling Shao
Neurocomputing, 2021
arxiv / bibtex 
@article{zamir2019learning,
    title={Learning digital camera pipeline for extreme low-light imaging},
    author={Syed Waqas Zamir and Aditya Arora and Salman Kha
            and Fahad Shahbaz Khan and Ling Shao},
    journal={arXiv preprint arXiv:1904.05939},
    year={2019}
    }

2018
Acoustic features fusion using attentive multi-channel deep architecture
Gaurav Bhatt, Akshita Gupta, Aditya Arora, Balasubramanian Raman
Interspeech Workshops, 2018
arxiv / bibtex / code 
@article{bhatt2018acoustic,
    title={Acoustic features fusion using attentive multi-channel deep architecture},
    author={Gaurav Bhatt and Akshita Gupta and Aditya Arora and Balasubramanian Raman},
    journal={arXiv preprint arXiv:1811.00936},
    year={2018}
    }

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