1 code implementation • 2 Jan 2024 • Dmitry Demidov, Roba Al Majzoub, Amandeep Kumar, Fahad Khan
Multi-class colorectal tissue classification is a challenging problem that is typically addressed in a setting, where it is assumed that ample amounts of training data is available.
1 code implementation • 4 Apr 2023 • Amandeep Kumar, Ankan Kumar Bhunia, Sanath Narayan, Hisham Cholakkal, Rao Muhammad Anwer, Jorma Laaksonen, Fahad Shahbaz Khan
In this work, we propose a few-shot colorectal tissue image generation method for addressing the scarcity of histopathological training data for rare cancer tissues.
1 code implementation • ICCV 2023 • Amandeep Kumar, Ankan Kumar Bhunia, Sanath Narayan, Hisham Cholakkal, Rao Muhammad Anwer, Salman Khan, Ming-Hsuan Yang, Fahad Shahbaz Khan
We present a method to efficiently generate 3D-aware high-resolution images that are view-consistent across multiple target views.
no code implementations • CVPR 2023 • Ayan Kumar Bhunia, Subhadeep Koley, Amandeep Kumar, Aneeshan Sain, Pinaki Nath Chowdhury, Tao Xiang, Yi-Zhe Song
Human sketch has already proved its worth in various visual understanding tasks (e. g., retrieval, segmentation, image-captioning, etc).
no code implementations • 2 Sep 2022 • Abdulaziz Amer Aleissaee, Amandeep Kumar, Rao Muhammad Anwer, Salman Khan, Hisham Cholakkal, Gui-Song Xia, Fahad Shahbaz Khan
Deep learning-based algorithms have seen a massive popularity in different areas of remote sensing image analysis over the past decade.
1 code implementation • 21 Aug 2021 • Prema Satish Sharan, Sowmya Aitha, Amandeep Kumar, Abhishek Trivedi, Aaron Augustine, Ravi Kiran Sarvadevabhatla
Handwritten documents are often characterized by dense and uneven layout.
no code implementations • ICCV 2021 • Ayan Kumar Bhunia, Aneeshan Sain, Amandeep Kumar, Shuvozit Ghose, Pinaki Nath Chowdhury, Yi-Zhe Song
In this paper, we argue that semantic information offers a complementary role in addition to visual only.
1 code implementation • CVPR 2021 • Ayan Kumar Bhunia, Shuvozit Ghose, Amandeep Kumar, Pinaki Nath Chowdhury, Aneeshan Sain, Yi-Zhe Song
In this paper, we take a completely different perspective -- we work on the assumption that there is always a new style that is drastically different, and that we will only have very limited data during testing to perform adaptation.
1 code implementation • 14 Jul 2020 • Amandeep Kumar, Shuvozit Ghose, Pinaki Nath Chowdhury, Partha Pratim Roy, Umapada Pal
In this paper, we present a novel approach towards document image binarization by introducing three-player min-max adversarial game.
Ranked #2 on Binarization on DIBCO 2011