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ORCIDAakanksha Rana
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2020 – today
- 2024
[c15]Sharut Gupta, Ken Chang, Liangqiong Qu, Aakanksha Rana, Syed Rakin Ahmed, Mehak Aggarwal, Nishanth Thumbavanam Arun, Ashwin Vaswani, Shruti Raghavan, Vibha Agarwal, Mishka Gidwani, Katharina Hoebel, Jay B. Patel, Charles Lu, Christopher P. Bridge, Daniel L. Rubin, Jayashree Kalpathy-Cramer, Praveer Singh:
Addressing Catastrophic Forgetting by Modulating Global Batch Normalization Statistics for Medical Domain Expansion. AIPAD/PILM@MICCAI 2024: 57-72- [c14]Lakshika Rathi
, Giacomo Nebbia, Ken Chang, Sourav Kumar, Aarushi Gupta, Syed Rakin Ahmed, Jay B. Patel, Christopher Clark, Yoga Advaith Veturi, Aaron S. Coyner, Aakanksha Rana, Christopher P. Bridge, Stephen McNamara, J. Peter Campbell, Matthew D. Li, Jayashree Kalpathy-Cramer, Praveer Singh:
Cycle-GANs Generated Difference Maps to Interpret Race Prediction from Medical Images. FAIMI/EPIMI@MICCAI 2024: 129-139 - 2023
- [j3]Alexander G. Yearley, Caroline M. W. Goedmakers, Armon Panahi, Joanne Doucette, Aakanksha Rana, Kavitha Ranganathan, Timothy R. Smith:
FDA-approved machine learning algorithms in neuroradiology: A systematic review of the current evidence for approval. Artif. Intell. Medicine 143: 102607 (2023) - 2021
- [c13]Cagri Ozcinar, Aakanksha Rana:
Quality Assessment of Super-Resolved Omnidirectional Image Quality Using Tangential Views. IQSP 2021 - [i8]Cagri Ozcinar, Aakanksha Rana:
Quality Assessment of Super-Resolved Omnidirectional Image Quality Using Tangential Views. CoRR abs/2101.10396 (2021) - 2020
- [j2]Aakanksha Rana, Praveer Singh, Giuseppe Valenzise, Frédéric Dufaux, Nikos Komodakis, Aljosa Smolic:
Deep Tone Mapping Operator for High Dynamic Range Images. IEEE Trans. Image Process. 29: 1285-1298 (2020) - [i7]Supratik Banerjee, Cagri Ozcinar, Aakanksha Rana, Aljosa Smolic, Michael Manzke:
Sub-Pixel Back-Projection Network For Lightweight Single Image Super-Resolution. CoRR abs/2008.01116 (2020)
2010 – 2019
- 2019
- [j1]Aakanksha Rana, Giuseppe Valenzise, Frédéric Dufaux:
Learning-Based Tone Mapping Operator for Efficient Image Matching. IEEE Trans. Multim. 21(1): 256-268 (2019) - [c12]S. M. Iman Zolanvari, Susana Ruano, Aakanksha Rana, Alan Cummins, Rogério Eduardo da Silva, Morteza Rahbar, Aljosa Smolic:
DublinCity: Annotated LiDAR Point Cloud and its Applications. BMVC 2019: 44 - [c11]Aakanksha Rana, Cagri Ozcinar, Aljosa Smolic:
Towards Generating Ambisonics Using Audio-visual Cue for Virtual Reality. ICASSP 2019: 2012-2016 - [c10]Koustav Ghosal, Aakanksha Rana, Aljosa Smolic:
Aesthetic Image Captioning From Weakly-Labelled Photographs. ICCV Workshops 2019: 4550-4560 - [c9]Emin Zerman, Aakanksha Rana, Aljosa Smolic:
Colornet - Estimating Colorfulness in Natural Images. ICIP 2019: 3791-3795 - [c8]Cagri Ozcinar, Aakanksha Rana, Aljosa Smolic:
Super-resolution of Omnidirectional Images Using Adversarial Learning. MMSP 2019: 1-6 - [i6]Aakanksha Rana, Praveer Singh, Giuseppe Valenzise, Frédéric Dufaux, Nikos Komodakis, Aljosa Smolic:
Deep Tone Mapping Operator for High Dynamic Range Images. CoRR abs/1908.04197 (2019) - [i5]Cagri Ozcinar, Aakanksha Rana, Aljosa Smolic:
Super-resolution of Omnidirectional Images Using Adversarial Learning. CoRR abs/1908.04297 (2019) - [i4]Aakanksha Rana, Cagri Ozcinar, Aljoscha Smolic:
Towards Generating Ambisonics Using Audio-Visual Cue for Virtual Reality. CoRR abs/1908.06752 (2019) - [i3]Emin Zerman, Aakanksha Rana, Aljosa Smolic:
ColorNet - Estimating Colorfulness in Natural Images. CoRR abs/1908.08505 (2019) - [i2]Koustav Ghosal, Aakanksha Rana, Aljosa Smolic:
Aesthetic Image Captioning From Weakly-Labelled Photographs. CoRR abs/1908.11310 (2019) - [i1]S. M. Iman Zolanvari, Susana Ruano, Aakanksha Rana, Alan Cummins, Rogério Eduardo da Silva, Morteza Rahbar, Aljosa Smolic:
DublinCity: Annotated LiDAR Point Cloud and its Applications. CoRR abs/1909.03613 (2019) - 2018
- [b1]Aakanksha Rana:
High Dynamic Range (HDR) image analysis. (Analyse d'images haute gamme dynamique). Télécom Paris, France, 2018 - 2017
- [c7]Aakanksha Rana, Giuseppe Valenzise, Frédéric Dufaux:
Learning-based tone mapping operator for image matching. ICIP 2017: 2374-2378 - [c6]Aakanksha Rana, Giuseppe Valenzise, Frédéric Dufaux:
Learning-based adaptive tone mapping for keypoint detection. ICME 2017: 337-342 - 2016
- [c5]Aakanksha Rana, Giuseppe Valenzise, Frédéric Dufaux:
Optimizing tone mapping operators for keypoint detection under illumination changes. MMSP 2016: 1-6 - [c4]Aakanksha Rana, Giuseppe Valenzise, Frédéric Dufaux:
An evaluation of HDR image matching under extreme illumination changes. VCIP 2016: 1-4 - 2015
- [c3]Aakanksha Rana, Giuseppe Valenzise, Frédéric Dufaux:
Evaluation of Feature Detection in HDR Based Imaging Under Changes in Illumination Conditions. ISM 2015: 289-294 - 2014
- [c2]Aakanksha Rana, Joaquin Zepeda, Patrick Pérez:
Feature Learning for the Image Retrieval Task. ACCV Workshops (3) 2014: 152-165 - [c1]Yuliya Tarabalka, Aakanksha Rana:
Graph-cut-based model for spectral-spatial classification of hyperspectral images. IGARSS 2014: 3418-3421
Coauthor Index
aka: Aljosa Smolic
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