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Aaron Chadha
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2020 – today
- 2024
- [c8]Jia-Jie Lim, Matthias Sebastian Treder, Aaron Chadha, Yiannis Andreopoulos:
Adaptive Render-Video Streaming for Virtual Environments. CVPR Workshops 2024: 5742-5751 - 2022
- [c7]Aaron Chadha, Ioannis Katsavounidis, Ayan Kumar Bhunia, Cosmin Stejerean
, Mohammad Umar Karim Khan, Yiannis Andreopoulos:
Domain-Specific Fusion Of Objective Video Quality Metrics. ACM Multimedia 2022: 1387-1395 - 2021
- [c6]Aaron Chadha, Yiannis Andreopoulos:
Deep Perceptual Preprocessing for Video Coding. CVPR 2021: 14852-14861 - 2020
- [j6]Mohammad K. Jubran
Rate-Accuracy Trade-Off in Video Classification With Deep Convolutional Neural Networks. IEEE Trans. Circuits Syst. Video Technol. 30(1): 145-154 (2020) - [j5]Eirina Bourtsoulatze
Deep Video Precoding. IEEE Trans. Circuits Syst. Video Technol. 30(12): 4913-4928 (2020) - [j4]Aaron Chadha
Improved Techniques for Adversarial Discriminative Domain Adaptation. IEEE Trans. Image Process. 29: 2622-2637 (2020) - [j3]Yin Bi
Graph-Based Spatio-Temporal Feature Learning for Neuromorphic Vision Sensing. IEEE Trans. Image Process. 29: 9084-9098 (2020)
2010 – 2019
- 2019
- [j2]Aaron Chadha, Alhabib Abbas, Yiannis Andreopoulos
Video Classification With CNNs: Using the Codec as a Spatio-Temporal Activity Sensor. IEEE Trans. Circuits Syst. Video Technol. 29(2): 475-485 (2019) - [c5]Aaron Chadha, Yin Bi, Alhabib Abbas, Yiannis Andreopoulos:
Neuromorphic Vision Sensing for CNN-based Action Recognition. ICASSP 2019: 7968-7972 - [c4]Yin Bi, Aaron Chadha, Alhabib Abbas, Eirina Bourtsoulatze, Yiannis Andreopoulos:
Graph-Based Object Classification for Neuromorphic Vision Sensing. ICCV 2019: 491-501 - [i7]Eirina Bourtsoulatze, Aaron Chadha, Ilya Fadeev, Vasileios Giotsas, Yiannis Andreopoulos:
Deep Video Precoding. CoRR abs/1908.00812 (2019) - [i6]Yin Bi, Aaron Chadha, Alhabib Abbas, Eirina Bourtsoulatze, Yiannis Andreopoulos:
Graph-Based Object Classification for Neuromorphic Vision Sensing. CoRR abs/1908.06648 (2019) - [i5]Yin Bi, Aaron Chadha, Alhabib Abbas, Eirina Bourtsoulatze, Yiannis Andreopoulos:
Graph-based Spatial-temporal Feature Learning for Neuromorphic Vision Sensing. CoRR abs/1910.03579 (2019) - 2018
- [c3]Alhabib Abbas, Aaron Chadha, Yiannis Andreopoulos, Mohammad K. Jubran
Rate-Accuracy Trade-Off in Video Classification with Deep Convolutional Neural Networks. ICIP 2018: 793-797 - [i4]Aaron Chadha, Yiannis Andreopoulos:
Improving Adversarial Discriminative Domain Adaptation. CoRR abs/1809.03625 (2018) - [i3]Mohammad K. Jubran, Alhabib Abbas, Aaron Chadha, Yiannis Andreopoulos:
Rate-Accuracy Trade-Off In Video Classification With Deep Convolutional Neural Networks. CoRR abs/1810.03964 (2018) - 2017
- [j1]Aaron Chadha, Yiannis Andreopoulos
Voronoi-Based Compact Image Descriptors: Efficient Region-of-Interest Retrieval With VLAD and Deep-Learning-Based Descriptors. IEEE Trans. Multim. 19(7): 1596-1608 (2017) - [c2]Aaron Chadha, Alhabib Abbas, Yiannis Andreopoulos:
Compressed-domain video classification with deep neural networks: "There's way too much information to decode the matrix". ICIP 2017: 1832-1836 - [i2]Aaron Chadha, Alhabib Abbas, Yiannis Andreopoulos:
Video Classification With CNNs: Using The Codec As A Spatio-Temporal Activity Sensor. CoRR abs/1710.05112 (2017) - 2016
- [i1]Aaron Chadha, Yiannis Andreopoulos:
Voronoi-based compact image descriptors: Efficient Region-of-Interest retrieval with VLAD and deep-learning-based descriptors. CoRR abs/1611.08906 (2016) - 2015
- [c1]Aaron Chadha, Yiannis Andreopoulos:
Region-of-Interest Retrieval in Large Image Datasets with Voronoi VLAD. ICVS 2015: 218-227
Coauthor Index
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