Aaron Chadha

According to our database, Aaron Chadha authored at least 14 papers between 2015 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Domain-Specific Fusion Of Objective Video Quality Metrics.

Aaron Chadha, Ioannis Katsavounidis, Ayan Kumar Bhunia, Cosmin Stejerean, Mohammad Umar Karim Khan, Yiannis Andreopoulos

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

2021

Deep Perceptual Preprocessing for Video Coding.

Aaron Chadha, Yiannis Andreopoulos

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Improved Techniques for Adversarial Discriminative Domain Adaptation.

Aaron Chadha, Yiannis Andreopoulos

IEEE Trans. Image Process., 2020

Graph-Based Spatio-Temporal Feature Learning for Neuromorphic Vision Sensing.

Yin Bi, Aaron Chadha, Alhabib Abbas, Eirina Bourtsoulatze, Yiannis Andreopoulos

IEEE Trans. Image Process., 2020

Rate-Accuracy Trade-Off in Video Classification With Deep Convolutional Neural Networks.

Mohammad K. Jubran, Alhabib Abbas, Aaron Chadha, Yiannis Andreopoulos

IEEE Trans. Circuits Syst. Video Technol., 2020

Deep Video Precoding.

Eirina Bourtsoulatze, Aaron Chadha, Ilya Fadeev, Vasileios Giotsas, Yiannis Andreopoulos

IEEE Trans. Circuits Syst. Video Technol., 2020

2019

Video Classification With CNNs: Using the Codec as a Spatio-Temporal Activity Sensor.

Aaron Chadha, Alhabib Abbas, Yiannis Andreopoulos

IEEE Trans. Circuits Syst. Video Technol., 2019

Graph-based Spatial-temporal Feature Learning for Neuromorphic Vision Sensing.

Yin Bi, Aaron Chadha, Alhabib Abbas, Eirina Bourtsoulatze, Yiannis Andreopoulos

CoRR, 2019

Graph-Based Object Classification for Neuromorphic Vision Sensing.

Yin Bi, Aaron Chadha, Alhabib Abbas, Eirina Bourtsoulatze, Yiannis Andreopoulos

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Neuromorphic Vision Sensing for CNN-based Action Recognition.

Aaron Chadha, Yin Bi, Alhabib Abbas, Yiannis Andreopoulos

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

Improving Adversarial Discriminative Domain Adaptation.

Aaron Chadha, Yiannis Andreopoulos

CoRR, 2018

2017

Voronoi-Based Compact Image Descriptors: Efficient Region-of-Interest Retrieval With VLAD and Deep-Learning-Based Descriptors.

Aaron Chadha, Yiannis Andreopoulos

IEEE Trans. Multim., 2017

Compressed-domain video classification with deep neural networks: "There's way too much information to decode the matrix".

Aaron Chadha, Alhabib Abbas, Yiannis Andreopoulos

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

2015

Region-of-Interest Retrieval in Large Image Datasets with Voronoi VLAD.

Aaron Chadha, Yiannis Andreopoulos

Proceedings of the Computer Vision Systems - 10th International Conference, 2015