Alhabib Abbas

According to our database, Alhabib Abbas authored at least 12 papers between 2015 and 2022.

Collaborative distances:

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

2022

Sequence-Level Reference Frames in Video Coding.

Mohammad K. Jubran, Alhabib Abbas, Yiannis Andreopoulos

IEEE Trans. Circuits Syst. Video Technol., 2022

PAC-Bayesian Bounds on Rate-Efficient Classifiers.

Alhabib Abbas, Yiannis Andreopoulos

Proceedings of the International Conference on Machine Learning, 2022

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

Biased Mixtures of Experts: Enabling Computer Vision Inference Under Data Transfer Limitations.

Alhabib Abbas, 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

Verifiable Event Record Management for a Store-Carry-Forward-Based Data Delivery Platform by Blockchain.

Yoshito Watanabe, Wei Liu, Alhabib Abbas, Yiannis Andreopoulos, Mikio Hasegawa, Yozo Shoji

Proceedings of the 31st IEEE Annual International Symposium on Personal, 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

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

Vectors of locally aggregated centers for compact video representation.

Alhabib Abbas, Nikos Deligiannis, Yiannis Andreopoulos

Proceedings of the 2015 IEEE International Conference on Multimedia and Expo, 2015