157 citations · 189 across the 6 of their papers we have counts for
6 papers
Biased Mixtures Of Experts: Enabling Computer Vision Inference Under Data Transfer Limitations
Alhabib Abbas, Yiannis Andreopoulos
We propose a novel mixture-of-experts class to optimize computer vision models in accordance with data transfer limitations at test time. Our approach postulates that the minimum a…
Graph-based Spatial-temporal Feature Learning for Neuromorphic Vision Sensing
Yin Bi, Aaron Chadha, Alhabib Abbas +2
Neuromorphic vision sensing (NVS)\ devices represent visual information as sequences of asynchronous discrete events (a.k.a., "spikes") in response to changes in scene reflectance.…
Graph-Based Object Classification for Neuromorphic Vision Sensing
Yin Bi, Aaron Chadha, Alhabib Abbas +2
Neuromorphic vision sensing (NVS)\ devices represent visual information as sequences of asynchronous discrete events (a.k.a., ``spikes'') in response to changes in scene reflectanc…
Rate-Accuracy Trade-Off In Video Classification With Deep Convolutional Neural Networks
Mohammad Jubran, Alhabib Abbas, Aaron Chadha +1
Advanced video classification systems decode video frames to derive the necessary texture and motion representations for ingestion and analysis by spatio-temporal deep convolutiona…
Video Classification With CNNs: Using The Codec As A Spatio-Temporal Activity Sensor
Aaron Chadha, Alhabib Abbas, Yiannis Andreopoulos
We investigate video classification via a two-stream convolutional neural network (CNN) design that directly ingests information extracted from compressed video bitstreams. Our app…
Vectors of Locally Aggregated Centers for Compact Video Representation
Alhabib Abbas, Nikos Deligiannis, Yiannis Andreopoulos
We propose a novel vector aggregation technique for compact video representation, with application in accurate similarity detection within large video datasets. The current state-o…