3 citations · 10 across the 13 of their papers we have counts for
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cs.CV2025★ 2 cited
Efficient Feature Compression for Machines with Global Statistics Preservation
Md Eimran Hossain Eimon, Hyomin Choi, Fabien Racapé +4
The split-inference paradigm divides an artificial intelligence (AI) model into two parts. This necessitates the transfer of intermediate feature data between the two halves. Here,…
cs.CV2024
Scalable Human-Machine Point Cloud Compression
Mateen Ulhaq, Ivan V. Bajić
Due to the limited computational capabilities of edge devices, deep learning inference can be quite expensive. One remedy is to compress and transmit point cloud data over the netw…
cs.CV2021★ 1 cited
Analysis of Latent-Space Motion for Collaborative Intelligence
Mateen Ulhaq, Ivan V. Bajić
When the input to a deep neural network (DNN) is a video signal, a sequence of feature tensors is produced at the intermediate layers of the model. If neighboring frames of the inp…