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cs.CV2024
Towards Task-Compatible Compressible Representations
Anderson de Andrade, Ivan Bajić
We identify an issue in multi-task learnable compression, in which a representation learned for one task does not positively contribute to the rate-distortion performance of a diff…
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…