The authors implement a stall-free deep-pipelined FPGA dataflow architecture for GraVNetConv and condensation clustering, achieving real-time throughput and latency on a Versal FPGA.
Dynamic graph cnn for learning on point clouds
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
eess.SP 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Real-Time Graph-based Point Cloud Networks on FPGAs via Stall-Free Deep Pipelining
The authors implement a stall-free deep-pipelined FPGA dataflow architecture for GraVNetConv and condensation clustering, achieving real-time throughput and latency on a Versal FPGA.