GS-SCNet unifies 3D Gaussian Splatting with a disparity-guided semantic codec and direct Gaussian parameter prediction for efficient real-time 3D video communications with strong generalization.
Xception: Deep learning with depthwise separable convolu- tions
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LAA-X uses multi-task learning with explicit localized artifact attention and blending synthesis to build a deepfake detector that generalizes to high-quality and unseen manipulations after training only on real and pseudo-fake samples.
Performance tests of dApps in O-RAN show trade-offs between bare-metal and container deployments and benefits from smart NIC offloading for better responsiveness.
LRD-Net achieves state-of-the-art cross-domain face forgery detection via a frequency-guided lightweight backbone and real-centered learning with only 2.63M parameters and substantially faster training and inference.
citing papers explorer
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Generalizable 3D Gaussian Splatting enabled Semantic Coding for Real-Time Immersive Video Communications
GS-SCNet unifies 3D Gaussian Splatting with a disparity-guided semantic codec and direct Gaussian parameter prediction for efficient real-time 3D video communications with strong generalization.
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LAA-X: Unified Localized Artifact Attention for Quality-Agnostic and Generalizable Face Forgery Detection
LAA-X uses multi-task learning with explicit localized artifact attention and blending synthesis to build a deepfake detector that generalizes to high-quality and unseen manipulations after training only on real and pseudo-fake samples.
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Performance Characterization of dApps in Open Radio Access Networks
Performance tests of dApps in O-RAN show trade-offs between bare-metal and container deployments and benefits from smart NIC offloading for better responsiveness.
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LRD-Net: A Lightweight Real-Centered Detection Network for Cross-Domain Face Forgery Detection
LRD-Net achieves state-of-the-art cross-domain face forgery detection via a frequency-guided lightweight backbone and real-centered learning with only 2.63M parameters and substantially faster training and inference.