DeltaCNN: End-to-End CNN Inference of Sparse Frame Differences in Videos

DeltaCNN: End-to-End CNN Inference of Sparse Frame Differences in Videos

8 March 2022

Chengcheng Tang

Christopher D. Twigg

Papers citing "DeltaCNN: End-to-End CNN Inference of Sparse Frame Differences in Videos"

6 / 6 papers shown

Title
Accelerated Event-Based Feature Detection and Compression for Surveillance Video Systems Andrew C. Freeman Ketan Mayer-Patel Montek Singh 35 5 0 13 Dec 2023
Uncertainty-Guided Spatial Pruning Architecture for Efficient Frame Interpolation Ri Cheng Xuhao Jiang Ruian He Shili Zhou Weimin Tan Bo Yan 43 2 0 31 Jul 2023
Incrementally-Computable Neural Networks: Efficient Inference for Dynamic Inputs Or Sharir Anima Anandkumar 32 0 0 27 Jul 2023
Efficient Spatially Sparse Inference for Conditional GANs and Diffusion Models Muyang Li Ji Lin Chenlin Meng Stefano Ermon Song Han Jun-Yan Zhu DiffM 40 45 0 03 Nov 2022
MotionDeltaCNN: Sparse CNN Inference of Frame Differences in Moving Camera Videos Mathias Parger Chengcheng Tang Thomas Neff Christopher D. Twigg Cem Keskin Robert Y. Wang M. Steinberger 27 6 0 18 Oct 2022
Skip-Convolutions for Efficient Video Processing A. Habibian Davide Abati Taco S. Cohen B. Bejnordi 54 50 0 23 Apr 2021