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Found 5 papers, 3 papers with code
Lightweight Deep Learning for Resource-Constrained Environments: A Survey
Over the past decade, the dominance of deep learning has prevailed across various domains of artificial intelligence, including natural language processing, computer vision, and biomedical signal processing.
Saliency-aware Stereoscopic Video Retargeting
We use 1D convolution for shifting the salient objects and design a stereo video Transformer to assist the retargeting process.
A New Dataset and Transformer for Stereoscopic Video Super-Resolution
Due to the lack of a benchmark dataset suitable for the SVSR task, we collected a new stereoscopic video dataset, SVSR-Set, containing 71 full high-definition (HD) stereo videos captured using a professional stereo camera.
HiMODE: A Hybrid Monocular Omnidirectional Depth Estimation Model
Extensive experiments conducted on three datasets; Stanford3D, Matterport3D, and SunCG, demonstrate that HiMODE can achieve state-of-the-art performance for 360{\deg} monocular depth estimation.
Ranked #1 on
Depth Estimation
on Stanford2D3D Panoramic
Shallow Optical Flow Three-Stream CNN for Macro- and Micro-Expression Spotting from Long Videos
Facial expressions vary from the visible to the subtle.
