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Found 6 papers, 5 papers with code
Non-linear Motion Estimation for Video Frame Interpolation using Space-time Convolutions
Video frame interpolation aims to synthesize one or multiple frames between two consecutive frames in a video.
Co-segmentation Inspired Attention Module for Video-based Computer Vision Tasks
In this work, we propose to utilize the common rationale that a sequence of video frames capture a set of common objects and interactions between them, thus a notion of co-segmentation between the video frame features may equip the model with the ability to automatically focus on task-specific salient regions and improve the underlying task's performance in an end-to-end manner.
MARNet: Multi-Abstraction Refinement Network for 3D Point Cloud Analysis
Representation learning from 3D point clouds is challenging due to their inherent nature of permutation invariance and irregular distribution in space.
Co-Segmentation Inspired Attention Networks for Video-Based Person Re-Identification
Person re-identification (Re-ID) is an important real-world surveillance problem that entails associating a person's identity over a network of cameras.
Deep Neural Networks with Inexact Matching for Person Re-Identification
A novel inexact matching technique then matches pixels in the first representation with those of the second.
Bi-modal First Impressions Recognition using Temporally Ordered Deep Audio and Stochastic Visual Features
We propose a novel approach for First Impressions Recognition in terms of the Big Five personality-traits from short videos.
