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Found 7 papers, 1 papers with code
Gaussian Mixture Proposals with Pull-Push Learning Scheme to Capture Diverse Events for Weakly Supervised Temporal Video Grounding
In the weakly supervised temporal video grounding study, previous methods use predetermined single Gaussian proposals which lack the ability to express diverse events described by the sentence query.
Exploring the Privacy-Energy Consumption Tradeoff for Split Federated Learning
However, since the model is split at a specific layer, known as a cut layer, into both client-side and server-side models for the SFL, the choice of the cut layer in SFL can have a substantial impact on the energy consumption of clients and their privacy, as it influences the training burden and the output of the client-side models.
Texture Generation Using Dual-Domain Feature Flow with Multi-View Hallucinations
To provide sufficient information for estimating a complete texture map, the proposed model simultaneously generates multi-view hallucinations in the image domain and an estimated texture map in the texture domain.
Robust Pedestrian Attribute Recognition Using Group Sparsity for Occlusion Videos
To solve the uncorrelated attention issue, we also propose a novel group sparsity-based temporal attention module.
Deep Pose Consensus Networks
In this paper, to resolve this issue, we propose a multiple-partial-hypothesis-based framework for the problem of estimating 3D human pose from a single image, which can be fine-tuned in an end-to-end fashion.
Consensus of Non-Rigid Reconstructions
Recently, there have been many progresses for the problem of non-rigid structure reconstruction based on 2D trajectories, but it is still challenging to deal with complex deformations or restricted view ranges.
Procrustean Normal Distribution for Non-rigid Structure from Motion
Non-rigid structure from motion is a fundamental problem in computer vision, which is yet to be solved satisfactorily.
