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20212023
most citedAligning Correlation Information for Domain Adaptation in Action Recognition

40 citations · 95 across the 13 of their papers we have counts for

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Showing 2021Show all

5 papers · 1 filter

cs.CV2021★ 2 cited

Global Context with Discrete Diffusion in Vector Quantised Modelling for Image Generation

Minghui Hu, Yujie Wang, Tat-Jen Cham +2

The integration of Vector Quantised Variational AutoEncoder (VQ-VAE) with autoregressive models as generation part has yielded high-quality results on image generation. However, th…

cs.CV2021★ 1 cited

Self-Supervised Video Representation Learning by Video Incoherence Detection

Haozhi Cao, Yuecong Xu, Jianfei Yang +4

This paper introduces a novel self-supervised method that leverages incoherence detection for video representation learning. It roots from the observation that visual systems of hu…

cs.CV2021★ 5 cited

Multi-Source Video Domain Adaptation with Temporal Attentive Moment Alignment

Yuecong Xu, Jianfei Yang, Haozhi Cao +4

Multi-Source Domain Adaptation (MSDA) is a more practical domain adaptation scenario in real-world scenarios. It relaxes the assumption in conventional Unsupervised Domain Adaptati…

cs.CV2021

Partial Video Domain Adaptation with Partial Adversarial Temporal Attentive Network

Yuecong Xu, Jianfei Yang, Haozhi Cao +3

Partial Domain Adaptation (PDA) is a practical and general domain adaptation scenario, which relaxes the fully shared label space assumption such that the source label space subsum…

cs.CV2021★ 40 cited

Aligning Correlation Information for Domain Adaptation in Action Recognition

Yuecong Xu, Jianfei Yang, Haozhi Cao +3

Domain adaptation (DA) approaches address domain shift and enable networks to be applied to different scenarios. Although various image DA approaches have been proposed in recent y…