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08/28/2023
LAC: Latent Action Composition for Skeleton-based Action Segmentation
Skeleton-based action segmentation requires recognizing composable actio...
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07/13/2023
InternVid: A Large-scale Video-Text Dataset for Multimodal Understanding and Generation
This paper introduces InternVid, a large-scale video-centric multimodal ...
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07/10/2023
AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning
With the advance of text-to-image models (e.g., Stable Diffusion) and co...
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05/10/2023
Self-Supervised Video Representation Learning via Latent Time Navigation
Self-supervised video representation learning aimed at maximizing simila...
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05/06/2023
LEO: Generative Latent Image Animator for Human Video Synthesis
Spatio-temporal coherency is a major challenge in synthesizing high qual...
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05/02/2023
Long-Term Rhythmic Video Soundtracker
We consider the problem of generating musical soundtracks in sync with r...
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04/24/2023
Hierarchical Diffusion Autoencoders and Disentangled Image Manipulation
Diffusion models have attained impressive visual quality for image synth...
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01/02/2023
Learning Invariance from Generated Variance for Unsupervised Person Re-identification
This work focuses on unsupervised representation learning in person re-i...
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08/31/2022
ViA: View-invariant Skeleton Action Representation Learning via Motion Retargeting
Current self-supervised approaches for skeleton action representation le...
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03/17/2022
Latent Image Animator: Learning to Animate Images via Latent Space Navigation
Due to the remarkable progress of deep generative models, animating imag...
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07/19/2021
UNIK: A Unified Framework for Real-world Skeleton-based Action Recognition
Action recognition based on skeleton data has recently witnessed increas...
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01/08/2021
InMoDeGAN: Interpretable Motion Decomposition Generative Adversarial Network for Video Generation
In this work, we introduce an unconditional video generative model, InMo...
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12/16/2020
Joint Generative and Contrastive Learning for Unsupervised Person Re-identification
Annotating identity labels in large-scale datasets is a labour-intensive...
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11/10/2020
Selective Spatio-Temporal Aggregation Based Pose Refinement System: Towards Understanding Human Activities in Real-World Videos
Taking advantage of human pose data for understanding human activities h...
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12/11/2019