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20212026
most citedTemporal Action Proposal Generation with Transformers

16 citations · 27 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2026

ShotPlan: Cinematic Video Generation with Learnable Planning Token

Su Guo, Guangce Liu, Haosen Yang +7

Current video generation models achieve impressive results in single-shot generation, yet remain limited in cinematic video generation, where coherent narratives and effective mult…

cs.CV2022★ 9 cited

Self-supervised Video Representation Learning with Motion-Aware Masked Autoencoders

Haosen Yang, Deng Huang, Bin Wen +5

Masked autoencoders (MAEs) have emerged recently as art self-supervised spatiotemporal representation learners. Inheriting from the image counterparts, however, existing video MAEs…

cs.CV2022★ 1 cited

NSNet: Non-saliency Suppression Sampler for Efficient Video Recognition

Boyang Xia, Wenhao Wu, Haoran Wang +5

It is challenging for artificial intelligence systems to achieve accurate video recognition under the scenario of low computation costs. Adaptive inference based efficient video re…

cs.CV2021★ 1 cited

Temporal Action Proposal Generation with Background Constraint

Haosen Yang, Wenhao Wu, Lining Wang +4

Temporal action proposal generation (TAPG) is a challenging task that aims to locate action instances in untrimmed videos with temporal boundaries. To evaluate the confidence of pr…

cs.CV2021★ 16 cited

Temporal Action Proposal Generation with Transformers

Lining Wang, Haosen Yang, Wenhao Wu +2

Transformer networks are effective at modeling long-range contextual information and have recently demonstrated exemplary performance in the natural language processing domain. Con…