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Found 7 papers, 2 papers with code
Joint Gaze-Location and Gaze-Object Detection
In contrast, we reframe the gaze following detection task as detecting human head locations and their gaze followings simultaneously, aiming at jointly detect human gaze location and gaze object in a unified and single-stage pipeline.
Agglomerative Transformer for Human-Object Interaction Detection
We propose an agglomerative Transformer (AGER) that enables Transformer-based human-object interaction (HOI) detectors to flexibly exploit extra instance-level cues in a single-stage and end-to-end manner for the first time.
Masked Autoencoders as Image Processors
Recently, masked autoencoders (MAE) for feature pre-training have further unleashed the potential of Transformers, leading to state-of-the-art performances on various high-level vision tasks.
Ranked #4 on
Image Defocus Deblurring
on DPD (Dual-view)
Video-based Human-Object Interaction Detection from Tubelet Tokens
We present a novel vision Transformer, named TUTOR, which is able to learn tubelet tokens, served as highly-abstracted spatiotemporal representations, for video-based human-object interaction (V-HOI) detection.
Saliency in Augmented Reality
Therefore, in this paper, we mainly analyze the interaction effect between background (BG) scenes and AR contents, and study the saliency prediction problem in AR.
Iwin: Human-Object Interaction Detection via Transformer with Irregular Windows
Iwin Transformer is a hierarchical Transformer which progressively performs token representation learning and token agglomeration within irregular windows.
End-to-End Human-Gaze-Target Detection with Transformers
In contrast, we redefine the HGT detection task as detecting human head locations and their gaze targets, simultaneously.
