no code implementations • 26 Aug 2023 • Danyang Tu, Wei Shen, Wei Sun, Xiongkuo Min, Guangtao Zhai
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.
no code implementations • ICCV 2023 • Danyang Tu, Wei Sun, Guangtao Zhai, Wei Shen
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.
1 code implementation • 30 Mar 2023 • Huiyu Duan, Wei Shen, Xiongkuo Min, Danyang Tu, Long Teng, Jia Wang, Guangtao Zhai
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)
no code implementations • 4 Jun 2022 • Danyang Tu, Wei Sun, Xiongkuo Min, Guangtao Zhai, Wei Shen
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.
1 code implementation • 18 Apr 2022 • Huiyu Duan, Wei Shen, Xiongkuo Min, Danyang Tu, Jing Li, Guangtao Zhai
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.
no code implementations • 20 Mar 2022 • Danyang Tu, Xiongkuo Min, Huiyu Duan, Guodong Guo, Guangtao Zhai, Wei Shen
Iwin Transformer is a hierarchical Transformer which progressively performs token representation learning and token agglomeration within irregular windows.
no code implementations • CVPR 2022 • Danyang Tu, Xiongkuo Min, Huiyu Duan, Guodong Guo, Guangtao Zhai, Wei Shen
In contrast, we redefine the HGT detection task as detecting human head locations and their gaze targets, simultaneously.