9 citations · 16 across the 8 of their papers we have counts for
7 papers · 1 filter
A Transformer-Based Model for the Prediction of Human Gaze Behavior on Videos
Suleyman Ozdel, Yao Rong, Berat Mert Albaba +3
Eye-tracking applications that utilize the human gaze in video understanding tasks have become increasingly important. To effectively automate the process of video analysis based o…
Gaze-Guided Graph Neural Network for Action Anticipation Conditioned on Intention
Suleyman Ozdel, Yao Rong, Berat Mert Albaba +3
Humans utilize their gaze to concentrate on essential information while perceiving and interpreting intentions in videos. Incorporating human gaze into computational algorithms can…
Model Will Tell: Training Membership Inference for Diffusion Models
Xiaomeng Fu, Xi Wang, Qiao Li +3
Diffusion models pose risks of privacy breaches and copyright disputes, primarily stemming from the potential utilization of unauthorized data during the training phase. The Traini…
RHOBIN Challenge: Reconstruction of Human Object Interaction
Xianghui Xie, Xi Wang, Nikos Athanasiou +17
Modeling the interaction between humans and objects has been an emerging research direction in recent years. Capturing human-object interaction is however a very challenging task d…
EFE: End-to-end Frame-to-Gaze Estimation
Haldun Balim, Seonwook Park, Xi Wang +2
Despite the recent development of learning-based gaze estimation methods, most methods require one or more eye or face region crops as inputs and produce a gaze direction vector as…
FONT: Flow-guided One-shot Talking Head Generation with Natural Head Motions
Jin Liu, Xi Wang, Xiaomeng Fu +4
One-shot talking head generation has received growing attention in recent years, with various creative and practical applications. An ideal natural and vivid generated talking head…