In particular, instead of modeling frame-wise attention via pose similarity, we propose to extract motion attention to capture the similarity between the current motion context and the historical motion sub-sequences. Aggregating the relevant past motions and processing the result with a graph ...
Introvert: Human Trajectory Prediction via Conditional 3D Attention Nasim Shafiee Northeastern University shafiee.n@northeastern.edu Taskin Padir Northeastern University t.padir@northeastern.edu Ehsan Elhamifar Northeastern University e.elhamifar@northeastern.edu Abstract Predicting ...
I2L-MeshNet: Image-to-Lixel Prediction Network for Accurate 3D Human Pose and Mesh Estimation from a Single RGB Image. In ECCV, 2020. Learning 3D Human Shape and Pose from Dense Body Parts. In TPAMI, 2020. ExPose: Monocular Expressive Body Regression through Body-Driven Attention. In ECCV, ...
Related models are executed in an attention pipeline to provide details when needed Optimized input pre-processing that can enhance image quality of any type of inputs Detection of frame changes to trigger only required models for improved performance ...
However, it still struggles to generate unseen motions, like gymnastics, even if MotionGPTs understand the text inputs.In view of the recent success of LLMs, MotionGPT should pay attention to unifying current available datasets to exploit the scalable potential of language models when processing ...
Motion relations in visual scenes carry an abundance of behaviorally relevant information, but little is known about how humans identify the structure underlying a scene’s motion in the first place. We studied the computations governing human motion str
we had human subjects perform the same attentive motion-tracking task that lead to the discovery of PITd as an attention area in macaque monkeys10. The task required subjects to covertly pay attention to one of two random dot stimuli (Fig.2a; see Methods). Random dots changed translation dire...
channel attention是在align不同的模态,spatial scan是在做模态间相关性的特征提取 MMVP: A Multimodal MoCap Dataset with Vision and Pressure Sensors 显式建模脚和地面的接触的力来提升HMR的工作 想法很直接,利用pressure的连续性和contact的接触loss约束人体重建的过程 TRAM: Global Trajectory and Motion of 3D ...
Some services focus one detecting emergency (e.g., falls or heart attacks) which needs urgent medical attention. Though a lot of research has been done in this regard, a significant amount of research is still needed to develop robust algorithms for such activity pattern analysis where there ...
The model had the ability of frequency attention after applying attention mechanism. The above models had good performance when extracting sptial location features. But they came across the problem of extracting temporal features. Thus, Amer et al.13 proposed two-step approach to recognize HAR. ...