activity
20202022
most citedTransferable Interactiveness Knowledge for Human-Object Interaction Detection

73 citations · 175 across the 9 of their papers we have counts for

collaborators

9 papers

cs.CV2022

Discovering A Variety of Objects in Spatio-Temporal Human-Object Interactions

Yong-Lu Li, Hongwei Fan, Zuoyu Qiu +8

Spatio-temporal Human-Object Interaction (ST-HOI) detection aims at detecting HOIs from videos, which is crucial for activity understanding. In daily HOIs, humans often interact wi…

cs.CV202237 cited

AlphaPose: Whole-Body Regional Multi-Person Pose Estimation and Tracking in Real-Time

Hao-Shu Fang, Jiefeng Li, Hongyang Tang +5

Accurate whole-body multi-person pose estimation and tracking is an important yet challenging topic in computer vision. To capture the subtle actions of humans for complex behavior…

cs.CV20221 cited

Interactiveness Field in Human-Object Interactions

Xinpeng Liu, Yong-Lu Li, Xiaoqian Wu +3

Human-Object Interaction (HOI) detection plays a core role in activity understanding. Though recent two/one-stage methods have achieved impressive results, as an essential step, di…

cs.CV2022

Highlighting Object Category Immunity for the Generalization of Human-Object Interaction Detection

Xinpeng Liu, Yong-Lu Li, Cewu Lu

Human-Object Interaction (HOI) detection plays a core role in activity understanding. As a compositional learning problem (human-verb-object), studying its generalization matters.…

cs.CV2021

Localization with Sampling-Argmax

Jiefeng Li, Tong Chen, Ruiqi Shi +3

Soft-argmax operation is commonly adopted in detection-based methods to localize the target position in a differentiable manner. However, training the neural network with soft-argm…

cs.CV2021

Learning Single/Multi-Attribute of Object with Symmetry and Group

Yong-Lu Li, Yue Xu, Xinyu Xu +2

Attributes and objects can compose diverse compositions. To model the compositional nature of these concepts, it is a good choice to learn them as transformations, e.g., coupling a…