Visual affordance and function understanding: A survey
Nowadays, robots are dominating the manufacturing, entertainment, and healthcare
industries. Robot vision aims to equip robots with the capabilities to discover information …
industries. Robot vision aims to equip robots with the capabilities to discover information …
Affordances from human videos as a versatile representation for robotics
Building a robot that can understand and learn to interact by watching humans has inspired
several vision problems. However, despite some successful results on static datasets, it …
several vision problems. However, despite some successful results on static datasets, it …
Affordpose: A large-scale dataset of hand-object interactions with affordance-driven hand pose
How human interact with objects depends on the functional roles of the target objects, which
introduces the problem of affordance-aware hand-object interaction. It requires a large …
introduces the problem of affordance-aware hand-object interaction. It requires a large …
Joint hand motion and interaction hotspots prediction from egocentric videos
We propose to forecast future hand-object interactions given an egocentric video. Instead of
predicting action labels or pixels, we directly predict the hand motion trajectory and the …
predicting action labels or pixels, we directly predict the hand motion trajectory and the …
Affordancenet: An end-to-end deep learning approach for object affordance detection
We propose AffordanceNet, a new deep learning approach to simultaneously detect multiple
objects and their affordances from RGB images. Our AffordanceNet has two branches: an …
objects and their affordances from RGB images. Our AffordanceNet has two branches: an …
A survey of visual affordance recognition based on deep learning
D Chen, D Kong, J Li, S Wang… - IEEE Transactions on Big …, 2023 - ieeexplore.ieee.org
Visual affordance recognition is an important research topic in robotics, human-computer
interaction, and other computer vision tasks. In recent years, deep learning-based …
interaction, and other computer vision tasks. In recent years, deep learning-based …
Locate: Localize and transfer object parts for weakly supervised affordance grounding
Humans excel at acquiring knowledge through observation. For example, we can learn to
use new tools by watching demonstrations. This skill is fundamental for intelligent systems to …
use new tools by watching demonstrations. This skill is fundamental for intelligent systems to …
3d affordancenet: A benchmark for visual object affordance understanding
The ability to understand the ways to interact with objects from visual cues, aka visual
affordance, is essential to vision-guided robotic research. This involves categorizing …
affordance, is essential to vision-guided robotic research. This involves categorizing …
Grounded human-object interaction hotspots from video
T Nagarajan, C Feichtenhofer… - Proceedings of the …, 2019 - openaccess.thecvf.com
Learning how to interact with objects is an important step towards embodied visual
intelligence, but existing techniques suffer from heavy supervision or sensing requirements …
intelligence, but existing techniques suffer from heavy supervision or sensing requirements …
Learning affordance grounding from exocentric images
Affordance grounding, a task to ground (ie, localize) action possibility region in objects,
which faces the challenge of establishing an explicit link with object parts due to the diversity …
which faces the challenge of establishing an explicit link with object parts due to the diversity …