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Found 7 papers, 3 papers with code
OMAD: Object Model with Articulated Deformations for Pose Estimation and Retrieval
With the full representation of the object shape and joint states, we can address several tasks including category-level object pose estimation and the articulated object retrieval.
Region-aware Adaptive Instance Normalization for Image Harmonization
To ensure the visual style consistency between the foreground and the background, in this paper, we treat image harmonization as a style transfer problem.
Towards Real-World Category-level Articulation Pose Estimation
This setting allows varied kinematic structures within a semantic category, and multiple instances to co-exist in an observation of real world.
Toward Fine-grained Facial Expression Manipulation
Previous methods edit an input image under the guidance of a discrete emotion label or absolute condition (e. g., facial action units) to possess the desired expression.
Dense RepPoints: Representing Visual Objects with Dense Point Sets
We present a new object representation, called Dense RepPoints, that utilizes a large set of points to describe an object at multiple levels, including both box level and pixel level.
LiDAR-Video Driving Dataset: Learning Driving Policies Effectively
Learning autonomous-driving policies is one of the most challenging but promising tasks for computer vision.
