40 citations · 174 across the 22 of their papers we have counts for
5 papers · 1 filter
Transcribing Natural Languages for The Deaf via Neural Editing Programs
Dongxu Li, Chenchen Xu, Liu Liu +4
This work studies the task of glossification, of which the aim is to em transcribe natural spoken language sentences for the Deaf (hard-of-hearing) community to ordered sign langua…
OMAD: Object Model with Articulated Deformations for Pose Estimation and Retrieval
Han Xue, Liu Liu, Wenqiang Xu +2
Articulated objects are pervasive in daily life. However, due to the intrinsic high-DoF structure, the joint states of the articulated objects are hard to be estimated. To model ar…
OPA: Object Placement Assessment Dataset
Liu Liu, Zhenchen Liu, Bo Zhang +4
Image composition aims to generate realistic composite image by inserting an object from one image into another background image, where the placement (e.g., location, size, occlusi…
Making Images Real Again: A Comprehensive Survey on Deep Image Composition
Li Niu, Wenyan Cong, Liu Liu +4
As a common image editing operation, image composition/compositing, which is also called object/subject insertion/addition/compositing, aims to combine the foreground from one imag…
Towards Real-World Category-level Articulation Pose Estimation
Liu Liu, Han Xue, Wenqiang Xu +2
Human life is populated with articulated objects. Current Category-level Articulation Pose Estimation (CAPE) methods are studied under the single-instance setting with a fixed kine…