research
∙
06/30/2023
Neural 3D Scene Reconstruction from Multiple 2D Images without 3D Supervision
Neural 3D scene reconstruction methods have achieved impressive performa...
share
research
∙
05/19/2023
Fast-StrucTexT: An Efficient Hourglass Transformer with Modality-guided Dynamic Token Merge for Document Understanding
Transformers achieve promising performance in document understanding bec...
research
∙
05/11/2023
Learning-Free Grasping of Unknown Objects Using Hidden Superquadrics
Robotic grasping is an essential and fundamental task and has been studi...
research
∙
03/23/2023
Marching-Primitives: Shape Abstraction from Signed Distance Function
Representing complex objects with basic geometric primitives has long be...
research
∙
09/23/2022
Multi-Agent Exploration of an Unknown Sparse Landmark Complex via Deep Reinforcement Learning
In recent years Landmark Complexes have been successfully employed for l...
research
∙
09/22/2022
SEER: Safe Efficient Exploration for Aerial Robots using Learning to Predict Information Gain
We address the problem of efficient 3-D exploration in indoor environmen...
research
∙
08/28/2022
Differential Flatness-Based Trajectory Planning for Autonomous Vehicles
As a core part of autonomous driving systems, motion planning has receiv...
research
∙
05/25/2022
Primitive3D: 3D Object Dataset Synthesis from Randomly Assembled Primitives
Numerous advancements in deep learning can be attributed to the access t...
research
∙
03/28/2022
Primitive-based Shape Abstraction via Nonparametric Bayesian Inference
3D shape abstraction has drawn great interest over the years. Apart from...
research
∙
11/29/2021
Robust and Accurate Superquadric Recovery: a Probabilistic Approach
Interpreting objects with basic geometric primitives has long been studi...
research
∙
05/10/2021
GroupLink: An End-to-end Multitask Method for Word Grouping and Relation Extraction in Form Understanding
Forms are a common type of document in real life and carry rich informat...
research
∙
04/15/2021
A Decomposition Model for Stereo Matching
In this paper, we present a decomposition model for stereo matching to s...
research
∙
04/14/2021
A Hyperbolic-to-Hyperbolic Graph Convolutional Network
Hyperbolic graph convolutional networks (GCNs) demonstrate powerful repr...
research
∙
03/20/2021
External Forces Resilient Safe Motion Planning for Quadrotor
Adaptive autonomous navigation with no prior knowledge of extraneous dis...
research
∙
12/27/2020
SG-Net: Syntax Guided Transformer for Language Representation
Understanding human language is one of the key themes of artificial inte...
research
∙
10/17/2020
Generating Large Convex Polytopes Directly on Point Clouds
In this paper, we present a method to efficiently generate large, free, ...
research
∙
08/11/2020
Campus3D: A Photogrammetry Point Cloud Benchmark for Hierarchical Understanding of Outdoor Scene
Learning on 3D scene-based point cloud has received extensive attention ...
research
∙
06/05/2020
Content-Aware Inter-Scale Cost Aggregation for Stereo Matching
Cost aggregation is a key component of stereo matching for high-quality ...
research
∙
04/23/2020
Semi-Supervised Models via Data Augmentationfor Classifying Interactive Affective Responses
We present semi-supervised models with data augmentation (SMDA), a semi-...
research
∙
09/05/2019
Semantics-aware BERT for Language Understanding
The latest work on language representations carefully integrates context...
research
∙
08/30/2019
DCMN+: Dual Co-Matching Network for Multi-choice Reading Comprehension
Multi-choice reading comprehension is a challenging task to select an an...
research
∙
08/14/2019
SG-Net: Syntax-Guided Machine Reading Comprehension
For machine reading comprehension, how to effectively model the linguist...
research
∙
03/15/2019
Stitching Videos from a Fisheye Lens Camera and a Wide-Angle Lens Camera for Telepresence Robots
Many telepresence robots are equipped with a forward-facing camera for v...
research
∙
01/27/2019
Dual Co-Matching Network for Multi-choice Reading Comprehension
Multi-choice reading comprehension is a challenging task that requires c...
research
∙
01/13/2019
Auto-Retoucher(ART) - A framework for Background Replacement and Image Editing
Replacing the background and simultaneously adjusting foreground objects...
research
∙
09/08/2018
I Know What You Want: Semantic Learning for Text Comprehension
Who did what to whom is a major focus in natural language understanding,...
research
∙
01/12/2018
Deep Stereo Matching with Explicit Cost Aggregation Sub-Architecture
Deep neural networks have shown excellent performance for stereo matchin...
research
∙
11/17/2017
Learning a Robust Representation via a Deep Network on Symmetric Positive Definite Manifolds
Recent studies have shown that aggregating convolutional features of a p...
research
∙
03/31/2017
