research
∙
09/16/2023
CARLA-Loc: Synthetic SLAM Dataset with Full-stack Sensor Setup in Challenging Weather and Dynamic Environments
The robustness of SLAM algorithms in challenging environmental condition...
share
research
∙
08/10/2023
Temporally-Adaptive Models for Efficient Video Understanding
Spatial convolutions are extensively used in numerous deep video models....
research
∙
11/11/2022
GET-DIPP: Graph-Embedded Transformer for Differentiable Integrated Prediction and Planning
Accurately predicting interactive road agents' future trajectories and p...
research
∙
10/07/2022
Multi-Frequency-Aware Patch Adversarial Learning for Neural Point Cloud Rendering
We present a neural point cloud rendering pipeline through a novel multi...
research
∙
06/25/2022
BIMS-PU: Bi-Directional and Multi-Scale Point Cloud Upsampling
The learning and aggregation of multi-scale features are essential in em...
research
∙
05/12/2022
Economical Precise Manipulation and Auto Eye-Hand Coordination with Binocular Visual Reinforcement Learning
Precision robotic manipulation tasks (insertion, screwing, precisely pic...
research
∙
11/16/2021
A Benchmark for Modeling Violation-of-Expectation in Physical Reasoning Across Event Categories
Recent work in computer vision and cognitive reasoning has given rise to...
research
∙
10/12/2021
TAda! Temporally-Adaptive Convolutions for Video Understanding
Spatial convolutions are widely used in numerous deep video models. It f...
research
∙
10/12/2021
AVoE: A Synthetic 3D Dataset on Understanding Violation of Expectation for Artificial Cognition
Recent work in cognitive reasoning and computer vision has engendered an...
research
∙
08/24/2021
ParamCrop: Parametric Cubic Cropping for Video Contrastive Learning
The central idea of contrastive learning is to discriminate between diff...
research
∙
08/23/2021
Voxel-based Network for Shape Completion by Leveraging Edge Generation
Deep learning technique has yielded significant improvements in point cl...
research
∙
06/13/2021
A Stronger Baseline for Ego-Centric Action Detection
This technical report analyzes an egocentric video action detection meth...
research
∙
06/09/2021
Towards Training Stronger Video Vision Transformers for EPIC-KITCHENS-100 Action Recognition
With the recent surge in the research of vision transformers, they have ...
research
∙
06/03/2021
Multi-Scale Feature Aggregation by Cross-Scale Pixel-to-Region Relation Operation for Semantic Segmentation
Exploiting multi-scale features has shown great potential in tackling se...
research
∙
10/17/2020
A Self-supervised Cascaded Refinement Network for Point Cloud Completion
Point clouds are often sparse and incomplete, which imposes difficulties...
research
∙
08/02/2020
Point Cloud Completion by Learning Shape Priors
In view of the difficulty in reconstructing object details in point clou...
research
∙
07/16/2020
Shape Prior Deformation for Categorical 6D Object Pose and Size Estimation
We present a novel learning approach to recover the 6D poses and sizes o...
research
∙
04/12/2020
Toward Hierarchical Self-Supervised Monocular Absolute Depth Estimation for Autonomous Driving Applications
In recent years, self-supervised methods for monocular depth estimation ...
research
∙
04/07/2020
Cascaded Refinement Network for Point Cloud Completion
Point clouds are often sparse and incomplete. Existing shape completion ...
research
∙
02/29/2020
Robust 6D Object Pose Estimation by Learning RGB-D Features
Accurate 6D object pose estimation is fundamental to robotic manipulatio...
research
∙
12/02/2019
