Search Results for author:
Found 7 papers, 3 papers with code
Fast Organization of Objects' Spatial Positions in Manipulator Space from Single RGB-D Camera
For the grasp task in physical environment, it is important for the manipulator to know the objects’ spatial positions with as few sensors as possible in real time.
A Scan-to-Locality Map Strategy for 2D LiDAR and RGB-D Data Fusion
We call this as Scan-to-Locality (STL) map strategy.
Drawing Order Recovery from Trajectory Components
In spite of widely discussed, drawing order recovery (DOR) from static images is still a great challenge task.
Deep imitator: Handwriting calligraphy imitation via deep attention networks
Calligraphy imitation (CI) from a handful of target handwriting samples is such a challenging task that most of the existing writing style analysis or handwriting generation methods do not exhibit satisfactory performance.
Off-Policy Reinforcement Learning for Efficient and Effective GAN Architecture Search
In this paper, we introduce a new reinforcement learning (RL) based neural architecture search (NAS) methodology for effective and efficient generative adversarial network (GAN) architecture search.
Ranked #13 on
Image Generation
on STL-10
BayesNAS: A Bayesian Approach for Neural Architecture Search
One-Shot Neural Architecture Search (NAS) is a promising method to significantly reduce search time without any separate training.
Audio Visual Emotion Recognition with Temporal Alignment and Perception Attention
The other one is locating and re-weighting the perception attentions in the whole audio-visual stream for better recognition.
