33 citations · 188 across the 22 of their papers we have counts for
7 papers · 1 filter
Global-Local Attention for Emotion Recognition
Nhat Le, Khanh Nguyen, Anh Nguyen +1
Human emotion recognition is an active research area in artificial intelligence and has made substantial progress over the past few years. Many recent works mainly focus on facial…
Multiple Meta-model Quantifying for Medical Visual Question Answering
Tuong Do, Binh X. Nguyen, Erman Tjiputra +3
Transfer learning is an important step to extract meaningful features and overcome the data limitation in the medical Visual Question Answering (VQA) task. However, most of the exi…
Inverting Adversarially Robust Networks for Image Synthesis
Renan A. Rojas-Gomez, Raymond A. Yeh, Minh N. Do +1
Despite unconditional feature inversion being the foundation of many image synthesis applications, training an inverter demands a high computational budget, large decoding capacity…
Graph-based Person Signature for Person Re-Identifications
Binh X. Nguyen, Binh D. Nguyen, Tuong Do +3
The task of person re-identification (ReID) is to match images of the same person over multiple non-overlapping camera views. Due to the variations in visual factors, previous work…
V2CNet: A Deep Learning Framework to Translate Videos to Commands for Robotic Manipulation
Anh Nguyen, Thanh-Toan Do, Ian Reid +2
We propose V2CNet, a new deep learning framework to automatically translate the demonstration videos to commands that can be directly used in robotic applications. Our V2CNet has t…
Scene Understanding for Autonomous Manipulation with Deep Learning
Anh Nguyen
Over the past few years, deep learning techniques have achieved tremendous success in many visual understanding tasks such as object detection, image segmentation, and caption gene…
Real-Time 6DOF Pose Relocalization for Event Cameras with Stacked Spatial LSTM Networks
Anh Nguyen, Thanh-Toan Do, Darwin G. Caldwell +1
We present a new method to relocalize the 6DOF pose of an event camera solely based on the event stream. Our method first creates the event image from a list of events that occurs…