129 citations · 717 across the 46 of their papers we have counts for
8 papers · 1 filter
Using Artificial Intelligence and IoT for Constructing a Smart Trash Bin
Khang Nhut Lam, Nguyen Hoang Huynh, Nguyen Bao Ngoc +6
The research reported in this paper transforms a normal trash bin into a smarter one by applying computer vision technology. With the support of sensors and actuator devices, the t…
Facial Expression Recognition and Image Description Generation in Vietnamese
Khang Nhut Lam, Kim-Ngoc Thi Nguyen, Loc Huu Nguy +1
This paper discusses a facial expression recognition model and a description generation model to build descriptive sentences for images and facial expressions of people in images.…
Towards Multimodal Vision-Language Models Generating Non-Generic Text
Wes Robbins, Zanyar Zohourianshahzadi, Jugal Kalita
Vision-language models can assess visual context in an image and generate descriptive text. While the generated text may be accurate and syntactically correct, it is often overly g…
ZoDIAC: Zoneout Dropout Injection Attention Calculation
Zanyar Zohourianshahzadi, Terrance E. Boult, Jugal K. Kalita
In the past few years the transformer model has been utilized for a variety of tasks such as image captioning, image classification natural language generation, and natural languag…
Neural Attention for Image Captioning: Review of Outstanding Methods
Zanyar Zohourianshahzadi, Jugal K. Kalita
Image captioning is the task of automatically generating sentences that describe an input image in the best way possible. The most successful techniques for automatically generatin…
Neural Twins Talk & Alternative Calculations
Zanyar Zohourianshahzadi, Jugal K. Kalita
Inspired by how the human brain employs a higher number of neural pathways when describing a highly focused subject, we show that deep attentive models used for the main vision-lan…
Neural Twins Talk
Zanyar Zohourianshahzadi, Jugal Kumar Kalita
Inspired by how the human brain employs more neural pathways when increasing the focus on a subject, we introduce a novel twin cascaded attention model that outperforms a state-of-…
Toward Robust Image Classification
Basemah Alshemali, Alta Graham, Jugal Kalita
Neural networks are frequently used for image classification, but can be vulnerable to misclassification caused by adversarial images. Attempts to make neural network image classif…