The recommendation of appropriate development pathways, also known as
ec...
Real-time and robust photorealistic avatars for telepresence in AR/VR ha...
Recent studies on transfer learning have shown that selectively fine-tun...
Current popular backbones in computer vision, such as Vision Transformer...
Vision Transformers (ViTs) have shown impressive performance but still
r...
We tackle the task of NeRF inversion for style-based neural radiance fie...
We introduce Token Merging (ToMe), a simple method to increase the throu...
Open-vocabulary semantic segmentation aims to segment an image into sema...
While transformers have begun to dominate many tasks in vision, applying...
Recent developments for Semi-Supervised Object Detection (SSOD) have sho...
The rise of deep neural networks provides an important driver in optimiz...
We tackle the problem of domain adaptation in object detection, where th...
Neural Architecture Search (NAS) has been widely adopted to design accur...
Differential Neural Architecture Search (NAS) requires all layer choices...
Modern deep neural networks are powerful and widely applicable models th...
Computer vision has achieved great success using standardized image
repr...
Neural Architecture Search (NAS) yields state-of-the-art neural networks...
Differentiable Neural Architecture Search (DNAS) has demonstrated great
...
Neural networks (NNs) have been successfully deployed in many applicatio...
Diabetes impacts the quality of life of millions of people. However, dia...
Deep neural networks (DNNs) have become a widely deployed model for nume...
This paper proposes an efficient neural network (NN) architecture design...
Designing accurate and efficient ConvNets for mobile devices is challeng...
Long short-term memory (LSTM) has been widely used for sequential data
m...
Long short-term memory (LSTM) has been widely used for sequential data
m...
With the pervasive use of smartphones that sense, collect, and process
v...
Neural networks (NNs) have begun to have a pervasive impact on various
a...