Explore the latest peer-reviewed research with AI-generated summaries, key findings, and insights for easy understanding. All content is legally sourced from academic metadata with links to original papers.
Neural implicit representations have recently shown encouraging results in various domains, including promising progress in simultaneous localization and mapping (SLAM). Experiments on five challengin...
Knowledge distillation (KD) achieves promising results on the challenging problem of unsupervised anomaly detection (AD). The obtained compact embedding effectively preserves essential information on...
In this paper, we study Multiscale Vision Transformers (MViTv2) as a unified architecture for image and video classification, as well as object detection. Without bells-and-whistles, MViTv2 has advanc...
We present Block-NeRF, a variant of Neural Radiance Fields that can represent large-scale environments. We add appearance embeddings, learned pose refinement, and controllable exposure to each individ...
With the rapid increase in the volume of data on the aquatic environment, machine learning has become an important tool for data analysis, classification, and prediction. In this review, we describe t...
This research explores conceptual framework for understanding phase separation and..., contributing new insights to the field of Physics & Space Science.
Retinex model-based methods have shown to be effective in layer-wise manipulation with well-designed priors for low-light image enhancement. Extensive experiments on real-world low-light images qualit...
We present Point-BERT, a new paradigm for learning Transformers to generalize the concept of BERT to 3D point cloud. We also demonstrate that the representations learned by Point-BERT transfer well to...
This research explores Risk of long COVID associated with delta versus omicron vari..., contributing new insights to the field of Physics & Space Science.
Natural language offers a highly intuitive interface for image editing. We compare against several baselines and related methods, both qualitatively and quantitatively, and show that our method outper...
This research explores on-chip photonic deep neural network for image classificatio..., contributing new insights to the field of Artificial Intelligence.
The mainstream paradigm behind continual learning has been to adapt the model parameters to non-stationary data distributions, where catastrophic forgetting is the central challenge. Surprisingly, L2P...
For the last few decades, several major subfields of artificial intelligence including computer vision, graphics, and robotics have progressed largely independently from each other. Moreover, we estab...
We present the vector quantized diffusion (VQ-Diffusion) model for text-to-image generation. Our experiments indicate that the VQ-Diffusion model with the reparameterization is fifteen times faster th...
Single image super-resolution (SISR) has witnessed great strides with the development of deep learning. Compared with the original Transformer which occupies 16,057M GPU memory, ESRT only occupies 4,1...
We present Mobile-Former, a parallel design of MobileNet and transformer with a two-way bridge in between. Additionally, we build an efficient end-to-end detector by replacing backbone, encoder and de...
Implementation of personalized medicine in the clinic is a lengthy and multifaceted approach that is also dependent on the raising of the general public's awareness of genomics. The Festival of Geneti...
There is an ongoing need for novel biomarkers in clinical neuroscience, as diagnosis of neurological and psychiatric disorders is hampered by the pronounced overlap of behavioral symptoms and other pa...
Immunology and reproduction are intimately combined in human physiology; however, the mechanisms whereby the uterus accepts the fetus and allows it to flourish remain unclear, at least in the human. T...
The path to completion of the functional annotation of the haploid human genome reference build, exploration of the clan genomics hypothesis, understanding human gene and genome functional biology, an...