Results 41 to 50 of about 24,156 (258)
Time-Interval-Guided Event Representation for Scene Understanding
The recovery of scenes under extreme lighting conditions is pivotal for effective image analysis and feature detection. Traditional cameras face challenges with low dynamic range and limited spectral response in such scenarios. In this paper, we advocate
Boxuan Wang +5 more
doaj +1 more source
Asynchronous event feature generation and tracking based on gradient descriptor for event cameras
Recently, the event camera has become a popular and promising vision sensor in the research of simultaneous localization and mapping and computer vision owing to its advantages: low latency, high dynamic range, and high temporal resolution.
Ruoxiang Li +4 more
doaj +1 more source
MITF maintains genome stability in nonmelanocyte lineages
MITF is essential for melanocyte survival and acts as an oncogene in 10%–20% of melanomas. We show that MITF depletion causes genome instability in nonmelanocytic cells, leading to LATS2‐mediated P53 activation, cell cycle arrest, and apoptosis. This study highlights the role of MITF as a genome maintenance factor beyond the melanocyte lineage. Created
Drifa H. Gudmundsdottir +13 more
wiley +1 more source
Inter-event interval microscopy for event cameras
Event cameras detect intensity changes rather than absolute intensity, recording variations as a stream of “event.” Intensity reconstruction from these sparse events remains a significant challenge. Previous approaches focused on transforming motion-induced events into videos or achieving intensity imaging for static scenes through
Changqing Su +7 more
openaire +2 more sources
Event Camera Data Pre-training
This paper proposes a pre-trained neural network for handling event camera data. Our model is a self-supervised learning framework, and uses paired event camera data and natural RGB images for training. Our method contains three modules connected in a sequence: i) a family of event data augmentations, generating meaningful event images for self ...
Yan Yang 0011, Liyuan Pan, Liu Liu 0009
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Recent advances in event-based cameras have led to significant developments in robotics, particularly in visual simultaneous localization and mapping (VSLAM) applications.
Mohsen Shahraki +2 more
doaj +1 more source
The necessity of having optimum camera activation is rapidly increasing in distributed environment as well as wireless sensor networks. In the current research, we have studied the event boundary detection approach for redundant data minimization by ...
Sushree Bibhuprada B. Priyadarshini +1 more
doaj +1 more source
BCL9 and BCL9L drive bladder cancer progression by enhancing β‐catenin signaling, promoting proliferation, migration, invasion, and organoid growth. Genetic depletion of BCL9(L) suppresses malignant phenotypes, while pharmacological disruption of the β‐catenin/BCL9(L) complex with ZW4864 inhibits canonical Wnt signaling and tumor‐associated cellular ...
Roland Kotolloshi +11 more
wiley +1 more source
Motion-Aware Optical Camera Communication With Event Cameras
As the ubiquity of smart mobile devices continues to rise, Optical Camera Communication systems have gained more attention as a solution for efficient and private data streaming. This system utilizes optical cameras to receive data from digital screens via visible light. Despite their promise, most of them are hindered by dynamic factors such as screen
Hang Su +3 more
openaire +2 more sources
CEACAM1 participation in breast cancer progression
In invasive breast cancer (BC), CEACAM1 shifts from an apical to a uniform membranous/cytoplasmic pattern, or is lost, as tumors dedifferentiate, inversely tracking the Ki‐67 proliferative index. In MCF‐7 cells, only CEACAM1‐4L suppresses proliferation, repressing cell cycle and growth factor genes.
Mykola Lyndin +3 more
wiley +1 more source

