Results 91 to 100 of about 1,229,322 (315)
Deep Classification Consistency for Person Re-Identification
Person re-identification (Re-ID) has greatly benefited from utilizing features of different levels. Most methods draw support from elegant network designs and elaborate fusion modules.
Yuhao Bian+4 more
doaj +1 more source
Single‐cell insights into the role of T cells in B‐cell malignancies
Single‐cell technologies have transformed our understanding of T cell–tumor cell interactions in B‐cell malignancies, revealing new T‐cell subsets, functional states, and immune evasion mechanisms. This Review synthesizes these findings, highlighting the roles of T cells in pathogenesis, progression, and therapy response, and underscoring their ...
Laura Llaó‐Cid
wiley +1 more source
In the adult T‐cell leukemia/lymphoma (ATL) cell line ED, the human T‐cell leukemia virus type 1 (HTLV‐1) provirus was integrated into the intron of the ift81 gene in the antisense orientation. Despite this integration, both the intact ift81 and the viral oncogene hbz were simultaneously expressed, likely due to the functional insufficiency of viral ...
Mayuko Yagi+5 more
wiley +1 more source
Semantically enhanced attention map‐driven occluded person re‐identification
Occluded person re‐identification (Re‐ID) is to identify a particular person when the person's body parts are occluded. However, challenges remain in enhancing effective information representation and suppressing background clutter when considering ...
Yiyuan Ge+4 more
doaj +1 more source
TRAF2 binds to TIFA via a novel motif and contributes to its autophagic degradation
TRAF family members couple receptor signalling complexes to downstream outputs, but how they interact with these complexes is not always clear. Here, we show that during ADP‐heptose signalling, TRAF2 binding to TIFA requires two short sequence motifs in the C‐terminal tail of TIFA, which are distinct from the TRAF6 binding motif.
Tom Snelling+4 more
wiley +1 more source
Joint Person Re-identification and Camera Network Topology Inference in Multiple Cameras
Person re-identification is the task of recognizing or identifying a person across multiple views in multi-camera networks. Although there has been much progress in person re-identification, person re-identification in large-scale multi-camera networks ...
Cho, Yeong-Jun+4 more
core
Temporal Model Adaptation for Person Re-identification [PDF]
Person re-identification is an open and challenging problem in computer vision. Majority of the efforts have been spent either to design the best feature representation or to learn the optimal matching metric. Most approaches have neglected the problem of adapting the selected features or the learned model over time.
Amit K. Roy-Chowdhury+4 more
openaire +4 more sources
Exposure to common noxious agents (1), including allergens, pollutants, and micro‐nanoplastics, can cause epithelial barrier damage (2) in our body's protective linings. This may trigger an immune response to our microbiome (3). The epithelial barrier theory explains how this process can lead to chronic noncommunicable diseases (4) affecting organs ...
Can Zeyneloglu+17 more
wiley +1 more source
Three‐dimensional (3D) biological systems have become key tools in lymphoma research, offering reliable in vitro and ex vivo platforms to explore pathogenesis and support precision medicine. This review highlights current 3D non‐Hodgkin lymphoma models, detailing their features, advantages, and limitations, and provides a broad perspective on future ...
Carla Faria+3 more
wiley +1 more source
Distance-based Camera Network Topology Inference for Person Re-identification
In this paper, we propose a novel distance-based camera network topology inference method for efficient person re-identification. To this end, we first calibrate each camera and estimate relative scales between cameras.
Cho, Yeong-Jun, Yoon, Kuk-Jin
core