Qizhu Li
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View article: Realizing Plain Optimization of the Thermoelectric Properties in BiCuSeO Oxide via Self-Substitution-Induced Lattice Dislocations
Realizing Plain Optimization of the Thermoelectric Properties in BiCuSeO Oxide via Self-Substitution-Induced Lattice Dislocations Open
Seeking new strategies to tune the intrinsic defect and optimize the thermoelectric performance via no or less use of external doped elements (i.e., plain optimization) is an important method to realize the sustainable development of therm…
View article: MUSTER: A Multi-scale Transformer-based Decoder for Semantic Segmentation
MUSTER: A Multi-scale Transformer-based Decoder for Semantic Segmentation Open
In recent works on semantic segmentation, there has been a significant focus on designing and integrating transformer-based encoders. However, less attention has been given to transformer-based decoders. We emphasize that the decoder stage…
View article: The influence of <i>HLA‐DRB1*15</i> on the relationship between microglia and neurons in multiple sclerosis normal appearing cortical grey matter
The influence of <i>HLA‐DRB1*15</i> on the relationship between microglia and neurons in multiple sclerosis normal appearing cortical grey matter Open
Cortical tissue injury is common in multiple sclerosis (MS) and associates with disability progression. We have previously shown that HLA‐DRB1*15 genotype status associates with the extent of cortical inflammatory pathology. In the current…
View article: Unifying Training and Inference for Panoptic Segmentation
Unifying Training and Inference for Panoptic Segmentation Open
We present an end-to-end network to bridge the gap between training and inference pipeline for panoptic segmentation, a task that seeks to partition an image into semantic regions for "stuff" and object instances for "things". In contrast …
View article: Metric Attack and Defense for Person Re-identification
Metric Attack and Defense for Person Re-identification Open
Person re-identification (re-ID) has attracted much attention recently due to its great importance in video surveillance. In general, distance metrics used to identify two person images are expected to be robust under various appearance ch…
View article: Adversarial Metric Attack and Defense for Person Re-identification
Adversarial Metric Attack and Defense for Person Re-identification Open
Person re-identification (re-ID) has attracted much attention recently due to its great importance in video surveillance. In general, distance metrics used to identify two person images are expected to be robust under various appearance ch…
View article: Adversarial Metric Attack for Person Re-identification.
Adversarial Metric Attack for Person Re-identification. Open
Person re-identification (re-ID) has attracted much attention recently due to its great importance in video surveillance. In general, distance metrics used to identify two person images are expected to be robust under various appearance ch…
View article: InAs/GaAs Quantum Dot Dual-Mode Distributed Feedback Laser Towards Large Tuning Range Continuous-Wave Terahertz Application
InAs/GaAs Quantum Dot Dual-Mode Distributed Feedback Laser Towards Large Tuning Range Continuous-Wave Terahertz Application Open
View article: Weakly- and Semi-Supervised Panoptic Segmentation
Weakly- and Semi-Supervised Panoptic Segmentation Open
We present a weakly supervised model that jointly performs both semantic- and instance-segmentation -- a particularly relevant problem given the substantial cost of obtaining pixel-perfect annotation for these tasks. In contrast to many po…
View article: Holistic, Instance-Level Human Parsing
Holistic, Instance-Level Human Parsing Open
Object parsing -- the task of decomposing an object into its semantic parts -- has traditionally been formulated as a category-level segmentation problem. Consequently, when there are multiple objects in an image, current methods cannot co…
View article: Holistic, Instance-level Human Parsing
Holistic, Instance-level Human Parsing Open
Object parsing -- the task of decomposing an object into its semantic parts -- has traditionally been formulated as a category-level segmentation problem. Consequently, when there are multiple objects in an image, current methods cannot co…