Search Results
Characterizing Co-located Datacenter Workloads: An Alibaba Case Study
Warehouse-scale cloud datacenters co-locate workloads with different and often complementary characteristics for improved resource utilization.
Distributed, Parallel, and Cluster Computing
A Survey on Automated Log Analysis for Reliability Engineering
Logs are semi-structured text generated by logging statements in software source code.
Software Engineering
Multi-Kernel Prediction Networks for Denoising of Burst Images
The advantages of our method are two fold: (a) the different sized kernels help in extracting different information from the image which results in better reconstruction and (b) kernel fusion assures retaining of the extracted information while maintaining computational efficiency.
High-Resolution Virtual Try-On with Misalignment and Occlusion-Handled Conditions
Image-based virtual try-on aims to synthesize an image of a person wearing a given clothing item.
Ranked #2 on
Virtual Try-on
on VITON-HD
SE-GSL: A General and Effective Graph Structure Learning Framework through Structural Entropy Optimization
Graph Neural Networks (GNNs) are de facto solutions to structural data learning.
Region-specific Diffeomorphic Metric Mapping
We introduce a region-specific diffeomorphic metric mapping (RDMM) registration approach.
Ranked #1 on
Image Registration
on Osteoarthritis Initiative
DH3D: Deep Hierarchical 3D Descriptors for Robust Large-Scale 6DoF Relocalization
We generate the global descriptor by directly aggregating the learned local descriptors with an effective attention mechanism.
Ranked #7 on
3D Place Recognition
on Oxford RobotCar Dataset
GraphSMOTE: Imbalanced Node Classification on Graphs with Graph Neural Networks
This task is non-trivial, as previous synthetic minority over-sampling algorithms fail to provide relation information for newly synthesized samples, which is vital for learning on graphs.
A Comparison of Methods for Evaluating Generative IR
Given that Gen-IR systems do not generate responses from a fixed set, we assume that methods for Gen-IR evaluation must largely depend on LLM-generated labels.
Building a comprehensive syntactic and semantic corpus of Chinese clinical texts
Objective: To build a comprehensive corpus covering syntactic and semantic annotations of Chinese clinical texts with corresponding annotation guidelines and methods as well as to develop tools trained on the annotated corpus, which supplies baselines for research on Chinese texts in the clinical domain.
