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Found 10 papers, 2 papers with code
Hashing for Protein Structure Similarity Search
Traditional alignment-based PSSS methods, which directly calculate alignment on the protein structures, are highly time-consuming with high memory cost.
Hashing based Contrastive Learning for Virtual Screening
In particular, DrugHash designs a simple yet effective hashing strategy to enable end-to-end learning of binary hash codes for both protein and molecule modalities, which can dramatically reduce the memory and time costs with higher accuracy compared with existing methods.
QuakeBERT: Accurate Classification of Social Media Texts for Rapid Earthquake Impact Assessment
First, a few categories are introduced to classify and filter microblogs considering their relationship to the physical and social impacts of earthquakes, and a dataset comprising 7282 earthquake-related microblogs from twenty earthquakes in different locations is developed as well.
EventPS: Real-Time Photometric Stereo Using an Event Camera
Photometric stereo is a well-established technique to estimate the surface normal of an object.
High-Fidelity Event-Radiance Recovery via Transient Event Frequency
High-fidelity radiance recovery plays a crucial role in scene information reconstruction and understanding.
Learning Event Guided High Dynamic Range Video Reconstruction
Limited by the trade-off between frame rate and exposure time when capturing moving scenes with conventional cameras, frame based HDR video reconstruction suffers from scene-dependent exposure ratio balancing and ghosting artifacts.
EvIntSR-Net: Event Guided Multiple Latent Frames Reconstruction and Super-Resolution
To reconstruct high-resolution intensity images from event data, we propose EvIntSR-Net that converts event data to multiple latent intensity frames to achieve super-resolution on intensity images in this paper.
UnModNet: Learning to Unwrap a Modulo Image for High Dynamic Range Imaging
A conventional camera often suffers from over- or under-exposure when recording a real-world scene with a very high dynamic range (HDR).
Learning Differential Diagnosis of Skin Conditions with Co-occurrence Supervision using Graph Convolutional Networks
Skin conditions are reported the 4th leading cause of nonfatal disease burden worldwide.
Neuromorphic Camera Guided High Dynamic Range Imaging
Reconstruction of high dynamic range image from a single low dynamic range image captured by a frame-based conventional camera, which suffers from over- or under-exposure, is an ill-posed problem.
