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Found 4 papers, 2 papers with code
RMAFF-PSN: A Residual Multi-Scale Attention Feature Fusion Photometric Stereo Network
Predicting accurate normal maps of objects from two-dimensional images in regions of complex structure and spatial material variations is challenging using photometric stereo methods due to the influence of surface reflection properties caused by variations in object geometry and surface materials.
Within-basket Recommendation via Neural Pattern Associator
Within-basket recommendation (WBR) refers to the task of recommending items to the end of completing a non-empty shopping basket during a shopping session.
UCMCTrack: Multi-Object Tracking with Uniform Camera Motion Compensation
In response to this, we introduce UCMCTrack, a novel motion model-based tracker robust to camera movements.
Ranked #1 on
Multiple Object Tracking
on KITTI Tracking test
Attentive Autoencoders for Multifaceted Preference Learning in One-class Collaborative Filtering
In order to capture multifaceted user preferences, existing recommender systems either increase the encoding complexity or extend the latent representation dimension.
