27 citations · 133 across the 25 of their papers we have counts for
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cs.CV2023
Unsupervised Synthetic Image Refinement via Contrastive Learning and Consistent Semantic-Structural Constraints
Ganning Zhao, Tingwei Shen, Suya You +1
Ensuring the realism of computer-generated synthetic images is crucial to deep neural network (DNN) training. Due to different semantic distributions between synthetic and real-wor…
cs.CV2023
Frequency-domain Learning for Volumetric-based 3D Data Perception
Zifan Yu, Suya You, Fengbo Ren
Frequency-domain learning draws attention due to its superior tradeoff between inference accuracy and input data size. Frequency-domain learning in 2D computer vision tasks has sho…
cs.CV2023
DDS: Decoupled Dynamic Scene-Graph Generation Network
A S M Iftekhar, Raphael Ruschel, Satish Kumar +2
Scene-graph generation involves creating a structural representation of the relationships between objects in a scene by predicting subject-object-relation triplets from input data.…