Search Results for author:
Found 6 papers, 5 papers with code
Telling Left from Right: Identifying Geometry-Aware Semantic Correspondence
This paper identifies the importance of being geometry-aware for semantic correspondence and reveals a limitation of the features of current foundation models under simple post-processing.
Ranked #1 on
Semantic correspondence
on PF-PASCAL
A Tale of Two Features: Stable Diffusion Complements DINO for Zero-Shot Semantic Correspondence
Text-to-image diffusion models have made significant advances in generating and editing high-quality images.
Ranked #3 on
Semantic correspondence
on SPair-71k
From Isolated Islands to Pangea: Unifying Semantic Space for Human Action Understanding
By aligning the classes of previous datasets to our semantic space, we gather (image/video/skeleton/MoCap) datasets into a unified database in a unified label system, i. e., bridging "isolated islands" into a "Pangea".
LayoutDiffusion: Improving Graphic Layout Generation by Discrete Diffusion Probabilistic Models
To tackle the challenge, we summarize three critical factors for achieving a mild forward process for the layout, i. e., legality, coordinate proximity and type disruption.
Mining Cross-Person Cues for Body-Part Interactiveness Learning in HOI Detection
Though significant progress has been made, interactiveness learning remains a challenging problem in HOI detection: existing methods usually generate redundant negative H-O pair proposals and fail to effectively extract interactive pairs.
Ranked #9 on
Human-Object Interaction Detection
on V-COCO
VisDrone-DET2019: The Vision Meets Drone Object Detection in Image Challenge Results
Results of 33 object detection algorithms are presented.
