LangTail uses entity-level semantic priors from language models aligned via contrastive learning in a hierarchical clustering setup to resolve long-tail ambiguity, yielding +13.5, +12.9, and +8.9 mIoU gains on ScanNet-v2, S3DIS, and nuScenes.
Costformer: Cost transformer for cost aggregation in multi-view stereo,
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
fields
cs.CV 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
SimVA constructs a 4D similarity volume over video tokens and action classes then applies spatial, motion-aware, and Mamba-based temporal aggregation to achieve competitive zero-shot and few-shot performance on open-vocabulary action recognition benchmarks.
citing papers explorer
-
Resolving Long-Tail Ambiguity in Unsupervised 3D Point Cloud Segmentation with Language Priors
LangTail uses entity-level semantic priors from language models aligned via contrastive learning in a hierarchical clustering setup to resolve long-tail ambiguity, yielding +13.5, +12.9, and +8.9 mIoU gains on ScanNet-v2, S3DIS, and nuScenes.
-
Spatio-Temporal Similarity Volume Aggregation for Open-Vocabulary Action Recognition
SimVA constructs a 4D similarity volume over video tokens and action classes then applies spatial, motion-aware, and Mamba-based temporal aggregation to achieve competitive zero-shot and few-shot performance on open-vocabulary action recognition benchmarks.