42 citations · 161 across the 34 of their papers we have counts for
4 papers · 1 filter
SAGE: Saliency-Guided Mixup with Optimal Rearrangements
Avery Ma, Nikita Dvornik, Ran Zhang +3
Data augmentation is a key element for training accurate models by reducing overfitting and improving generalization. For image classification, the most popular data augmentation t…
P3IV: Probabilistic Procedure Planning from Instructional Videos with Weak Supervision
He Zhao, Isma Hadji, Nikita Dvornik +3
In this paper, we study the problem of procedure planning in instructional videos. Here, an agent must produce a plausible sequence of actions that can transform the environment fr…
Uncertainty-based Cross-Modal Retrieval with Probabilistic Representations
Leila Pishdad, Ran Zhang, Konstantinos G. Derpanis +2
Probabilistic embeddings have proven useful for capturing polysemous word meanings, as well as ambiguity in image matching. In this paper, we study the advantages of probabilistic…
Semantic keypoint-based pose estimation from single RGB frames
Karl Schmeckpeper, Philip R. Osteen, Yufu Wang +6
This paper presents an approach to estimating the continuous 6-DoF pose of an object from a single RGB image. The approach combines semantic keypoints predicted by a convolutional…