2 citations · 2 across the 4 of their papers we have counts for
4 papers
SHOE: Semantic HOI Open-Vocabulary Evaluation Metric
Maja Noack, Qinqian Lei, Taipeng Tian +6
Open-vocabulary human-object interaction (HOI) detection is a step towards building scalable systems that generalize to unseen interactions in real-world scenarios and support grou…
Multi-entity Video Transformers for Fine-Grained Video Representation Learning
Matthew Walmer, Rose Kanjirathinkal, Kai Sheng Tai +3
The area of temporally fine-grained video representation learning focuses on generating frame-by-frame representations for temporally dense tasks, such as fine-grained action phase…
: Backward-compatible Training with Basis Transformation
Yifei Zhou, Zilu Li, Abhinav Shrivastava +4
Modern retrieval system often requires recomputing the representation of every piece of data in the gallery when updating to a better representation model. This process is known as…
Spartan: Differentiable Sparsity via Regularized Transportation
Kai Sheng Tai, Taipeng Tian, Ser-Nam Lim
We present Spartan, a method for training sparse neural network models with a predetermined level of sparsity. Spartan is based on a combination of two techniques: (1) soft top-k m…