119 citations · 167 across the 18 of their papers we have counts for
13 papers · 1 filter
Temporally Consistent Unbalanced Optimal Transport for Unsupervised Action Segmentation
Ming Xu, Stephen Gould
We propose a novel approach to the action segmentation task for long, untrimmed videos, based on solving an optimal transport problem. By encoding a temporal consistency prior into…
Towards Optimal Feature-Shaping Methods for Out-of-Distribution Detection
Qinyu Zhao, Ming Xu, Kartik Gupta +3
Feature shaping refers to a family of methods that exhibit state-of-the-art performance for out-of-distribution (OOD) detection. These approaches manipulate the feature representat…
Scaling Data Generation in Vision-and-Language Navigation
Zun Wang, Jialu Li, Yicong Hong +6
Recent research in language-guided visual navigation has demonstrated a significant demand for the diversity of traversable environments and the quantity of supervision for trainin…
Exploring Predicate Visual Context in Detecting Human-Object Interactions
Frederic Z. Zhang, Yuhui Yuan, Dylan Campbell +2
Recently, the DETR framework has emerged as the dominant approach for human--object interaction (HOI) research. In particular, two-stage transformer-based HOI detectors are amongst…
Learning Navigational Visual Representations with Semantic Map Supervision
Yicong Hong, Yang Zhou, Ruiyi Zhang +4
Being able to perceive the semantics and the spatial structure of the environment is essential for visual navigation of a household robot. However, most existing works only employ…
Adaptive Cross Batch Normalization for Metric Learning
Thalaiyasingam Ajanthan, Matt Ma, Anton van den Hengel +1
Metric learning is a fundamental problem in computer vision whereby a model is trained to learn a semantically useful embedding space via ranking losses. Traditionally, the effecti…