activity
20172026
most citedSelf-supervised Co-training for Video Representation Learning

273 citations · 1.4k across the 86 of their papers we have counts for

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Showing 2019Show all

6 papers · 1 filter

cs.SD2019★ 48 cited

VoxSRC 2019: The first VoxCeleb Speaker Recognition Challenge

Joon Son Chung, Arsha Nagrani, Ernesto Coto +4

The VoxCeleb Speaker Recognition Challenge 2019 aimed to assess how well current speaker recognition technology is able to identify speakers in unconstrained or `in the wild' data.…

cs.CV2019★ 48 cited

Video Representation Learning by Dense Predictive Coding

Tengda Han, Weidi Xie, Andrew Zisserman

The objective of this paper is self-supervised learning of spatio-temporal embeddings from video, suitable for human action recognition. We make three contributions: First, we intr…

cs.CV2019★ 5 cited

Geometry-Aware Video Object Detection for Static Cameras

Dan Xu, Weidi Xie, Andrew Zisserman

In this paper we propose a geometry-aware model for video object detection. Specifically, we consider the setting that cameras can be well approximated as static, e.g. in video sur…

cs.CV2019★ 8 cited

AutoCorrect: Deep Inductive Alignment of Noisy Geometric Annotations

Honglie Chen, Weidi Xie, Andrea Vedaldi +1

We propose AutoCorrect, a method to automatically learn object-annotation alignments from a dataset with annotations affected by geometric noise. The method is based on a consisten…

cs.CV2019★ 56 cited

Self-supervised Learning for Video Correspondence Flow

Zihang Lai, Weidi Xie

The objective of this paper is self-supervised learning of feature embeddings that are suitable for matching correspondences along the videos, which we term correspondence flow. By…

eess.AS2019★ 17 cited

Utterance-level Aggregation For Speaker Recognition In The Wild

Weidi Xie, Arsha Nagrani, Joon Son Chung +1

The objective of this paper is speaker recognition "in the wild"-where utterances may be of variable length and also contain irrelevant signals. Crucial elements in the design of d…