activity
20182022
most citedFisher-Bures Adversary Graph Convolutional Networks

11 citations · 17 across the 5 of their papers we have counts for

collaborators

8 papers

cs.CV20222 cited

Uncertainty-DTW for Time Series and Sequences

Lei Wang, Piotr Koniusz

Dynamic Time Warping (DTW) is used for matching pairs of sequences and celebrated in applications such as forecasting the evolution of time series, clustering time series or even m…

cs.CV20221 cited

Time-rEversed diffusioN tEnsor Transformer: A new TENET of Few-Shot Object Detection

Shan Zhang, Naila Murray, Lei Wang +1

In this paper, we tackle the challenging problem of Few-shot Object Detection. Existing FSOD pipelines (i) use average-pooled representations that result in information loss; and/o…

cs.CV20222 cited

Temporal-Viewpoint Transportation Plan for Skeletal Few-shot Action Recognition

Lei Wang, Piotr Koniusz

We propose a Few-shot Learning pipeline for 3D skeleton-based action recognition by Joint tEmporal and cAmera viewpoiNt alIgnmEnt (JEANIE). To factor out misalignment between query…

cs.CL20201 cited

A Token-wise CNN-based Method for Sentence Compression

Weiwei Hou, Hanna Suominen, Piotr Koniusz +2

Sentence compression is a Natural Language Processing (NLP) task aimed at shortening original sentences and preserving their key information. Its applications can benefit many fiel…

cs.CV2019

A Comparative Review of Recent Kinect-based Action Recognition Algorithms

Lei Wang, Du Q. Huynh, Piotr Koniusz

Video-based human action recognition is currently one of the most active research areas in computer vision. Various research studies indicate that the performance of action recogni…

cs.CV2019

Hallucinating IDT Descriptors and I3D Optical Flow Features for Action Recognition with CNNs

Lei Wang, Piotr Koniusz, Du Q. Huynh

In this paper, we revive the use of old-fashioned handcrafted video representations for action recognition and put new life into these techniques via a CNN-based hallucination step…