Richard Wildes

Richard Wildes

York University

H-index: 40

North America-Canada

About Richard Wildes

Richard Wildes, With an exceptional h-index of 40 and a recent h-index of 23 (since 2020), a distinguished researcher at York University, specializes in the field of computer vision.

His recent articles reflect a diverse array of research interests and contributions to the field:

Visual Concept Connectome (VCC): Open World Concept Discovery and their Interlayer Connections in Deep Models

Selective, Interpretable, and Motion Consistent Privacy Attribute Obfuscation for Action Recognition

Object motion representation in the macaque ventral stream--a gateway to understanding the brain's intuitive physics engine

Understanding Video Transformers for Segmentation: A Survey of Application and Interpretability

Multiscale Memory Comparator Transformer for Few-Shot Video Segmentation

Probabilistic procedure planning for instructional videos

Stepformer: Self-supervised step discovery and localization in instructional videos

MED-VT: Multiscale encoder-decoder video transformer with application to object segmentation

Richard Wildes Information

University

Position

Professor of Electrical Engineering and Computer Science

Citations(all)

11597

Citations(since 2020)

2868

Cited By

10067

hIndex(all)

40

hIndex(since 2020)

23

i10Index(all)

62

i10Index(since 2020)

36

Email

University Profile Page

Google Scholar

Richard Wildes Skills & Research Interests

computer vision

Top articles of Richard Wildes

Visual Concept Connectome (VCC): Open World Concept Discovery and their Interlayer Connections in Deep Models

2024/4/2

Selective, Interpretable, and Motion Consistent Privacy Attribute Obfuscation for Action Recognition

arXiv preprint arXiv:2403.12710

2024/3/19

Object motion representation in the macaque ventral stream--a gateway to understanding the brain's intuitive physics engine

bioRxiv

2024

Filip Ilic
Filip Ilic

H-Index: 0

Richard Wildes
Richard Wildes

H-Index: 27

Understanding Video Transformers for Segmentation: A Survey of Application and Interpretability

arXiv preprint arXiv:2310.12296

2023/10/18

Multiscale Memory Comparator Transformer for Few-Shot Video Segmentation

arXiv preprint arXiv:2307.07812

2023/7/15

Probabilistic procedure planning for instructional videos

2023/5/18

Stepformer: Self-supervised step discovery and localization in instructional videos

2023

MED-VT: Multiscale encoder-decoder video transformer with application to object segmentation

2023

Representation and integration of allocentric and egocentric visual information for goal-directed movements: A convolutional/multilayer perceptron network approach

Journal of Vision

2022/12/5

Quantifying and Learning Static vs. Dynamic Information in Deep Spatiotemporal Networks

arXiv preprint arXiv:2211.01783

2022/11/3

MMC Transformer: Multiscale Multigrid Comparator Transformer for Few-Shot Video Segmentation

2022/10/31

Mennatullah Siam
Mennatullah Siam

H-Index: 11

Richard Wildes
Richard Wildes

H-Index: 27

Is appearance free action recognition possible?

2022/10/23

Sports video analysis on large-scale data

2022/10/22

Temporal transductive inference for few-shot video object segmentation

arXiv preprint arXiv:2203.14308

2022/3/27

A deeper dive into what deep spatiotemporal networks encode: Quantifying static vs. dynamic information

2022

P3iv: Probabilistic procedure planning from instructional videos with weak supervision

2022

Interpretable deep feature propagation for early action recognition

arXiv preprint arXiv:2107.05122

2021/7/11

Review of video predictive understanding: Early action recognition and future action prediction

arXiv preprint arXiv:2107.05140

2021/7/11

Detecting Biological Locomotion in Video: A Computational Approach

arXiv preprint arXiv:2105.12661

2021/5/26

Where are you heading? dynamic trajectory prediction with expert goal examples

2021

See List of Professors in Richard Wildes University(York University)

Co-Authors

academic-engine