This page contains links to all workshops that I have been involved in some part of proposing and/or organizing components of (see details for level of involvement) in reverse chronological order.
Workshop Title: Embodied AI Workshop 3
Venue: Conference on Computer Vision and Pattern Recognition 2022
Role: Challenge Organizer (Robotic Vision Scene Understanding Challenge)
Workshop Size: Full Day
Workshop Website: https://embodied-ai.org/
Workshop Summary:
Within the last decade, advances in deep learning, coupled with the creation of large, freely available datasets (e.g., ImageNet), have resulted in remarkable progress in the computer vision, NLP, and broader AI communities. This progress has enabled models to begin to obtain superhuman performance on a wide variety of passive tasks. However, this progress has also enabled a paradigm shift that a growing collection of researchers take aim at: the creation of an embodied agent (e.g., a robot) which learns, through interaction and exploration, to creatively solve challenging tasks within its environment.
The goal of this workshop is to bring together researchers from the fields of computer vision, language, graphics, and robotics to share and discuss the current state of intelligent agents that can:
See: perceive their environment through vision or other senses.
Talk: hold a natural language dialog grounded in their environment.
Listen: understand and react to audio input anywhere in a scene.
Act: navigate and interact with their environment to accomplish goals.
Reason: consider and plan for the long-term consequences of their actions.
The Embodied AI 2022 workshop will be held in conjunction with CVPR 2022. It will feature a host of invited talks covering a variety of topics in Embodied AI, many exciting challenges, a poster session, and panel discussions.
Contributed Workshop Presentation and Panel Session
Workshop Title: Embodied AI Workshop
Venue: Conference on Computer Vision and Pattern Recognition 2021 (Online)
Role: Challenge Organizer (Robotic Vision Scene Understanding Challenge)
Workshop Size: Full Day
Workshop Website: https://embodied-ai.org/
Workshop Summary:
Within the last decade, advances in deep learning, coupled with the creation of large, freely available datasets (e.g., ImageNet), have resulted in remarkable progress in the computer vision, NLP, and broader AI communities. This progress has enabled models to begin to obtain superhuman performance on a wide variety of passive tasks. However, this progress has also enabled a paradigm shift that a growing collection of researchers take aim at: the creation of an embodied agent (e.g., a robot) which learns, through interaction and exploration, to creatively solve challenging tasks within its environment.
The goal of this workshop is to bring together researchers from the fields of computer vision, language, graphics, and robotics to share and discuss the current state of intelligent agents that can:
See: perceive their environment through vision or other senses.
Talk: hold a natural language dialog grounded in their environment.
Listen: understand and react to audio input anywhere in a scene.
Act: navigate and interact with their environment to accomplish goals.
Reason: consider and plan for the long-term consequences of their actions.
The Embodied AI 2021 workshop will be held virtually in conjunction with CVPR 2021. It will feature a host of invited talks covering a variety of topics in Embodied AI, many exciting challenges, a poster session, and panel discussions.
Contributed Workshop Presentation and Panel Session
Workshop Title: Beyond mAP: Reassessing the Evaluation of Object Detectors
Venue: European Conference on Computer Vision 2020 (Online)
Role: Main Organizer
Workshop Size: Small (half-day)
Workshop Website: BMREOD_ECCV2020
Workshop Summary:
This workshop assesses current evaluation procedures for object detection, highlights their shortcomings and opens discussion for possible improvements.
Through a focus on evaluation using challenges, the object detection community has been able to quickly identify which methods are effective by examining performance metrics. However, as this technological boom progresses, it is important to assess whether our evaluation metrics and procedures adequately align with how object detection will be used in practical applications. Quantitative results should be easily reconciled with a detector’s performance in applied tasks. This workshop provides a forum to discuss these ideas and evaluate whether current standards meet the needs of the object detection community.
In addition, this workshop is hosting the latest iteration of the Probabilistic Object Detection (PrOD) Challenge which requires competitors to estimate semantic and spatial uncertainty.
Full Workshop YouTube Playlist