Invited Talks


Keynote Speaker
Workshop on Benchmarking Trajectory Forecasting Models
ECCV, 2020/08

Title: New Perspective on Perception and Prediction Pipeline for Autonomous Driving
[Slides]

Keynote Speaker
Workshop on Scalability in Autonomous Driving
CVPR, 2020/06

Title: Recent Advances in 3D Multi-Object Tracking for Autonomous Driving
[Slides] [Video]

Invited Speaker
Seminar at Robots-Perceiving and Doing (R-Pad) Lab
Carnegie Mellon University, 2018/07

Title: Rotation-Equivariant Object Detection & Unsupervised Facial Landmark Detection
[Slides1] [Slides2]

Contributed Talks


Oral Paper Presentation
IROS, 2020/10

Title: 3D Multi-Object Tracking: A Baseline and New Evaluation Metrics
[Slides] [Video]

Oral Paper Presentation
Workshop on Women in Computer Vision
ECCV, 2020/08

Title: A Baseline for 3D Multi-Object Tracking and New Evaluation Metrics
[Slides] [Video]

Spotlight Paper Presentation
Workshop on Benchmarking Trajectory Forecasting Models
ECCV, 2020/08

Title: End-to-End 3D Multi-Object Tracking and Trajectory Forecasting
[Slides] [Video]

Spotlight Paper Presentation
Workshop on 4D Vision
ECCV, 2020/08

Title: Graph Neural Network for 3D Multi-Object Tracking
[Slides] [Video]

Spotlight Paper Presentation
Workshop on 4D Vision
ECCV, 2020/08

Title: 4D Forecasting: Sequential Forecasting of 100,000 Points
[Slides] [Video]

Oral Paper Presentation
WACV, 2018/03

Title: Rotational Rectification Network (R2N): Enabling Pedestrian Detection for Mobile Vision
[Slides]

Internal Talks


PhD Speaking Qualifier
Carnegie Mellon University, 2020/09

Title: 3D Multi-Object Tracking for Autonomous Driving
[Slides] [Video]

Seminar Presentation
Lab Meeting at Klab (Kris Kitani's Lab)
Carnegie Mellon University, 2019/10

Title: Games with Sequential Actions: (Finite) Extensive-Form Games
[Slides]

Seminar Presentation
Lab Meeting at Klab (Kris Kitani's Lab)
Carnegie Mellon University, 2019/06

Title: Object Detection and Tracking in 3D World
[Slides]

Seminar Presentation
Lab Meeting at Klab (Kris Kitani's Lab)
Carnegie Mellon University, 2018/09

Title: Interpretability of Machine Learning for Computer Vision
[Slides]

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