90 citations · 678 across the 49 of their papers we have counts for
7 papers · 1 filter
Incremental Class Discovery for Semantic Segmentation with RGBD Sensing
Yoshikatsu Nakajima, Byeongkeun Kang, Hideo Saito +1
This work addresses the task of open world semantic segmentation using RGBD sensing to discover new semantic classes over time. Although there are many types of objects in the real…
Diverse Trajectory Forecasting with Determinantal Point Processes
Ye Yuan, Kris Kitani
The ability to forecast a set of likely yet diverse possible future behaviors of an agent (e.g., future trajectories of a pedestrian) is essential for safety-critical perception sy…
3D Multi-Object Tracking: A Baseline and New Evaluation Metrics
Xinshuo Weng, Jianren Wang, David Held +1
3D multi-object tracking (MOT) is an essential component for many applications such as autonomous driving and assistive robotics. Recent work on 3D MOT focuses on developing accura…
Ego-Pose Estimation and Forecasting as Real-Time PD Control
Ye Yuan, Kris Kitani
We propose the use of a proportional-derivative (PD) control based policy learned via reinforcement learning (RL) to estimate and forecast 3D human pose from egocentric videos. The…
Learning Spatio-Temporal Features with Two-Stream Deep 3D CNNs for Lipreading
Xinshuo Weng, Kris Kitani
We focus on the word-level visual lipreading, which requires recognizing the word being spoken, given only the video but not the audio. State-of-the-art methods explore the use of…
PRECOG: PREdiction Conditioned On Goals in Visual Multi-Agent Settings
Nicholas Rhinehart, Rowan McAllister, Kris Kitani +1
For autonomous vehicles (AVs) to behave appropriately on roads populated by human-driven vehicles, they must be able to reason about the uncertain intentions and decisions of other…
Monocular 3D Object Detection with Pseudo-LiDAR Point Cloud
Xinshuo Weng, Kris Kitani
Monocular 3D scene understanding tasks, such as object size estimation, heading angle estimation and 3D localization, is challenging. Successful modern day methods for 3D scene und…