239 citations · 382 across the 9 of their papers we have counts for
9 papers
CLERA: A Unified Model for Joint Cognitive Load and Eye Region Analysis in the Wild
Li Ding, Jack Terwilliger, Aishni Parab +4
Non-intrusive, real-time analysis of the dynamics of the eye region allows us to monitor humans' visual attention allocation and estimate their mental state during the performance…
DeepMapping2: Self-Supervised Large-Scale LiDAR Map Optimization
Chao Chen, Xinhao Liu, Yiming Li +2
LiDAR mapping is important yet challenging in self-driving and mobile robotics. To tackle such a global point cloud registration problem, DeepMapping converts the complex map estim…
Self-Supervised Place Recognition by Refining Temporal and Featural Pseudo Labels from Panoramic Data
Chao Chen, Zegang Cheng, Xinhao Liu +4
Visual place recognition (VPR) using deep networks has achieved state-of-the-art performance. However, most of them require a training set with ground truth sensor poses to obtain…
Deep Weakly Supervised Positioning
Ruoyu Wang, Xuchu Xu, Li Ding +2
PoseNet can map a photo to the position where it is taken, which is appealing in robotics. However, training PoseNet requires full supervision, where ground truth positions are non…
Object as Distribution
Li Ding, Lex Fridman
Object detection is a critical part of visual scene understanding. The representation of the object in the detection task has important implications on the efficiency and feasibili…
Value of Temporal Dynamics Information in Driving Scene Segmentation
Li Ding, Jack Terwilliger, Rini Sherony +2
Semantic scene segmentation has primarily been addressed by forming representations of single images both with supervised and unsupervised methods. The problem of semantic segmenta…