Search Results for author: Cong-Cong Li

Found 11 papers, 2 papers with code

VectorNet: Encoding HD Maps and Agent Dynamics from Vectorized Representation

5 code implementations CVPR 2020 Jiyang Gao, Chen Sun, Hang Zhao, Yi Shen, Dragomir Anguelov, Cong-Cong Li, Cordelia Schmid

Behavior prediction in dynamic, multi-agent systems is an important problem in the context of self-driving cars, due to the complex representations and interactions of road components, including moving agents (e. g. pedestrians and vehicles) and road context information (e. g. lanes, traffic lights).

Self-Driving Cars

STINet: Spatio-Temporal-Interactive Network for Pedestrian Detection and Trajectory Prediction

no code implementations CVPR 2020 Zhishuai Zhang, Jiyang Gao, Junhua Mao, Yukai Liu, Dragomir Anguelov, Cong-Cong Li

For the Waymo Open Dataset, we achieve a bird-eyes-view (BEV) detection AP of 80. 73 and trajectory prediction average displacement error (ADE) of 33. 67cm for pedestrians, which establish the state-of-the-art for both tasks.

Autonomous Driving object-detection +3

A probabilistic graphical model approach in 30 m land cover mapping with multiple data sources

no code implementations11 Dec 2016 Jie Wang, Luyan Ji, Xiaomeng Huang, Haohuan Fu, Shiming Xu, Cong-Cong Li

Conditional probability distributions were computed based on data quality and reliability by using information selectively.

Time Series

\theta-MRF: Capturing Spatial and Semantic Structure in the Parameters for Scene Understanding

no code implementations NeurIPS 2011 Cong-Cong Li, Ashutosh Saxena, Tsuhan Chen

For most scene understanding tasks (such as object detection or depth estimation), the classifiers need to consider contextual information in addition to the local features.

Depth Estimation object-detection +2

Towards Holistic Scene Understanding: Feedback Enabled Cascaded Classification Models

no code implementations NeurIPS 2010 Cong-Cong Li, Adarsh Kowdle, Ashutosh Saxena, Tsuhan Chen

In many machine learning domains (such as scene understanding), several related sub-tasks (such as scene categorization, depth estimation, object detection) operate on the same raw data and provide correlated outputs.

Classification Depth Estimation +6

Cannot find the paper you are looking for? You can Submit a new open access paper.