Going deeper with convolutions

Christian Szegedy, Wei Liu, Yangqing Jia, +6

Image ClassificationDeep Neural NetworksImage AnalysisMachine LearningData Science +13

Scalability in Perception for Autonomous Driving: Waymo Open Dataset

Pei Sun, Henrik Kretzschmar, Xerxes Dotiwalla, +20

SCAPE

Dragomir Anguelov, P. Srinivasan, Daphne Koller, +3

ACM Transactions on Graphics

Human Pose Estimation3D Pose EstimationWearable TechnologyHuman ModellingKinesiology +15

Going Deeper with Convolutions

Christian Szegedy, Wei Liu, Yangqing Jia, +6

arXiv (Cornell University)

Image ClassificationDeep Neural NetworksMachine VisionMachine LearningData Science +13

3D Bounding Box Estimation Using Deep Learning and Geometry

Arsalan Mousavian, Dragomir Anguelov, John P. Flynn, +1

Geometric Modeling3D Computer VisionPose EstimationMachine VisionMachine Learning +11

Scalable Object Detection Using Deep Neural Networks

Dumitru Erhan, Christian Szegedy, Alexander Toshev, +1

Image ClassificationConvolutional Neural NetworkMachine VisionImage AnalysisMachine Learning +11

VectorNet: Encoding HD Maps and Agent Dynamics From Vectorized Representation

Jiyang Gao, Chen Sun, Hang Zhao, +4

Artificial IntelligenceGeometric LearningConvolutional Neural NetworkEngineeringMachine Learning +17

PointFusion: Deep Sensor Fusion for 3D Bounding Box Estimation

Danfei Xu, Dragomir Anguelov, Ashesh Jain

EngineeringMachine LearningPoint Cloud ProcessingPresent PointfusionScene Modeling +16

Google Street View: Capturing the World at Street Level

Dragomir Anguelov, Carole Dulong, Daniel Filip, +6

Computer

EngineeringUrban InformaticsGeovisualizationSmart CityGeographic Information Retrieval +15

Training Deep Neural Networks on Noisy Labels with Bootstrapping

Scott Reed, Honglak Lee, Dragomir Anguelov, +3

arXiv (Cornell University)

Few-shot LearningConvolutional Neural NetworkDeep Neural NetworksMachine VisionMachine Learning +13