Carlos Vallespi-Gonzalez

29 papers A* 2A 3C 1Misc 1Journal 16Unranked 6

Year	Rank	Type	Title / Venue / Authors
2022	A*	`conf`	Convolutions for Spatial Interaction Modeling. CVPR Zhaoen Su, Chao Wang, David Bradley, Carlos Vallespi-Gonzalez, Carl Wellington, Nemanja Djuric
2022	A	`conf`	Multi-View Fusion of Sensor Data for Improved Perception and Prediction in Autonomous Driving. WACV Sudeep Fadadu, Shreyash Pandey, Darshan Hegde, Yi Shi, Fang-Chieh Chou, Nemanja Djuric, Carlos Vallespi-Gonzalez
2021	J	`jnl`	3D Point Cloud Processing and Learning for Autonomous Driving: Impacting Map Creation, Localization, and Perception. IEEE Signal Process. Mag. Siheng Chen, Baoan Liu, Chen Feng, Carlos Vallespi-Gonzalez, Carl Wellington
2021	J	`jnl`	Convolutions for Spatial Interaction Modeling. CoRR Zhaoen Su, Chao Wang, David Bradley, Carlos Vallespi-Gonzalez, Carl Wellington, Nemanja Djuric
2021	—	`conf`	DVTracker: Real-Time Multi-Sensor Association and Tracking for Self-Driving Vehicles. ICCVW Shivam Gautam, Gregory P. Meyer, Carlos Vallespi-Gonzalez, Brian C. Becker
2021	J	`jnl`	Investigating the Effect of Sensor Modalities in Multi-Sensor Detection-Prediction Models. CoRR Abhishek Mohta, Fang-Chieh Chou, Brian C. Becker, Carlos Vallespi-Gonzalez, Nemanja Djuric
2021	J	`jnl`	LaserFlow: Efficient and Probabilistic Object Detection and Motion Forecasting. IEEE Robotics Autom. Lett. Gregory P. Meyer, Jake Charland, Shreyash Pandey, Ankit Laddha, Shivam Gautam, Carlos Vallespi-Gonzalez, Carl K. Wellington
2021	—	`conf`	MVFuseNet: Improving End-to-End Object Detection and Motion Forecasting Through Multi-View Fusion of LiDAR Data. CVPR Workshops Ankit Laddha, Shivam Gautam, Stefan Palombo, Shreyash Pandey, Carlos Vallespi-Gonzalez
2021	J	`jnl`	MVFuseNet: Improving End-to-End Object Detection and Motion Forecasting through Multi-View Fusion of LiDAR Data. CoRR Ankit Laddha, Shivam Gautam, Stefan Palombo, Shreyash Pandey, Carlos Vallespi-Gonzalez
2021	C	`conf`	MultiXNet: Multiclass Multistage Multimodal Motion Prediction. IV Nemanja Djuric, Henggang Cui, Zhaoen Su, Shangxuan Wu, Huahua Wang, Fang-Chieh Chou, Luisa San Martin, Song Feng, Rui Hu, Yang Xu, Alyssa Dayan, Sidney Zhang, Brian C. Becker, Gregory P. Meyer, Carlos Vallespi-Gonzalez, Carl K. Wellington
2021	A	`conf`	RV-FuseNet: Range View Based Fusion of Time-Series LiDAR Data for Joint 3D Object Detection and Motion Forecasting. IROS Ankit Laddha, Shivam Gautam, Gregory P. Meyer, Carlos Vallespi-Gonzalez, Carl K. Wellington
2021	A	`conf`	Temporally-Continuous Probabilistic Prediction using Polynomial Trajectory Parameterization. IROS Zhaoen Su, Chao Wang, Henggang Cui, Nemanja Djuric, Carlos Vallespi-Gonzalez, David Bradley
2021	—	`conf`	Uncertainty-Aware Estimation of Vehicle Orientation for Self-Driving Applications. ITSC Henggang Cui, Fang-Chieh Chou, Jake Charland, Carlos Vallespi-Gonzalez, Nemanja Djuric
2020	J	`jnl`	3D Point Cloud Processing and Learning for Autonomous Driving. CoRR Siheng Chen, Baoan Liu, Chen Feng, Carlos Vallespi-Gonzalez, Carl Wellington
2020	J	`jnl`	LaserFlow: Efficient and Probabilistic Object Detection and Motion Forecasting. CoRR Gregory P. Meyer, Jake Charland, Shreyash Pandey, Ankit Laddha, Carlos Vallespi-Gonzalez, Carl K. Wellington
2020	Misc	`conf`	LiRaNet: End-to-End Trajectory Prediction using Spatio-Temporal Radar Fusion. CoRL Meet Shah, Zhiling Huang, Ankit Laddha, Matthew Langford, Blake Barber, Sida Zhang, Carlos Vallespi-Gonzalez, Raquel Urtasun
2020	J	`jnl`	LiRaNet: End-to-End Trajectory Prediction using Spatio-Temporal Radar Fusion. CoRR Meet Shah, Zhiling Huang, Ankit Laddha, Matthew Langford, Blake Barber, Sidney Zhang, Carlos Vallespi-Gonzalez, Raquel Urtasun
2020	J	`jnl`	Multi-View Fusion of Sensor Data for Improved Perception and Prediction in Autonomous Driving. CoRR Sudeep Fadadu, Shreyash Pandey, Darshan Hegde, Yi Shi, Fang-Chieh Chou, Nemanja Djuric, Carlos Vallespi-Gonzalez
2020	J	`jnl`	MultiXNet: Multiclass Multistage Multimodal Motion Prediction. CoRR Nemanja Djuric, Henggang Cui, Zhaoen Su, Shangxuan Wu, Huahua Wang, Fang-Chieh Chou, Luisa San Martin, Song Feng, Rui Hu, Yang Xu, Alyssa Dayan, Sidney Zhang, Brian C. Becker, Gregory P. Meyer, Carlos Vallespi-Gonzalez, Carl K. Wellington
2020	J	`jnl`	RV-FuseNet: Range View based Fusion of Time-Series LiDAR Data for Joint 3D Object Detection and Motion Forecasting. CoRR Ankit Laddha, Shivam Gautam, Gregory P. Meyer, Carlos Vallespi-Gonzalez
2020	J	`jnl`	SDVTracker: Real-Time Multi-Sensor Association and Tracking for Self-Driving Vehicles. CoRR Shivam Gautam, Gregory P. Meyer, Carlos Vallespi-Gonzalez, Brian C. Becker
2020	J	`jnl`	Temporally-Continuous Probabilistic Prediction using Polynomial Trajectory Parameterization. CoRR Zhaoen Su, Chao Wang, Henggang Cui, Nemanja Djuric, Carlos Vallespi-Gonzalez, David Bradley
2020	J	`jnl`	Uncertainty-Aware Vehicle Orientation Estimation for Joint Detection-Prediction Models. CoRR Henggang Cui, Fang-Chieh Chou, Jake Charland, Carlos Vallespi-Gonzalez, Nemanja Djuric
2019	A*	`conf`	LaserNet: An Efficient Probabilistic 3D Object Detector for Autonomous Driving. CVPR Gregory P. Meyer, Ankit Laddha, Eric Kee, Carlos Vallespi-Gonzalez, Carl K. Wellington
2019	J	`jnl`	LaserNet: An Efficient Probabilistic 3D Object Detector for Autonomous Driving. CoRR Gregory P. Meyer, Ankit Laddha, Eric Kee, Carlos Vallespi-Gonzalez, Carl K. Wellington
2019	—	`conf`	Sensor Fusion for Joint 3D Object Detection and Semantic Segmentation. CVPR Workshops Gregory P. Meyer, Jake Charland, Darshan Hegde, Ankit Laddha, Carlos Vallespi-Gonzalez
2019	—	`conf`	Sensor Fusion for Joint 3D Object Detection and Semantic Segmentation. CVPR Workshops Gregory P. Meyer, Jake Charland, Darshan Hegde, Ankit Laddha, Carlos Vallespi-Gonzalez
2019	J	`jnl`	Sensor Fusion for Joint 3D Object Detection and Semantic Segmentation. CoRR Gregory P. Meyer, Jake Charland, Darshan Hegde, Ankit Laddha, Carlos Vallespi-Gonzalez
2008	—	`conf`	Prior Data and Kernel Conditional Random Fields for Obstacle Detection. Robotics: Science and Systems Carlos Vallespi-Gonzalez, Tony Stentz