Srikanth Malla

According to our database1, Srikanth Malla authored at least 15 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
CLR-GAM: Contrastive Point Cloud Learning with Guided Augmentation and Feature Mapping.
CoRR, 2023

DRAMA: Joint Risk Localization and Captioning in Driving.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

2022
NEMO: Future Object Localization Using Noisy Ego Priors.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

2021
Social-STAGE: Spatio-Temporal Multi-Modal Future Trajectory Forecast.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

LOKI: Long Term and Key Intentions for Trajectory Prediction.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

RAIN: Reinforced Hybrid Attention Inference Network for Motion Forecasting.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Shared Cross-Modal Trajectory Prediction for Autonomous Driving.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Bird's Eye View Segmentation Using Lifted 2D Semantic Features.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020
SSP: Single Shot Future Trajectory Prediction.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

TITAN: Future Forecast Using Action Priors.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

DROGON: A Trajectory Prediction Model based on Intention-Conditioned Behavior Reasoning.
Proceedings of the 4th Conference on Robot Learning, 2020

2019
NEMO: Future Object Localization Using Noisy Ego Priors.
CoRR, 2019

DROGON: A Causal Reasoning Framework for Future Trajectory Forecast.
CoRR, 2019

The H3D Dataset for Full-Surround 3D Multi-Object Detection and Tracking in Crowded Urban Scenes.
Proceedings of the International Conference on Robotics and Automation, 2019

2018
Semi-supervised Learning: Fusion of Self-supervised, Supervised Learning, and Multimodal Cues for Tactical Driver Behavior Detection.
CoRR, 2018


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