Srikanth Malla

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I am currently working as Staff Research Engineer at Kinetic Automation (Stealth Startup). Prior to that I worked as Research Engineer at Honda Research Institute (HRI), USA. I believe in intelligent robots that will coexist and help humans someday in near future. I am working to make that happen. I completed my Master's in Robotics Engineering from Worcester Polytechnic Institute (WPI) in September 2018. I am interested in problems related to Computer Vision and Machine Learning. I am currently working on Multi-Object Tracking and Future Trajectory Prediction related problems for Self Driving Cars. I previously worked on 3D object Detection and 2D/3D Simultaneous Localization and Mapping (SLAM). I also worked with Prof Katerina Fragkiadaki (CMU) during 2017 Summer on 3D scene understanding (vision based ego-motion estimation). During my bachelors (2015-16) I have also worked with Sebastian Scherer (CMU) on Motion Planning for UAVs.

Contact: srikanth@kinetic.auto

Publications

	DRAMA: Joint Risk Localization and Captioning in Driving Srikanth Malla, Chiho Choi, Isht Dwivedi, Joon Hee Choi, Jiachen Li WACV 2023 Paper Abstract Bibtex Dataset
	NEMO: Future Object Localization Using Noisy Ego Priors Srikanth Malla, Isht Dwivedi, Behzad Dariush, Chiho Choi ITSC 2022 Paper Abstract Bibtex
	Bird's Eye View Segmentation Using Lifted2D Semantic Features Isht Dwivedi, Srikanth Malla, Yi-Ting Chen, Behzad Dariush BMVC 2021 Paper Abstract Bibtex Video
	LOKI: Long Term and Key Intentions for Trajectory Prediction Harshayu Girase, Haiming Gang, Srikanth Malla, Jiachen Li, Akira Kanehara, Karttikeya Mangalam, Chiho Choi ICCV 2021 Paper Abstract Bibtex Video
	RAIN: Reinforced Hybrid Attention Inference Network for Motion Forecasting Jiachen Li, Fan Yang, Hengbo Ma, Srikanth Malla, Masayoshi Tomizuka, Chiho Choi ICCV 2021 Paper Abstract Bibtex Video
	Social-STAGE: Spatio-Temporal Multi-Modal Future Trajectory Forecast Srikanth Malla, Chiho Choi, Behzad Dariush ICRA 2021 Paper Abstract Bibtex Slides
	Shared Cross-Modal Trajectory Prediction for Autonomous Driving Chiho Choi, Joon Hee Choi, Jiachen Li, Srikanth Malla CVPR 2021 [Oral] Paper Abstract Bibtex Video
	TITAN: Future Forecast using Action Priors Srikanth Malla, Behzad Dariush, Chiho Choi CVPR 2020 [Oral] Paper Abstract Bibtex Video
	DROGON: A Trajectory Prediction Model based on Intention-Conditioned Behavior Reasoning Chiho Choi, Srikanth Malla, Abhishek Patil, Joon Hee Choi CORL 2020 Paper Abstract Bibtex Video
	SSP: Single Shot Future Trajectory Prediction Isht Dwivedi, Srikanth Malla, Behzad Dariush, Chiho Choi IROS 2020 Paper Abstract Bibtex
	The H3D Dataset for Full-Surround 3D Multi-Object Detection and Tracking in Crowded Urban Scenes Abhishek Patil, Srikanth Malla, Haiming Gang, Yi-Ting Chen ICRA 2019 Paper Abstract Bibtex Dataset
	Semi-supervised Learning: Fusion of Self-supervised, Supervised Learning, and Multimodal Cues for Tactical Driver Behavior Detection Athma Narayanan, Yi-Ting Chen, Srikanth Malla CVPR 2018, Deep Vision Workshop Paper Abstract Bibtex
	Development of an Intelligent Pressure Measuring Technique using Radial Basis Neural Network Naveen Kumar Vaegae, Venkata Lakshmi Narayana, Srikanth Malla Elsevier Sensors and Transducers Physical A Journal 2016 Paper Abstract Bibtex