Srikanth Malla

Staff AI/ML Engineer, Samsung Semiconductor US

Srikanth Malla

I am Srikanth Malla, currently leading initiatives as a Staff AI ML Engineer at Samsung Semiconductor US. My journey in tech began with roles at Honda Research Institute (HRI), USA, and Kinetic Automation, where I focused on research and development in Computer Vision and Machine Learning. My passion lies in the realm of intelligent robotics; I am driven by the vision of creating robots that coexist and assist humans, enhancing our everyday life. My academic foundation includes a Master's in Robotics Engineering from Worcester Polytechnic Institute (WPI), obtained in September 2018. Beyond my professional endeavors, I delve into projects that range from self-driving car technologies to deep learning applications, constantly seeking innovative ways to apply my skills in AI and machine learning to solve real-world problems.

Contact: srikanth.m@samsung.com


Publications

2025

CAMILA teaser

CAMILA: Context-Aware Masking for Image Editing with Language Alignment

Hyunseung Kim, Chiho Choi, Srikanth Malla, Sai Prahladh Padmanabhan, Saurabh Bagchi, Joon Hee Choi

Neurips 2025

BitWeaver teaser

BitWeaver: Read-Time Truncation in Memory

Garrett Gagnon, Srikanth Malla, Yangwook Kang, Liu Liu

ICS 2025

2024

COPAL teaser

COPAL: Continual Pruning in Large Language Generative Models

Srikanth Malla, Joon Hee Choi, Chiho Choi

ICML 2024

2023

DRAMA teaser

DRAMA: Joint Risk Localization and Captioning in Driving

Srikanth Malla, Chiho Choi, Isht Dwivedi, Joon Hee Choi, Jiachen Li

WACV 2023

2022

NEMO teaser

NEMO: Future Object Localization Using Noisy Ego Priors

Srikanth Malla, Isht Dwivedi, Behzad Dariush, Chiho Choi

ITSC 2022

2021

Bird's eye view segmentation teaser

Bird's Eye View Segmentation Using Lifted2D Semantic Features

Isht Dwivedi, Srikanth Malla, Yi-Ting Chen, Behzad Dariush

BMVC 2021

LOKI teaser

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

RAIN teaser

RAIN: Reinforced Hybrid Attention Inference Network for Motion Forecasting

Jiachen Li, Fan Yang, Hengbo Ma, Srikanth Malla, Masayoshi Tomizuka, Chiho Choi

ICCV 2021

Social-STAGE teaser

Social-STAGE: Spatio-Temporal Multi-Modal Future Trajectory Forecast

Srikanth Malla, Chiho Choi, Behzad Dariush

ICRA 2021

Shared cross-modal trajectory prediction teaser

Shared Cross-Modal Trajectory Prediction for Autonomous Driving

Chiho Choi, Joon Hee Choi, Jiachen Li, Srikanth Malla

CVPR 2021 [Oral]

2020

TITAN teaser

TITAN: Future Forecast using Action Priors

Srikanth Malla, Behzad Dariush, Chiho Choi

CVPR 2020 [Oral]

DROGON teaser

DROGON: A Trajectory Prediction Model based on Intention-Conditioned Behavior Reasoning

Chiho Choi, Srikanth Malla, Abhishek Patil, Joon Hee Choi

CORL 2020

SSP teaser

SSP: Single Shot Future Trajectory Prediction

Isht Dwivedi, Srikanth Malla, Behzad Dariush, Chiho Choi

IROS 2020

2019

H3D dataset teaser

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

2018

Semi-supervised driver behavior detection teaser

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

2016

Bellow pressure measurement figure

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


Professional Activities (Reviewer)