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Archan Misra

6 accepted papers

2026

NeuroLiDAR: Adaptive Frame Rate Depth Sensing Via Neuromorphic Event-LiDAR Fusion

Darshana Rathnayake, Dulanga Kaveesha Weerakoon Weerakoon Mudiyanselage, Meera Radhakrishnan, Archan Misra
ICRA 2026poster

LiDARs are widely used for 3D depth reconstruction, but their performance is often limited by inherent hardware constraints that impose trade-offs between range, spatial resolution, and frame rate. Many LiDAR systems typically operate at low frame rates (e.g., 5-10 Hz), prioritizing long-range sensi…

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2025

Ges3ViG : Incorporating Pointing Gestures into Language-Based 3D Visual Grounding for Embodied Reference Understanding

Atharv Mahesh Mane, Dulanga Weerakoon, Vigneshwaran Subbaraju, Sougata Sen, Sanjay E. Sarma, Archan Misra
CVPR 2025poster

3-Dimensional Embodied Reference Understanding (3DERU) combines a language description and an accompanying pointing gesture to identify the most relevant target object in a 3D scene. Although prior work has explored pure language-based 3D grounding, there has been limited exploration of 3D-ERU, whic…

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2024

CAS: Fusing DNN Optimization & Adaptive Sensing for Energy-Efficient Multi-Modal Inference

Dulanga Weerakoon, Vigneshwaran Subbaraju, Joo Hwee Lim, Archan Misra
RA-L 2024

Intelligent virtual agents are used to accomplish complex multi-modal tasks such as human instruction comprehension in mixed-reality environments by increasingly adopting richer, energy-intensive sensors and processing pipelines. In such applications, the <italic xmlns:mml="http://www.w3.org/1998/Ma

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2024

D2SR: Decentralized Detection, De-Synchronization, and Recovery of LiDAR Interference

Darshana Rathnayake, Hemanth Sabbella, Meera Radhakrishnan, Archan Misra
IROS 2024poster

We address the challenge of multi-LiDAR interference, an issue of growing importance as LiDAR sensors are embedded in a growing set of pervasive devices. We introduce a novel approach named D2SR, enabling decentralized interference detection, mitigation, and recovery without explicit coordination am…

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2024

EyeGraph: Modularity-aware Spatio Temporal Graph Clustering for Continuous Event-based Eye Tracking

Nuwan Sriyantha Bandara, Thivya Kandappu, Argha Sen, Ila Gokarn, Archan Misra
NeurIPS 2024poster

Continuous tracking of eye movement dynamics plays a significant role in developing a broad spectrum of human-centered applications, such as cognitive skills (visual attention and working memory) modeling, human-machine interaction, biometric user authentication, and foveated rendering. Recently neu…

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2022

COSM2IC: Optimizing Real-Time Multi-Modal Instruction Comprehension

Dulanga Weerakoon, Vigneshwaran Subbaraju, Tuan Tran, Archan Misra
RA-L 2022

Supporting real-time, on-device execution of <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">multi-modal referring instruction comprehension</i> models is an important challenge to be tackled in embodied Human-Robot Interaction. However, state-of-the

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