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researcher

S. Guhathakurta

6 papers hereh-index 304.2k citations128 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author4
  • last author2

Across the 6 of 6 papers where every author was matched, so the position is known.

fields
  • eess.AS4
  • math.OC1
  • physics.soc-ph1
same name
  • S. Guhathakurta — 1 paper, h 3

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20212026
most citedThe Bicycle Network Improvement Problem

12 citations · 16 across the 5 of their papers we have counts for

collaborators
Showing eess.ASShow all

4 papers · 1 filter

eess.AS2026

Cross-Modal Knowledge Distillation for Acoustic Pedestrian Detection

Yonghyun Kim, Chaeyeon Han, Sancho Gatungay +2

Audio-only pedestrian detection is attractive for urban sensing but limited by weak acoustic cues. An appealing strategy is cross-modal knowledge distillation, in which a video tea…

eess.AS2025

Audio-Based Pedestrian Detection in the Presence of Vehicular Noise

Yonghyun Kim, Chaeyeon Han, Akash Sarode +3

Audio-based pedestrian detection is a challenging task and has, thus far, only been explored in noise-limited environments. We present a new dataset, results, and a detailed analys…

eess.AS2024★ 4 cited

Understanding Pedestrian Movement Using Urban Sensing Technologies: The Promise of Audio-based Sensors

Chaeyeon Han, Pavan Seshadri, Yiwei Ding +5

While various sensors have been deployed to monitor vehicular flows, sensing pedestrian movement is still nascent. Yet walking is a significant mode of travel in many cities, espec…

eess.AS2023

ASPED: An Audio Dataset for Detecting Pedestrians

Pavan Seshadri, Chaeyeon Han, Bon-Woo Koo +3

We introduce the new audio analysis task of pedestrian detection and present a new large-scale dataset for this task. While the preliminary results prove the viability of using aud…

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