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Fei Wang

5 papers hereh-index 4116 citations14 works total

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

author position
  • middle author1
  • last author4

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • cs.LG1
same name
  • Fei Wang — 33 papers, h 135
  • Fei Wang — 15 papers, h 7
  • Fei Wang — 13 papers, h 20
  • Fei Wang — 12 papers, h 4
  • Fei Wang — 11 papers, h 3
  • Fei Wang — 9 papers, 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
20242026
collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2026

MobiDiary: Autoregressive Action Captioning with Wearable Devices and Wireless Signals

Fei Deng, Yinghui He, Chuntong Chu +4

Human Activity Recognition (HAR) in smart homes is critical for health monitoring and assistive living. While vision-based systems are common, they face privacy concerns and enviro…

cs.CV2025

XRF V2: A Dataset for Action Summarization with Wi-Fi Signals, and IMUs in Phones, Watches, Earbuds, and Glasses

Bo Lan, Pei Li, Jiaxi Yin +5

Human Action Recognition (HAR) plays a crucial role in applications such as health monitoring, smart home automation, and human-computer interaction. While HAR has been extensively…

cs.CV2025

mmEgoHand: Egocentric Hand Pose Estimation and Gesture Recognition with Head-mounted Millimeter-wave Radar and IMU

Yizhe Lv, Tingting Zhang, Zhijian Wang +4

Recent advancements in millimeter-wave (mmWave) radar have demonstrated its potential for human action recognition and pose estimation, offering privacy-preserving advantages over…

cs.CV2025

HiLoTs: High-Low Temporal Sensitive Representation Learning for Semi-Supervised LiDAR Segmentation in Autonomous Driving

R. D. Lin, Pengcheng Weng, Yinqiao Wang +3

LiDAR point cloud semantic segmentation plays a crucial role in autonomous driving. In recent years, semi-supervised methods have gained popularity due to their significant reducti…

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