Mahathir Monjur, Shahriar Nirjon
mmWEAVER: Environment-Specific mmWave Signal Synthesis from a Photo and Activity Description
https://arxiv.org/abs/2512.11894
mmWEAVER: Environment-Specific mmWave Signal Synthesis from a Photo and Activity Description
https://arxiv.org/abs/2512.11894
December 16, 2025 at 3:06 PM
Mahathir Monjur, Shahriar Nirjon
mmWEAVER: Environment-Specific mmWave Signal Synthesis from a Photo and Activity Description
https://arxiv.org/abs/2512.11894
mmWEAVER: Environment-Specific mmWave Signal Synthesis from a Photo and Activity Description
https://arxiv.org/abs/2512.11894
Senhao Gao, Junqing Zhang, Luoyu Mei, Shuai Wang, Xuyu Wang
Exploring Spatial-Temporal Representation via Star Graph for mmWave Radar-based Human Activity Recognition
https://arxiv.org/abs/2512.12013
Exploring Spatial-Temporal Representation via Star Graph for mmWave Radar-based Human Activity Recognition
https://arxiv.org/abs/2512.12013
December 16, 2025 at 2:48 PM
Senhao Gao, Junqing Zhang, Luoyu Mei, Shuai Wang, Xuyu Wang
Exploring Spatial-Temporal Representation via Star Graph for mmWave Radar-based Human Activity Recognition
https://arxiv.org/abs/2512.12013
Exploring Spatial-Temporal Representation via Star Graph for mmWave Radar-based Human Activity Recognition
https://arxiv.org/abs/2512.12013
Junqiao Fan, Yunjiao Zhou, Yizhuo Yang, Xinyuan Cui, Jiarui Zhang, Lihua Xie, Jianfei Yang, Chris Xiaoxuan Lu, Fangqiang Ding
M4Human: A Large-Scale Multimodal mmWave Radar Benchmark for Human Mesh Reconstruction
https://arxiv.org/abs/2512.12378
M4Human: A Large-Scale Multimodal mmWave Radar Benchmark for Human Mesh Reconstruction
https://arxiv.org/abs/2512.12378
December 16, 2025 at 1:36 PM
Junqiao Fan, Yunjiao Zhou, Yizhuo Yang, Xinyuan Cui, Jiarui Zhang, Lihua Xie, Jianfei Yang, Chris Xiaoxuan Lu, Fangqiang Ding
M4Human: A Large-Scale Multimodal mmWave Radar Benchmark for Human Mesh Reconstruction
https://arxiv.org/abs/2512.12378
M4Human: A Large-Scale Multimodal mmWave Radar Benchmark for Human Mesh Reconstruction
https://arxiv.org/abs/2512.12378
mmWave Sensors and Modules Market Segment, Size, Share, Global Trends, 2035 www.marketresearchfuture.com/reports/mmwa...
mmWave Sensors and Modules Market Segment, Size, Share, Global Trends, 2035
mmWave Sensors and Modules Market Share Expected to Grow at a CAGR of 28.67% 2024 to 2035, Emerging Global Opportunities in mmWave Sensors and Modules Market Growth by Major Companies, Future Trends, ...
www.marketresearchfuture.com
December 16, 2025 at 12:21 PM
mmWave Sensors and Modules Market Segment, Size, Share, Global Trends, 2035 www.marketresearchfuture.com/reports/mmwa...
Tomoya Tanaka, Tomonori Ikeda, Ryo Yonemoto
Comprehensive Deployment-Oriented Assessment for Cross-Environment Generalization in Deep Learning-Based mmWave Radar Sensing
https://arxiv.org/abs/2512.13018
Comprehensive Deployment-Oriented Assessment for Cross-Environment Generalization in Deep Learning-Based mmWave Radar Sensing
https://arxiv.org/abs/2512.13018
December 16, 2025 at 11:44 AM
Tomoya Tanaka, Tomonori Ikeda, Ryo Yonemoto
Comprehensive Deployment-Oriented Assessment for Cross-Environment Generalization in Deep Learning-Based mmWave Radar Sensing
https://arxiv.org/abs/2512.13018
Comprehensive Deployment-Oriented Assessment for Cross-Environment Generalization in Deep Learning-Based mmWave Radar Sensing
https://arxiv.org/abs/2512.13018
Tomoya Tanaka, Tomonori Ikeda, Ryo Yonemoto: Comprehensive Deployment-Oriented Assessment for Cross-Environment Generalization in Deep Learning-Based mmWave Radar Sensing https://arxiv.org/abs/2512.13018 https://arxiv.org/pdf/2512.13018 https://arxiv.org/html/2512.13018
December 16, 2025 at 6:32 AM
Tomoya Tanaka, Tomonori Ikeda, Ryo Yonemoto: Comprehensive Deployment-Oriented Assessment for Cross-Environment Generalization in Deep Learning-Based mmWave Radar Sensing https://arxiv.org/abs/2512.13018 https://arxiv.org/pdf/2512.13018 https://arxiv.org/html/2512.13018
Fan, Zhou, Yang, Cui, Zhang, Xie, Yang, Lu, Ding: M4Human: A Large-Scale Multimodal mmWave Radar Benchmark for Human Mesh Reconstruction https://arxiv.org/abs/2512.12378 https://arxiv.org/pdf/2512.12378 https://arxiv.org/html/2512.12378
December 16, 2025 at 6:31 AM
Fan, Zhou, Yang, Cui, Zhang, Xie, Yang, Lu, Ding: M4Human: A Large-Scale Multimodal mmWave Radar Benchmark for Human Mesh Reconstruction https://arxiv.org/abs/2512.12378 https://arxiv.org/pdf/2512.12378 https://arxiv.org/html/2512.12378
Senhao Gao, Junqing Zhang, Luoyu Mei, Shuai Wang, Xuyu Wang: Exploring Spatial-Temporal Representation via Star Graph for mmWave Radar-based Human Activity Recognition https://arxiv.org/abs/2512.12013 https://arxiv.org/pdf/2512.12013 https://arxiv.org/html/2512.12013
December 16, 2025 at 6:30 AM
Senhao Gao, Junqing Zhang, Luoyu Mei, Shuai Wang, Xuyu Wang: Exploring Spatial-Temporal Representation via Star Graph for mmWave Radar-based Human Activity Recognition https://arxiv.org/abs/2512.12013 https://arxiv.org/pdf/2512.12013 https://arxiv.org/html/2512.12013
Mahathir Monjur, Shahriar Nirjon: mmWEAVER: Environment-Specific mmWave Signal Synthesis from a Photo and Activity Description https://arxiv.org/abs/2512.11894 https://arxiv.org/pdf/2512.11894 https://arxiv.org/html/2512.11894
December 16, 2025 at 6:30 AM
Mahathir Monjur, Shahriar Nirjon: mmWEAVER: Environment-Specific mmWave Signal Synthesis from a Photo and Activity Description https://arxiv.org/abs/2512.11894 https://arxiv.org/pdf/2512.11894 https://arxiv.org/html/2512.11894
Stefan H\"agele, Adam Misik, Constantin Patsch, Eckehard Steinbach: ACCOR: Attention-Enhanced Complex-Valued Contrastive Learning for Occluded Object Classification Using mmWave Radar IQ Signals https://arxiv.org/abs/2512.11556 https://arxiv.org/pdf/2512.11556 https://arxiv.org/html/2512.11556
December 15, 2025 at 6:36 AM
Stefan H\"agele, Adam Misik, Constantin Patsch, Eckehard Steinbach: ACCOR: Attention-Enhanced Complex-Valued Contrastive Learning for Occluded Object Classification Using mmWave Radar IQ Signals https://arxiv.org/abs/2512.11556 https://arxiv.org/pdf/2512.11556 https://arxiv.org/html/2512.11556
NETGEAR Nighthawk M7 Pro Mobile Hotspot 5G mmWave, WiFi 7, Unlocked, AT&T & Verizon, International, Portable Device for Travel (Renewed) #Verizon #Nighthawk #WiFi7 #International
NETGEAR Nighthawk M7 Pro Mobile Hotspot 5G mmWave, WiFi 7, Unlocked, AT&T & Verizon, International, Portable Device for Travel (Renewed)
www.amazon.com
December 14, 2025 at 10:36 PM
NETGEAR Nighthawk M7 Pro Mobile Hotspot 5G mmWave, WiFi 7, Unlocked, AT&T & Verizon, International, Portable Device for Travel (Renewed) #Verizon #Nighthawk #WiFi7 #International
RFICs y mmWave, protagonistas en el crecimiento del mercado de chipsets 5G #SmartFactory #IIoT
RFICs y mmWave, protagonistas en el crecimiento del mercado de chipsets 5G
El mercado mundial de chipsets 5G experimentará un crecimiento sostenido en los próximos años, se...
internetdelascosas.xyz
December 14, 2025 at 7:43 PM
RFICs y mmWave, protagonistas en el crecimiento del mercado de chipsets 5G #SmartFactory #IIoT
Is it just me, or does Verizon’s network feel like 2003-20011’s Ev-DO(3G-like CDMA2000) all the time?
Like, yeah it’s RELIABLE, but what’s the point of reliable when it’s reliably slow?
The only time I see good speeds are on mmWave, and that’s line of sight.
Like, yeah it’s RELIABLE, but what’s the point of reliable when it’s reliably slow?
The only time I see good speeds are on mmWave, and that’s line of sight.
December 12, 2025 at 7:44 PM
Is it just me, or does Verizon’s network feel like 2003-20011’s Ev-DO(3G-like CDMA2000) all the time?
Like, yeah it’s RELIABLE, but what’s the point of reliable when it’s reliably slow?
The only time I see good speeds are on mmWave, and that’s line of sight.
Like, yeah it’s RELIABLE, but what’s the point of reliable when it’s reliably slow?
The only time I see good speeds are on mmWave, and that’s line of sight.
Tarik Reza Toha (Louie), Shao-Jung (Louie), Lu, Shahriar Nirjon
mmCounter: Static People Counting in Dense Indoor Scenarios Using mmWave Radar
https://arxiv.org/abs/2512.10357
mmCounter: Static People Counting in Dense Indoor Scenarios Using mmWave Radar
https://arxiv.org/abs/2512.10357
December 12, 2025 at 9:31 AM
Tarik Reza Toha (Louie), Shao-Jung (Louie), Lu, Shahriar Nirjon
mmCounter: Static People Counting in Dense Indoor Scenarios Using mmWave Radar
https://arxiv.org/abs/2512.10357
mmCounter: Static People Counting in Dense Indoor Scenarios Using mmWave Radar
https://arxiv.org/abs/2512.10357
Tarik Reza Toha (Louie), Shao-Jung (Louie), Lu, Shahriar Nirjon: mmCounter: Static People Counting in Dense Indoor Scenarios Using mmWave Radar https://arxiv.org/abs/2512.10357 https://arxiv.org/pdf/2512.10357 https://arxiv.org/html/2512.10357
December 12, 2025 at 6:30 AM
Tarik Reza Toha (Louie), Shao-Jung (Louie), Lu, Shahriar Nirjon: mmCounter: Static People Counting in Dense Indoor Scenarios Using mmWave Radar https://arxiv.org/abs/2512.10357 https://arxiv.org/pdf/2512.10357 https://arxiv.org/html/2512.10357
I’m telling you James: LITERALLY A GALVO CONTROLLED HIGH POWERED CONTINUOUS INFRARED FIBER LASER WITH AND A MMWAVE FIRE CONTROL RADAR WOULD PROVIDE 100% AREA DENIAL TO COTS DRONES.
December 11, 2025 at 9:38 PM
I’m telling you James: LITERALLY A GALVO CONTROLLED HIGH POWERED CONTINUOUS INFRARED FIBER LASER WITH AND A MMWAVE FIRE CONTROL RADAR WOULD PROVIDE 100% AREA DENIAL TO COTS DRONES.
of auton driving, so when a leading company like XPeng (top 2 auton system in China) says they're going LiDAR-less, they're using these 4D mmWave radars and not going truly camera-only like T*sla.
XPeng seems to be thinking that LiDARs are too high resolution in a counterproductive way
XPeng seems to be thinking that LiDARs are too high resolution in a counterproductive way
December 11, 2025 at 9:25 PM
of auton driving, so when a leading company like XPeng (top 2 auton system in China) says they're going LiDAR-less, they're using these 4D mmWave radars and not going truly camera-only like T*sla.
XPeng seems to be thinking that LiDARs are too high resolution in a counterproductive way
XPeng seems to be thinking that LiDARs are too high resolution in a counterproductive way
Yes it's definitely worth it, but only if the software can actually take advantage of it. In China LiDARs are everywhere now that the software and processing chips are advanced enough to do city auton (where LiDAR has an advantage). New 4D mmWave radars are effectively low-res LiDARs for the purpose
December 11, 2025 at 9:25 PM
Yes it's definitely worth it, but only if the software can actually take advantage of it. In China LiDARs are everywhere now that the software and processing chips are advanced enough to do city auton (where LiDAR has an advantage). New 4D mmWave radars are effectively low-res LiDARs for the purpose
The computing chips and software used in most current cars aren't advanced enough to take advantage of LiDAR data. A mmWave radar and a few cameras is enough for to do adaptive cruise control and lane centering on the highway. LiDARs are much more useful in more chaotic city streets.
December 11, 2025 at 8:21 PM
The computing chips and software used in most current cars aren't advanced enough to take advantage of LiDAR data. A mmWave radar and a few cameras is enough for to do adaptive cruise control and lane centering on the highway. LiDARs are much more useful in more chaotic city streets.
Shaoying Wang, Hansong Zhou, Yukun Yuan, Xiaonan Zhang: Who Speaks What from Afar: Eavesdropping In-Person Conversations via mmWave Sensing https://arxiv.org/abs/2512.09285 https://arxiv.org/pdf/2512.09285 https://arxiv.org/html/2512.09285
December 11, 2025 at 6:34 AM
Shaoying Wang, Hansong Zhou, Yukun Yuan, Xiaonan Zhang: Who Speaks What from Afar: Eavesdropping In-Person Conversations via mmWave Sensing https://arxiv.org/abs/2512.09285 https://arxiv.org/pdf/2512.09285 https://arxiv.org/html/2512.09285
Motorized Doma Intelligent Door automatically opens and closes and integrates UWB proximity, stereoscopic IR facial recognition, mmWave safety sensors, video doorbell, touchscreens, and smart locks.
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December 10, 2025 at 7:16 PM
Motorized Doma Intelligent Door automatically opens and closes and integrates UWB proximity, stereoscopic IR facial recognition, mmWave safety sensors, video doorbell, touchscreens, and smart locks.
New @home-assistant.io podcast episode: NetworkChuck joins me to go from Alexa to Assist voice with a Terry Crews clone, Frigate + Reolink, UniFi + AI for Wi‑Fi, Node‑RED vs n8n, Plex vs Jellyfin, Grocy and mmWave/ESP32 presence, plus local AI vs GPT/Claude.
https://youtu.be/C78rxdwcup4
https://youtu.be/C78rxdwcup4
December 9, 2025 at 4:10 PM
New @home-assistant.io podcast episode: NetworkChuck joins me to go from Alexa to Assist voice with a Terry Crews clone, Frigate + Reolink, UniFi + AI for Wi‑Fi, Node‑RED vs n8n, Plex vs Jellyfin, Grocy and mmWave/ESP32 presence, plus local AI vs GPT/Claude.
https://youtu.be/C78rxdwcup4
https://youtu.be/C78rxdwcup4
There are better sensors now, mmwave, detect presence without arm waving.
We have them in the kitchen. Very useful when entering with hands full of stuff, or it becomes dark whilst mid-cooking.
Guests always like wall switches so we kept them too.
We have them in the kitchen. Very useful when entering with hands full of stuff, or it becomes dark whilst mid-cooking.
Guests always like wall switches so we kept them too.
December 8, 2025 at 12:37 PM
There are better sensors now, mmwave, detect presence without arm waving.
We have them in the kitchen. Very useful when entering with hands full of stuff, or it becomes dark whilst mid-cooking.
Guests always like wall switches so we kept them too.
We have them in the kitchen. Very useful when entering with hands full of stuff, or it becomes dark whilst mid-cooking.
Guests always like wall switches so we kept them too.