ArticleNature communications2025
In-sensor compressing via programmable optoelectronic sensors based on van der Waals heterostructures for intelligent machine vision.
Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.
What it found
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
16 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Advancements in Machine Learning-Assisted Flexible Electronics: Technologies, Applications, and Future Prospects.Biosensors · 2026Pooled it
- Wafer-scale 2D semimetal heterostructures enabling mid-infrared motion tracking with in-sensor perceptual compression.Science advances · 2026Article
- Emerging Multimodal Artificial Sensory Fusion Paradigms Toward Advanced Embodied Intelligence.Advanced materials (Deerfield Beach, Fla.) · 2026Review
- End-to-end all-optical in-sensor computing system using photonic integrated circuits.Science advances · 2026Article
- Neuromorphic In-Memory Computing for Marine Visual-Auditory Perception.Advanced materials (Deerfield Beach, Fla.) · 2026Article
- Color and orientation feature-attention sensors for efficient recognition.Science advances · 2026Article
- Reconfigurable ferroelectric transistor array for embodied neuromorphic vision with hardware-native sensing, computing, and activation.Science advances · 2026Article
- Neuromorphic Near-Sensor and In-Sensor Computing Enabled by Next-Generation Material-Based Sensors.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Extreme Illuminated Vision Processing with a Graded Alloyed Perovskite In-sensor Computing Network.Nature communications · 2026Article
- Retinocortical in-sensor neuromorphic vision platform for NIR-augmented artificial vision.Nature communications · 2026Article
- Giant Switchable Remanent Polarization and Photocurrent in Ferroelectric Thin Film Photomemristor for In Situ Training.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Band Engineering and Structural-Geometrical Engineering in 2D/3D van der Waals Heterostructures for Advanced Photodetection and Intelligent Sensing.Nano-micro letters · 2026Review
- Edge machine learning over IoT for chipless RFID environmental sensing in smart agriculture.Scientific reports · 2026Article
- A reconfigurable photosensitive split-floating-gate memory for neuromorphic computing and nonlinear activation.Nature communications · 2026Article
- Adaptive spatial-temporal information processing based on in-memory attention-inspired devices.Nature communications · 2025Article
- Invited Paper: Security Under the Lens: Vulnerabilities in In-Sensor Computing Systems.ICCAD. IEEE/ACM International Conference on Computer-Aided Design · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
17 authors.
Funding
Abstract
Efficiently capturing multidimensional signals containing spectral and temporal information is crucial for intelligent machine vision. Although in-sensor computing shows promise for efficient visual processing by reducing data transfer, its capability to compress temporal/spectral data is rarely reported. Here we demonstrate a programmable two-dimensional (2D) heterostructure-based optoelectronic sensor integrating sensing, memory, and computation for in-sensor data compression. Our 2D sensor captured and memorized/encoded optical signals, leading to in-device snapshot compression of dynamic videos and three-dimensional spectral data with a compression ratio of 8:1. The reconstruction quality, indicated by a peak signal-to-noise ratio value of 15.81 dB, is comparable to the 16.21 dB achieved through software. Meanwhile, the compressed action videos (in the form of 2D images) preserve all semantic information and can be accurately classified using in-sensor convolution without decompression, achieving accuracy on par with uncompressed videos (93.18% vs 83.43%). Our 2D optoelectronic sensors promote the development of efficient intelligent vision systems at the edge.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.