OASIS: Optimized Lightweight Autoencoder System for Distributed In-Sensor computing | Paper Citation Record

Observation 85a7bc10-6168-43c5-bb96-5ce53e99ae1f · outbound

This paper cites Deep learning-based computer vision for surveillance in its: Evaluation of state-of-the-art methods.

OASIS: Optimized Lightweight Autoencoder System for Distributed In-Sensor computing Deep learning-based computer vision for surveillance in its: Evaluation of state-of-the-art methods

Reference 1

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Observation 5a5412b6-7150-498d-bae0-1377eb3729af · outbound

This paper cites How computer vision can facilitate flood management: A systematic review.

OASIS: Optimized Lightweight Autoencoder System for Distributed In-Sensor computing How computer vision can facilitate flood management: A systematic review

Reference 2

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Observation aed3392a-f70c-49f2-8bb4-1eae28557187 · outbound

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OASIS: Optimized Lightweight Autoencoder System for Distributed In-Sensor computing Unresolved cited work

Reference 3

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Observation a291fc41-2050-4c85-9764-ae26674276c9 · outbound

This paper cites Near-sensor distributed dnn processing for aug- mented and virtual reality.

OASIS: Optimized Lightweight Autoencoder System for Distributed In-Sensor computing Near-sensor distributed dnn processing for aug- mented and virtual reality

Reference 4

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Observation 07464c75-4dcd-4ba1-bade-ca9347c4db40 · outbound

This paper cites https://www.sony.com/en/SonyInfo/News/Press/ 202005/20-037E/, 2020.

OASIS: Optimized Lightweight Autoencoder System for Distributed In-Sensor computing https://www.sony.com/en/SonyInfo/News/Press/ 202005/20-037E/, 2020

Reference 5

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Observation 4101ca01-1d84-41e6-97e2-4d22b936a649 · outbound

This paper cites Processing near sensor architecture in mixed- signal domain with cmos image sensor of convolutional-kernel-readout method.

OASIS: Optimized Lightweight Autoencoder System for Distributed In-Sensor computing Processing near sensor architecture in mixed- signal domain with cmos image sensor of convolutional-kernel-readout method

Reference 6

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Observation 79ed34b0-c698-454e-9786-3d5d2c3616dc · outbound

This paper cites Ultrafast machine vision with 2D material neural network image sensors.

OASIS: Optimized Lightweight Autoencoder System for Distributed In-Sensor computing Ultrafast machine vision with 2D material neural network image sensors

Reference 7

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Observation 91f43314-d1b9-4991-9ccf-8627466575c6 · outbound

This paper cites Fully embedding fast convolutional networks on pixel processor arrays.

OASIS: Optimized Lightweight Autoencoder System for Distributed In-Sensor computing Fully embedding fast convolutional networks on pixel processor arrays

Reference 8

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Observation d74bc96c-5524-4ac0-9aad-bab3429722ea · outbound

This paper cites A reconfigurable convolution-in-pixel CMOS image sensor architecture.

OASIS: Optimized Lightweight Autoencoder System for Distributed In-Sensor computing A reconfigurable convolution-in-pixel CMOS image sensor architecture

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T01:06:56.042302Z

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Observation 02bf5cf0-3b3f-4f78-ad28-54e8c62c8262 · outbound

This paper cites Integrated pixel and two-terminal non- volatile memory cell and an array of cells for deep in-sensor, in-memory computing, December 7 2021.

OASIS: Optimized Lightweight Autoencoder System for Distributed In-Sensor computing Integrated pixel and two-terminal non- volatile memory cell and an array of cells for deep in-sensor, in-memory computing, December 7 2021

Reference 10

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Observation fada871a-98f3-4342-8fc9-500653a73117 · outbound

This paper cites Pisa: A non-volatile processing-in-sensor accel- erator for imaging systems.

OASIS: Optimized Lightweight Autoencoder System for Distributed In-Sensor computing Pisa: A non-volatile processing-in-sensor accel- erator for imaging systems

Reference 11

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Observation 60b5e75c-2d5d-4cbb-825d-b431b18378a2 · outbound

This paper cites P2M-DeTrack: Processing-in-pixel-in-memory for energy-efficient and real-time multi-object detection and tracking.

OASIS: Optimized Lightweight Autoencoder System for Distributed In-Sensor computing P2M-DeTrack: Processing-in-pixel-in-memory for energy-efficient and real-time multi-object detection and tracking

Reference 12

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This paper cites P2M: A processing-in-pixel-in-memory paradigm for resource-constrained TinyML applications.

OASIS: Optimized Lightweight Autoencoder System for Distributed In-Sensor computing P2M: A processing-in-pixel-in-memory paradigm for resource-constrained TinyML applications

Reference 13

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Observation d1c39643-f763-4568-a87f-b62e173564b5 · outbound

This paper cites Voltage-Controlled Magnetic Tunnel Junction based ADC-less Global Shutter Processing-in-Pixel for Extreme-Edge Intelligence.

OASIS: Optimized Lightweight Autoencoder System for Distributed In-Sensor computing Voltage-Controlled Magnetic Tunnel Junction based ADC-less Global Shutter Processing-in-Pixel for Extreme-Edge Intelligence

Reference 14

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This paper cites Beerel, and Akhilesh R.

OASIS: Optimized Lightweight Autoencoder System for Distributed In-Sensor computing Beerel, and Akhilesh R

Reference 15

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Observation 6bc50df2-e62b-4b42-b96a-0d42c6a0a388 · outbound

This paper cites Distributed on-sensor compute system for AR/VR devices: A semi-analytical simulation framework for power estimation.

OASIS: Optimized Lightweight Autoencoder System for Distributed In-Sensor computing Distributed on-sensor compute system for AR/VR devices: A semi-analytical simulation framework for power estimation

Reference 16

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Observation add20084-45f1-452e-86e3-01f1c2d6e323 · outbound

This paper cites Estimating power, performance, and area for on-sensor deployment of ar/vr workloads using an analytical frame- work.

OASIS: Optimized Lightweight Autoencoder System for Distributed In-Sensor computing Estimating power, performance, and area for on-sensor deployment of ar/vr workloads using an analytical frame- work

Reference 17

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Observation f2381084-e3bb-4e92-a4c9-d8e2d960df39 · outbound

This paper cites Splitnets: Designing neural architectures for efficient distributed computing on head-mounted systems.

OASIS: Optimized Lightweight Autoencoder System for Distributed In-Sensor computing Splitnets: Designing neural architectures for efficient distributed computing on head-mounted systems

Reference 18

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Observation 3e4a1b32-5c18-4833-9a9e-f60ef25d23e7 · outbound

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OASIS: Optimized Lightweight Autoencoder System for Distributed In-Sensor computing Unresolved cited work

Reference 19

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Observation 700794b3-3fb7-4a18-81cf-dafc9f371e63 · outbound

This paper cites Torfason et al.

OASIS: Optimized Lightweight Autoencoder System for Distributed In-Sensor computing Torfason et al

Reference 20

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Observation 2a20881a-6763-4706-b4ed-a982ed07f233 · outbound

This paper cites Deep residual learning for image recognition.

OASIS: Optimized Lightweight Autoencoder System for Distributed In-Sensor computing Deep residual learning for image recognition

Reference 21

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Observation f67b0ef7-d7bf-455b-8fa9-ef958a14c89a · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows.

OASIS: Optimized Lightweight Autoencoder System for Distributed In-Sensor computing Swin transformer: Hierarchical vision transformer using shifted windows

Reference 22

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Observation 98164d4f-02c4-496b-a2b6-d738fb33e6db · outbound

This paper cites Soft-to-hard vector quantization for end-to-end learning compressible representations.

OASIS: Optimized Lightweight Autoencoder System for Distributed In-Sensor computing Soft-to-hard vector quantization for end-to-end learning compressible representations

Reference 23

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Observation 34846bd2-fa31-4927-8398-606d8c48b159 · outbound

This paper cites Quantization and training of neural networks for efficient integer-arithmetic-only inference.

OASIS: Optimized Lightweight Autoencoder System for Distributed In-Sensor computing Quantization and training of neural networks for efficient integer-arithmetic-only inference

Reference 24

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Observation 56d900fc-25ed-4af5-ba23-a3a287383e63 · outbound

This paper cites Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation.

OASIS: Optimized Lightweight Autoencoder System for Distributed In-Sensor computing Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation

Reference 25

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Observation 5de9e794-29a0-42d6-a55f-8a0c8957acb3 · outbound

This paper cites I-vit: Integer-only quantization for efficient vision transformer inference.

OASIS: Optimized Lightweight Autoencoder System for Distributed In-Sensor computing I-vit: Integer-only quantization for efficient vision transformer inference

Reference 26

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OASIS: Optimized Lightweight Autoencoder System for Distributed In-Sensor computing Unresolved cited work

Reference 27

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Observation efce268f-902b-494f-b7a2-46abe4815084 · outbound

This paper cites Cmos image sensors: Electronic camera-on-a-chip.

OASIS: Optimized Lightweight Autoencoder System for Distributed In-Sensor computing Cmos image sensors: Electronic camera-on-a-chip

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T01:06:55.705878Z

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Observation 23853f78-c8d9-449e-a27d-51ebf43cf558 · outbound

This paper cites Kawahito.

OASIS: Optimized Lightweight Autoencoder System for Distributed In-Sensor computing Kawahito

Reference 29

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This paper cites Hsu et al.

OASIS: Optimized Lightweight Autoencoder System for Distributed In-Sensor computing Hsu et al

Reference 30

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Observation 70abd20f-32a2-4c09-b2e5-a4057351cb1a · outbound

This paper cites Venus: A versatile deep neural network accelerator architecture design for multiple applications.

OASIS: Optimized Lightweight Autoencoder System for Distributed In-Sensor computing Venus: A versatile deep neural network accelerator architecture design for multiple applications

Reference 31

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Observation a97fb828-c0e8-4a1c-b6f6-234db714710a · outbound

This paper cites Jacob, Peter A.

OASIS: Optimized Lightweight Autoencoder System for Distributed In-Sensor computing Jacob, Peter A

Reference 32

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Observation ebcc66cb-b55a-4849-a858-06139c0cdf78 · outbound

This paper cites Jacob, Akhilesh R.

OASIS: Optimized Lightweight Autoencoder System for Distributed In-Sensor computing Jacob, Akhilesh R

Reference 33

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Observation acac4da6-f999-461f-b5da-7fc96704ff2b · outbound

This paper cites Liu and Y.

OASIS: Optimized Lightweight Autoencoder System for Distributed In-Sensor computing Liu and Y

Reference 34

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Observation d708baa8-f002-49fe-9818-42002b016671 · outbound

This paper cites Vivet and A.

OASIS: Optimized Lightweight Autoencoder System for Distributed In-Sensor computing Vivet and A

Reference 35

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Observation 69e3364e-e36d-4e2f-a30c-c0d8e0a09686 · outbound

This paper cites Choi et al.

OASIS: Optimized Lightweight Autoencoder System for Distributed In-Sensor computing Choi et al

Reference 36

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Observation 86d244e0-8212-40a6-8e4e-8fe658792c47 · outbound

This paper cites A 3.0 Gsymbol/s/lane MIPI C-PHY receiver with adaptive level-dependent equalizer for mobile CMOS image sensor.

OASIS: Optimized Lightweight Autoencoder System for Distributed In-Sensor computing A 3.0 Gsymbol/s/lane MIPI C-PHY receiver with adaptive level-dependent equalizer for mobile CMOS image sensor

Reference 37

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Observation adede301-084a-47b7-bd00-4275001d25b9 · outbound

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OASIS: Optimized Lightweight Autoencoder System for Distributed In-Sensor computing Unresolved cited work

Reference 38

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Observation 0c85ae9a-52d5-459f-8282-4266dbef6b5a · outbound

This paper cites Robust 7-nm SRAM design on a predictive PDK.

OASIS: Optimized Lightweight Autoencoder System for Distributed In-Sensor computing Robust 7-nm SRAM design on a predictive PDK

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T01:06:55.492319Z

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Observation 7956cbcd-6502-4a06-9a95-948202b41f6f · outbound

This paper cites Low power text compression for huffman coding using altera FPGA.

OASIS: Optimized Lightweight Autoencoder System for Distributed In-Sensor computing Low power text compression for huffman coding using altera FPGA

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T01:06:55.473335Z

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Observation 962a9690-a6c9-420c-9526-af9e0522596c · outbound

This paper cites Visual Wake Words Dataset.

OASIS: Optimized Lightweight Autoencoder System for Distributed In-Sensor computing Visual Wake Words Dataset

Reference 41

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Observation 9a1c66da-d882-4612-ada2-3aa693727c51 · outbound

This paper cites Real-time gaze tracking with event-driven eye segmenta- tion.

OASIS: Optimized Lightweight Autoencoder System for Distributed In-Sensor computing Real-time gaze tracking with event-driven eye segmenta- tion

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T01:06:55.450386Z

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Observation 283379a0-93c3-443b-ba4c-57fb309d718a · outbound

This paper cites A hand pose tracking benchmark from stereo matching.

OASIS: Optimized Lightweight Autoencoder System for Distributed In-Sensor computing A hand pose tracking benchmark from stereo matching

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T01:06:55.431112Z

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Observation 5f704959-4a0a-4a39-800c-9f1e75d9667c · outbound

This paper cites Megatrack: monochrome egocentric articulated hand-tracking for virtual reality.

OASIS: Optimized Lightweight Autoencoder System for Distributed In-Sensor computing Megatrack: monochrome egocentric articulated hand-tracking for virtual reality

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T01:06:55.411936Z

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Observation f9346832-904c-4ad1-b994-b2fe42fa46f3 · outbound

This paper cites OpenEDS2020: Open Eyes Dataset.

OASIS: Optimized Lightweight Autoencoder System for Distributed In-Sensor computing OpenEDS2020: Open Eyes Dataset

Reference 45

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Observation 423473ff-5ebe-4436-a60c-0633e02b8f36 · outbound

This paper cites Energy-Efficient & Real-Time Computer Vision with Intelligent Skipping via Reconfigurable CMOS Image Sensors.

OASIS: Optimized Lightweight Autoencoder System for Distributed In-Sensor computing Energy-Efficient & Real-Time Computer Vision with Intelligent Skipping via Reconfigurable CMOS Image Sensors

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-16T01:06:55.080596Z

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Observation 06d96b5a-a54f-4472-a4d4-f0d5f19057e2 · outbound

This paper cites Utilizing direct photocurrent computation and 2d kernel scheduling to improve in-sensor-processing efficiency.

OASIS: Optimized Lightweight Autoencoder System for Distributed In-Sensor computing Utilizing direct photocurrent computation and 2d kernel scheduling to improve in-sensor-processing efficiency

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T01:06:55.392309Z

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Observation 89b2a41d-d79c-4248-b2fa-cfe86d84edc5 · outbound

This paper cites A Reconfigurable Convolution-in-Pixel CMOS Image Sensor Architecture.

OASIS: Optimized Lightweight Autoencoder System for Distributed In-Sensor computing A Reconfigurable Convolution-in-Pixel CMOS Image Sensor Architecture

Reference 48

Resolution: verified exact; local_arxiv, observed 2026-08-16T01:06:55.172843Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f7d44a53-d091-4333-84bd-99d7f8ab6171 · outbound

This paper cites Xu and et al.

OASIS: Optimized Lightweight Autoencoder System for Distributed In-Sensor computing Xu and et al

Reference 49

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Observation 7439d6a0-b2d3-4b7a-9974-73c8c1164d97 · outbound

This paper cites MR-PIPA: An integrated multilevel RRAM (HfOx)-Based processing-in-pixel accelerator.

OASIS: Optimized Lightweight Autoencoder System for Distributed In-Sensor computing MR-PIPA: An integrated multilevel RRAM (HfOx)-Based processing-in-pixel accelerator

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T01:06:55.348133Z

Source-reported events for the cited work

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Observation 2310aaa8-50f9-4c0b-86c7-12c4a578608b · outbound

This paper cites PiPSim: A behavior-level modeling tool for CNN processing-in-pixel accelerators.

OASIS: Optimized Lightweight Autoencoder System for Distributed In-Sensor computing PiPSim: A behavior-level modeling tool for CNN processing-in-pixel accelerators

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T01:06:55.326725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ca101b9e-1938-4705-811e-837ca6d010d6 · outbound

This paper cites an unresolved cited work.

OASIS: Optimized Lightweight Autoencoder System for Distributed In-Sensor computing Unresolved cited work

Reference 52

Resolution: unresolved; raw_fallback, observed 2026-08-16T01:06:55.307503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers