Opto-ViT: Architecting a Near-Sensor Region of Interest-Aware Vision Transformer Accelerator with Silicon Photonics | Paper Citation Record

Observation a9981bf9-03ee-4315-8d04-b909712aca70 · outbound

This paper cites A 100,000 fps vision sensor with embedded 535gops/w 256 × 256 simd processor array,.

Opto-ViT: Architecting a Near-Sensor Region of Interest-Aware Vision Transformer Accelerator with Silicon Photonics A 100,000 fps vision sensor with embedded 535gops/w 256 × 256 simd processor array,

Reference 1

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Observation 67a69aca-530f-44e2-9e70-54e28b3deccf · outbound

This paper cites A 0.5-v real-time computational cmos image sensor with programmable kernel for feature extraction,.

Opto-ViT: Architecting a Near-Sensor Region of Interest-Aware Vision Transformer Accelerator with Silicon Photonics A 0.5-v real-time computational cmos image sensor with programmable kernel for feature extraction,

Reference 2

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Observation d3c592e6-6a0a-408f-8790-3bf4093a4626 · outbound

This paper cites 4.9 a 1ms high-speed vision chip with 3d-stacked 140gops column-parallel pes for spatio-temporal image processing,.

Opto-ViT: Architecting a Near-Sensor Region of Interest-Aware Vision Transformer Accelerator with Silicon Photonics 4.9 a 1ms high-speed vision chip with 3d-stacked 140gops column-parallel pes for spatio-temporal image processing,

Reference 3

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Observation 78e926b7-67f2-41bd-900a-b2a71bcb846b · outbound

This paper cites Cmp-pim: an energy-efficient comparator-based processing-in-memory neural network accelerator,.

Opto-ViT: Architecting a Near-Sensor Region of Interest-Aware Vision Transformer Accelerator with Silicon Photonics Cmp-pim: an energy-efficient comparator-based processing-in-memory neural network accelerator,

Reference 4

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Observation 8bd571f2-94ac-4cb9-b1a4-351d58e115d9 · outbound

This paper cites Deep mapper: A multi-channel single-cycle near-sensor dnn accelerator,.

Opto-ViT: Architecting a Near-Sensor Region of Interest-Aware Vision Transformer Accelerator with Silicon Photonics Deep mapper: A multi-channel single-cycle near-sensor dnn accelerator,

Reference 5

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Observation 3588f65f-3038-4acf-b03f-6cba878f564e · outbound

This paper cites Macsen: A processing-in-sensor architecture integrating mac operations into image sensor for ultra-low-power bnn-based intelligent visual perception,.

Opto-ViT: Architecting a Near-Sensor Region of Interest-Aware Vision Transformer Accelerator with Silicon Photonics Macsen: A processing-in-sensor architecture integrating mac operations into image sensor for ultra-low-power bnn-based intelligent visual perception,

Reference 6

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Observation 3926211c-2fd6-4447-96c0-11908470b4b5 · outbound

This paper cites Senputing: An ultra-low-power always-on vision percep- tion chip featuring the deep fusion of sensing and computing,.

Opto-ViT: Architecting a Near-Sensor Region of Interest-Aware Vision Transformer Accelerator with Silicon Photonics Senputing: An ultra-low-power always-on vision percep- tion chip featuring the deep fusion of sensing and computing,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:54:55.400925Z

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Observation c2c80ebf-a583-4379-b9dc-4dc818199cf2 · outbound

This paper cites Appcip: Energy-efficient approximate convolution- in-pixel scheme for neural network acceleration,.

Opto-ViT: Architecting a Near-Sensor Region of Interest-Aware Vision Transformer Accelerator with Silicon Photonics Appcip: Energy-efficient approximate convolution- in-pixel scheme for neural network acceleration,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:54:55.393670Z

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Observation 7d4ba10b-4690-4e4f-90d3-5f462730e2d8 · outbound

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

Opto-ViT: Architecting a Near-Sensor Region of Interest-Aware Vision Transformer Accelerator with Silicon Photonics Pisa: A non-volatile processing-in-sensor accelerator for imaging systems,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:54:55.386281Z

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Observation 60527b02-c3f0-4eaa-851e-3a605a53b710 · outbound

This paper cites Mr-pipa: An integrated multi-level rram (hfo x) based processing-in-pixel accelerator,.

Opto-ViT: Architecting a Near-Sensor Region of Interest-Aware Vision Transformer Accelerator with Silicon Photonics Mr-pipa: An integrated multi-level rram (hfo x) based processing-in-pixel accelerator,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:54:55.378942Z

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Observation 41453f24-80a1-46f0-b23f-3419eceef0e1 · outbound

This paper cites Pinsim: A processing in-and near-sensor simulator to model intelligent vision sensors,.

Opto-ViT: Architecting a Near-Sensor Region of Interest-Aware Vision Transformer Accelerator with Silicon Photonics Pinsim: A processing in-and near-sensor simulator to model intelligent vision sensors,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:54:55.371194Z

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This paper cites Apris: Approximate processing reram in-sensor architecture enabling artificial-intelligence-powered edge,.

Opto-ViT: Architecting a Near-Sensor Region of Interest-Aware Vision Transformer Accelerator with Silicon Photonics Apris: Approximate processing reram in-sensor architecture enabling artificial-intelligence-powered edge,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:54:55.363647Z

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Observation 9ac444ee-4de4-477d-bf7e-cdcf5c222c20 · outbound

This paper cites Enabling normally-off in situ computing with a magneto- electric fet-based sram design,.

Opto-ViT: Architecting a Near-Sensor Region of Interest-Aware Vision Transformer Accelerator with Silicon Photonics Enabling normally-off in situ computing with a magneto- electric fet-based sram design,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:54:55.355776Z

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Observation a6591c93-933b-4acf-8cfc-daf4e7eb7a11 · outbound

This paper cites Pixel-level processing: why, what, and how?.

Opto-ViT: Architecting a Near-Sensor Region of Interest-Aware Vision Transformer Accelerator with Silicon Photonics Pixel-level processing: why, what, and how?

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:54:55.348019Z

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Observation 7ef19c02-2eee-46a9-9d91-cd694ab5aeba · outbound

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

Opto-ViT: Architecting a Near-Sensor Region of Interest-Aware Vision Transformer Accelerator with Silicon Photonics A reconfigurable convolution-in-pixel cmos image sensor architecture,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:54:55.339957Z

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Observation 69ce321d-6e9e-4b74-9d35-e9b719adc1f8 · outbound

This paper cites Pipsim: A behavior-level modeling tool for cnn processing-in-pixel accelerators,.

Opto-ViT: Architecting a Near-Sensor Region of Interest-Aware Vision Transformer Accelerator with Silicon Photonics Pipsim: A behavior-level modeling tool for cnn processing-in-pixel accelerators,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:54:55.331603Z

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Observation 01847786-9456-4a4b-b1df-859e3d42be8e · outbound

This paper cites Attention is all you need,.

Opto-ViT: Architecting a Near-Sensor Region of Interest-Aware Vision Transformer Accelerator with Silicon Photonics Attention is all you need,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:54:55.323664Z

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Observation 13c5d268-cc8f-47eb-9a35-aac12da7e294 · outbound

This paper cites Emerging properties in self-supervised vision transformers,.

Opto-ViT: Architecting a Near-Sensor Region of Interest-Aware Vision Transformer Accelerator with Silicon Photonics Emerging properties in self-supervised vision transformers,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:54:55.315824Z

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Observation c201d74d-8d37-42ab-b18d-a08760e76440 · outbound

This paper cites Deepcompress- vit: Rethinking model compression to enhance efficiency of vision transformers at the edge,.

Opto-ViT: Architecting a Near-Sensor Region of Interest-Aware Vision Transformer Accelerator with Silicon Photonics Deepcompress- vit: Rethinking model compression to enhance efficiency of vision transformers at the edge,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:54:55.307727Z

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Observation a13edbca-0e3d-4105-a8b5-d7c402facbea · outbound

This paper cites Vita: A vision transformer inference accelerator for edge applications,.

Opto-ViT: Architecting a Near-Sensor Region of Interest-Aware Vision Transformer Accelerator with Silicon Photonics Vita: A vision transformer inference accelerator for edge applications,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:54:55.299549Z

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Observation acce00b6-559d-44cd-91fe-48add5da2bd1 · outbound

This paper cites Retransformer: Reram-based processing-in-memory architecture for transformer acceleration,.

Opto-ViT: Architecting a Near-Sensor Region of Interest-Aware Vision Transformer Accelerator with Silicon Photonics Retransformer: Reram-based processing-in-memory architecture for transformer acceleration,

Reference 21

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Observation 9b59cd56-5bd2-4b44-b3f9-302c0b056f10 · outbound

This paper cites Tron: Transformer neural network acceleration with non-coherent silicon photonics,.

Opto-ViT: Architecting a Near-Sensor Region of Interest-Aware Vision Transformer Accelerator with Silicon Photonics Tron: Transformer neural network acceleration with non-coherent silicon photonics,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:54:55.286687Z

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Observation 89bd42e0-7128-48d1-b920-7bb234ec31d6 · outbound

This paper cites An energy/illumination-adaptive cmos image sensor with reconfigurable modes of operations,.

Opto-ViT: Architecting a Near-Sensor Region of Interest-Aware Vision Transformer Accelerator with Silicon Photonics An energy/illumination-adaptive cmos image sensor with reconfigurable modes of operations,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:54:55.279659Z

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This paper cites AI edge devices using computing-in-memory and processing-in-sensor: from system to device,.

Opto-ViT: Architecting a Near-Sensor Region of Interest-Aware Vision Transformer Accelerator with Silicon Photonics AI edge devices using computing-in-memory and processing-in-sensor: from system to device,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:54:55.272383Z

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This paper cites A near-sensor processing accelerator for approximate local binary pattern networks,.

Opto-ViT: Architecting a Near-Sensor Region of Interest-Aware Vision Transformer Accelerator with Silicon Photonics A near-sensor processing accelerator for approximate local binary pattern networks,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:54:55.265266Z

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This paper cites Robin: A robust optical binary neural network accelerator,.

Opto-ViT: Architecting a Near-Sensor Region of Interest-Aware Vision Transformer Accelerator with Silicon Photonics Robin: A robust optical binary neural network accelerator,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:54:55.258106Z

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This paper cites Neuro-photonix: Enabling near- sensor neuro-symbolic ai computing on silicon photonics substrate,.

Opto-ViT: Architecting a Near-Sensor Region of Interest-Aware Vision Transformer Accelerator with Silicon Photonics Neuro-photonix: Enabling near- sensor neuro-symbolic ai computing on silicon photonics substrate,

Reference 27

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Observation 5ad2693f-a5e6-475e-a899-09b8eef50b02 · outbound

This paper cites Crosslight: A cross- layer optimized silicon photonic neural network accelerator,.

Opto-ViT: Architecting a Near-Sensor Region of Interest-Aware Vision Transformer Accelerator with Silicon Photonics Crosslight: A cross- layer optimized silicon photonic neural network accelerator,

Reference 28

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Observation d89215e3-8878-47d7-9b17-0f61e3519f7e · outbound

This paper cites Silicon photonics codesign for deep learning,.

Opto-ViT: Architecting a Near-Sensor Region of Interest-Aware Vision Transformer Accelerator with Silicon Photonics Silicon photonics codesign for deep learning,

Reference 29

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Observation 7a03b104-fffa-40d3-be0d-80f3b34c8d46 · outbound

This paper cites Oisa: Architecting an optical in-sensor accelerator for efficient visual computing,.

Opto-ViT: Architecting a Near-Sensor Region of Interest-Aware Vision Transformer Accelerator with Silicon Photonics Oisa: Architecting an optical in-sensor accelerator for efficient visual computing,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:54:55.227510Z

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This paper cites An image is worth 16x16 words: Transformers for image recognition at scale,.

Opto-ViT: Architecting a Near-Sensor Region of Interest-Aware Vision Transformer Accelerator with Silicon Photonics An image is worth 16x16 words: Transformers for image recognition at scale,

Reference 31

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This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Opto-ViT: Architecting a Near-Sensor Region of Interest-Aware Vision Transformer Accelerator with Silicon Photonics BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 32

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Observation 8b1a62e5-fc0e-4979-86f3-1b099d2deaa5 · outbound

This paper cites Holylight: A nanophotonic accelerator for deep learning in data centers,.

Opto-ViT: Architecting a Near-Sensor Region of Interest-Aware Vision Transformer Accelerator with Silicon Photonics Holylight: A nanophotonic accelerator for deep learning in data centers,

Reference 33

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Observation dd597771-936a-4454-ac75-d972b88642e7 · outbound

This paper cites Light- bulb: A photonic-nonvolatile-memory-based accelerator for binarized convolutional neural networks,.

Opto-ViT: Architecting a Near-Sensor Region of Interest-Aware Vision Transformer Accelerator with Silicon Photonics Light- bulb: A photonic-nonvolatile-memory-based accelerator for binarized convolutional neural networks,

Reference 34

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Observation 6b452dd3-6fa4-4148-a305-ef79a12c45e9 · outbound

This paper cites Hardware-software co-design of slimmed optical neural networks,.

Opto-ViT: Architecting a Near-Sensor Region of Interest-Aware Vision Transformer Accelerator with Silicon Photonics Hardware-software co-design of slimmed optical neural networks,

Reference 35

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Observation 234781fd-f73c-44c0-ade6-15f3b151c462 · outbound

This paper cites Lightator: An Optical Near-Sensor Accelerator with Compressive Acquisition Enabling Versatile Image Processing.

Opto-ViT: Architecting a Near-Sensor Region of Interest-Aware Vision Transformer Accelerator with Silicon Photonics Lightator: An Optical Near-Sensor Accelerator with Compressive Acquisition Enabling Versatile Image Processing

Reference 36

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This paper cites Silicon microring resonators,.

Opto-ViT: Architecting a Near-Sensor Region of Interest-Aware Vision Transformer Accelerator with Silicon Photonics Silicon microring resonators,

Reference 37

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This paper cites Reusing softmax hardware unit for gelu computation in transformers,.

Opto-ViT: Architecting a Near-Sensor Region of Interest-Aware Vision Transformer Accelerator with Silicon Photonics Reusing softmax hardware unit for gelu computation in transformers,

Reference 38

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This paper cites [Online].

Opto-ViT: Architecting a Near-Sensor Region of Interest-Aware Vision Transformer Accelerator with Silicon Photonics [Online]

Reference 39

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Observation 9ef3983c-2c7f-4465-8186-1b2a18a207e0 · outbound

This paper cites Synopsys design compiler, product version 14.9.2014,.

Opto-ViT: Architecting a Near-Sensor Region of Interest-Aware Vision Transformer Accelerator with Silicon Photonics Synopsys design compiler, product version 14.9.2014,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:54:55.166021Z

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Observation a3a59dce-bf79-4876-b5de-cae6deb9235d · outbound

This paper cites A case study of signal-to-noise ratio in ring-based optical networks-on-chip,.

Opto-ViT: Architecting a Near-Sensor Region of Interest-Aware Vision Transformer Accelerator with Silicon Photonics A case study of signal-to-noise ratio in ring-based optical networks-on-chip,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:54:55.158439Z

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Observation 0be8404b-aeff-42b2-a224-bb5478e573b8 · outbound

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

Opto-ViT: Architecting a Near-Sensor Region of Interest-Aware Vision Transformer Accelerator with Silicon Photonics Energy-Efficient & Real-Time Computer Vision with Intelligent Skipping via Reconfigurable CMOS Image Sensors

Reference 42

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Observation 2a5d4e65-03e3-461d-98e4-379d1f2eedc0 · outbound

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

Opto-ViT: Architecting a Near-Sensor Region of Interest-Aware Vision Transformer Accelerator with Silicon Photonics Quantization and training of neural networks for efficient integer-arithmetic-only inference,

Reference 43

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

Opto-ViT: Architecting a Near-Sensor Region of Interest-Aware Vision Transformer Accelerator with Silicon Photonics Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation

Reference 44

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

Opto-ViT: Architecting a Near-Sensor Region of Interest-Aware Vision Transformer Accelerator with Silicon Photonics I-vit: Integer-only quantization for efficient vision transformer inference,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:54:55.146108Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d1176881-a22d-4c8d-b9b1-462021c21c57 · outbound

This paper cites ImageNet-21K Pretraining for the Masses.

Opto-ViT: Architecting a Near-Sensor Region of Interest-Aware Vision Transformer Accelerator with Silicon Photonics ImageNet-21K Pretraining for the Masses

Reference 46

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Observation 2906073a-b595-47c0-8d83-ece067603227 · outbound

This paper cites Convolutional deep belief networks on cifar-10,.

Opto-ViT: Architecting a Near-Sensor Region of Interest-Aware Vision Transformer Accelerator with Silicon Photonics Convolutional deep belief networks on cifar-10,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:54:55.138412Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8851a42b-c57e-422b-b048-e2849cdadead · outbound

This paper cites Imagenet: A large-scale hierarchical image database,.

Opto-ViT: Architecting a Near-Sensor Region of Interest-Aware Vision Transformer Accelerator with Silicon Photonics Imagenet: A large-scale hierarchical image database,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:54:55.130397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3b9148f5-2e05-48d8-860f-17f81e54ded8 · outbound

This paper cites Microsoft coco: Common objects in context,.

Opto-ViT: Architecting a Near-Sensor Region of Interest-Aware Vision Transformer Accelerator with Silicon Photonics Microsoft coco: Common objects in context,

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-06T18:54:55.018359Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f59524b-ad90-4a03-b2b1-80f5457d2069 · outbound

This paper cites Exploring plain vision transformer backbones for object detection,.

Opto-ViT: Architecting a Near-Sensor Region of Interest-Aware Vision Transformer Accelerator with Silicon Photonics Exploring plain vision transformer backbones for object detection,

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-06T18:54:55.020475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 821a5815-f125-4f61-90b7-9c7ef7097bc9 · outbound

This paper cites Mask r-cnn,.

Opto-ViT: Architecting a Near-Sensor Region of Interest-Aware Vision Transformer Accelerator with Silicon Photonics Mask r-cnn,

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-06T18:54:55.022680Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3e42be06-f643-4f1b-a345-d556629ba8cc · outbound

This paper cites Imagenet large scale visual recognition challenge,.

Opto-ViT: Architecting a Near-Sensor Region of Interest-Aware Vision Transformer Accelerator with Silicon Photonics Imagenet large scale visual recognition challenge,

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-06T18:54:55.025123Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f88a3965-e6be-4aad-b254-6f641f4429aa · outbound

This paper cites A silicon photonic accelerator for convolutional neural networks with heterogeneous quantization,.

Opto-ViT: Architecting a Near-Sensor Region of Interest-Aware Vision Transformer Accelerator with Silicon Photonics A silicon photonic accelerator for convolutional neural networks with heterogeneous quantization,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:54:55.103785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7cc6204b-a6d9-4cbf-8c71-7394fbcb9888 · outbound

This paper cites Eq-vit: Algorithm-hardware co-design for end-to- end acceleration of real-time vision transformer inference on versal acap architecture,.

Opto-ViT: Architecting a Near-Sensor Region of Interest-Aware Vision Transformer Accelerator with Silicon Photonics Eq-vit: Algorithm-hardware co-design for end-to- end acceleration of real-time vision transformer inference on versal acap architecture,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:54:55.095814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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