Towards Accurate and Efficient 3D Object Detection for Autonomous Driving: A Mixture of Experts Computing System on Edge | Paper Citation Record

Observation bbb5ef24-e56f-483b-ba7e-0b6fdec5a376 · outbound

This paper cites Haque, Lingjia Tang, and Jason Mars.

Towards Accurate and Efficient 3D Object Detection for Autonomous Driving: A Mixture of Experts Computing System on Edge Haque, Lingjia Tang, and Jason Mars

Reference 1

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Observation bb2a4c32-9ec0-4a0a-983d-b974b99f0550 · outbound

This paper cites Multimodal end-to-end autonomous driving.

Towards Accurate and Efficient 3D Object Detection for Autonomous Driving: A Mixture of Experts Computing System on Edge Multimodal end-to-end autonomous driving

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:01:29.551472Z

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Observation cd37df1b-94e8-478f-a841-a6104ce0114d · outbound

This paper cites Voxel R-CNN: Towards High Performance Voxel-based 3D Object Detection.

Towards Accurate and Efficient 3D Object Detection for Autonomous Driving: A Mixture of Experts Computing System on Edge Voxel R-CNN: Towards High Performance Voxel-based 3D Object Detection

Reference 3

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Observation 896dfed8-19d4-4fd8-95f2-2b9660b4ae32 · outbound

This paper cites Vlm2scene: Self-supervised image-text-lidar learning with foundation models for autonomous driving scene understanding.

Towards Accurate and Efficient 3D Object Detection for Autonomous Driving: A Mixture of Experts Computing System on Edge Vlm2scene: Self-supervised image-text-lidar learning with foundation models for autonomous driving scene understanding

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:01:29.545138Z

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Observation 5660f4fb-eb59-4c97-b7f7-a68c786bb91f · outbound

This paper cites Optimizing fpga-based accelerator design for deep convolutional neural networks.

Towards Accurate and Efficient 3D Object Detection for Autonomous Driving: A Mixture of Experts Computing System on Edge Optimizing fpga-based accelerator design for deep convolutional neural networks

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:01:29.539635Z

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This paper cites {TVM}: An automated {End- to-End} optimizing compiler for deep learning.

Towards Accurate and Efficient 3D Object Detection for Autonomous Driving: A Mixture of Experts Computing System on Edge {TVM}: An automated {End- to-End} optimizing compiler for deep learning

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:01:29.531839Z

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Observation ba38d7c3-7871-4a3b-98a7-d4091d2bba60 · outbound

This paper cites Ace: Ally complementary experts for solving long-tailed recognition in one-shot.

Towards Accurate and Efficient 3D Object Detection for Autonomous Driving: A Mixture of Experts Computing System on Edge Ace: Ally complementary experts for solving long-tailed recognition in one-shot

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:01:29.524416Z

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Observation 94f14898-8baa-4c35-bfa3-9b446b7f18bd · outbound

This paper cites Uni- moe: Scaling unified multimodal llms with mixture of ex- perts.

Towards Accurate and Efficient 3D Object Detection for Autonomous Driving: A Mixture of Experts Computing System on Edge Uni- moe: Scaling unified multimodal llms with mixture of ex- perts

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:01:29.518399Z

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Observation 1403e769-473c-462d-b132-79e322711c48 · outbound

This paper cites Cumo: Scaling multimodal llm with co-upcycled mixture- of-experts.

Towards Accurate and Efficient 3D Object Detection for Autonomous Driving: A Mixture of Experts Computing System on Edge Cumo: Scaling multimodal llm with co-upcycled mixture- of-experts

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:01:29.512285Z

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Observation 5f04faa6-45b5-4785-8dbb-2324ae252561 · outbound

This paper cites A Survey on Mixture of Experts in Large Language Models.

Towards Accurate and Efficient 3D Object Detection for Autonomous Driving: A Mixture of Experts Computing System on Edge A Survey on Mixture of Experts in Large Language Models

Reference 10

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Observation 61dbc738-e621-4ac1-8929-fe1b4f02b81b · outbound

This paper cites Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts.

Towards Accurate and Efficient 3D Object Detection for Autonomous Driving: A Mixture of Experts Computing System on Edge Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts

Reference 11

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Observation 8e5341b7-536e-46e5-8b90-21ddb068f966 · outbound

This paper cites FastMoE: A Fast Mixture-of-Expert Training System.

Towards Accurate and Efficient 3D Object Detection for Autonomous Driving: A Mixture of Experts Computing System on Edge FastMoE: A Fast Mixture-of-Expert Training System

Reference 12

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Observation a3f420c1-d56f-4ef5-bc1e-984953c8a825 · outbound

This paper cites Qi, Xinlei Chen, Or Litany, and Leonidas J.

Towards Accurate and Efficient 3D Object Detection for Autonomous Driving: A Mixture of Experts Computing System on Edge Qi, Xinlei Chen, Or Litany, and Leonidas J

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:01:29.505907Z

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Observation d86dad4b-a090-43b4-ad8b-1bd4cb776bf0 · outbound

This paper cites From Points to Parts: 3D Object Detection from Point Cloud with Part-aware and Part-aggregation Network.

Towards Accurate and Efficient 3D Object Detection for Autonomous Driving: A Mixture of Experts Computing System on Edge From Points to Parts: 3D Object Detection from Point Cloud with Part-aware and Part-aggregation Network

Reference 14

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Observation 8aaef5a1-8d39-43e5-8d25-eaedacfa018a · outbound

This paper cites Lang, Sourabh V ora, Holger Caesar, Lubing Zhou, Jiong Yang, and Oscar Beijbom.

Towards Accurate and Efficient 3D Object Detection for Autonomous Driving: A Mixture of Experts Computing System on Edge Lang, Sourabh V ora, Holger Caesar, Lubing Zhou, Jiong Yang, and Oscar Beijbom

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:01:29.499405Z

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Observation dc7a8c4a-e58e-4586-8bf9-7659a6ed6a1d · outbound

This paper cites V oxelnet: End-to-end learning for point cloud based 3d object detection.

Towards Accurate and Efficient 3D Object Detection for Autonomous Driving: A Mixture of Experts Computing System on Edge V oxelnet: End-to-end learning for point cloud based 3d object detection

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:01:29.494266Z

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Observation 5fde4528-f46c-4d85-9e75-d19d4db7a8de · outbound

This paper cites Pv-rcnn: Point- voxel feature set abstraction for 3d object detection.

Towards Accurate and Efficient 3D Object Detection for Autonomous Driving: A Mixture of Experts Computing System on Edge Pv-rcnn: Point- voxel feature set abstraction for 3d object detection

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:01:29.485943Z

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Observation de57fc8e-936f-4c9c-9272-df5d68a91e3e · outbound

This paper cites Center- based 3d object detection and tracking.

Towards Accurate and Efficient 3D Object Detection for Autonomous Driving: A Mixture of Experts Computing System on Edge Center- based 3d object detection and tracking

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:01:29.479335Z

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Observation 7b8b6c13-e1d1-4da6-9583-d05503bfcd53 · outbound

This paper cites 3dssd: Point-based 3d single stage object detector.

Towards Accurate and Efficient 3D Object Detection for Autonomous Driving: A Mixture of Experts Computing System on Edge 3dssd: Point-based 3d single stage object detector

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:01:29.473268Z

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Observation 74969964-ec85-4c4f-ac8f-dc2dc29dfc8b · outbound

This paper cites Full waveform lidar for adverse weather conditions.

Towards Accurate and Efficient 3D Object Detection for Autonomous Driving: A Mixture of Experts Computing System on Edge Full waveform lidar for adverse weather conditions

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:01:29.465770Z

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Observation 199e8fa5-5a09-49ba-aa30-dccaeb75d8fd · outbound

This paper cites What happens for a tof lidar in fog? IEEE Trans- actions on Intelligent Transportation Systems, 22(11):6670– 6681, 2020.

Towards Accurate and Efficient 3D Object Detection for Autonomous Driving: A Mixture of Experts Computing System on Edge What happens for a tof lidar in fog? IEEE Trans- actions on Intelligent Transportation Systems, 22(11):6670– 6681, 2020

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:01:29.458755Z

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Observation ac018d1e-4baf-4335-b1ae-535aa8da1edf · outbound

This paper cites Self-supervised sparse-to-dense: Self-supervised depth completion from lidar and monocular camera.

Towards Accurate and Efficient 3D Object Detection for Autonomous Driving: A Mixture of Experts Computing System on Edge Self-supervised sparse-to-dense: Self-supervised depth completion from lidar and monocular camera

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:01:29.452908Z

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Observation 620ea38c-9134-42fd-ba34-351567daae79 · outbound

This paper cites Ep- net: Enhancing point features with image semantics for 3d object detection.

Towards Accurate and Efficient 3D Object Detection for Autonomous Driving: A Mixture of Experts Computing System on Edge Ep- net: Enhancing point features with image semantics for 3d object detection

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:01:29.446800Z

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Observation 6eb0f6e4-8537-401a-9b66-5d55297d6a38 · outbound

This paper cites Le, Alan Yuille, and Mingxing Tan.

Towards Accurate and Efficient 3D Object Detection for Autonomous Driving: A Mixture of Experts Computing System on Edge Le, Alan Yuille, and Mingxing Tan

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:01:29.440568Z

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Observation 44ec3e76-5e0b-4289-b61b-ed70123cabb7 · outbound

This paper cites Unifying voxel-based representation with transformer for 3d object detection.

Towards Accurate and Efficient 3D Object Detection for Autonomous Driving: A Mixture of Experts Computing System on Edge Unifying voxel-based representation with transformer for 3d object detection

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:01:29.433346Z

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Observation a1d58498-5153-4aec-8e32-c1c8baccf730 · outbound

This paper cites Ppf-det: Point-pixel fusion for multi-modal 3d object detection.

Towards Accurate and Efficient 3D Object Detection for Autonomous Driving: A Mixture of Experts Computing System on Edge Ppf-det: Point-pixel fusion for multi-modal 3d object detection

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:01:29.425317Z

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Observation 85262ea7-0fce-45ee-9cb8-26c787effbfe · outbound

This paper cites RoboFusion: Towards Robust Multi-Modal 3D Object Detection via SAM.

Towards Accurate and Efficient 3D Object Detection for Autonomous Driving: A Mixture of Experts Computing System on Edge RoboFusion: Towards Robust Multi-Modal 3D Object Detection via SAM

Reference 27

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This paper cites Machine learn- ing in compiler optimization.

Towards Accurate and Efficient 3D Object Detection for Autonomous Driving: A Mixture of Experts Computing System on Edge Machine learn- ing in compiler optimization

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:01:29.418586Z

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Observation 0a834183-a023-4625-ad53-4790cc0db25b · outbound

This paper cites Au- tomatic feature generation for machine learning–based opti- mising compilation.

Towards Accurate and Efficient 3D Object Detection for Autonomous Driving: A Mixture of Experts Computing System on Edge Au- tomatic feature generation for machine learning–based opti- mising compilation

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:01:29.411367Z

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Observation 7ce7e0ff-eaca-4ea4-b495-3481226c98c9 · outbound

This paper cites NVIDIA TensorRT Developer Guide,.

Towards Accurate and Efficient 3D Object Detection for Autonomous Driving: A Mixture of Experts Computing System on Edge NVIDIA TensorRT Developer Guide,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:01:29.402675Z

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Observation cc833ef5-22b2-4333-bc5e-1bca210438c2 · outbound

This paper cites XLA: Compiling Machine Learning for Peak Performance, 2020.

Towards Accurate and Efficient 3D Object Detection for Autonomous Driving: A Mixture of Experts Computing System on Edge XLA: Compiling Machine Learning for Peak Performance, 2020

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:01:29.385653Z

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Observation 2583ce7d-3690-44e5-a444-e9a32dff731a · outbound

This paper cites Onnx: Open neural network exchange.

Towards Accurate and Efficient 3D Object Detection for Autonomous Driving: A Mixture of Experts Computing System on Edge Onnx: Open neural network exchange

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:01:29.379217Z

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Observation e5a4ab86-db46-4c57-a95b-2a97e0982502 · outbound

This paper cites U- net: Convolutional networks for biomedical image segmen- tation.

Towards Accurate and Efficient 3D Object Detection for Autonomous Driving: A Mixture of Experts Computing System on Edge U- net: Convolutional networks for biomedical image segmen- tation

Reference 33

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Observation 83ad18dd-19c2-4836-8b82-c8c900325146 · outbound

This paper cites Adaptive mixtures of local experts.Neu- ral computation, 3(1):79–87, 1991.

Towards Accurate and Efficient 3D Object Detection for Autonomous Driving: A Mixture of Experts Computing System on Edge Adaptive mixtures of local experts.Neu- ral computation, 3(1):79–87, 1991

Reference 34

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This paper cites Second: Sparsely em- bedded convolutional detection.

Towards Accurate and Efficient 3D Object Detection for Autonomous Driving: A Mixture of Experts Computing System on Edge Second: Sparsely em- bedded convolutional detection

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:01:29.364864Z

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Observation de6337c6-0940-4f6c-b60c-973385d02375 · outbound

This paper cites Communication complexity and parallel computing.

Towards Accurate and Efficient 3D Object Detection for Autonomous Driving: A Mixture of Experts Computing System on Edge Communication complexity and parallel computing

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:01:29.356711Z

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Observation e4fcd392-5485-4b44-9521-835379d21381 · outbound

This paper cites Are we ready for autonomous driving? the kitti vision benchmark suite.

Towards Accurate and Efficient 3D Object Detection for Autonomous Driving: A Mixture of Experts Computing System on Edge Are we ready for autonomous driving? the kitti vision benchmark suite

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:01:29.348909Z

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Observation bc5844fd-de17-41b5-a068-04f5243d054c · outbound

This paper cites nuscenes: A multi- modal dataset for autonomous driving.

Towards Accurate and Efficient 3D Object Detection for Autonomous Driving: A Mixture of Experts Computing System on Edge nuscenes: A multi- modal dataset for autonomous driving

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-06T20:01:29.146650Z

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Observation df3dcfa5-7a70-4338-8b39-5aaa0304dc60 · outbound

This paper cites Introducing kolmogorov–smirnov tests under uncertainty: an application to radioactive data.

Towards Accurate and Efficient 3D Object Detection for Autonomous Driving: A Mixture of Experts Computing System on Edge Introducing kolmogorov–smirnov tests under uncertainty: an application to radioactive data

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:01:29.336895Z

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Observation 54718ee6-e001-402d-86f9-23740c79e7e6 · outbound

This paper cites M3detr: Multi- representation, multi-scale, mutual-relation 3d object detec- tion with transformers.

Towards Accurate and Efficient 3D Object Detection for Autonomous Driving: A Mixture of Experts Computing System on Edge M3detr: Multi- representation, multi-scale, mutual-relation 3d object detec- tion with transformers

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:01:29.329466Z

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Observation 46b8dfa9-0ca2-4cc7-857d-d34facfc9b0c · outbound

This paper cites Pv-rcnn: Point- voxel feature set abstraction for 3d object detection.

Towards Accurate and Efficient 3D Object Detection for Autonomous Driving: A Mixture of Experts Computing System on Edge Pv-rcnn: Point- voxel feature set abstraction for 3d object detection

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:01:29.315199Z

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Observation 7a578fc0-cede-45c2-aa2e-2b33fc19cc96 · outbound

This paper cites Gle-net: A global and local ensemble network for aerial object detection.

Towards Accurate and Efficient 3D Object Detection for Autonomous Driving: A Mixture of Experts Computing System on Edge Gle-net: A global and local ensemble network for aerial object detection

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:01:29.307610Z

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Observation 8a151ca7-112e-43f6-aef9-85b85b287421 · outbound

This paper cites From points to parts: 3d object detection from point cloud with part-aware and part-aggregation net- work.

Towards Accurate and Efficient 3D Object Detection for Autonomous Driving: A Mixture of Experts Computing System on Edge From points to parts: 3d object detection from point cloud with part-aware and part-aggregation net- work

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:01:29.301402Z

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Observation c6f2492f-a893-4cd8-a7cf-c40f29fa299f · outbound

This paper cites 3onet: 3d detector for occluded object under obstructed conditions.

Towards Accurate and Efficient 3D Object Detection for Autonomous Driving: A Mixture of Experts Computing System on Edge 3onet: 3d detector for occluded object under obstructed conditions

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:01:29.292810Z

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Observation 282edbe6-31c0-48a1-98cd-c305a0a049eb · outbound

This paper cites Logonet: Towards accurate 3d object detection with local-to-global cross-modal fusion.

Towards Accurate and Efficient 3D Object Detection for Autonomous Driving: A Mixture of Experts Computing System on Edge Logonet: Towards accurate 3d object detection with local-to-global cross-modal fusion

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:01:29.285870Z

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Observation 8bfaa18c-6931-4295-82f9-e9e6e634cc76 · outbound

This paper cites V oxel field fusion for 3d object detection.

Towards Accurate and Efficient 3D Object Detection for Autonomous Driving: A Mixture of Experts Computing System on Edge V oxel field fusion for 3d object detection

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:01:29.278598Z

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Observation 0e7ba952-d483-4984-ba61-4062750a5ff9 · outbound

This paper cites Cat-det: Con- trastively augmented transformer for multi-modal 3d object detection.

Towards Accurate and Efficient 3D Object Detection for Autonomous Driving: A Mixture of Experts Computing System on Edge Cat-det: Con- trastively augmented transformer for multi-modal 3d object detection

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:01:29.270206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 82c606f2-a93c-43e2-a8da-5fe4255dad2c · outbound

This paper cites Transformation-equivariant 3d object detection for autonomous driving.

Towards Accurate and Efficient 3D Object Detection for Autonomous Driving: A Mixture of Experts Computing System on Edge Transformation-equivariant 3d object detection for autonomous driving

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:01:29.262340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1a3ba178-5b7f-457a-9e2a-d2742f9078cf · outbound

This paper cites an unresolved cited work.

Towards Accurate and Efficient 3D Object Detection for Autonomous Driving: A Mixture of Experts Computing System on Edge Unresolved cited work

Reference 49

Resolution: unresolved; raw_fallback, observed 2026-08-06T20:01:29.254717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation cf6d000a-217b-44ba-9ec5-e14b2a8f19d1 · outbound

This paper cites Focal- former3d: focusing on hard instance for 3d object detection.

Towards Accurate and Efficient 3D Object Detection for Autonomous Driving: A Mixture of Experts Computing System on Edge Focal- former3d: focusing on hard instance for 3d object detection

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-06T20:01:29.176073Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 28792fc7-388c-4ab4-a6d0-d4dd30e1858a · outbound

This paper cites Rus, and Song Han.

Towards Accurate and Efficient 3D Object Detection for Autonomous Driving: A Mixture of Experts Computing System on Edge Rus, and Song Han

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:01:29.244417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2086bc8e-f776-4def-8544-e420d73558ed · outbound

This paper cites an unresolved cited work.

Towards Accurate and Efficient 3D Object Detection for Autonomous Driving: A Mixture of Experts Computing System on Edge Unresolved cited work

Reference 2024

Resolution: parse uncertain; raw_fallback, observed 2026-08-06T20:01:29.396326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers