Boosting Robustness for All-Weather Self-Supervised Depth Estimation in Autonomous Driving | Paper Citation Record

Observation ae591533-1a8d-415e-874e-8fa98bbed099 · outbound

This paper cites Safedriverag: Towards safe autonomous driving with knowledge graph-based retrieval-augmented generation,.

Boosting Robustness for All-Weather Self-Supervised Depth Estimation in Autonomous Driving Safedriverag: Towards safe autonomous driving with knowledge graph-based retrieval-augmented generation,

Reference 1

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Observation a7eb7edd-881a-4813-90eb-2fdda9070fdf · outbound

This paper cites T2sg: Traffic topology scene graph for topology reasoning in autonomous driving,.

Boosting Robustness for All-Weather Self-Supervised Depth Estimation in Autonomous Driving T2sg: Traffic topology scene graph for topology reasoning in autonomous driving,

Reference 2

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Observation 7e45c46a-e389-4007-9acb-bec390e48ed6 · outbound

This paper cites Improving batch normalization with test-time adaptation for robust object detection in self-driving,.

Boosting Robustness for All-Weather Self-Supervised Depth Estimation in Autonomous Driving Improving batch normalization with test-time adaptation for robust object detection in self-driving,

Reference 3

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Observation 9847482e-d6b9-4789-8b9f-dee5fc250608 · outbound

This paper cites Deep learning- based robust positioning for all-weather autonomous driving,.

Boosting Robustness for All-Weather Self-Supervised Depth Estimation in Autonomous Driving Deep learning- based robust positioning for all-weather autonomous driving,

Reference 4

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Observation 301fafba-37f5-4e04-925b-36b70517854e · outbound

This paper cites Active Exploring like a Pigeon: Reinforcing Spatial Reasoning via Agentic Vision-Language Models.

Boosting Robustness for All-Weather Self-Supervised Depth Estimation in Autonomous Driving Active Exploring like a Pigeon: Reinforcing Spatial Reasoning via Agentic Vision-Language Models

Reference 5

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Observation ba68d7c9-ca45-4df5-bee8-1235113adcf2 · outbound

This paper cites Lift, splat, shoot: Encoding images from arbitrary camera rigs by implicitly unprojecting to 3d,.

Boosting Robustness for All-Weather Self-Supervised Depth Estimation in Autonomous Driving Lift, splat, shoot: Encoding images from arbitrary camera rigs by implicitly unprojecting to 3d,

Reference 6

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Observation f601809b-bf4f-4f7b-89be-39ff13ef7f25 · outbound

This paper cites Digging into self-supervised monocular depth estimation,.

Boosting Robustness for All-Weather Self-Supervised Depth Estimation in Autonomous Driving Digging into self-supervised monocular depth estimation,

Reference 7

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Observation 7ec503a3-294e-4c8d-8090-91f26e8ca9ea · outbound

This paper cites Unsupervised learning of depth and ego-motion from video,.

Boosting Robustness for All-Weather Self-Supervised Depth Estimation in Autonomous Driving Unsupervised learning of depth and ego-motion from video,

Reference 8

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Observation 3cb52f57-0874-4175-8841-e19bc4bac562 · outbound

This paper cites Prodepth: Boosting self-supervised multi-frame monocular depth with probabilistic fusion,.

Boosting Robustness for All-Weather Self-Supervised Depth Estimation in Autonomous Driving Prodepth: Boosting self-supervised multi-frame monocular depth with probabilistic fusion,

Reference 9

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Observation 1e8b8c0f-3f3e-49b3-b64e-dc3516aaf4ba · outbound

This paper cites Monovit: Self-supervised monocular depth estimation with a vision transformer,.

Boosting Robustness for All-Weather Self-Supervised Depth Estimation in Autonomous Driving Monovit: Self-supervised monocular depth estimation with a vision transformer,

Reference 10

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Observation bd4c5ab2-9226-46bb-a29f-282e07597700 · outbound

This paper cites Planedepth: Self-supervised depth estima- tion via orthogonal planes,.

Boosting Robustness for All-Weather Self-Supervised Depth Estimation in Autonomous Driving Planedepth: Self-supervised depth estima- tion via orthogonal planes,

Reference 11

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Observation fa5c1c05-0327-44f5-89d9-b7df8c036df9 · outbound

This paper cites Channel-wise attention-based network for self-supervised monocular depth estimation,.

Boosting Robustness for All-Weather Self-Supervised Depth Estimation in Autonomous Driving Channel-wise attention-based network for self-supervised monocular depth estimation,

Reference 12

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Observation 4507a974-3ece-44e5-8f03-7da6dc799e71 · outbound

This paper cites Disentangling object motion and occlusion for unsupervised multi-frame monocular depth,.

Boosting Robustness for All-Weather Self-Supervised Depth Estimation in Autonomous Driving Disentangling object motion and occlusion for unsupervised multi-frame monocular depth,

Reference 13

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Observation 2bc01163-3594-41fb-bec3-a9b0c5ad74b8 · outbound

This paper cites Lite-mono: A lightweight cnn and transformer architecture for self-supervised monoc- ular depth estimation,.

Boosting Robustness for All-Weather Self-Supervised Depth Estimation in Autonomous Driving Lite-mono: A lightweight cnn and transformer architecture for self-supervised monoc- ular depth estimation,

Reference 14

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Observation f1d6bb65-04d3-411d-bfaf-2dd4118edc10 · outbound

This paper cites Self-supervised monocular depth estimation: Let’s talk about the weather,.

Boosting Robustness for All-Weather Self-Supervised Depth Estimation in Autonomous Driving Self-supervised monocular depth estimation: Let’s talk about the weather,

Reference 15

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Observation 45025937-3dee-4a69-908d-b5362761a024 · outbound

This paper cites Robust monocular depth estimation under challenging conditions,.

Boosting Robustness for All-Weather Self-Supervised Depth Estimation in Autonomous Driving Robust monocular depth estimation under challenging conditions,

Reference 16

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Observation a96c06be-f940-42ea-afc2-355993b07ecd · outbound

This paper cites Robust disentangled counterfactual learning for physical audiovisual commonsense reasoning,.

Boosting Robustness for All-Weather Self-Supervised Depth Estimation in Autonomous Driving Robust disentangled counterfactual learning for physical audiovisual commonsense reasoning,

Reference 17

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Observation d731a83d-f5a4-497c-9b8b-44b285a2b17d · outbound

This paper cites Diffusion Models for Monocular Depth Estimation: Overcoming Challenging Conditions.

Boosting Robustness for All-Weather Self-Supervised Depth Estimation in Autonomous Driving Diffusion Models for Monocular Depth Estimation: Overcoming Challenging Conditions

Reference 18

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Observation be6d5f2f-24dd-46d4-8be7-7c8f477bd1b1 · outbound

This paper cites Weath- erdepth: Curriculum contrastive learning for self-supervised depth esti- mation under adverse weather conditions,.

Boosting Robustness for All-Weather Self-Supervised Depth Estimation in Autonomous Driving Weath- erdepth: Curriculum contrastive learning for self-supervised depth esti- mation under adverse weather conditions,

Reference 19

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Observation 57ddc9d9-02c5-4ee9-811a-7d29a54a9753 · outbound

This paper cites Self-supervised monocular depth estimation for all day images using domain separation,.

Boosting Robustness for All-Weather Self-Supervised Depth Estimation in Autonomous Driving Self-supervised monocular depth estimation for all day images using domain separation,

Reference 20

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Observation b64d21fd-02e1-41df-b340-b5f03cb91a65 · outbound

This paper cites Regu- larizing nighttime weirdness: Efficient self-supervised monocular depth estimation in the dark,.

Boosting Robustness for All-Weather Self-Supervised Depth Estimation in Autonomous Driving Regu- larizing nighttime weirdness: Efficient self-supervised monocular depth estimation in the dark,

Reference 21

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Observation c1d29bf0-7ac9-4756-9dab-d2796c1d2f89 · outbound

This paper cites When the sun goes down: Repairing photometric losses for all-day depth estimation,.

Boosting Robustness for All-Weather Self-Supervised Depth Estimation in Autonomous Driving When the sun goes down: Repairing photometric losses for all-day depth estimation,

Reference 22

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Observation 4b9f0780-0fd2-443a-b76d-05098184520a · outbound

This paper cites Radiate: A radar dataset for automotive perception in bad weather,.

Boosting Robustness for All-Weather Self-Supervised Depth Estimation in Autonomous Driving Radiate: A radar dataset for automotive perception in bad weather,

Reference 23

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Observation a3126c06-e4d9-4aff-954d-a7a1fb8068d5 · outbound

This paper cites Dc-sam: In-context segment anything in images and videos via dual consistency,.

Boosting Robustness for All-Weather Self-Supervised Depth Estimation in Autonomous Driving Dc-sam: In-context segment anything in images and videos via dual consistency,

Reference 24

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Observation 3e7f1afd-2c38-416f-b18a-bdd68afbb0ae · outbound

This paper cites Action quality assessment via hierarchical pose-guided multi-stage contrastive regression,.

Boosting Robustness for All-Weather Self-Supervised Depth Estimation in Autonomous Driving Action quality assessment via hierarchical pose-guided multi-stage contrastive regression,

Reference 25

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Observation 98223f07-b492-43a7-862f-3ce15173c8a9 · outbound

This paper cites Few- shot ensemble learning for video classification with slowfast memory networks,.

Boosting Robustness for All-Weather Self-Supervised Depth Estimation in Autonomous Driving Few- shot ensemble learning for video classification with slowfast memory networks,

Reference 26

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Observation 309983a3-bf36-4319-b942-0076b1764d31 · outbound

This paper cites Depth map prediction from a single image using a multi-scale deep network,.

Boosting Robustness for All-Weather Self-Supervised Depth Estimation in Autonomous Driving Depth map prediction from a single image using a multi-scale deep network,

Reference 27

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Observation 4523dfec-9162-47a2-a90c-dd669ebed49a · outbound

This paper cites Deeper depth prediction with fully convolutional residual networks,.

Boosting Robustness for All-Weather Self-Supervised Depth Estimation in Autonomous Driving Deeper depth prediction with fully convolutional residual networks,

Reference 28

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Observation cdcf28fe-4194-4ded-b322-5e7e1478a345 · outbound

This paper cites Adabins: Depth estimation using adaptive bins,.

Boosting Robustness for All-Weather Self-Supervised Depth Estimation in Autonomous Driving Adabins: Depth estimation using adaptive bins,

Reference 29

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Observation 154c9ffa-849d-49e8-83d1-71a13c9340e6 · outbound

This paper cites From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation.

Boosting Robustness for All-Weather Self-Supervised Depth Estimation in Autonomous Driving From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation

Reference 30

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Observation 40aec58c-e941-49ab-96a5-239cd800d85e · outbound

This paper cites Deep ordinal regression network for monocular depth estimation,.

Boosting Robustness for All-Weather Self-Supervised Depth Estimation in Autonomous Driving Deep ordinal regression network for monocular depth estimation,

Reference 31

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Observation 935d0d14-9f57-4c90-b6d6-c1cf6235c6c5 · outbound

This paper cites Dynamo-depth: fixing unsupervised depth estimation for dynamical scenes,.

Boosting Robustness for All-Weather Self-Supervised Depth Estimation in Autonomous Driving Dynamo-depth: fixing unsupervised depth estimation for dynamical scenes,

Reference 32

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Observation bf40aa8f-bd0d-43ff-b8c3-384fa758ae76 · outbound

This paper cites Towards scale-aware, robust, and generalizable unsupervised monocular depth estimation by integrating imu motion dynamics,.

Boosting Robustness for All-Weather Self-Supervised Depth Estimation in Autonomous Driving Towards scale-aware, robust, and generalizable unsupervised monocular depth estimation by integrating imu motion dynamics,

Reference 33

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Observation 650738ee-61bb-44f2-a8ff-dedd1cacb4d0 · outbound

This paper cites Unsupervised scale-consistent depth and ego-motion learning from monocular video,.

Boosting Robustness for All-Weather Self-Supervised Depth Estimation in Autonomous Driving Unsupervised scale-consistent depth and ego-motion learning from monocular video,

Reference 34

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Observation 6a74c30a-49ca-47c8-a350-012adb6569c3 · outbound

This paper cites Can scale-consistent monocular depth be learned in a self-supervised scale- invariant manner?.

Boosting Robustness for All-Weather Self-Supervised Depth Estimation in Autonomous Driving Can scale-consistent monocular depth be learned in a self-supervised scale- invariant manner?

Reference 35

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Observation 4bab1c70-fb94-41b6-81d0-117edd84be2d · outbound

This paper cites EC-Depth: Exploring the consistency of self-supervised monocular depth estimation in challenging scenes.

Boosting Robustness for All-Weather Self-Supervised Depth Estimation in Autonomous Driving EC-Depth: Exploring the consistency of self-supervised monocular depth estimation in challenging scenes

Reference 36

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Observation a9e2b70b-c987-4f61-ab45-874f341ed66d · outbound

This paper cites Depth: Self- supervised two-frame multi-camera metric depth estimation,.

Boosting Robustness for All-Weather Self-Supervised Depth Estimation in Autonomous Driving Depth: Self- supervised two-frame multi-camera metric depth estimation,

Reference 37

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Observation dec2adb1-47a5-44bf-91d3-cc411b0c8ba8 · outbound

This paper cites Self-supervised multi-frame monocular depth estimation for dynamic scenes,.

Boosting Robustness for All-Weather Self-Supervised Depth Estimation in Autonomous Driving Self-supervised multi-frame monocular depth estimation for dynamic scenes,

Reference 38

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Observation cfb7c890-af9c-48fe-9474-97b431269c66 · outbound

This paper cites Ds-depth: Dynamic and static depth estimation via a fusion cost volume,.

Boosting Robustness for All-Weather Self-Supervised Depth Estimation in Autonomous Driving Ds-depth: Dynamic and static depth estimation via a fusion cost volume,

Reference 39

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Observation bedead2f-df1e-4d50-a07a-eabc57cf28d4 · outbound

This paper cites Sports video captioning via attentive motion representation and group relationship modeling,.

Boosting Robustness for All-Weather Self-Supervised Depth Estimation in Autonomous Driving Sports video captioning via attentive motion representation and group relationship modeling,

Reference 40

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Observation a6dba486-37b7-4f22-94f0-5005b3cddf07 · outbound

This paper cites Semantics-aware spatial- temporal binaries for cross-modal video retrieval,.

Boosting Robustness for All-Weather Self-Supervised Depth Estimation in Autonomous Driving Semantics-aware spatial- temporal binaries for cross-modal video retrieval,

Reference 41

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Observation e267ed48-2017-49a4-8ee2-01ba803108af · outbound

This paper cites Explainable action form assessment by exploiting multimodal chain-of-thoughts reasoning,.

Boosting Robustness for All-Weather Self-Supervised Depth Estimation in Autonomous Driving Explainable action form assessment by exploiting multimodal chain-of-thoughts reasoning,

Reference 42

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Observation 8ff8c8c5-d920-4848-b5ed-658b3159375e · outbound

This paper cites Unikd: Uncertainty-filtered incremental knowledge distillation for neural implicit representation,.

Boosting Robustness for All-Weather Self-Supervised Depth Estimation in Autonomous Driving Unikd: Uncertainty-filtered incremental knowledge distillation for neural implicit representation,

Reference 43

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Observation bead057b-530f-444b-815a-686c22786766 · outbound

This paper cites Class incremental learning with multi-teacher distillation,.

Boosting Robustness for All-Weather Self-Supervised Depth Estimation in Autonomous Driving Class incremental learning with multi-teacher distillation,

Reference 44

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Observation 1fa9e308-6d69-4bda-8ef6-474d1b4f4051 · outbound

This paper cites On the uncertainty of self-supervised monocular depth estimation,.

Boosting Robustness for All-Weather Self-Supervised Depth Estimation in Autonomous Driving On the uncertainty of self-supervised monocular depth estimation,

Reference 45

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Observation 9fcd6347-6a4c-462f-8c14-aef3f388c59a · outbound

This paper cites What uncertainties do we need in bayesian deep learning for computer vision?.

Boosting Robustness for All-Weather Self-Supervised Depth Estimation in Autonomous Driving What uncertainties do we need in bayesian deep learning for computer vision?

Reference 46

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Observation 04840c12-5588-4a99-af3b-2a219bfd803e · outbound

This paper cites Multi-task learning using uncer- tainty to weigh losses for scene geometry and semantics,.

Boosting Robustness for All-Weather Self-Supervised Depth Estimation in Autonomous Driving Multi-task learning using uncer- tainty to weigh losses for scene geometry and semantics,

Reference 47

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Observation 6e75f468-8137-4b35-8875-f02bf00b6715 · outbound

This paper cites Radar-camera pixel depth association for depth completion,.

Boosting Robustness for All-Weather Self-Supervised Depth Estimation in Autonomous Driving Radar-camera pixel depth association for depth completion,

Reference 48

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Observation 88dc007b-08d2-4d75-ad92-19183789e9f1 · outbound

This paper cites Depth estimation from monocular images and sparse radar using deep ordinal regression network,.

Boosting Robustness for All-Weather Self-Supervised Depth Estimation in Autonomous Driving Depth estimation from monocular images and sparse radar using deep ordinal regression network,

Reference 49

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Observation 60217957-7e81-4c01-9b88-24757d4c595b · outbound

This paper cites Depth estimation from camera image and mmwave radar point cloud,.

Boosting Robustness for All-Weather Self-Supervised Depth Estimation in Autonomous Driving Depth estimation from camera image and mmwave radar point cloud,

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-01T07:15:39.812450Z

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Observation 02226030-1393-4263-8233-3e5e5302639c · outbound

This paper cites Sparse Beats Dense: Rethinking Supervision in Radar-Camera Depth Completion.

Boosting Robustness for All-Weather Self-Supervised Depth Estimation in Autonomous Driving Sparse Beats Dense: Rethinking Supervision in Radar-Camera Depth Completion

Reference 51

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Observation ead420b3-49cf-4a69-9c7a-dc0606f9641e · outbound

This paper cites R4dyn: Exploring radar for self-supervised monocular depth estimation of dynamic scenes,.

Boosting Robustness for All-Weather Self-Supervised Depth Estimation in Autonomous Driving R4dyn: Exploring radar for self-supervised monocular depth estimation of dynamic scenes,

Reference 52

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Observation c6934b9e-066c-4734-9fd8-9eecce0da3a4 · outbound

This paper cites Unsupervised self-driving attention prediction via uncertainty mining and knowledge embedding,.

Boosting Robustness for All-Weather Self-Supervised Depth Estimation in Autonomous Driving Unsupervised self-driving attention prediction via uncertainty mining and knowledge embedding,

Reference 53

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Observation e2e15fd6-4cd6-4151-9798-6f7a3db97111 · outbound

This paper cites Multi-source uncer- tainty mining for deep unsupervised saliency detection,.

Boosting Robustness for All-Weather Self-Supervised Depth Estimation in Autonomous Driving Multi-source uncer- tainty mining for deep unsupervised saliency detection,

Reference 54

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Observation 000d325c-1c5a-4acf-9fa5-7037cbd86003 · outbound

This paper cites nuscenes: A multimodal dataset for autonomous driving,.

Boosting Robustness for All-Weather Self-Supervised Depth Estimation in Autonomous Driving nuscenes: A multimodal dataset for autonomous driving,

Reference 55

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Observation 3b876e7f-788f-4a8a-aca7-72199a97c3b3 · outbound

This paper cites Manydepth2: Motion-aware self-supervised monocular depth estimation in dynamic scenes,.

Boosting Robustness for All-Weather Self-Supervised Depth Estimation in Autonomous Driving Manydepth2: Motion-aware self-supervised monocular depth estimation in dynamic scenes,

Reference 56

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Observation b402a4f0-a692-465b-9c6d-aed2198f80b5 · outbound

This paper cites Synthetic-to-real self-supervised robust depth estimation via learning with motion and structure priors,.

Boosting Robustness for All-Weather Self-Supervised Depth Estimation in Autonomous Driving Synthetic-to-real self-supervised robust depth estimation via learning with motion and structure priors,

Reference 57

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Observation 96eb4537-b822-443a-86b5-a167205f17da · outbound

This paper cites Learning depth from past selves: Self-evolution contrast for robust depth estimation,.

Boosting Robustness for All-Weather Self-Supervised Depth Estimation in Autonomous Driving Learning depth from past selves: Self-evolution contrast for robust depth estimation,

Reference 58

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Observation 2e322520-0e5c-43e4-a1b4-520abdd1ab48 · outbound

This paper cites Cafnet: A confidence-driven framework for radar camera depth estimation,.

Boosting Robustness for All-Weather Self-Supervised Depth Estimation in Autonomous Driving Cafnet: A confidence-driven framework for radar camera depth estimation,

Reference 59

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Observation 260c69b1-5859-496a-bc37-951bfba622ab · outbound

This paper cites Towards balanced multi- modal learning in 3d human pose estimation,.

Boosting Robustness for All-Weather Self-Supervised Depth Estimation in Autonomous Driving Towards balanced multi- modal learning in 3d human pose estimation,

Reference 60

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Observation a1ef14f0-4661-4088-b536-c2cd39269996 · outbound

This paper cites Depth estimation from monocular images and sparse radar data,.

Boosting Robustness for All-Weather Self-Supervised Depth Estimation in Autonomous Driving Depth estimation from monocular images and sparse radar data,

Reference 61

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