MMHU: A Massive-Scale Multimodal Benchmark for Human Behavior Understanding | Paper Citation Record

Observation 71839772-d37c-4bb6-8090-7cbf3de9a016 · outbound

This paper cites Auxiliary tasks benefit 3d skeleton-based human motion prediction.

MMHU: A Massive-Scale Multimodal Benchmark for Human Behavior Understanding Auxiliary tasks benefit 3d skeleton-based human motion prediction

Reference 1

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Observation a96daa7f-fbc2-4f4a-880c-6c94bc60c808 · outbound

This paper cites Tamformer: Multi-modal transformer with learned attention mask for early intent prediction.

MMHU: A Massive-Scale Multimodal Benchmark for Human Behavior Understanding Tamformer: Multi-modal transformer with learned attention mask for early intent prediction

Reference 2

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Observation c47b113e-39f4-4286-8073-9c025b0ab892 · outbound

This paper cites GTransPDM: A Graph-embedded Transformer with Positional Decoupling for Pedestrian Crossing Intention Prediction.

MMHU: A Massive-Scale Multimodal Benchmark for Human Behavior Understanding GTransPDM: A Graph-embedded Transformer with Positional Decoupling for Pedestrian Crossing Intention Prediction

Reference 3

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Observation 27815572-f287-4085-a7ad-e23add9bdce2 · outbound

This paper cites Predicting pedestrian crossing intention with feature fusion and spatio-temporal attention.

MMHU: A Massive-Scale Multimodal Benchmark for Human Behavior Understanding Predicting pedestrian crossing intention with feature fusion and spatio-temporal attention

Reference 4

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Observation e65c5890-52c5-41db-8aec-26f07361ddfc · outbound

This paper cites Incorporating physics principles for precise human motion prediction.

MMHU: A Massive-Scale Multimodal Benchmark for Human Behavior Understanding Incorporating physics principles for precise human motion prediction

Reference 5

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Observation f19f81f0-32c3-4616-976b-4e360e651e53 · outbound

This paper cites Behavioral intention prediction in driving scenes: A survey.

MMHU: A Massive-Scale Multimodal Benchmark for Human Behavior Understanding Behavioral intention prediction in driving scenes: A survey

Reference 6

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Observation 668c5fa7-85d0-4f6d-a0aa-a5a34ede1a94 · outbound

This paper cites Scalability in perception for autonomous driving: Waymo open dataset.

MMHU: A Massive-Scale Multimodal Benchmark for Human Behavior Understanding Scalability in perception for autonomous driving: Waymo open dataset

Reference 7

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Observation 8f10b2ba-4ba7-4d84-bdfa-d7cb13c856f6 · outbound

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

MMHU: A Massive-Scale Multimodal Benchmark for Human Behavior Understanding nuscenes: A multimodal dataset for autonomous driving

Reference 8

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Observation 6b0d5c9a-88d9-44fe-b3ba-60febd80c9e9 · outbound

This paper cites Vision meets robotics: The kitti dataset.

MMHU: A Massive-Scale Multimodal Benchmark for Human Behavior Understanding Vision meets robotics: The kitti dataset

Reference 9

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Observation 6a6153d1-418d-4584-bf64-aab75b599cfb · outbound

This paper cites Pie: A large-scale dataset and models for pedestrian intention estimation and trajectory prediction.

MMHU: A Massive-Scale Multimodal Benchmark for Human Behavior Understanding Pie: A large-scale dataset and models for pedestrian intention estimation and trajectory prediction

Reference 10

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Observation b50f0152-fb57-4c86-824d-22574cc8200a · outbound

This paper cites Euro-pvi: Pedestrian vehicle interactions in dense urban centers.

MMHU: A Massive-Scale Multimodal Benchmark for Human Behavior Understanding Euro-pvi: Pedestrian vehicle interactions in dense urban centers

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T16:49:37.815286Z

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Observation 75c4dd4a-6aa8-4f10-b74c-b9cbea0c36f2 · outbound

This paper cites Are they going to cross? a benchmark dataset and baseline for pedestrian crosswalk behavior.

MMHU: A Massive-Scale Multimodal Benchmark for Human Behavior Understanding Are they going to cross? a benchmark dataset and baseline for pedestrian crosswalk behavior

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T16:49:37.957541Z

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Observation 2c03a62f-90fb-4846-abd9-0525de31d5b6 · outbound

This paper cites Recovering accurate 3d human pose in the wild using imus and a moving camera.

MMHU: A Massive-Scale Multimodal Benchmark for Human Behavior Understanding Recovering accurate 3d human pose in the wild using imus and a moving camera

Reference 13

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Observation de699b7c-0835-46f1-9b34-031d2a002a56 · outbound

This paper cites Pedestrian motion reconstruction: A large-scale benchmark via mixed reality rendering with multiple perspectives and modalities.

MMHU: A Massive-Scale Multimodal Benchmark for Human Behavior Understanding Pedestrian motion reconstruction: A large-scale benchmark via mixed reality rendering with multiple perspectives and modalities

Reference 14

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Observation 35a10f2d-3953-4c15-83fd-a9fd04b6a633 · outbound

This paper cites Text to blind motion.

MMHU: A Massive-Scale Multimodal Benchmark for Human Behavior Understanding Text to blind motion

Reference 15

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Observation 522147a0-1c2e-4da7-b5dc-f7fc850ea232 · outbound

This paper cites Learning to generate diverse pedestrian move- ments from web videos with noisy labels.

MMHU: A Massive-Scale Multimodal Benchmark for Human Behavior Understanding Learning to generate diverse pedestrian move- ments from web videos with noisy labels

Reference 16

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Observation 5f264ace-4e2b-475a-8332-4e25d805e24b · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

MMHU: A Massive-Scale Multimodal Benchmark for Human Behavior Understanding LLaMA: Open and Efficient Foundation Language Models

Reference 17

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Observation c37d2d69-251c-4188-a3a1-f199219b0a40 · outbound

This paper cites Vila: On pre-training for visual language models, 2023.

MMHU: A Massive-Scale Multimodal Benchmark for Human Behavior Understanding Vila: On pre-training for visual language models, 2023

Reference 18

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Observation 7ba56018-4ad9-4ac4-91cf-f28fe1dadac0 · outbound

This paper cites Longvila: Scaling long-context visual language models for long videos, 2024.

MMHU: A Massive-Scale Multimodal Benchmark for Human Behavior Understanding Longvila: Scaling long-context visual language models for long videos, 2024

Reference 19

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Observation 693cdbeb-5477-427d-9c0c-ccac7a52ccb5 · outbound

This paper cites Nvila: Efficient frontier visual language models, 2024.

MMHU: A Massive-Scale Multimodal Benchmark for Human Behavior Understanding Nvila: Efficient frontier visual language models, 2024

Reference 20

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Observation 297c659b-7536-4a3d-ad99-c81590c0b5f8 · outbound

This paper cites Visual instruction tuning, 2023.

MMHU: A Massive-Scale Multimodal Benchmark for Human Behavior Understanding Visual instruction tuning, 2023

Reference 21

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Observation a63ec538-4950-44c5-b9a0-10b1c4594b7f · outbound

This paper cites Llava-next: Improved reasoning, ocr, and world knowledge, January 2024.

MMHU: A Massive-Scale Multimodal Benchmark for Human Behavior Understanding Llava-next: Improved reasoning, ocr, and world knowledge, January 2024

Reference 22

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Observation 1453a2f1-8bde-4cfd-9337-264e70df223f · outbound

This paper cites Improved baselines with visual instruction tuning, 2023.

MMHU: A Massive-Scale Multimodal Benchmark for Human Behavior Understanding Improved baselines with visual instruction tuning, 2023

Reference 23

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Observation 2eb5d404-b758-49a9-b3a4-66d32a56798c · outbound

This paper cites Video instruction tuning with synthetic data, 2024.

MMHU: A Massive-Scale Multimodal Benchmark for Human Behavior Understanding Video instruction tuning with synthetic data, 2024

Reference 24

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Observation aea0b38f-be94-4ce3-8094-dbf9f85e5196 · outbound

This paper cites Qwen Technical Report.

MMHU: A Massive-Scale Multimodal Benchmark for Human Behavior Understanding Qwen Technical Report

Reference 25

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Observation a666b112-4d18-43ab-b4ba-28345d4a0e29 · outbound

This paper cites 2d human pose estimation calibration and keypoint visibility classification.

MMHU: A Massive-Scale Multimodal Benchmark for Human Behavior Understanding 2d human pose estimation calibration and keypoint visibility classification

Reference 26

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Observation c57d3b76-d08b-4d33-b7f5-c64d243f7602 · outbound

This paper cites Recurrent human pose estimation.

MMHU: A Massive-Scale Multimodal Benchmark for Human Behavior Understanding Recurrent human pose estimation

Reference 27

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Observation fa480358-192c-4714-9253-d3f1016384a7 · outbound

This paper cites Rethinking the heatmap regression for bottom-up human pose estimation.

MMHU: A Massive-Scale Multimodal Benchmark for Human Behavior Understanding Rethinking the heatmap regression for bottom-up human pose estimation

Reference 28

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Observation 892c2586-5580-411a-8265-3ab02a313167 · outbound

This paper cites Tokenpose: Learning keypoint tokens for human pose estimation.

MMHU: A Massive-Scale Multimodal Benchmark for Human Behavior Understanding Tokenpose: Learning keypoint tokens for human pose estimation

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:50:04.659736Z

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Observation 8a758109-a470-4bd3-a647-71bfc7302460 · outbound

This paper cites Whole- body human pose estimation in the wild.

MMHU: A Massive-Scale Multimodal Benchmark for Human Behavior Understanding Whole- body human pose estimation in the wild

Reference 30

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Observation 94e049d9-f517-4a89-a27f-b739d48817cb · outbound

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MMHU: A Massive-Scale Multimodal Benchmark for Human Behavior Understanding Unresolved cited work

Reference 31

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Observation 9b883b61-44b7-437b-bcc5-0cd0cc3b1c58 · outbound

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MMHU: A Massive-Scale Multimodal Benchmark for Human Behavior Understanding Unresolved cited work

Reference 32

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Observation 59899439-f75b-4e85-a161-55b8cac73f39 · outbound

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MMHU: A Massive-Scale Multimodal Benchmark for Human Behavior Understanding Unresolved cited work

Reference 33

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Observation 1c010a3d-66b7-4b03-9a71-7c68846f1581 · outbound

This paper cites an unresolved cited work.

MMHU: A Massive-Scale Multimodal Benchmark for Human Behavior Understanding Unresolved cited work

Reference 34

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Observation 0a50da58-49dc-4d31-8ab4-40816ba7ab2e · outbound

This paper cites MotionBank: A Large-scale Video Motion Benchmark with Disentangled Rule-based Annotations.

MMHU: A Massive-Scale Multimodal Benchmark for Human Behavior Understanding MotionBank: A Large-scale Video Motion Benchmark with Disentangled Rule-based Annotations

Reference 35

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Observation 27b6e82b-430e-42c8-9144-895cccf7a313 · outbound

This paper cites Amass: Archive of motion capture as surface shapes.

MMHU: A Massive-Scale Multimodal Benchmark for Human Behavior Understanding Amass: Archive of motion capture as surface shapes

Reference 36

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Observation f4e72f73-3dac-49b6-a2cc-7bbff6b27495 · outbound

This paper cites Motion- x: A large-scale 3d expressive whole-body human motion dataset.

MMHU: A Massive-Scale Multimodal Benchmark for Human Behavior Understanding Motion- x: A large-scale 3d expressive whole-body human motion dataset

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:50:03.653273Z

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Observation d30fa8f4-654e-4a01-9c9a-f20182624064 · outbound

This paper cites Dynamic multi-person mesh recovery from uncalibrated multi-view cameras.

MMHU: A Massive-Scale Multimodal Benchmark for Human Behavior Understanding Dynamic multi-person mesh recovery from uncalibrated multi-view cameras

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:50:03.383774Z

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Observation 867a74ba-8797-4300-a5cb-9d6c5274a6f9 · outbound

This paper cites Motion capture from internet videos.

MMHU: A Massive-Scale Multimodal Benchmark for Human Behavior Understanding Motion capture from internet videos

Reference 39

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Observation 8d9a3d61-079c-4639-a8bb-838233d8e2f8 · outbound

This paper cites Scene-aware 3d multi-human motion capture from a single camera.

MMHU: A Massive-Scale Multimodal Benchmark for Human Behavior Understanding Scene-aware 3d multi-human motion capture from a single camera

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:50:02.962878Z

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Observation 2291b9e1-8e3d-4ee4-afc5-36e6e2ef7029 · outbound

This paper cites D &d: Learning human dynamics from dynamic camera.

MMHU: A Massive-Scale Multimodal Benchmark for Human Behavior Understanding D &d: Learning human dynamics from dynamic camera

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:50:02.746385Z

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Observation c096dc11-32ef-427e-8d4b-02f99abb36f5 · outbound

This paper cites Decoupling human and camera motion from videos in the wild.

MMHU: A Massive-Scale Multimodal Benchmark for Human Behavior Understanding Decoupling human and camera motion from videos in the wild

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:50:02.536495Z

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Observation 6aefdd6d-1981-4a44-a1f1-0dddfaf1523e · outbound

This paper cites Glamr: Global occlusion-aware human mesh recovery with dynamic cameras.

MMHU: A Massive-Scale Multimodal Benchmark for Human Behavior Understanding Glamr: Global occlusion-aware human mesh recovery with dynamic cameras

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:50:02.319830Z

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Observation 9820c467-ba5a-4440-aa1b-2bf2e57f7dc5 · outbound

This paper cites Implicit neural representations for variable length human motion generation.

MMHU: A Massive-Scale Multimodal Benchmark for Human Behavior Understanding Implicit neural representations for variable length human motion generation

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:50:02.098770Z

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Observation 376615c3-cc43-41f0-9c2c-c1b895599a2c · outbound

This paper cites Human Motion Diffusion Model.

MMHU: A Massive-Scale Multimodal Benchmark for Human Behavior Understanding Human Motion Diffusion Model

Reference 45

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Observation 03f7e6d3-2a41-4896-8caa-e2297dc1c84a · outbound

This paper cites Motiondiffuse: Text-driven human motion generation with diffusion model.

MMHU: A Massive-Scale Multimodal Benchmark for Human Behavior Understanding Motiondiffuse: Text-driven human motion generation with diffusion model

Reference 46

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Observation 9ea47c99-d57c-4a00-904f-4631a1ac504c · outbound

This paper cites Home action genome: Cooperative compositional action understanding.

MMHU: A Massive-Scale Multimodal Benchmark for Human Behavior Understanding Home action genome: Cooperative compositional action understanding

Reference 47

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Observation b4758825-c618-4953-bb34-bb8a00c56d74 · outbound

This paper cites Babel: Bodies, action and behavior with english labels.

MMHU: A Massive-Scale Multimodal Benchmark for Human Behavior Understanding Babel: Bodies, action and behavior with english labels

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:50:01.923957Z

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Observation be6c8ef9-7a1f-4292-a862-7d67243e69d2 · outbound

This paper cites Mining actionlet ensemble for action recognition with depth cameras.

MMHU: A Massive-Scale Multimodal Benchmark for Human Behavior Understanding Mining actionlet ensemble for action recognition with depth cameras

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:50:01.710745Z

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Observation 92a5830b-19b3-47c5-a2b6-c13a1da481bb · outbound

This paper cites Action recognition based on a bag of 3d points.

MMHU: A Massive-Scale Multimodal Benchmark for Human Behavior Understanding Action recognition based on a bag of 3d points

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:50:01.495068Z

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Observation 6a2104d7-8a74-41c3-be0e-22d7490af9a9 · outbound

This paper cites UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild.

MMHU: A Massive-Scale Multimodal Benchmark for Human Behavior Understanding UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild

Reference 51

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Observation d4bca55f-f114-4a84-8c6b-b03b8097020a · outbound

This paper cites Modeling temporal structure of decomposable motion segments for activity classification.

MMHU: A Massive-Scale Multimodal Benchmark for Human Behavior Understanding Modeling temporal structure of decomposable motion segments for activity classification

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:50:01.314815Z

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Observation c58ba53b-e930-46e4-8461-78f9e80d71dd · outbound

This paper cites The Kinetics Human Action Video Dataset.

MMHU: A Massive-Scale Multimodal Benchmark for Human Behavior Understanding The Kinetics Human Action Video Dataset

Reference 53

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Observation 92b440a4-e734-4821-a45c-8212ea0819ed · outbound

This paper cites Actions in context.

MMHU: A Massive-Scale Multimodal Benchmark for Human Behavior Understanding Actions in context

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:50:01.161871Z

Source-reported events for the cited work

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Observation 164e9ab0-c904-4bf8-8d68-3c8a9b41626b · outbound

This paper cites Auxformer: Robust approach to audiovisual emotion recognition.

MMHU: A Massive-Scale Multimodal Benchmark for Human Behavior Understanding Auxformer: Robust approach to audiovisual emotion recognition

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:50:00.946957Z

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Observation 7ead9bb5-7390-4fe1-8aaa-50dc25b53977 · outbound

This paper cites Context-based inter- pretable spatio-temporal graph convolutional network for human motion forecasting.

MMHU: A Massive-Scale Multimodal Benchmark for Human Behavior Understanding Context-based inter- pretable spatio-temporal graph convolutional network for human motion forecasting

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:50:00.804751Z

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Observation c0391ee2-d79c-45bd-99b2-d74667c2bae5 · outbound

This paper cites Gcnext: Towards the unity of graph convo- lutions for human motion prediction.

MMHU: A Massive-Scale Multimodal Benchmark for Human Behavior Understanding Gcnext: Towards the unity of graph convo- lutions for human motion prediction

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:50:00.618553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 2f2d564a-098b-42ee-927d-698371054ade · outbound

This paper cites Back to mlp: A simple baseline for human motion prediction.

MMHU: A Massive-Scale Multimodal Benchmark for Human Behavior Understanding Back to mlp: A simple baseline for human motion prediction

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:50:00.387378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ed0b00e1-56de-4771-950a-999aac11ce18 · outbound

This paper cites History repeats itself: Human motion prediction via motion attention.

MMHU: A Massive-Scale Multimodal Benchmark for Human Behavior Understanding History repeats itself: Human motion prediction via motion attention

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:50:00.194250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 85d4f0b6-6f2d-4329-bc6b-378e3b4f8379 · outbound

This paper cites Trep: Transformer-based evidential prediction for pedestrian intention with uncertainty.

MMHU: A Massive-Scale Multimodal Benchmark for Human Behavior Understanding Trep: Transformer-based evidential prediction for pedestrian intention with uncertainty

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:49:59.936136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 2e0955c3-2a8a-4fe0-bb23-cbb3bf827409 · outbound

This paper cites Visual–motion–interaction-guided pedestrian intention prediction framework.

MMHU: A Massive-Scale Multimodal Benchmark for Human Behavior Understanding Visual–motion–interaction-guided pedestrian intention prediction framework

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:49:59.759578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f0fe421d-6901-4329-b2f8-aab7dc2edacd · outbound

This paper cites Benchmark for evaluating pedestrian action prediction.

MMHU: A Massive-Scale Multimodal Benchmark for Human Behavior Understanding Benchmark for evaluating pedestrian action prediction

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:49:59.547880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 8ceeceaf-1327-4ba8-bea8-02410bca2679 · outbound

This paper cites Agreeing to cross: How drivers and pedestrians communicate.

MMHU: A Massive-Scale Multimodal Benchmark for Human Behavior Understanding Agreeing to cross: How drivers and pedestrians communicate

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:49:59.335344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 179f464a-4f06-48cc-8735-37ee93e2c362 · outbound

This paper cites Pedestrian intention prediction based on dynamic fuzzy automata for vehicle driving at nighttime.

MMHU: A Massive-Scale Multimodal Benchmark for Human Behavior Understanding Pedestrian intention prediction based on dynamic fuzzy automata for vehicle driving at nighttime

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:49:59.134669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 7fa810cf-0bc2-4a02-b7fd-52823e3d55f3 · outbound

This paper cites Pedestrian intention and pose prediction through dynamical models and behaviour classification.

MMHU: A Massive-Scale Multimodal Benchmark for Human Behavior Understanding Pedestrian intention and pose prediction through dynamical models and behaviour classification

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:49:58.977044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation bea57fc8-781b-4767-99e4-422fe8c50f5d · outbound

This paper cites Pedestrian path prediction with recursive bayesian filters: A comparative study.

MMHU: A Massive-Scale Multimodal Benchmark for Human Behavior Understanding Pedestrian path prediction with recursive bayesian filters: A comparative study

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:49:58.799103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 51bebc89-e5e6-4884-b173-a92fa96ceabd · outbound

This paper cites Dolphins: Multimodal language model for driving.

MMHU: A Massive-Scale Multimodal Benchmark for Human Behavior Understanding Dolphins: Multimodal language model for driving

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-06T16:49:50.712847Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d51aa2e-fb38-43af-8dac-c2b5fcf3ba25 · outbound

This paper cites Drivelm: Driving with graph visual question answering.

MMHU: A Massive-Scale Multimodal Benchmark for Human Behavior Understanding Drivelm: Driving with graph visual question answering

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:49:58.596482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 10676d0d-7943-42c1-9a00-4e7cbe2b0cd8 · outbound

This paper cites Tem-adapter: Adapting image-text pretraining for video question answer.

MMHU: A Massive-Scale Multimodal Benchmark for Human Behavior Understanding Tem-adapter: Adapting image-text pretraining for video question answer

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:49:58.389195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e6c44bc0-0547-4c9c-bdfb-b981eedf1829 · outbound

This paper cites Lmdrive: Closed-loop end-to-end driving with large language models.

MMHU: A Massive-Scale Multimodal Benchmark for Human Behavior Understanding Lmdrive: Closed-loop end-to-end driving with large language models

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-06T16:49:50.978757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d2be7b6-6737-4ed4-ae54-7934b12a7f6f · outbound

This paper cites OmniDrive: A Holistic Vision-Language Dataset for Autonomous Driving with Counterfactual Reasoning.

MMHU: A Massive-Scale Multimodal Benchmark for Human Behavior Understanding OmniDrive: A Holistic Vision-Language Dataset for Autonomous Driving with Counterfactual Reasoning

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-06T16:49:51.079501Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d39b9996-86f6-481e-8701-3389039ebcf5 · outbound

This paper cites Rag-driver: Generalisable driving explanations with retrieval-augmented in-context learning in multi- modal large language model.

MMHU: A Massive-Scale Multimodal Benchmark for Human Behavior Understanding Rag-driver: Generalisable driving explanations with retrieval-augmented in-context learning in multi- modal large language model

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-06T16:49:51.158814Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68838d8b-e6f7-43f1-872d-d54892d9d338 · outbound

This paper cites Driving with llms: Fusing object-level vector modality for explainable autonomous driving.

MMHU: A Massive-Scale Multimodal Benchmark for Human Behavior Understanding Driving with llms: Fusing object-level vector modality for explainable autonomous driving

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:49:58.167373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation da9bb143-f317-4cbe-8537-f40b3002c5e2 · outbound

This paper cites Lingoqa: Visual question answering for autonomous driving.

MMHU: A Massive-Scale Multimodal Benchmark for Human Behavior Understanding Lingoqa: Visual question answering for autonomous driving

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:49:57.984400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation fd6b48ab-d441-4973-8c40-d5b1556c37ac · outbound

This paper cites Covla: Comprehensive vision-language-action dataset for autonomous driving.

MMHU: A Massive-Scale Multimodal Benchmark for Human Behavior Understanding Covla: Comprehensive vision-language-action dataset for autonomous driving

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-06T16:49:51.633873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3e784a95-c9bb-45c9-9b7d-d40f50b91555 · outbound

This paper cites Rea- son2drive: Towards interpretable and chain-based reasoning for autonomous driving.

MMHU: A Massive-Scale Multimodal Benchmark for Human Behavior Understanding Rea- son2drive: Towards interpretable and chain-based reasoning for autonomous driving

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:49:57.751162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 607d30e9-3a00-4aaf-9820-30d0b87c37e2 · outbound

This paper cites Nuscenes-mqa: Integrated evaluation of captions and qa for autonomous driving datasets using markup annotations.

MMHU: A Massive-Scale Multimodal Benchmark for Human Behavior Understanding Nuscenes-mqa: Integrated evaluation of captions and qa for autonomous driving datasets using markup annotations

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:49:57.500537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e5f7465c-63d7-4549-83db-691b68c40cc8 · outbound

This paper cites NuScenes-QA: A Multi-modal Visual Question Answering Benchmark for Autonomous Driving Scenario.

MMHU: A Massive-Scale Multimodal Benchmark for Human Behavior Understanding NuScenes-QA: A Multi-modal Visual Question Answering Benchmark for Autonomous Driving Scenario

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-06T16:49:52.051367Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a79d6fa2-8fd4-4d0e-bd84-197aed7768f3 · outbound

This paper cites 1 year, 1000 km: The oxford robotcar dataset.

MMHU: A Massive-Scale Multimodal Benchmark for Human Behavior Understanding 1 year, 1000 km: The oxford robotcar dataset

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:49:57.288537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 9bb8aba5-a4b5-4106-9d54-f1f3eba09c6d · outbound

This paper cites Dada: Driver attention prediction in driving accident scenarios.

MMHU: A Massive-Scale Multimodal Benchmark for Human Behavior Understanding Dada: Driver attention prediction in driving accident scenarios

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:49:57.106647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ef3aa4fc-2030-4b75-91b9-11c50c2c4fe4 · outbound

This paper cites Snow removal in video: A new dataset and a novel method.

MMHU: A Massive-Scale Multimodal Benchmark for Human Behavior Understanding Snow removal in video: A new dataset and a novel method

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:49:56.933123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 633e92b7-df81-4138-bd02-74811c27fd65 · outbound

This paper cites Semantic foggy scene understanding with synthetic data.

MMHU: A Massive-Scale Multimodal Benchmark for Human Behavior Understanding Semantic foggy scene understanding with synthetic data

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:49:56.711029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 14e4f89f-40d7-4f5b-9d28-723b02c3b296 · outbound

This paper cites Wham: Reconstructing world-grounded humans with accurate 3d motion.

MMHU: A Massive-Scale Multimodal Benchmark for Human Behavior Understanding Wham: Reconstructing world-grounded humans with accurate 3d motion

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:49:56.501706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 5dfdc58d-34c0-4e05-afb3-b59c6fd130fe · outbound

This paper cites Recov- ering accurate 3d human pose in the wild using imus and a moving camera.

MMHU: A Massive-Scale Multimodal Benchmark for Human Behavior Understanding Recov- ering accurate 3d human pose in the wild using imus and a moving camera

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:49:56.335057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d3a61028-8328-42fc-adfe-ee4e7bb0957b · outbound

This paper cites Drama: Joint risk localization and captioning in driving.

MMHU: A Massive-Scale Multimodal Benchmark for Human Behavior Understanding Drama: Joint risk localization and captioning in driving

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-06T16:49:52.765409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a7cc4c9c-ef71-4152-930d-8a4d0a52d6f3 · outbound

This paper cites Posescript: 3d human poses from natural language.

MMHU: A Massive-Scale Multimodal Benchmark for Human Behavior Understanding Posescript: 3d human poses from natural language

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:49:56.146203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d09a7f04-0b4f-465b-b0ce-31e679d39e3b · outbound

This paper cites Motiongpt: Human motion as a foreign language.

MMHU: A Massive-Scale Multimodal Benchmark for Human Behavior Understanding Motiongpt: Human motion as a foreign language

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-06T16:49:52.954611Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6efac6a-c297-4a31-abc6-8c9401a22094 · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilibrium.

MMHU: A Massive-Scale Multimodal Benchmark for Human Behavior Understanding Gans trained by a two time-scale update rule converge to a local nash equilibrium

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-06T16:49:53.064565Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b8fa220a-9394-478e-ae1a-55896c6ea69d · outbound

This paper cites Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs.

MMHU: A Massive-Scale Multimodal Benchmark for Human Behavior Understanding Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-06T16:49:53.159318Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 716f75ef-6c74-4cd4-9f30-f5613f70e6bd · outbound

This paper cites MiniCPM-V: A GPT-4V Level MLLM on Your Phone.

MMHU: A Massive-Scale Multimodal Benchmark for Human Behavior Understanding MiniCPM-V: A GPT-4V Level MLLM on Your Phone

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-06T16:49:53.272808Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7200b3b0-b926-4848-bd33-5343c9a6842c · outbound

This paper cites Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution.

MMHU: A Massive-Scale Multimodal Benchmark for Human Behavior Understanding Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-06T16:49:53.371557Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5b2b250-4156-402e-98a8-275f3f32c366 · outbound

This paper cites Qwen2.5-VL Technical Report.

MMHU: A Massive-Scale Multimodal Benchmark for Human Behavior Understanding Qwen2.5-VL Technical Report

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-06T16:49:53.451178Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 26395a82-440b-4d02-9634-af4b864fd32f · outbound

This paper cites Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling.

MMHU: A Massive-Scale Multimodal Benchmark for Human Behavior Understanding Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-06T16:49:53.541236Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68ea932b-35ff-451a-91b8-44938f6df4d9 · outbound

This paper cites MANTIS: Interleaved Multi-Image Instruction Tuning.

MMHU: A Massive-Scale Multimodal Benchmark for Human Behavior Understanding MANTIS: Interleaved Multi-Image Instruction Tuning

Reference 94

Resolution: unresolved; no resolver link, observed 2026-08-06T16:49:53.632371Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f3e330ce-1d74-48eb-a971-be76d1ae37d0 · outbound

This paper cites Building and better understanding vision-language models: insights and future directions., 2024.

MMHU: A Massive-Scale Multimodal Benchmark for Human Behavior Understanding Building and better understanding vision-language models: insights and future directions., 2024

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-06T16:49:53.709943Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de930206-53e1-4297-90c8-e1418f1cbca7 · outbound

This paper cites Pixtral 12B.

MMHU: A Massive-Scale Multimodal Benchmark for Human Behavior Understanding Pixtral 12B

Reference 96

Resolution: unresolved; no resolver link, observed 2026-08-06T16:49:53.785315Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 31e8e320-eaac-4ab4-8bc5-b55eee0c7e62 · outbound

This paper cites Gemma 3 Technical Report.

MMHU: A Massive-Scale Multimodal Benchmark for Human Behavior Understanding Gemma 3 Technical Report

Reference 97

Resolution: unresolved; no resolver link, observed 2026-08-06T16:49:53.884739Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f4b662be-748a-4797-b619-ddf3794da39d · outbound

This paper cites DeepSeek-VL2: Mixture-of-Experts Vision-Language Models for Advanced Multimodal Understanding.

MMHU: A Massive-Scale Multimodal Benchmark for Human Behavior Understanding DeepSeek-VL2: Mixture-of-Experts Vision-Language Models for Advanced Multimodal Understanding

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-06T16:49:53.990949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84beb5f3-69ff-4066-9f02-b08cae3daa5f · outbound

This paper cites Kimi-VL Technical Report.

MMHU: A Massive-Scale Multimodal Benchmark for Human Behavior Understanding Kimi-VL Technical Report

Reference 99

Resolution: unresolved; no resolver link, observed 2026-08-06T16:49:54.072518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1010b81-99b5-464e-8195-5401d9bd769b · outbound

This paper cites Joint Attention in Autonomous Driving (JAAD).

MMHU: A Massive-Scale Multimodal Benchmark for Human Behavior Understanding Joint Attention in Autonomous Driving (JAAD)

Reference 100

Resolution: unresolved; no resolver link, observed 2026-08-06T16:49:54.185917Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Reference resolution

Outbound references

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