DESign: Dynamic Context-Aware Convolution and Efficient Subnet Regularization for Continuous Sign Language Recognition | Paper Citation Record

Observation f7307fe1-d6d3-47a2-9a48-c5c12a2b6c39 · outbound

This paper cites Speech recognition techniques for a sign language recognition system,.

DESign: Dynamic Context-Aware Convolution and Efficient Subnet Regularization for Continuous Sign Language Recognition Speech recognition techniques for a sign language recognition system,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:17:30.111184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 17b32b9c-65fd-48c5-822f-611792989f29 · outbound

This paper cites Automatic sign language analysis: A survey and the future beyond lexical meaning,.

DESign: Dynamic Context-Aware Convolution and Efficient Subnet Regularization for Continuous Sign Language Recognition Automatic sign language analysis: A survey and the future beyond lexical meaning,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:17:29.896699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 88f90463-cdb9-4199-99b2-3da0a09408f3 · outbound

This paper cites Sign language and linguistic universals, wendy sandler and diane lillo-martin,.

DESign: Dynamic Context-Aware Convolution and Efficient Subnet Regularization for Continuous Sign Language Recognition Sign language and linguistic universals, wendy sandler and diane lillo-martin,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:17:29.694024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation caa837c4-8ae6-4e43-9ddf-9c9fc1e2a66c · outbound

This paper cites Reviewing 25 years of continuous sign language recognition research: Advances, challenges, and prospects,.

DESign: Dynamic Context-Aware Convolution and Efficient Subnet Regularization for Continuous Sign Language Recognition Reviewing 25 years of continuous sign language recognition research: Advances, challenges, and prospects,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T20:17:12.687710Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 48596207-1063-45b5-a852-b4710610c144 · outbound

This paper cites Orientation histograms for hand gesture recognition,.

DESign: Dynamic Context-Aware Convolution and Efficient Subnet Regularization for Continuous Sign Language Recognition Orientation histograms for hand gesture recognition,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:17:29.535686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 64c04c03-169e-4189-9c6b-32f81b65c73a · outbound

This paper cites Discriminative exemplar coding for sign language recognition with kinect,.

DESign: Dynamic Context-Aware Convolution and Efficient Subnet Regularization for Continuous Sign Language Recognition Discriminative exemplar coding for sign language recognition with kinect,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:17:29.375178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4e9c4aef-bd7b-44b2-ad95-cd1cd7d6e013 · outbound

This paper cites Pose-based sign language recognition using gcn and bert,.

DESign: Dynamic Context-Aware Convolution and Efficient Subnet Regularization for Continuous Sign Language Recognition Pose-based sign language recognition using gcn and bert,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:17:29.198528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8ef4eabf-17ad-4a3b-b068-f6d47b7301fa · outbound

This paper cites Signbert: pre-training of hand-model-aware representation for sign language recognition,.

DESign: Dynamic Context-Aware Convolution and Efficient Subnet Regularization for Continuous Sign Language Recognition Signbert: pre-training of hand-model-aware representation for sign language recognition,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:17:28.958903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 339d831e-25bc-4896-8e5f-4907d7c1ffab · outbound

This paper cites Visual alignment constraint for continuous sign language recognition,.

DESign: Dynamic Context-Aware Convolution and Efficient Subnet Regularization for Continuous Sign Language Recognition Visual alignment constraint for continuous sign language recognition,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:17:28.756782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8efe0889-cec4-4fce-8518-28e4adbbd63b · outbound

This paper cites Self-mutual distillation learning for continuous sign language recognition,.

DESign: Dynamic Context-Aware Convolution and Efficient Subnet Regularization for Continuous Sign Language Recognition Self-mutual distillation learning for continuous sign language recognition,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:17:28.556610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5b4f6d38-026b-484a-820d-fdac74b7a29b · outbound

This paper cites Continuous sign language recognition with correlation network,.

DESign: Dynamic Context-Aware Convolution and Efficient Subnet Regularization for Continuous Sign Language Recognition Continuous sign language recognition with correlation network,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:17:28.351214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ea2bcf07-a67d-4f92-b907-55b83662eb7c · outbound

This paper cites Two-Stream Network for Sign Language Recognition and Translation.

DESign: Dynamic Context-Aware Convolution and Efficient Subnet Regularization for Continuous Sign Language Recognition Two-Stream Network for Sign Language Recognition and Translation

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-08-06T20:17:19.679435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e360df12-2294-44fe-83d9-dc04374a6bbe · outbound

This paper cites Tcnet: Continuous sign language recognition from trajectories and correlated regions,.

DESign: Dynamic Context-Aware Convolution and Efficient Subnet Regularization for Continuous Sign Language Recognition Tcnet: Continuous sign language recognition from trajectories and correlated regions,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:17:28.167982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7df8bed8-2eee-4ad0-b910-94c759d534ad · outbound

This paper cites CorrNet+: Sign Language Recognition and Translation via Spatial-Temporal Correlation.

DESign: Dynamic Context-Aware Convolution and Efficient Subnet Regularization for Continuous Sign Language Recognition CorrNet+: Sign Language Recognition and Translation via Spatial-Temporal Correlation

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T20:17:13.266505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db83918d-ef45-4ecb-8bcd-798fbcd141bb · outbound

This paper cites Dynamic filter networks,.

DESign: Dynamic Context-Aware Convolution and Efficient Subnet Regularization for Continuous Sign Language Recognition Dynamic filter networks,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:17:27.957664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7519fbee-a89e-4c04-9529-4ff101803610 · outbound

This paper cites Dynamic convolution: Attention over convolution kernels,.

DESign: Dynamic Context-Aware Convolution and Efficient Subnet Regularization for Continuous Sign Language Recognition Dynamic convolution: Attention over convolution kernels,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:17:27.761673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a1bc1830-c0ca-46b3-8aa9-5dcf966acd3f · outbound

This paper cites Omni-Dimensional Dynamic Convolution.

DESign: Dynamic Context-Aware Convolution and Efficient Subnet Regularization for Continuous Sign Language Recognition Omni-Dimensional Dynamic Convolution

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T20:17:13.551654Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c39a40b5-846e-407a-b233-614f75782d7f · outbound

This paper cites TAda! Temporally-Adaptive Convolutions for Video Understanding.

DESign: Dynamic Context-Aware Convolution and Efficient Subnet Regularization for Continuous Sign Language Recognition TAda! Temporally-Adaptive Convolutions for Video Understanding

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-08-06T20:17:19.521252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ee77c9a2-d5a2-4a88-ba2b-e26c091ac4b5 · outbound

This paper cites Temporally-Adaptive Models for Efficient Video Understanding.

DESign: Dynamic Context-Aware Convolution and Efficient Subnet Regularization for Continuous Sign Language Recognition Temporally-Adaptive Models for Efficient Video Understanding

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T20:17:13.741521Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b631793-746a-4435-83da-3567e6c890e4 · outbound

This paper cites Improving continuous sign language recognition via cross-frame interactions in expanded contextual spaces,.

DESign: Dynamic Context-Aware Convolution and Efficient Subnet Regularization for Continuous Sign Language Recognition Improving continuous sign language recognition via cross-frame interactions in expanded contextual spaces,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:17:27.585455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 17962522-734c-41ea-a2a2-c79a1d054242 · outbound

This paper cites Olmd: Orientation-aware long-term motion decoupling for con- tinuous sign language recognition,.

DESign: Dynamic Context-Aware Convolution and Efficient Subnet Regularization for Continuous Sign Language Recognition Olmd: Orientation-aware long-term motion decoupling for con- tinuous sign language recognition,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:17:27.383240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 14e0046d-3e20-4e92-ad43-b969b969b105 · outbound

This paper cites Tam: Temporal adaptive module for video recognition,.

DESign: Dynamic Context-Aware Convolution and Efficient Subnet Regularization for Continuous Sign Language Recognition Tam: Temporal adaptive module for video recognition,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:17:27.228613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2b5b05c9-ba53-4b29-9d47-1317d7030c9a · outbound

This paper cites Self-emphasizing network for continuous sign language recognition,.

DESign: Dynamic Context-Aware Convolution and Efficient Subnet Regularization for Continuous Sign Language Recognition Self-emphasizing network for continuous sign language recognition,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:17:27.103618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 97db633a-bc0f-4df7-831b-116116dca5a9 · outbound

This paper cites A deep neural framework for continuous sign language recognition by iterative training,.

DESign: Dynamic Context-Aware Convolution and Efficient Subnet Regularization for Continuous Sign Language Recognition A deep neural framework for continuous sign language recognition by iterative training,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:17:26.970835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 75f942c1-1279-4fd7-82b9-9bce8f3178a0 · outbound

This paper cites Iterative alignment network for continuous sign language recognition,.

DESign: Dynamic Context-Aware Convolution and Efficient Subnet Regularization for Continuous Sign Language Recognition Iterative alignment network for continuous sign language recognition,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:17:26.812040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 144af6aa-43b1-4ab8-a85b-dd4b67b359b5 · outbound

This paper cites Deep radial embedding for visual sequence learning.

DESign: Dynamic Context-Aware Convolution and Efficient Subnet Regularization for Continuous Sign Language Recognition Deep radial embedding for visual sequence learning

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:17:26.540417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 44286db8-9f64-49d3-8df9-e9664b7775b2 · outbound

This paper cites Temporal lift pooling for continuous sign language recognition,.

DESign: Dynamic Context-Aware Convolution and Efficient Subnet Regularization for Continuous Sign Language Recognition Temporal lift pooling for continuous sign language recognition,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:17:26.396545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4788dd88-6664-41cb-88e7-15b7e96a3c06 · outbound

This paper cites Intermediate loss regularization for ctc- based speech recognition,.

DESign: Dynamic Context-Aware Convolution and Efficient Subnet Regularization for Continuous Sign Language Recognition Intermediate loss regularization for ctc- based speech recognition,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:17:26.232761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e9b9e080-ab7f-4a7e-96f7-beb1bde82b21 · outbound

This paper cites Cosign: Explor- ing co-occurrence signals in skeleton-based continuous sign language recognition,.

DESign: Dynamic Context-Aware Convolution and Efficient Subnet Regularization for Continuous Sign Language Recognition Cosign: Explor- ing co-occurrence signals in skeleton-based continuous sign language recognition,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:17:26.120807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b8397038-ed5e-4cf9-a331-b85d79638397 · outbound

This paper cites Cvt-slr: Contrastive visual-textual transformation for sign language recognition with variational alignment,.

DESign: Dynamic Context-Aware Convolution and Efficient Subnet Regularization for Continuous Sign Language Recognition Cvt-slr: Contrastive visual-textual transformation for sign language recognition with variational alignment,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:17:25.972102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d684b0ce-f16d-4af3-82aa-76bba0a39508 · outbound

This paper cites Spatial-temporal multi-cue net- work for sign language recognition and translation,.

DESign: Dynamic Context-Aware Convolution and Efficient Subnet Regularization for Continuous Sign Language Recognition Spatial-temporal multi-cue net- work for sign language recognition and translation,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:17:25.787079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 700d2cbc-240c-4d73-bba1-e3f93e7ab84e · outbound

This paper cites Learning sign language by watching tv (using weakly aligned subtitles),.

DESign: Dynamic Context-Aware Convolution and Efficient Subnet Regularization for Continuous Sign Language Recognition Learning sign language by watching tv (using weakly aligned subtitles),

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:17:25.576100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d059cdb6-337e-46a4-8833-e8c26c8dc780 · outbound

This paper cites Video-based signer- independent arabic sign language recognition using hidden markov models,.

DESign: Dynamic Context-Aware Convolution and Efficient Subnet Regularization for Continuous Sign Language Recognition Video-based signer- independent arabic sign language recognition using hidden markov models,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:17:25.392087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e275965e-bccb-4c3f-932e-49f70b6ddd64 · outbound

This paper cites C2slr: Consistency-enhanced continuous sign language recognition,.

DESign: Dynamic Context-Aware Convolution and Efficient Subnet Regularization for Continuous Sign Language Recognition C2slr: Consistency-enhanced continuous sign language recognition,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:17:25.255340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2830bb86-d85b-4715-852d-abd7c1290842 · outbound

This paper cites C2st: Cross-modal contextualized sequence transduction for continuous sign language recognition,.

DESign: Dynamic Context-Aware Convolution and Efficient Subnet Regularization for Continuous Sign Language Recognition C2st: Cross-modal contextualized sequence transduction for continuous sign language recognition,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:17:25.141121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c1207624-74d4-458a-9bf1-801751f60351 · outbound

This paper cites Joint ctc-attention based end- to-end speech recognition using multi-task learning,.

DESign: Dynamic Context-Aware Convolution and Efficient Subnet Regularization for Continuous Sign Language Recognition Joint ctc-attention based end- to-end speech recognition using multi-task learning,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:17:24.936440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 723be608-1763-48ad-a190-b0c8e8f6c0a2 · outbound

This paper cites Auto-avsr: Audio-visual speech recognition with automatic labels,.

DESign: Dynamic Context-Aware Convolution and Efficient Subnet Regularization for Continuous Sign Language Recognition Auto-avsr: Audio-visual speech recognition with automatic labels,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:17:24.829162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4df6146c-6541-4d85-9a60-129bb94a3084 · outbound

This paper cites End-to-end audio-visual speech recognition with conformers,.

DESign: Dynamic Context-Aware Convolution and Efficient Subnet Regularization for Continuous Sign Language Recognition End-to-end audio-visual speech recognition with conformers,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:17:24.680126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2b4c250a-08d5-4ac8-bbc2-32cd82550c63 · outbound

This paper cites Relaxing the Conditional Independence Assumption of CTC-based ASR by Conditioning on Intermediate Predictions.

DESign: Dynamic Context-Aware Convolution and Efficient Subnet Regularization for Continuous Sign Language Recognition Relaxing the Conditional Independence Assumption of CTC-based ASR by Conditioning on Intermediate Predictions

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-06T20:17:16.008587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60c7b0b8-d7f1-4e82-98fe-90d7febd7681 · outbound

This paper cites Re-sign: Re-aligned end-to-end sequence modelling with deep recurrent cnn-hmms,.

DESign: Dynamic Context-Aware Convolution and Efficient Subnet Regularization for Continuous Sign Language Recognition Re-sign: Re-aligned end-to-end sequence modelling with deep recurrent cnn-hmms,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:17:24.508103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4ced9555-5c31-448f-9925-ea21fb7168ad · outbound

This paper cites Weakly supervised learning with multi-stream cnn-lstm-hmms to discover sequential paral- lelism in sign language videos,.

DESign: Dynamic Context-Aware Convolution and Efficient Subnet Regularization for Continuous Sign Language Recognition Weakly supervised learning with multi-stream cnn-lstm-hmms to discover sequential paral- lelism in sign language videos,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:17:24.346439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6f584b69-d2d6-4da6-91de-1c48fad57c39 · outbound

This paper cites Distilling cross-temporal contexts for continuous sign language recognition,.

DESign: Dynamic Context-Aware Convolution and Efficient Subnet Regularization for Continuous Sign Language Recognition Distilling cross-temporal contexts for continuous sign language recognition,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:17:24.216630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 13e3d18b-0b27-4085-93b6-1845aef1390e · outbound

This paper cites SignVTCL: Multi-Modal Continuous Sign Language Recognition Enhanced by Visual-Textual Contrastive Learning.

DESign: Dynamic Context-Aware Convolution and Efficient Subnet Regularization for Continuous Sign Language Recognition SignVTCL: Multi-Modal Continuous Sign Language Recognition Enhanced by Visual-Textual Contrastive Learning

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-06T20:17:16.332385Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8670fa75-4010-40cf-9b73-33d3d8e59270 · outbound

This paper cites Condconv: Conditionally parameterized convolutions for efficient inference,.

DESign: Dynamic Context-Aware Convolution and Efficient Subnet Regularization for Continuous Sign Language Recognition Condconv: Conditionally parameterized convolutions for efficient inference,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:17:24.094184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1ec0332c-499b-4e1c-8523-3223af84fb91 · outbound

This paper cites Bi-volution: a static and dynamic coupled filter,.

DESign: Dynamic Context-Aware Convolution and Efficient Subnet Regularization for Continuous Sign Language Recognition Bi-volution: a static and dynamic coupled filter,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:17:23.935723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f229d1b1-3cc8-48fe-999a-88607b28c6b9 · outbound

This paper cites A dynamic convolutional layer for short range weather prediction,.

DESign: Dynamic Context-Aware Convolution and Efficient Subnet Regularization for Continuous Sign Language Recognition A dynamic convolutional layer for short range weather prediction,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:17:23.805587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 90f84a98-35f6-4479-8184-66c5e826eae1 · outbound

This paper cites HyperNetworks.

DESign: Dynamic Context-Aware Convolution and Efficient Subnet Regularization for Continuous Sign Language Recognition HyperNetworks

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-06T20:17:16.791747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a82afbe7-20a7-4fa1-9347-6d4ac3e71dad · outbound

This paper cites Connection- ist temporal classification: labelling unsegmented sequence data with recurrent neural networks,.

DESign: Dynamic Context-Aware Convolution and Efficient Subnet Regularization for Continuous Sign Language Recognition Connection- ist temporal classification: labelling unsegmented sequence data with recurrent neural networks,

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-06T20:17:16.878904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b331859-ecda-4c7e-9f4f-77731cf6666c · outbound

This paper cites InterAug: Augmenting Noisy Intermediate Predictions for CTC-based ASR.

DESign: Dynamic Context-Aware Convolution and Efficient Subnet Regularization for Continuous Sign Language Recognition InterAug: Augmenting Noisy Intermediate Predictions for CTC-based ASR

Reference 49

Resolution: verified exact; local_arxiv, observed 2026-08-06T20:17:19.355902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 865007d9-3dc4-4248-8b4c-9ed4d19647ea · outbound

This paper cites CR-CTC: Consistency regularization on CTC for improved speech recognition.

DESign: Dynamic Context-Aware Convolution and Efficient Subnet Regularization for Continuous Sign Language Recognition CR-CTC: Consistency regularization on CTC for improved speech recognition

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-06T20:17:17.086136Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd2b71f8-cb12-4bb4-9412-92d2c4f6411f · outbound

This paper cites Boundary and context aware training for cif-based non-autoregressive end-to-end asr,.

DESign: Dynamic Context-Aware Convolution and Efficient Subnet Regularization for Continuous Sign Language Recognition Boundary and context aware training for cif-based non-autoregressive end-to-end asr,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:17:23.638803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 229927f7-a7da-439a-97ad-7fd423266d32 · outbound

This paper cites Cass-nat: Ctc alignment-based single step non-autoregressive transformer for speech recognition,.

DESign: Dynamic Context-Aware Convolution and Efficient Subnet Regularization for Continuous Sign Language Recognition Cass-nat: Ctc alignment-based single step non-autoregressive transformer for speech recognition,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:17:23.450263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 579dc439-463e-415e-b504-db82fd98d929 · outbound

This paper cites Knowledge Transfer from Pre-trained Language Models to Cif-based Speech Recognizers via Hierarchical Distillation.

DESign: Dynamic Context-Aware Convolution and Efficient Subnet Regularization for Continuous Sign Language Recognition Knowledge Transfer from Pre-trained Language Models to Cif-based Speech Recognizers via Hierarchical Distillation

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-06T20:17:17.444801Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee1a4022-89ce-43f5-ba2e-b7085fe31836 · outbound

This paper cites Cif: Continuous integrate-and-fire for end-to- end speech recognition,.

DESign: Dynamic Context-Aware Convolution and Efficient Subnet Regularization for Continuous Sign Language Recognition Cif: Continuous integrate-and-fire for end-to- end speech recognition,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:17:23.201088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c604c4a4-6075-473b-a7a9-f9eb16e9aa87 · outbound

This paper cites Advances in Joint CTC-Attention based End-to-End Speech Recognition with a Deep CNN Encoder and RNN-LM.

DESign: Dynamic Context-Aware Convolution and Efficient Subnet Regularization for Continuous Sign Language Recognition Advances in Joint CTC-Attention based End-to-End Speech Recognition with a Deep CNN Encoder and RNN-LM

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-06T20:17:17.579335Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 19bf9826-b087-4981-84f6-5f9145df8d85 · outbound

This paper cites Squeeze-and-excitation networks,.

DESign: Dynamic Context-Aware Convolution and Efficient Subnet Regularization for Continuous Sign Language Recognition Squeeze-and-excitation networks,

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-06T20:17:17.650840Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ab116a6-5ae2-491f-96c3-9ed5bc92a77d · outbound

This paper cites Subunets: End-to-end hand shape and continuous sign language recognition,.

DESign: Dynamic Context-Aware Convolution and Efficient Subnet Regularization for Continuous Sign Language Recognition Subunets: End-to-end hand shape and continuous sign language recognition,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:17:23.007544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e3c867bc-9cb7-43ac-b2e5-7adf271e9a26 · outbound

This paper cites Adabrowse: Adaptive video browser for efficient continuous sign language recognition,.

DESign: Dynamic Context-Aware Convolution and Efficient Subnet Regularization for Continuous Sign Language Recognition Adabrowse: Adaptive video browser for efficient continuous sign language recognition,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:17:22.782832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 59e39ed6-cbf4-472a-9e8d-c81a461fceed · outbound

This paper cites Slowfast network for continuous sign language recognition,.

DESign: Dynamic Context-Aware Convolution and Efficient Subnet Regularization for Continuous Sign Language Recognition Slowfast network for continuous sign language recognition,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:17:22.451427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 62b670a5-56a3-4d79-983e-702eec5c3e73 · outbound

This paper cites Signgraph: A sign sequence is worth graphs of nodes,.

DESign: Dynamic Context-Aware Convolution and Efficient Subnet Regularization for Continuous Sign Language Recognition Signgraph: A sign sequence is worth graphs of nodes,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:17:22.281907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e4274921-35d9-4cb2-84fd-7b6c4bac137d · outbound

This paper cites Signbert+: Hand-model-aware self-supervised pre-training for sign language understanding,.

DESign: Dynamic Context-Aware Convolution and Efficient Subnet Regularization for Continuous Sign Language Recognition Signbert+: Hand-model-aware self-supervised pre-training for sign language understanding,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:17:22.111703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation eb9b9ce4-de60-4d88-a50a-1c246635c784 · outbound

This paper cites Gloss prior guided visual feature learning for continuous sign language recog- nition,.

DESign: Dynamic Context-Aware Convolution and Efficient Subnet Regularization for Continuous Sign Language Recognition Gloss prior guided visual feature learning for continuous sign language recog- nition,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:17:21.870440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2a5ea329-bf02-42ac-94f7-fdd7f043cc6d · outbound

This paper cites Continuous sign language recognition: Towards large vocabulary statistical recognition systems handling multiple signers,.

DESign: Dynamic Context-Aware Convolution and Efficient Subnet Regularization for Continuous Sign Language Recognition Continuous sign language recognition: Towards large vocabulary statistical recognition systems handling multiple signers,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:17:21.678510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c1258b18-6f8f-4e1b-8229-6f3467c0467e · outbound

This paper cites Neural sign language translation,.

DESign: Dynamic Context-Aware Convolution and Efficient Subnet Regularization for Continuous Sign Language Recognition Neural sign language translation,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:17:21.525747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6f917302-e791-47db-8f2c-b4376c936f59 · outbound

This paper cites Improving sign language translation with monolingual data by sign back-translation,.

DESign: Dynamic Context-Aware Convolution and Efficient Subnet Regularization for Continuous Sign Language Recognition Improving sign language translation with monolingual data by sign back-translation,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:17:21.342153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 42dcae62-6c5d-4537-b16f-0dd60bab11fd · outbound

This paper cites Deep residual learning for image recognition,.

DESign: Dynamic Context-Aware Convolution and Efficient Subnet Regularization for Continuous Sign Language Recognition Deep residual learning for image recognition,

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:17:21.202103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 09f7b267-34c2-4b59-8330-ad67f755974d · outbound

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

DESign: Dynamic Context-Aware Convolution and Efficient Subnet Regularization for Continuous Sign Language Recognition Imagenet: A large-scale hierarchical image database,

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:17:21.083917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7ef078d2-fc1f-4f01-8271-95b3515bb05f · outbound

This paper cites Video- based sign language recognition without temporal segmentation,.

DESign: Dynamic Context-Aware Convolution and Efficient Subnet Regularization for Continuous Sign Language Recognition Video- based sign language recognition without temporal segmentation,

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:17:20.909450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3deea2bd-318d-4482-8627-e3c90da6b12c · outbound

This paper cites Swin-mstp: Swin transformer with multi- scale temporal perception for continuous sign language recognition,.

DESign: Dynamic Context-Aware Convolution and Efficient Subnet Regularization for Continuous Sign Language Recognition Swin-mstp: Swin transformer with multi- scale temporal perception for continuous sign language recognition,

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:17:20.780400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 27263585-69d2-4872-af2b-f1bb80d8b66c · outbound

This paper cites Uni-Sign: Toward Unified Sign Language Understanding at Scale.

DESign: Dynamic Context-Aware Convolution and Efficient Subnet Regularization for Continuous Sign Language Recognition Uni-Sign: Toward Unified Sign Language Understanding at Scale

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-06T20:17:18.670248Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f4858e31-ca22-4e94-967d-3b4d5f175b74 · outbound

This paper cites Slowfast networks for video recognition,.

DESign: Dynamic Context-Aware Convolution and Efficient Subnet Regularization for Continuous Sign Language Recognition Slowfast networks for video recognition,

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-06T20:17:18.742222Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d6907d6-b700-416e-baa8-914607a61d37 · outbound

This paper cites Rethinking spatiotem- poral feature learning: Speed-accuracy trade-offs in video classification,.

DESign: Dynamic Context-Aware Convolution and Efficient Subnet Regularization for Continuous Sign Language Recognition Rethinking spatiotem- poral feature learning: Speed-accuracy trade-offs in video classification,

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:17:20.652394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 02f3a784-e8b4-496d-a72c-27fe797c6c81 · outbound

This paper cites Grad-cam: Visual explanations from deep networks via gradient-based localization,.

DESign: Dynamic Context-Aware Convolution and Efficient Subnet Regularization for Continuous Sign Language Recognition Grad-cam: Visual explanations from deep networks via gradient-based localization,

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:17:20.438465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 87953fc7-d9ee-470e-be81-3419a2a662e3 · outbound

This paper cites Dynamical semantic enhancement network for continuous sign language recognition,.

DESign: Dynamic Context-Aware Convolution and Efficient Subnet Regularization for Continuous Sign Language Recognition Dynamical semantic enhancement network for continuous sign language recognition,

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:17:20.301245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 34e88a37-8fd4-42bf-92b7-d79665e219dd · outbound

This paper cites SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size.

DESign: Dynamic Context-Aware Convolution and Efficient Subnet Regularization for Continuous Sign Language Recognition SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-06T20:17:18.938101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e34a10a-62b1-4ef7-b2fb-26b9fc7ee703 · outbound

This paper cites Deep layer aggregation,.

DESign: Dynamic Context-Aware Convolution and Efficient Subnet Regularization for Continuous Sign Language Recognition Deep layer aggregation,

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:17:20.146408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 16e7a78c-48e5-48be-aad4-c2564bddeb12 · outbound

This paper cites 1 and Fig.

DESign: Dynamic Context-Aware Convolution and Efficient Subnet Regularization for Continuous Sign Language Recognition 1 and Fig

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:17:19.909142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ff48fd76-97ba-42f7-b215-e583f2d66ba9 · outbound

This paper cites an unresolved cited work.

DESign: Dynamic Context-Aware Convolution and Efficient Subnet Regularization for Continuous Sign Language Recognition Unresolved cited work

Reference 80

Resolution: unresolved; raw_fallback, observed 2026-08-06T20:17:19.793875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0be70a25-8c50-477f-8d49-55bfa3d72e6a · outbound

This paper cites Available: https://api.semanticscholar.org/CorpusID: 195443370.

DESign: Dynamic Context-Aware Convolution and Efficient Subnet Regularization for Continuous Sign Language Recognition Available: https://api.semanticscholar.org/CorpusID: 195443370

Reference 2019

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:17:26.643239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c51fa0e0-6a9e-4297-9123-7665ac4c28ac · outbound

This paper cites Available: https://api.semanticscholar.org/CorpusID: 260926078.

DESign: Dynamic Context-Aware Convolution and Efficient Subnet Regularization for Continuous Sign Language Recognition Available: https://api.semanticscholar.org/CorpusID: 260926078

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:17:22.634193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers