@inproceedings{samanvitha-etal-2026-signafusion,
title = "{S}igna{F}usion@{WSLP} 2026: Gated Vision{--}Language Adjudication and Multi-Expert Fusion for Isolated Sign Language Recognition",
author = "Samanvitha, Bolisetty and
Srivastava, Ojas and
Mishra, Pruthwik and
Chandaliya, Praveen Kumar",
editor = "Singh, Sanjeet and
Joshi, Abhinav and
Dattatreya, Pokala and
Artiaga, Keren and
Pujara, Khushi Jaydeep and
{\v{Z}}elezn{\'y}, Tom{\'a}{\v{s}} and
Gruber, Ivan and
Honz{\'i}k, Jakub and
Kamila, Sabyasachi and
Quiroga, Facundo Manuel and
Hr{\'u}z, Marek and
Hasanuzzaman, Mohammed and
Modi, Ashutosh",
booktitle = "Proceedings of the Second Workshop on Sign Language Processing",
month = oct,
year = "2026",
address = "Budapest, Hungary",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2026.wslp-1.23/",
pages = "237--242",
ISBN = "979-8-89176-488-0",
abstract = "We present our submissions to the WSLP 2026 Isolated Sign Language Recognition shared task. The task requires predicting the correct English gloss from a short Indian Sign Language video.\par Our approach first establishes a strong primary prediction using vision features and identifies uncertain cases using model disagreement and prediction confidence. Rather than allowing all available experts to influence every prediction, we selectively invoke auxiliary models for difficult cases and incorporate their evidence through constrained late-fusion strategies. This enables complementary appearance, pose, and vision-language information to be used when the primary prediction is uncertain while preserving reliable predictions for confident cases. We introduce a disagreement-gated Qwen2.5-VL model as an auxiliary decision-making module and further incorporate complementary appearance and pose experts through several constrained fusion strategies.\par The final system combines multiple fusion variants using reciprocal rank fusion and achieves 66.16{\%} Top-1 accuracy, 72.43{\%} Top-5 accuracy, and 73.19{\%} Top-10 accuracy on the blind test set"
}<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="samanvitha-etal-2026-signafusion">
<titleInfo>
<title>SignaFusion@WSLP 2026: Gated Vision–Language Adjudication and Multi-Expert Fusion for Isolated Sign Language Recognition</title>
</titleInfo>
<name type="personal">
<namePart type="given">Bolisetty</namePart>
<namePart type="family">Samanvitha</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Ojas</namePart>
<namePart type="family">Srivastava</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Pruthwik</namePart>
<namePart type="family">Mishra</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Praveen</namePart>
<namePart type="given">Kumar</namePart>
<namePart type="family">Chandaliya</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<originInfo>
<dateIssued>2026-10</dateIssued>
</originInfo>
<typeOfResource>text</typeOfResource>
<relatedItem type="host">
<titleInfo>
<title>Proceedings of the Second Workshop on Sign Language Processing</title>
</titleInfo>
<name type="personal">
<namePart type="given">Sanjeet</namePart>
<namePart type="family">Singh</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Abhinav</namePart>
<namePart type="family">Joshi</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Pokala</namePart>
<namePart type="family">Dattatreya</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Keren</namePart>
<namePart type="family">Artiaga</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Khushi</namePart>
<namePart type="given">Jaydeep</namePart>
<namePart type="family">Pujara</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Tomáš</namePart>
<namePart type="family">Železný</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Ivan</namePart>
<namePart type="family">Gruber</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Jakub</namePart>
<namePart type="family">Honzík</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Sabyasachi</namePart>
<namePart type="family">Kamila</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Facundo</namePart>
<namePart type="given">Manuel</namePart>
<namePart type="family">Quiroga</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Marek</namePart>
<namePart type="family">Hrúz</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Mohammed</namePart>
<namePart type="family">Hasanuzzaman</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Ashutosh</namePart>
<namePart type="family">Modi</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<originInfo>
<publisher>Association for Computational Linguistics</publisher>
<place>
<placeTerm type="text">Budapest, Hungary</placeTerm>
</place>
</originInfo>
<genre authority="marcgt">conference publication</genre>
<identifier type="isbn">979-8-89176-488-0</identifier>
</relatedItem>
<abstract>We present our submissions to the WSLP 2026 Isolated Sign Language Recognition shared task. The task requires predicting the correct English gloss from a short Indian Sign Language video.\par Our approach first establishes a strong primary prediction using vision features and identifies uncertain cases using model disagreement and prediction confidence. Rather than allowing all available experts to influence every prediction, we selectively invoke auxiliary models for difficult cases and incorporate their evidence through constrained late-fusion strategies. This enables complementary appearance, pose, and vision-language information to be used when the primary prediction is uncertain while preserving reliable predictions for confident cases. We introduce a disagreement-gated Qwen2.5-VL model as an auxiliary decision-making module and further incorporate complementary appearance and pose experts through several constrained fusion strategies.\par The final system combines multiple fusion variants using reciprocal rank fusion and achieves 66.16% Top-1 accuracy, 72.43% Top-5 accuracy, and 73.19% Top-10 accuracy on the blind test set</abstract>
<identifier type="citekey">samanvitha-etal-2026-signafusion</identifier>
<location>
<url>https://aclanthology.org/2026.wslp-1.23/</url>
</location>
<part>
<date>2026-10</date>
<extent unit="page">
<start>237</start>
<end>242</end>
</extent>
</part>
</mods>
</modsCollection>
%0 Conference Proceedings
%T SignaFusion@WSLP 2026: Gated Vision–Language Adjudication and Multi-Expert Fusion for Isolated Sign Language Recognition
%A Samanvitha, Bolisetty
%A Srivastava, Ojas
%A Mishra, Pruthwik
%A Chandaliya, Praveen Kumar
%Y Singh, Sanjeet
%Y Joshi, Abhinav
%Y Dattatreya, Pokala
%Y Artiaga, Keren
%Y Pujara, Khushi Jaydeep
%Y Železný, Tomáš
%Y Gruber, Ivan
%Y Honzík, Jakub
%Y Kamila, Sabyasachi
%Y Quiroga, Facundo Manuel
%Y Hrúz, Marek
%Y Hasanuzzaman, Mohammed
%Y Modi, Ashutosh
%S Proceedings of the Second Workshop on Sign Language Processing
%D 2026
%8 October
%I Association for Computational Linguistics
%C Budapest, Hungary
%@ 979-8-89176-488-0
%F samanvitha-etal-2026-signafusion
%X We present our submissions to the WSLP 2026 Isolated Sign Language Recognition shared task. The task requires predicting the correct English gloss from a short Indian Sign Language video.\par Our approach first establishes a strong primary prediction using vision features and identifies uncertain cases using model disagreement and prediction confidence. Rather than allowing all available experts to influence every prediction, we selectively invoke auxiliary models for difficult cases and incorporate their evidence through constrained late-fusion strategies. This enables complementary appearance, pose, and vision-language information to be used when the primary prediction is uncertain while preserving reliable predictions for confident cases. We introduce a disagreement-gated Qwen2.5-VL model as an auxiliary decision-making module and further incorporate complementary appearance and pose experts through several constrained fusion strategies.\par The final system combines multiple fusion variants using reciprocal rank fusion and achieves 66.16% Top-1 accuracy, 72.43% Top-5 accuracy, and 73.19% Top-10 accuracy on the blind test set
%U https://aclanthology.org/2026.wslp-1.23/
%P 237-242
Markdown (Informal)
[SignaFusion@WSLP 2026: Gated Vision–Language Adjudication and Multi-Expert Fusion for Isolated Sign Language Recognition](https://aclanthology.org/2026.wslp-1.23/) (Samanvitha et al., WSLP 2026)
ACL