Revolutionizing the World of Retail


DualFit: A Two-Stage Virtual Try-On via Warping and Synthesis
Minh Tran,
Johnmark Clements,
Annie Prasanna Manoharan,
Tri Nguyen,
Ngan Le
[pdf]
[bibtex]
@InProceedings{Tran_2025_ICCV, author = {Tran, Minh and Clements, Johnmark and Manoharan, Annie Prasanna and Nguyen, Tri and Le, Ngan}, title = {DualFit: A Two-Stage Virtual Try-On via Warping and Synthesis}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {2397-2407} }

RetailAction: Dataset for Multi-View Spatio-Temporal Localization of Human-Object Interactions in Retail
Davide Mazzini,
Alberto Raimondi,
Bruno Abbate,
Daniel Fischetti,
David Woollard
[pdf] [supp]
[bibtex]
@InProceedings{Mazzini_2025_ICCV, author = {Mazzini, Davide and Raimondi, Alberto and Abbate, Bruno and Fischetti, Daniel and Woollard, David}, title = {RetailAction: Dataset for Multi-View Spatio-Temporal Localization of Human-Object Interactions in Retail}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {2379-2387} }

Sari Sandbox: A Virtual Retail Store Environment for Embodied AI Agents
Janika Deborah Gajo,
Gerarld Paul Merales,
Jerome Escarcha,
Brenden Ashley Molina,
Gian Nartea,
Emmanuel G. Maminta,
Juan Carlos Roldan,
Rowel O. Atienza
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Gajo_2025_ICCV, author = {Gajo, Janika Deborah and Merales, Gerarld Paul and Escarcha, Jerome and Molina, Brenden Ashley and Nartea, Gian and Maminta, Emmanuel G. and Roldan, Juan Carlos and Atienza, Rowel O.}, title = {Sari Sandbox: A Virtual Retail Store Environment for Embodied AI Agents}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {2369-2378} }

Relative Pose Regression with Pose Auto-Encoders: Enhanced Accuracy and Data Efficiency for Retail Applications
Yoli Shavit,
Yosi Keller
[pdf]
[bibtex]
@InProceedings{Shavit_2025_ICCV, author = {Shavit, Yoli and Keller, Yosi}, title = {Relative Pose Regression with Pose Auto-Encoders: Enhanced Accuracy and Data Efficiency for Retail Applications}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {2388-2396} }

HyperVLM: Hyperbolic Space Guided Vision Language Modeling for Hierarchical Multi-Modal Understanding
Sarthak Srivastava,
Kathy Wu
[pdf]
[bibtex]
@InProceedings{Srivastava_2025_ICCV, author = {Srivastava, Sarthak and Wu, Kathy}, title = {HyperVLM: Hyperbolic Space Guided Vision Language Modeling for Hierarchical Multi-Modal Understanding}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {2347-2358} }

Recommendation By Generation: Generation Augmented Complementary Fashion Item Retrieval Using Incomplete Outfit
Gaurab Bhattacharya,
Vivek B S,
P. Rajith Bhargav,
Jayavardhana Gubbi,
Bagyalakshmi V,
Arpan Pal
[pdf]
[bibtex]
@InProceedings{Bhattacharya_2025_ICCV, author = {Bhattacharya, Gaurab and S, Vivek B and Bhargav, P. Rajith and Gubbi, Jayavardhana and V, Bagyalakshmi and Pal, Arpan}, title = {Recommendation By Generation: Generation Augmented Complementary Fashion Item Retrieval Using Incomplete Outfit}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {2337-2346} }

SGBD: Sharpness-Aware Mirror Gradient with BLIP-Based Denoising for Robust Multimodal Product Recommendation
Sarthak Srivastava,
Kathy Wu
[pdf]
[bibtex]
@InProceedings{Srivastava_2025_ICCV, author = {Srivastava, Sarthak and Wu, Kathy}, title = {SGBD: Sharpness-Aware Mirror Gradient with BLIP-Based Denoising for Robust Multimodal Product Recommendation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {2359-2368} }