ICCV 2021 Open Access Repository

Deep Multi-Task Learning in Computer Vision

In Defense of the Learning Without Forgetting for Task Incremental Learning: Guy Oren,

Lior Wolf; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Oren_2021_ICCV, author = {Oren, Guy and Wolf, Lior}, title = {In Defense of the Learning Without Forgetting for Task Incremental Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2021}, pages = {2209-2218} }
ConvNets vs. Transformers: Whose Visual Representations Are More Transferable?: Hong-Yu Zhou,

Chixiang Lu,

Sibei Yang,

Yizhou Yu; [pdf] [arXiv]
[bibtex]
@InProceedings{Zhou_2021_ICCV, author = {Zhou, Hong-Yu and Lu, Chixiang and Yang, Sibei and Yu, Yizhou}, title = {ConvNets vs. Transformers: Whose Visual Representations Are More Transferable?}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2021}, pages = {2230-2238} }
Multi-Modal RGB-D Scene Recognition Across Domains: Andrea Ferreri,

Silvia Bucci,

Tatiana Tommasi; [pdf]
[bibtex]
@InProceedings{Ferreri_2021_ICCV, author = {Ferreri, Andrea and Bucci, Silvia and Tommasi, Tatiana}, title = {Multi-Modal RGB-D Scene Recognition Across Domains}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2021}, pages = {2199-2208} }
MILA: Multi-Task Learning From Videos via Efficient Inter-Frame Attention: Donghyun Kim,

Tian Lan,

Chuhang Zou,

Ning Xu,

Bryan A. Plummer,

Stan Sclaroff,

Jayan Eledath,

Gérard Medioni; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Kim_2021_ICCV, author = {Kim, Donghyun and Lan, Tian and Zou, Chuhang and Xu, Ning and Plummer, Bryan A. and Sclaroff, Stan and Eledath, Jayan and Medioni, G\'erard}, title = {MILA: Multi-Task Learning From Videos via Efficient Inter-Frame Attention}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2021}, pages = {2219-2229} }
Concurrent Discrimination and Alignment for Self-Supervised Feature Learning: Anjan Dutta,

Massimiliano Mancini,

Zeynep Akata; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Dutta_2021_ICCV, author = {Dutta, Anjan and Mancini, Massimiliano and Akata, Zeynep}, title = {Concurrent Discrimination and Alignment for Self-Supervised Feature Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2021}, pages = {2189-2198} }
UniNet: A Unified Scene Understanding Network and Exploring Multi-Task Relationships Through the Lens of Adversarial Attacks: Naresh Kumar Gurulingan,

Elahe Arani,

Bahram Zonooz; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Gurulingan_2021_ICCV, author = {Gurulingan, Naresh Kumar and Arani, Elahe and Zonooz, Bahram}, title = {UniNet: A Unified Scene Understanding Network and Exploring Multi-Task Relationships Through the Lens of Adversarial Attacks}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2021}, pages = {2239-2248} }
Audio-Visual Transformer Based Crowd Counting: Usman Sajid,

Xiangyu Chen,

Hasan Sajid,

Taejoon Kim,

Guanghui Wang; [pdf] [arXiv]
[bibtex]
@InProceedings{Sajid_2021_ICCV, author = {Sajid, Usman and Chen, Xiangyu and Sajid, Hasan and Kim, Taejoon and Wang, Guanghui}, title = {Audio-Visual Transformer Based Crowd Counting}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2021}, pages = {2249-2259} }