Accepted Papers#

Our workshop includes a proceedings/archival track and a community/non-archival track. We are excited to host poster and lightning talk presentations of all contributed papers in both tracks.

For the poster session each paper has a number in 182–193.
For the lightning talks each paper has one slide in one minute in the talk deck.

Proceedings

P1. (#182). MixStyle-Based Contrastive Test-Time Adaptation: Pathway to Domain Generalization.
Kota Yamashita & Kazuhiro Hotta.
P2. (#183). Fully Test-time Adaptation for Object Detection.
Xiaoqian Ruan & Wei Tang.
P3. (#184). Test-time Specialization of Dynamic Neural Networks.
Sam Leroux, Dewant Katare, Aaron Ding, Pieter Simoens.
P4. (#185) ST2ST: Self-Supervised Test-time Adaptation for Video Action Recognition.
Masud An-Nur Islam Fahim, Mohammed Innat, Jani Boutellier.
P5. (#186) Unknown Sample Discovery for Source Free Open Set Domain Adaptation.
Chowdhury Sadman Jahan, Andreas Savakis.

Community

C1. (#187) Test-time Adaptation for Regression by Subspace Alignment.
Kazuki Adachi, Shin’ya Yamaguchi, Atsutoshi Kumagai.
C2. (#188) Just Shift It: Test-Time Prototype Shifting for Zero-Shot Generalization with Vision-Language Models.
Elaine Sui, Xiaohan Wang, Serena Yeung-Levy.
C3. (#189) Persistent Test-time Adaptation in Recurring Testing Scenarios.
Trung-Hieu Hoang, MinhDuc Vo, Minh N. Do.
C4. (#190) OT-VP: Optimal Transport-guided Visual Prompting for Test-Time Adaptation.
Yunbei Zhang, Akshay Mehra, Jihun Hamm.
C5. (#191) BECoTTA: Input-dependent Online Blending of Experts for Continual Test-time Adaptation.
Daeun Lee, Jaehong Yoon, Sung Ju Hwang.
C6. (#192) Adaptive Randomized Smoothing for Certified Multi-Step Defence.
Shadab Shaikh, Saiyue Lyu, Frederick Shpilevskiy, Evan Shelhamer, Mathias Lécuyer.
C7. (#193) A Lost Opportunity for Vision-Language Models: A Comparative Study of Online Test-time Adaptation for Vision-Language Models.
Mario Döbler, Robert A. Marsden, Tobias Raichle, Bin Yang.