Accepted Papers

Workshop Track 

Archival Papers

• Lemkhenter, Abdelhak; Wang, Manchen; Zancato, Luca; Swaminathan, Gurumurthy; Favaro, Paolo; Modolo, Davide, "SemiGPC: Distribution-Aware Label Refinement for Imbalanced Semi-Supervised Learning Using Gaussian Processes"

• Guirguis, Karim; Eskandar, George; Wang, Mingyang; Kayser, Matthias; Monari, Eduardo; Yang, Bin; Beyerer, Jürgen, "Uncertainty-based Forgetting Mitigation for Generalized Few-Shot Object Detection"

• Nebbia, Giacomo; Kovashka, Adriana, "Image-caption difficulty for efficient weakly-supervised object detection from in-the-wild data"

• Wu, Qiangqiang; Chan, Antoni, "Learning Tracking Representations from Single Point Annotations"

• Rongali, Sai Bhargav; Mehrotra, Sarthak; Jha, Ankit; N C, Mohamad Hassan; Bose, Shirsha; Gupta, Tanisha; Singha, Mainak; Banerjee, Biplab, "CDAD-Net: Bridging Domain Gaps in Generalized Category Discovery"

• Kurzendörfer, David; Mercea, Otniel-Bogdan; Koepke, A. Sophia; Akata, Zeynep, "Audio-Visual Generalized Zero-Shot Learning using Pre-Trained Large Multi-Modal Models"

• Han, Pengxiao; Ye, Changkun; Zhou, Jieming; Zhang, Jing; Hong, Jie; li, Xuesong, "Latent-based Diffusion Model for Long-tailed Recognition"

• Pan, Fei; Yin, Xu; Lee, Seokju; Niu, Axi; Yoon, Sung-eui; Kweon, In So, "MoDA: Leveraging Motion Priors from Videos for Advancing Unsupervised Domain Adaptation in Semantic Segmentation"

• Menta, Tarun Ram; Jandial, Surgan; Patil, Akash S; Bachu, Saketh; K B, Vimal; N Balasubramanian, Vineeth; Krishnamurthy, Balaji; Sarkar, Mausoom; Agarwal, Chirag, "Active Transferability Estimation"

• Huang, Shuaiyi; Huang, De-An; Yu, Zhiding; Lan, Shiyi; Radhakrishnan, Subhashree; Alvarez, Jose M; Shrivastava, Abhinav; Anandkumar, Animashree, "What is Point Supervision Worth in Video Instance Segmentation?"

• Huang, Shuaiyi; Suri, Saksham; Gupta, Kamal; Rambhatla, Sai Saketh; Lim, Ser-Nam; Shrivastava, Abhinav, "UVIS: Unsupervised Video Instance Segmentation"

• Kalluri, Tarun; Wang, Weiyao; Wang, Heng; Torresani, Lorenzo; Chandraker, Manmohan; Tran, Du, "Open-world Instance Segmentation: Top-down Learning with Bottom-up Supervision"

• Hu, Xin; Li, Kai; Patel, Deep A; Kruus, Erik J; Min, Martin Renqiang; Ding, Zhengming, "Weakly-Supervised Temporal Action Localization with Multi-Modal Plateau Transformers"

• Myers, Adele; Miolane, Nina, "On Accuracy and Speed of Geodesic Regression: Do Geometric Priors Improve Learning on Small Datasets?"

• Raine, Scarlett; Marchant, Ross; Kusy, Brano; Maire, Frederic; Suenderhauf, Niko; Fischer, Tobias, "Human-in-the-Loop Segmentation of Multi-species Coral Imagery"

• Huang, Yuxiang; Zelek, John; Chen, Yuhao, "Zero-Shot Monocular Motion Segmentation in the Wild by Combining Deep Learning with Geometric Motion Model Fusion" 

Non-Archival Papers

• Hoyer, Lukas; Tan, David Joseph New; Naeem, Muhammad Ferjad; Van Gool, Luc; Tombari, Federico, "SemiVL: Semi-Supervised Semantic Segmentation with Vision-Language Guidance" 

Challenge Track

• Li, Zhuohong, "Generalized Few-Shot Meets Remote Sensing: Discovering Novel Segmentation Classes in High-resolution Land-cover Mapping"

• Immanuel, Steve A; Sinulingga, Hagai R, "Learnable Prompt for Few-Shot Semantic Segmentation in Remote Sensing Domain"

• Wang, Shihong; Liu, Ruixun; Li, Kaiyu; Jiang, Jiawei; Meng, Deyu; Cao, Xiangyong, "Class Similarity Transition: Decoupling Class Similarities and Imbalance from Generalized Few-shot Segmentation"

• Gao, Tianyi; Ao, Wei; Wang, Xing-ao; Ma, Ping; Zhao, Yuanhao; Xie, Mengjie; Fu, Hang; Ren, Jinchang; Gao, Zhi, "Enrich, Distill and Fuse: Generalized Few-Shot Semantic Segmentation in Remote Sensing Leveraging Foundation Model's Assistance"

• Tong, Jintao; Zhou, Haichen; Liu, Yicong; Hu, Yiman; Zou, Yixiong, "Dynamic Knowledge Adapter with Probabilistic Calibration for Generalized Few-shot Semantic Segmentation"