Papers
WaveNeRF: Wavelet-based Generalizable Neural Radiance Fields
Muyu Xu, Fangneng Zhan, Jiahui Zhang et al.
WDiscOOD: Out-of-Distribution Detection via Whitened Linear Discriminant Analysis
Yiye Chen, Yunzhi Lin, Ruinian Xu et al.
Weakly-supervised 3D Pose Transfer with Keypoints
Jinnan Chen, Chen Li, Gim Hee Lee
Weakly-Supervised Action Localization by Hierarchically-Structured Latent Attention Modeling
Guiqin Wang, Peng Zhao, Cong Zhao et al.
Weakly-Supervised Action Segmentation and Unseen Error Detection in Anomalous Instructional Videos
Reza Ghoddoosian, Isht Dwivedi, Nakul Agarwal et al.
Weakly Supervised Learning of Semantic Correspondence through Cascaded Online Correspondence Refinement
Yiwen Huang, Yixuan Sun, Chenghang Lai et al.
Weakly Supervised Referring Image Segmentation with Intra-Chunk and Inter-Chunk Consistency
Jungbeom Lee, Sungjin Lee, Jinseok Nam et al.
Weakly-Supervised Text-Driven Contrastive Learning for Facial Behavior Understanding
Xiang Zhang, Taoyue Wang, Xiaotian Li et al.
What Can a Cook in Italy Teach a Mechanic in India? Action Recognition Generalisation Over Scenarios and Locations
Chiara Plizzari, Toby Perrett, Barbara Caputo et al.
What can Discriminator do? Towards Box-free Ownership Verification of Generative Adversarial Networks
Ziheng Huang, Boheng Li, Yan Cai et al.
What Can Simple Arithmetic Operations Do for Temporal Modeling?
Wenhao Wu, Yuxin Song, Zhun Sun et al.
What Does a Platypus Look Like? Generating Customized Prompts for Zero-Shot Image Classification
Sarah Pratt, Ian Covert, Rosanne Liu et al.
What does CLIP know about a red circle? Visual prompt engineering for VLMs
Aleksandar Shtedritski, Christian Rupprecht, Andrea Vedaldi
What do neural networks learn in image classification? A frequency shortcut perspective
Shunxin Wang, Raymond Veldhuis, Christoph Brune et al.
When Do Curricula Work in Federated Learning?
Saeed Vahidian, Sreevatsank Kadaveru, Woonjoon Baek et al.
When Epipolar Constraint Meets Non-Local Operators in Multi-View Stereo
Tianqi Liu, Xinyi Ye, Weiyue Zhao et al.
When Noisy Labels Meet Long Tail Dilemmas: A Representation Calibration Method
Manyi Zhang, Xuyang Zhao, Jun Yao et al.
When Prompt-based Incremental Learning Does Not Meet Strong Pretraining
Yu-Ming Tang, Yi-Xing Peng, Wei-Shi Zheng
When to Learn What: Model-Adaptive Data Augmentation Curriculum
Chengkai Hou, Jieyu Zhang, Tianyi Zhou
Who Are You Referring To? Coreference Resolution In Image Narrations
Arushi Goel, Basura Fernando, Frank Keller et al.
Why do networks have inhibitory/negative connections?
Qingyang Wang, Mike A. Powell, Ali Geisa et al.
Why Is Prompt Tuning for Vision-Language Models Robust to Noisy Labels?
Cheng-En Wu, Yu Tian, Haichao Yu et al.
Will Large-scale Generative Models Corrupt Future Datasets?
Ryuichiro Hataya, Han Bao, Hiromi Arai
Window-Based Early-Exit Cascades for Uncertainty Estimation: When Deep Ensembles are More Efficient than Single Models
Guoxuan Xia, Christos-Savvas Bouganis
With a Little Help from Your Own Past: Prototypical Memory Networks for Image Captioning
Manuele Barraco, Sara Sarto, Marcella Cornia et al.