| 2024 | Generative Powers of Ten. | Xiaojuan Wang, Janne Kontkanen, Brian Curless, Steven M. Seitz, Ira Kemelmacher-Shlizerman, Ben Mildenhall, Pratul P. Srinivasan, Dor Verbin, Aleksander Holynski |
| 2024 | DGC-GNN: Leveraging Geometry and Color Cues for Visual Descriptor-Free 2D-3D Matching. | Shuzhe Wang, Juho Kannala, Daniel Barath |
| 2024 | Learn to Rectify the Bias of CLIP for Unsupervised Semantic Segmentation. | Jingyun Wang, Guoliang Kang |
| 2024 | LLM-Seg: Bridging Image Segmentation and Large Language Model Reasoning. | Junchi Wang, Lei Ke |
| 2024 | VGGSfM: Visual Geometry Grounded Deep Structure from Motion. | Jianyuan Wang, Nikita Karaev, Christian Rupprecht, David Novotn |
| 2024 | GLACE: Global Local Accelerated Coordinate Encoding. | Fangjinhua Wang, Xudong Jiang, Silvano Galliani, Christoph Vogel, Marc Pollefeys |
| 2024 | Epistemic Uncertainty Quantification for Pretrained Neural Networks. | Hanjing Wang, Qiang Ji |
| 2024 | Inverse Rendering of Glossy Objects via the Neural Plenoptic Function and Radiance Fields. | Haoyuan Wang, Wenbo Hu, Lei Zhu, Rynson W. H. Lau |
| 2024 | USE: Universal Segment Embeddings for Open-Vocabulary Image Segmentation. | Xiaoqi Wang, Wenbin He, Xiwei Xuan, Clint Sebastian, Jorge Piazentin Ono, Xin Li, Sima Behpour, Thang Doan, Liang Gou, Han-Wei Shen, Liu Ren |
| 2024 | Boosting Adversarial Transferability by Block Shuffle and Rotation. | Kunyu Wang, Xuanran He, Wenxuan Wang, Xiaosen Wang |
| 2024 | Efficient LoFTR: Semi-Dense Local Feature Matching with Sparse-Like Speed. | Yifan Wang, Xingyi He, Sida Peng, Dongli Tan, Xiaowei Zhou |
| 2024 | Vision-and-Language Navigation via Causal Learning. | Liuyi Wang, Zongtao He, Ronghao Dang, Mengjiao Shen, Chengju Liu, Qijun Chen |
| 2024 | Progressive Divide-and-Conquer via Subsampling Decomposition for Accelerated MRI. | Chong Wang, Lanqing Guo, Yufei Wang, Hao Cheng, Yi Yu, Bihan Wen |
| 2024 | UFC-Net: Unrolling Fixed-point Continuous Network for Deep Compressive Sensing. | Xiaoyang Wang, Hongping Gan |
| 2024 | NTIRE 2024 Challenge on Stereo Image Super-Resolution: Methods and Results. | Longguang Wang, Yulan Guo, Juncheng Li, Hongda Liu, Yang Zhao, Yingqian Wang, Zhi Jin, Shuhang Gu, Radu Timofte |
| 2024 | Bilateral Adaptation for Human-Object Interaction Detection with Occlusion-Robustness. | Guangzhi Wang, Yangyang Guo, Ziwei Xu, Mohan S. Kankanhalli |
| 2024 | MMCert: Provable Defense Against Adversarial Attacks to Multi-Modal Models. | Yanting Wang, Hongye Fu, Wei Zou, Jinyuan Jia |
| 2024 | An Aggregation-Free Federated Learning for Tackling Data Heterogeneity. | Yuan Wang, Huazhu Fu, Renuga Kanagavelu, Qingsong Wei, Yong Liu, Rick Siow Mong Goh |
| 2024 | StereoDiffusion: Training-Free Stereo Image Generation Using Latent Diffusion Models. | Lezhong Wang, Jeppe Revall Frisvad, Mark Bo Jensen, Siavash Arjomand Bigdeli |
| 2024 | GaussianEditor: Editing 3D Gaussians Delicately with Text Instructions. | Junjie Wang, Jiemin Fang, Xiaopeng Zhang, Lingxi Xie, Qi Tian |
| 2024 | Skeleton-in-Context: Unified Skeleton Sequence Modeling with In-Context Learning. | Xinshun Wang, Zhongbin Fang, Xia Li, Xiangtai Li, Chen Chen, Mengyuan Liu |
| 2024 | Zero-TPrune: Zero-Shot Token Pruning Through Leveraging of the Attention Graph in Pre-Trained Transformers. | Hongjie Wang, Bhishma Dedhia, Niraj K. Jha |
| 2024 | Neural Modes: Self-supervised Learning of Nonlinear Modal Subspaces. | Jiahong Wang, Yinwei Du, Stelian Coros, Bernhard Thomaszewski |
| 2024 | PolarRec: Improving Radio Interferometric Data Reconstruction Using Polar Coordinates. | Ruoqi Wang, Zhuoyang Chen, Jiayi Zhu, Qiong Luo, Feng Wang |
| 2024 | CrossKD: Cross-Head Knowledge Distillation for Object Detection. | Jiabao Wang, Yuming Chen, Zhaohui Zheng, Xiang Li, Ming-Ming Cheng, Qibin Hou |