| 2025 | Unbiased Missing-Modality Multimodal Learning. | Ruiting Dai, Chenxi Li, Yandong Yan, Lisi Mo, Ke Qin, Tao He |
| 2025 | Refining Skewed Perceptions in Vision-Language Contrastive Models through Visual Representations. | Haocheng Dai, Sarang C. Joshi |
| 2025 | PropVG: End-To-End Proposal-Driven Visual Grounding with Multi-Granularity Discrimination. | Ming Dai, Wenxuan Cheng, Jiedong Zhuang, Jiang-jiang Liu, Hongshen Zhao, Zhenhua Feng, Wankou Yang |
| 2025 | DeRIS: Decoupling Perception and Cognition for Enhanced Referring Image Segmentation Through Loopback Synergy. | Ming Dai, Wenxuan Cheng, Jiang-Jiang Liu, Sen Yang, Wenxiao Cai, Yanpeng Sun, Wankou Yang |
| 2025 | Vision-Language Models Can't See the Obvious. | Yasser Dahou, Ngoc Dung Huynh, Phuc H. Le-Khac, Wamiq Reyaz Para, Ankit Singh, Sanath Narayan |
| 2025 | Metric Convolutions: A Unifying Theory to Adaptive Image Convolutions. | Thomas Dags, Michael Lindenbaum, Alfred M. Bruckstein |
| 2025 | Understanding Dataset Bias in Medical Imaging: A Case Study on Chest X-rays. | Ethan Dack, Chengliang Dai |
| 2025 | CLASP: Adaptive Spectral Clustering for Unsupervised Per-Image Segmentation. | Max Curie, Paulo da Costa |
| 2025 | Enpowering Your Pansharpening Models with Generalizability: Unified Distribution Is All You Need. | Yongchuan Cui, Peng Liu, Hui Zhang |
| 2025 | Debiased Teacher for Day-to-Night Domain Adaptive Object Detection. | Yiming Cui, Liang Li, Haibing Yin, Yuhan Gao, Yaoqi Sun, Chenggang Yan |
| 2025 | Using Human Perception to Regularize Transfer Learning. | Steve Cruz, Justin Dulay, Walter J. Scheirer |
| 2025 | Refining Naive Annotations with Limited Expert Guidance for Semantic Segmentation: A Case Study on Underwater Echograms. | Melissa Cote, Amanda Dash, Julek Chawarski, Alexandra Branzan Albu, Femina Senjaliya, Andrea Niemi |
| 2025 | SiM3D: Single-Instance Multiview Multimodal and Multisetup 3D Anomaly Detection Benchmark. | Alex Costanzino, Pierluigi Zama Ramirez, Luigi Lella, Matteo Ragaglia, Alessandro Oliva, Giuseppe Lisanti, Luigi Di Stefano |
| 2025 | In-Hoc Concept Representations to Regularise Deep Learning in Medical Imaging. | Valentina Corbetta, Floris Six Dijkstra, Regina Beets-Tan, Hoel Kervadec, Kristoffer Wickstrm, Wilson Silva |
| 2025 | ToF-Splatting: Dense SLAM Using Sparse Time-of-Flight Depth and Multi-Frame Integration. | Andrea Conti, Matteo Poggi, Valerio Cambareri, Martin R. Oswald, Stefano Mattoccia |
| 2025 | The Point is the Mask: Scaling Coral Reef Segmentation with Weak Supervision. | Matteo Contini, Victor Illien, Sylvain Poulain, Serge Bernard, Julien Barde, Sylvain Bonhommeau, Alexis Joly |
| 2025 | On Large Multimodal Models as Open-World Image Classifiers. | Alessandro Conti, Massimiliano Mancini, Enrico Fini, Yiming Wang, Paolo Rota, Elisa Ricci |
| 2025 | DyTact: Capturing Dynamic Contacts in Hand-Object Manipulation. | Xiaoyan Cong, Angela Xing, Chandradeep Pokhariya, Rao Fu, Srinath Sridhar |
| 2025 | Rethinking the Upsampling Process in Light Field Super-Resolution with Spatial-Epipolar Implicit Image Function. | Ruixuan Cong, Yu Wang, Mingyuan Zhao, Da Yang, Rongshan Chen, Hao Sheng |
| 2025 | PixTalk: Controlling Photorealistic Image Processing and Editing with Language. | Marcos V. Conde, Zihao Lu, Radu Timofte |
| 2025 | BeatFormer: Efficient Motion-Robust Remote Heart Rate Estimation Through Unsupervised Spectral Zoomed Attention Filters. | Joaquim Comas, Federico Sukno |
| 2025 | MonSTeR: A Unified Model for Motion, Scene, Text Retrieval. | Luca Collorone, Matteo Gioia, Massimiliano Pappa, Paolo Leoni, Giovanni Ficarra, Or Litany, Indro Spinelli, Fabio Galasso |
| 2025 | Linear Attention with Global Context: A Multipole Attention Mechanism for Vision and Physics. | Alex Colagrande, Paul Caillon, Eva Feillet, Alexandre Allauzen |
| 2025 | LLaVA-MORE: A Comparative Study of LLMs and Visual Backbones for Enhanced Visual Instruction Tuning. | Federico Cocchi, Nicholas Moratelli, Davide Caffagni, Sara Sarto, Lorenzo Baraldi, Marcella Cornia, Rita Cucchiara |
| 2025 | Sweating the Stress: GSR Insights into Cognitive Load and Distraction. | Santiago Clemente, Layla Varghese, Valentina Nino, Maria Valero |