IEEE Conference on Computer Vision and Pattern Recognition
CVPR
A*
CORE rank
CORE rank (raw)
A*
Acceptance rate
23.6% (2024)
Fields of research
Computer Vision and Multimedia Computation
Papers indexed
31,646
1988–2025
Papers per year
19883,543 peak2025
Most published authors
CVPR papers
31,646 records sourced from DBLP. Search titles, filter by year, sort by recency.
| Year | Title | Authors |
|---|---|---|
| 2025 | Seq2Time: Sequential Knowledge Transfer for Video LLM Temporal Grounding. | Andong Deng, Zhongpai Gao, Anwesa Choudhuri, Benjamin Planche, Meng Zheng, Bin Wang, Terrence Chen, Chen Chen, Ziyan Wu |
| 2025 | Motion-Grounded Video Reasoning: Understanding and Perceiving Motion at Pixel Level. | Andong Deng, Tongjia Chen, Shoubin Yu, Taojiannan Yang, Lincoln Spencer, Yapeng Tian, Ajmal Saeed Mian, Mohit Bansal, Chen Chen |
| 2025 | Pos3R: 6D Pose Estimation for Unseen Objects Made Easy. | Weijian Deng, Dylan Campbell, Chunyi Sun, Jiahao Zhang, Shubham Kanitkar, Matthew E. Shaffer, Stephen Gould |
| 2025 | CityGen: Infinite and Controllable City Layout Generation. | Jie Deng, Wenhao Chai, Jianshu Guo, Qixuan Huang, Junsheng Huang, Wenhao Hu, Shengyu Hao, Jenq-Neng Hwang, Gaoang Wang |
| 2025 | Words or Vision: Do Vision-Language Models Have Blind Faith in Text? | Ailin Deng, Tri Cao, Zhirui Chen, Bryan Hooi |
| 2025 | Acquire and then Adapt: Squeezing out Text-to-Image Model for Image Restoration. | Junyuan Deng, Xinyi Wu, Yongxing Yang, Congchao Zhu, Song Wang, Zhenyao Wu |
| 2025 | Studying Image Diffusion Features for Zero-Shot Video Object Segmentation. | Thanos Delatolas, Vicky Kalogeiton, Dim P. Papadopoulos |
| 2025 | Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models. | Matt Deitke, Christopher Clark, Sangho Lee, Rohun Tripathi, Yue Yang, Jae Sung Park, Mohammadreza Salehi, Niklas Muennighoff, Kyle Lo, Luca Soldaini, Jiasen Lu, Taira Anderson, Erin Bransom, Kiana Ehsani, Huong Ngo, Yen-Sung Chen, Ajay Patel, Mark Yatskar, Chris Callison-Burch, Andrew Head, Rose Hendrix, Favyen Bastani, Eli VanderBilt, Nathan Lambert, Yvonne Chou, Arnavi Chheda, Jenna Sparks, Sam Skjonsberg, Michael Schmitz, Aaron Sarnat, Byron Bischoff, Pete Walsh, Chris Newell, Piper Wolters, Tanmay Gupta, Kuo-Hao Zeng, Jon Borchardt, Dirk Groeneveld, Crystal Nam, Sophie Lebrecht, Caitlin Wittlif, Carissa Schoenick, Oscar Michel, Ranjay Krishna, Luca Weihs, Noah A. Smith, Hannaneh Hajishirzi, Ross B. Girshick, Ali Farhadi, Aniruddha Kembhavi |
| 2025 | RASP: Revisiting 3D Anamorphic Art for Shadow-Guided Packing of Irregular Objects. | Soumyaratna Debnath, Ashish Tiwari, Kaustubh Sadekar, Shanmuganathan Raman |
| 2025 | gMINT: Gradiant-based Membership Inference Test applied to Image Models. | Daniel DeAlcala, Aythami Morales, Julian Fierrez, Gonzalo Mancera, Ruben Tolosana |
| 2025 | FusedVision: A Knowledge-Infusing Approach for Practical Anomaly Detection in Real-world Surveillance Videos. | Khaled Waleed Dawoud, Zaigham Zaheer, Mustaqeem Khan, Karthik Nandakumar, Abdulmotaleb Elsaddik, Muhammad Haris Khan |
| 2025 | Nanoparticle Diameter Measurements With Event Camera Tracking. | Michael C. Daugherty, Matthew DiSalvo, Aaron Goldfain, Alexander Peterson, Edward Kwee, Thomas Germer, Gregory Cooksey, Jagat Budhathoki, Peter Bajcsy |
| 2025 | Spectral State Space Model for Rotation-Invariant Visual Representation Learning. | Sahar Dastani, Ali Bahri, Moslem Yazdanpanah, Mehrdad Noori, David Osowiechi, Gustavo Adolfo Vargas Hakim, Farzad Beizaee, Milad Cheraghalikhani, Arnab Kumar Mondal, Herve Lombaert, Christian Desrosiers |
| 2025 | Camouflage Anything: Learning to Hide using Controlled Out-painting and Representation Engineering. | Biplab Chandra Das, Viswanath Gopalakrishnan |
| 2025 | COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation. | Arnav M. Das, Gantavya Bhatt, Lilly Kumari, Sahil Verma, Jeff A. Bilmes |
| 2025 | CaMuViD: Calibration-Free Multi-View Detection. | Amir Etefaghi Daryani, M. Usman Maqbool Bhutta, Byron Hernandez, Henry Medeiros |
| 2025 | T-SAM: Transductive Learning for Segment Anything Model. | Rangel Daroya, Deepak Chandran, Subhransu Maji, Andrea Fanelli |
| 2025 | DepthCues: Evaluating Monocular Depth Perception in Large Vision Models. | Duolikun Danier, Mehmet Aygn, Changjian Li, Hakan Bilen, Oisin Mac Aodha |
| 2025 | ECBench: Can Multi-modal Foundation Models Understand the Egocentric World? A Holistic Embodied Cognition Benchmark. | Ronghao Dang, Yuqian Yuan, Wenqi Zhang, Yifei Xin, Boqiang Zhang, Long Li, Liuyi Wang, Qinyang Zeng, Xin Li, Lidong Bing |
| 2025 | Personalized Preference Fine-tuning of Diffusion Models. | Meihua Dang, Anikait Singh, Linqi Zhou, Stefano Ermon, Jiaming Song |
| 2025 | FASTer: Focal token Acquiring-and-Scaling Transformer for Long-term 3D Objection Detection. | Chenxu Dang, Zaipeng Duan, Pei An, Xinmin Zhang, Xuzhong Hu, Jie Ma |
| 2025 | Graph Neural Network Combining Event Stream and Periodic Aggregation for Low-Latency Event-based Vision. | Manon Dampfhoffer, Thomas Mesquida, Damien Joubert, Thomas Dalgaty, Pascal Vivet, Christoph Posch |
| 2025 | Learning to Filter Outlier Edges in Global SfM. | Nicole Damblon, Marc Pollefeys, Daniel Barath |
| 2025 | FluxSpace: Disentangled Semantic Editing in Rectified Flow Models. | Yusuf Dalva, Kavana Venkatesh, Pinar Yanardag |
| 2025 | Action Anticipation from SoccerNet Football Video Broadcasts. | Mohamad Dalal, Artur Xarles, Anthony Cioppa, Silvio Giancola, Marc Van Droogenbroeck, Bernard Ghanem, Albert Claps, Sergio Escalera, Thomas B. Moeslund |
2,826–2,850 of 31,646← PreviousNext →
Comparable venues
Other A*/A conferences filed under the same field of research.