Computer Vision and Pattern Recognition Papers

New Computer Vision and Pattern Recognition papers from image processing. Thank you to arXiv for use of its open access interoperability.

[Computer Vision and Pattern Recognition Papers @CSVisionPapers]

IMPose: Interactive Multi-person Pose Estimation with Dynamic Correction Propagation

Haoyang Ge, Jian Ma, Ziwen Wang, Qihe Wang, Jianqi Fan, Hongzhi Yu, Xingyu Chen, Kun Li
https://t.co/BJwMHZHKeO [𝚌𝚜.𝙲𝚅 𝚌𝚜.𝙷𝙲]

[Computer Vision and Pattern Recognition Papers @CSVisionPapers]

Evaluating Reasoning Fidelity in Visual Text Generation

Jiajun Hong, Jiawei Zhou
https://t.co/JYeHqJ0BfI [𝚌𝚜.𝙲𝚅 𝚌𝚜.𝙰𝙸 𝚌𝚜.𝙲𝙻]
💬Accepted at CVPR 2026 at the GRAIL-V (Grounded Retrieval and Agentic Intelligence for Vision-Language) workshop (non-archival track)

[Computer Vision and Pattern Recognition Papers @CSVisionPapers]

Adaptive Calibration for Fair and Performant Facial Recognition

Ryan Brown, Chris Russell
https://t.co/pCfjt5uE7E [𝚌𝚜.𝙲𝚅 𝚌𝚜.𝙰𝙸]

[Computer Vision and Pattern Recognition Papers @CSVisionPapers]

ChannelTok: Efficient Flexible-Length Vision Tokenization

Sukriti Paul, Arpit Bansal, Tom Goldstein
https://t.co/OvA3hc4PEb [𝚌𝚜.𝙲𝚅]

[Computer Vision and Pattern Recognition Papers @CSVisionPapers]

Imagine Before You Draw: Visual Prompt Engineering for Image Generation

Liyu Jia, Fengda Zhang, Jiachun Pan, Kesen Zhao, Saining Zhang, Wang Lin, Weijia Wu, Yue Liao, Aojun Zhou, Hanwang Zhang
https://t.co/benWIfyrk3 [𝚌𝚜.𝙲𝚅]

[Computer Vision and Pattern Recognition Papers @CSVisionPapers]

Radiomic Feature Selection Using Gradient Loss of Deep Neural Network for Lung Cancer Stage Detection

Hina Shakir, Mohammad Mohatram, Javeed Hussain, Syed Rizwan Ali, Muhammad Irfan Memon
https://t.co/ownkE6Z4Dm [𝚌𝚜.𝙲𝚅 𝚌𝚜.𝙻𝙶]

[Computer Vision and Pattern Recognition Papers @CSVisionPapers]

INTACT: Ego-Guided Typed Sparse Evidence Retrieval for Heterogeneous Collaborative Perception

Chen Li, Shengrong Yuan, Jialong Zuo, Xinzhong Zhu, Nong Sang, Changxin Gao
https://t.co/L5V8F0AmiF [𝚌𝚜.𝙲𝚅]

[Computer Vision and Pattern Recognition Papers @CSVisionPapers]

3DThinkVLA: Endowing Vision-Language-Action Models with Latent 3D Priors via 3D-Thinking-Guided Co-training

Jiaxin Shi, Xidong Zhang, Fucai Zhu, Zhe Li, Siyu Zhu, Weihao Yuan
https://t.co/aIl5dsQG8o [𝚌𝚜.𝙲𝚅 𝚌𝚜.𝚁𝙾]

[Computer Vision and Pattern Recognition Papers @CSVisionPapers]

Hyper-ICL: Attention Calibration with Hyperbolic Anchor Distillation for Multimodal In-Context Learning

Niloufar Alipour Talemi, Hossein Kashiani, …
https://t.co/AavZ1mIUH1 [𝚌𝚜.𝙲𝚅 𝚌𝚜.𝙻𝙶]
💬Accepted at the 43rd International Conference on Machine Learning (ICML 2026)

[Computer Vision and Pattern Recognition Papers @CSVisionPapers]

Stateful Visual Encoders for Vision-Language Models

Zirui Wang, Junwei Yu, Adam Yala, David M. Chan, Joseph E. Gonzalez, Trevor Darrell
https://t.co/dXRyr3WT61 [𝚌𝚜.𝙲𝚅 𝚌𝚜.𝙲𝙻 𝚌𝚜.𝙻𝙶]
💬Project: https://t.co/GUmRSR351R

[Computer Vision and Pattern Recognition Papers @CSVisionPapers]

DSA: Dynamic Step Allocation for Fast Autoregressive Video Generation

Thanh-Tung Le, Yunhan Zhao, Menglei Chai, Zhengyang Shen, Zhe Cao, Danhang Tang, Xiaohui Xie, Deying Kong
https://t.co/ul7NVEhXKt [𝚌𝚜.𝙲𝚅]

[Computer Vision and Pattern Recognition Papers @CSVisionPapers]

Implicit Fuzzification via Bounded Noise Injection for Robust Medical Image Segmentation

Bisheng Tang, Zhangfeng Ma, Chuchu Zhai, Feng Dong, Yaoqun Wu, Ammar Oad, Yifei Peng
https://t.co/RJSRn69t3d [𝚌𝚜.𝙲𝚅]

[Computer Vision and Pattern Recognition Papers @CSVisionPapers]

Motion-Guided Causal Disentanglement for Robust Multi-View Cine Cardiac MRI Diagnosis

Chuankai Xu, Cristiane De Carvalho Singulane, Mohammad Abuannadi, Stephen Chandler, Jeremy Slivnick, Karolina Zareba, Jane Cao, Vidya Nadig, …
https://t.co/uLTKwlqbIq [𝚌𝚜.𝙲𝚅 𝚌𝚜.𝙼𝙼]

[Computer Vision and Pattern Recognition Papers @CSVisionPapers]

Ultra-Fast Neural Video Compression

Jiahao Li, Wenxuan Xie, Zhaoyang Jia, Bin Li, Zongyu Guo, Xiaoyi Zhang, Yan Lu
https://t.co/AgeXOCyJ19 [𝚌𝚜.𝙲𝚅]
💬CVPR 2026

[Computer Vision and Pattern Recognition Papers @CSVisionPapers]

An Empirical Study of Data Scale, Model Complexity, and Input Modalities in Visual Generalization

Luoyidi Zhou
https://t.co/Uuy5nh1dnu [𝚌𝚜.𝙲𝚅 𝚌𝚜.𝙰𝙸 𝚌𝚜.𝙻𝙶]

[Computer Vision and Pattern Recognition Papers @CSVisionPapers]

Representation Forcing for Bottleneck-Free Unified Multimodal Models

Yuqing Wang, Zhijie Lin, Ceyuan Yang, Yang Zhao, Fei Xiao, Hao He, Qi Zhao, Zihan Ding, Fuyun Wang, Shuai Wang, Youliang Zhang, …
https://t.co/4VrLxq2QMl [𝚌𝚜.𝙲𝚅]
💬Project: https://t.co/JkhLlTEPnD

[Computer Vision and Pattern Recognition Papers @CSVisionPapers]

Lumos-Nexus: Efficient Frequency Bridging with Homogeneous Latent Space for Video Unified Models

Jiazheng Xing, Hangjie Yuan, Lingling Cai, Xinyu Liu, Yujie Wei, Fei Du, Hai Ci, Tao Feng, …
https://t.co/ibJrahZ2j4 [𝚌𝚜.𝙲𝚅 𝚌𝚜.𝙰𝙸]
💬Code: https://t.co/b8auIXTdKi)

[Computer Vision and Pattern Recognition Papers @CSVisionPapers]

Linear Scaling Video VLMs for Long Video Understanding

Cristobal Eyzaguirre, Jiajun Wu, Juan Carlos Niebles
https://t.co/jY5RzGHM5L [𝚌𝚜.𝙲𝚅]

[Computer Vision and Pattern Recognition Papers @CSVisionPapers]

SOCO: Benchmarking Semantic Object Correspondence in Vision Foundation Models

Olaf Dünkel, Basavaraj Sunagad, Haoran Wang, David T. Hoffmann, Christian Theobalt, Adam Kortylewski
https://t.co/T2YpwId2ma [𝚌𝚜.𝙲𝚅]
💬Project: https://t.co/tneHGFSwzW

[Computer Vision and Pattern Recognition Papers @CSVisionPapers]

KLIP: localized distribution shift detection via KL-divergence with diffusion priors in Inverse Problems

Alireza Kheirandish, Jihoon Hong, Sara Fridovich-Keil
https://t.co/IxGbn1pzr7 [𝚌𝚜.𝙲𝚅 𝚌𝚜.𝙻𝙶]
💬CVPR 2026