All Papers

34,598 papers found • Page 87 of 692

DC-AR: Efficient Masked Autoregressive Image Generation with Deep Compression Hybrid Tokenizer

Yecheng Wu, Han Cai, Junyu Chen et al.

ICCV 2025arXiv:2507.04947
5
citations

DCBM: Data-Efficient Visual Concept Bottleneck Models

Katharina Prasse, Patrick Knab, Sascha Marton et al.

ICML 2025arXiv:2412.11576
8
citations

DCC: Differentiable Cardinality Constraints for Partial Index Tracking

Wooyeon Jo, Hyunsouk Cho

AAAI 2025paperarXiv:2412.17175
1
citations

DCcluster-Opt: Benchmarking Dynamic Multi-Objective Optimization for Geo-Distributed Data Center Workloads

Antonio Guillen-Perez, Avisek Naug, Vineet Gundecha et al.

NEURIPS 2025oralarXiv:2511.00117
2
citations

DC-ControlNet: Decoupling Inter- and Intra-Element Conditions in Image Generation with Diffusion Models

hongji yang, Wencheng Han, Yucheng Zhou et al.

ICCV 2025arXiv:2502.14779
5
citations

DCEvo: Discriminative Cross-Dimensional Evolutionary Learning for Infrared and Visible Image Fusion

Jinyuan Liu, Bowei Zhang, Qingyun Mei et al.

CVPR 2025arXiv:2503.17673
33
citations

DCHM: Depth-Consistent Human Modeling for Multiview Detection

Jiahao Ma, Tianyu Wang, Miaomiao Liu et al.

ICCV 2025arXiv:2507.14505

DCHM: Dynamic Collaboration of Heterogeneous Models Through Isomerism Learning in a Blockchain-Powered Federated Learning Framework

Zhihao Hao, Bob Zhang, Haisheng Li

AAAI 2025paper

DCI: Dual-Conditional Inversion for Boosting Diffusion-Based Image Editing

Zixiang Li, Haoyu Wang, Wei Wang et al.

NEURIPS 2025arXiv:2506.02560
1
citations

DCILP: A Distributed Approach for Large-Scale Causal Structure Learning

Shuyu Dong, Michele Sebag, Kento Uemura et al.

AAAI 2025paperarXiv:2406.10481
2
citations

DC-PCN: Point Cloud Completion Network with Dual-Codebook Guided Quantization

Qiuxia Wu, Haiyang Huang, Kunming Su et al.

AAAI 2025paperarXiv:2501.10966
3
citations

DCSF-KD: Dynamic Channel-wise Spatial Feature Knowledge Distillation for Object Detection

Tao Dai, Yang Lin, Hang Guo et al.

AAAI 2025paper
4
citations

DCT-CryptoNets: Scaling Private Inference in the Frequency Domain

Arjun Roy, Kaushik Roy

ICLR 2025arXiv:2408.15231
4
citations

DCTdiff: Intriguing Properties of Image Generative Modeling in the DCT Space

Mang Ning, Mingxiao Li, Jianlin Su et al.

ICML 2025arXiv:2412.15032
14
citations

DCTMamba: Advancing JPEG Image Restoration Through Long-Sequence Modeling and Adaptive Frequency Strategy

Xi Wang, Xueyang Fu, Liang Li et al.

AAAI 2025paper

DCT-Shield: A Robust Frequency Domain Defense against Malicious Image Editing

Aniruddha Bala, Rohit Chowdhury, Rohan Jaiswal et al.

ICCV 2025highlightarXiv:2504.17894
2
citations

DC-TTA: Divide-and-Conquer Framework for Test-Time Adaptation of Interactive Segmentation

Jihun Kim, Hoyong Kwon, Hyeokjun Kweon et al.

ICCV 2025arXiv:2506.23104

DDB: Diffusion Driven Balancing to Address Spurious Correlations

Aryan Yazdan Parast, Basim Azam, Naveed Akhtar

ICCV 2025arXiv:2503.17226
1
citations

DDJND: Dual Domain Just Noticeable Difference in Multi-Source Content Images with Structural Discrepancy

Miaohui Wang, Zhenming Li, Wuyuan Xie

AAAI 2025paper

De^2Gaze: Deformable and Decoupled Representation Learning for 3D Gaze Estimation

Yunfeng Xiao, Xiaowei Bai, Baojun Chen et al.

CVPR 2025
1
citations

DEAL: Data-Efficient Adversarial Learning for High-Quality Infrared Imaging

Zhu Liu, Zijun Wang, Jinyuan Liu et al.

CVPR 2025arXiv:2503.00905
5
citations

DEAL: Diffusion Evolution Adversarial Learning for Sim-to-Real Transfer

Wentao Xu, Huiqiao Fu, Haoyu Dong et al.

NEURIPS 2025

DEALing with Image Reconstruction: Deep Attentive Least Squares

Mehrsa Pourya, Erich Kobler, Michael Unser et al.

ICML 2025arXiv:2502.04079
6
citations

De-AntiFake: Rethinking the Protective Perturbations Against Voice Cloning Attacks

Wei Fan, Kejiang Chen, Chang Liu et al.

ICML 2025arXiv:2507.02606
3
citations

DearLLM: Enhancing Personalized Healthcare via Large Language Models-Deduced Feature Correlations

Yongxin Xu, Xinke Jiang, Xu Chu et al.

AAAI 2025paper

Debate on Graph: A Flexible and Reliable Reasoning Framework for Large Language Models

Jie Ma, Zhitao Gao, Qi Chai et al.

AAAI 2025paperarXiv:2409.03155
26
citations

Debate or Vote: Which Yields Better Decisions in Multi-Agent Large Language Models?

Hyeong Kyu Choi, Jerry Zhu, Sharon Li

NEURIPS 2025spotlightarXiv:2508.17536
17
citations

DebGCD: Debiased Learning with Distribution Guidance for Generalized Category Discovery

Yuanpei Liu, Kai Han

ICLR 2025arXiv:2504.04804
7
citations

Debiased Active Learning with Variational Gradient Rectifier

Weiguo Chen, Changjian Wang, Shijun Li et al.

AAAI 2025paper
1
citations

Debiased All-in-one Image Restoration with Task Uncertainty Regularization

Gang Wu, Junjun Jiang, Yijun Wang et al.

AAAI 2025paper
12
citations

Debiased Curriculum Adaptation for Safe Transfer Learning in Chest X-ray Classification

Mingyang Liu, Xinyang Chen, Yang Shu et al.

ICCV 2025

Debiased Distillation for Consistency Regularization

Lu Wang, Liuchi Xu, Xiong Yang et al.

AAAI 2025paper
4
citations

Debiased Multimodal Understanding for Human Language Sequences

Zhi Xu, Dingkang Yang, Mingcheng Li et al.

AAAI 2025paperarXiv:2403.05025
12
citations

Debiased Teacher for Day-to-Night Domain Adaptive Object Detection

Yiming Cui, Liang Li, Haibing YIN et al.

ICCV 2025

Debiasing Federated Learning with Correlated Client Participation

Zhenyu Sun, Ziyang Zhang, Zheng Xu et al.

ICLR 2025arXiv:2410.01209
1
citations

Debiasing Mini-Batch Quadratics for Applications in Deep Learning

Lukas Nicola Tatzel, Bálint Mucsányi, Osane Hackel et al.

ICLR 2025arXiv:2410.14325
2
citations

Debiasing Multimodal Large Language Models via Noise-Aware Preference Optimization

zefeng zhang, Hengzhu Tang, Jiawei Sheng et al.

CVPR 2025arXiv:2503.17928
10
citations

Debiasing Trace Guidance: Top-down Trace Distillation and Bottom-up Velocity Alignment for Unsupervised Anomaly Detection

Xingjian Wang, Li Chai, Jiming Chen

ICCV 2025

DeblurDiff: Real-Word Image Deblurring with Generative Diffusion Models

Lingshun Kong, Jiawei Zhang, Dongqing Zou et al.

NEURIPS 2025
5
citations

dEBORA: Efficient Bilevel Optimization-based low-Rank Adaptation

Emanuele Zangrando, Sara Venturini, Francesco Rinaldi et al.

ICLR 2025

DecAD: Decoupling Anomalies in Latent Space for Multi-Class Unsupervised Anomaly Detection

Xiaolei Wang, Xiaoyang Wang, Huihui Bai et al.

ICCV 2025

DeCaFlow: A deconfounding causal generative model

Alejandro Almodóvar, Adrián Javaloy, Juan Parras et al.

NEURIPS 2025spotlightarXiv:2503.15114

DeCafNet: Delegate and Conquer for Efficient Temporal Grounding in Long Videos

Zijia Lu, ASM Iftekhar, Gaurav Mittal et al.

CVPR 2025arXiv:2505.16376
3
citations

Decentralized and Uncoordinated Learning of Stable Matchings: A Game-Theoretic Approach

S. Rasoul Etesami, R. Srikant

AAAI 2025paperarXiv:2407.21294
3
citations

Decentralized Convergence to Equilibrium Prices in Trading Networks

Edwin Lock, Benjamin Patrick Evans, Eleonora Kreacic et al.

AAAI 2025paperarXiv:2412.13972

Decentralized Diffusion Models

David McAllister, Matthew Tancik, Jiaming Song et al.

CVPR 2025arXiv:2501.05450
9
citations

Decentralized Dynamic Cooperation of Personalized Models for Federated Continual Learning

Danni Yang, Zhikang Chen, Sen Cui et al.

NEURIPS 2025oralarXiv:2509.23683
1
citations

Decentralized Federated Learning with Model Caching on Mobile Agents

Xiaoyu Wang, Guojun Xiong, Houwei Cao et al.

AAAI 2025paperarXiv:2408.14001
5
citations

Decentralized Optimization with Coupled Constraints

Demyan Yarmoshik, Alexander Rogozin, Nikita Kiselev et al.

ICLR 2025arXiv:2407.02020
2
citations

Decentralized Projected Riemannian Stochastic Recursive Momentum Method for Nonconvex Optimization

Kangkang Deng, Jiang Hu

AAAI 2025paperarXiv:2412.02382
1
citations