Papers
310 papers found
Data Augmentation via Latent Diffusion for Saliency Prediction
Bahar Aydemir, Deblina Bhattacharjee, Tong Zhang et al.
Data Poisoning Quantization Backdoor Attack
Tran Huynh, Anh Tran, Khoa Doan et al.
Dataset Distillation by Automatic Training Trajectories
Dai Liu, Jindong Gu, Hu Cao et al.
Debiasing surgeon: fantastic weights and how to find them
Remi Nahon, Ivan Luiz De Moura Matos, Van-Tam Nguyen et al.
DECIDER: Leveraging Foundation Model Priors for Improved Model Failure Detection and Explanation
Rakshith Subramanyam, Kowshik Thopalli, Vivek Sivaraman Narayanaswamy et al.
Deciphering the Role of Representation Disentanglement: Investigating Compositional Generalization in CLIP Models
Reza Abbasi, Mohammad Rohban, Mahdieh Soleymani Baghshah
De-Confusing Pseudo-Labels in Source-Free Domain Adaptation
Idit Diamant, Amir Rosenfeld, Idan Achituve et al.
Deep Reward Supervisions for Tuning Text-to-Image Diffusion Models
Xiaoshi Wu, Yiming Hao, Manyuan Zhang et al.
Denoising Vision Transformers
Jiawei Yang, Katie Z Luo, Jiefeng Li et al.
Dense Hand-Object(HO) GraspNet with Full Grasping Taxonomy and Dynamics
Woojin Cho, Jihyun Lee, Minjae Yi et al.
Depth-Aware Blind Image Decomposition for Real-World Adverse Weather Recovery
Chao Wang, Zhedong Zheng, Ruijie Quan et al.
DeTra: A Unified Model for Object Detection and Trajectory Forecasting
Sergio Casas, Ben T Agro, Jiageng Mao et al.
DHR: Dual Features-Driven Hierarchical Rebalancing in Inter- and Intra-Class Regions for Weakly-Supervised Semantic Segmentation
Sanghyun Jo, Fei Pan, In-Jae Yu et al.
DiffClass: Diffusion-Based Class Incremental Learning
Zichong Meng, Jie Zhang, Changdi Yang et al.
Differentiable Product Quantization for Memory Efficient Camera Relocalization
Zakaria Laskar, Iaroslav Melekhov, Assia Benbihi et al.
DiffSurf: A Transformer-based Diffusion Model for Generating and Reconstructing 3D Surfaces in Pose
Yusuke Yoshiyasu, Leyuan Sun
DiffusionPen: Towards Controlling the Style of Handwritten Text Generation
Konstantina Nikolaidou, George Retsinas, Giorgos Sfikas et al.
Direct Distillation between Different Domains
Jialiang Tang, Shuo Chen, Gang Niu et al.
Distilling Knowledge from Large-Scale Image Models for Object Detection
Gang Li, Wenhai Wang, Xiang Li et al.
Distributed Semantic Segmentation with Efficient Joint Source and Task Decoding
Danish Nazir, Timo Bartels, Jan Piewek et al.
DPA-Net: Structured 3D Abstraction from Sparse Views via Differentiable Primitive Assembly
Fenggen Yu, Yiming Qian, Xu Zhang et al.
DreamSampler: Unifying Diffusion Sampling and Score Distillation for Image Manipulation
Jeongsol Kim, Geon Yeong Park, Jong Chul Ye
DrivingDiffusion: Layout-Guided Multi-View Driving Scenarios Video Generation with Latent Diffusion Model
Li Xiaofan, Zhang Yifu, Ye Xiaoqing
DualBEV: Unifying Dual View Transformation with Probabilistic Correspondences
Peidong Li, Wancheng Shen, Qihao Huang et al.
DynMF: Neural Motion Factorization for Real-time Dynamic View Synthesis with 3D Gaussian Splatting
Angelos Kratimenos, Jiahui Lei, Kostas Daniilidis