Poster Papers
24,624 papers found • Page 65 of 493
Conference
Dendritic Localized Learning: Toward Biologically Plausible Algorithm
Changze Lv, Jingwen Xu, Yiyang Lu et al.
DenoiseRotator: Enhance Pruning Robustness for LLMs via Importance Concentration
Tianteng Gu, Bei Liu, Bo Xiao et al.
DenoiseVAE: Learning Molecule-Adaptive Noise Distributions for Denoising-based 3D Molecular Pre-training
Yurou Liu, Jiahao Chen, Rui Jiao et al.
Denoising as Adaptation: Noise-Space Domain Adaptation for Image Restoration
Kang Liao, Zongsheng Yue, Zhouxia Wang et al.
Denoising Autoregressive Transformers for Scalable Text-to-Image Generation
Jiatao Gu, Yuyang Wang, Yizhe Zhang et al.
Denoising Functional Maps: Diffusion Models for Shape Correspondence
Aleksei Zhuravlev, Zorah Lähner, Vladislav Golyanik
Denoising Levy Probabilistic Models
Dario Shariatian, Umut Simsekli, Alain Oliviero Durmus
Denoising Task Difficulty-based Curriculum for Training Diffusion Models
Jin-Young Kim, Hyojun Go, Soonwoo Kwon et al.
Denoising Token Prediction in Masked Autoregressive Models
Ting Yao, Yehao Li, Yingwei Pan et al.
Denoising Trajectory Biases for Zero-Shot AI-Generated Image Detection
Yachao Liang, Min Yu, Gang Li et al.
Denoising with a Joint-Embedding Predictive Architecture
Chen Dengsheng, Jie Hu, Xiaoming Wei et al.
Dense2MoE: Restructuring Diffusion Transformer to MoE for Efficient Text-to-Image Generation
Youwei Zheng, Yuxi Ren, Xin Xia et al.
Dense Backpropagation Improves Training for Sparse Mixture-of-Experts
Ashwinee Panda, Vatsal Baherwani, Zain Sarwar et al.
Dense Dispersed Structured Light for Hyperspectral 3D Imaging of Dynamic Scenes
Suhyun Shin, Seungwoo Yoon, Ryota Maeda et al.
DenseGrounding: Improving Dense Language-Vision Semantics for Ego-centric 3D Visual Grounding
Henry Zheng, Hao Shi, Qihang Peng et al.
DenseMatcher: Learning 3D Semantic Correspondence for Category-Level Manipulation from a Single Demo
Junzhe Zhu, Yuanchen Ju, Junyi Zhang et al.
Dense Match Summarization for Faster Two-view Estimation
Jonathan Astermark, Anders Heyden, Viktor Larsson
Dense Metric Depth Estimation via Event-based Differential Focus Volume Prompting
Boyu Li, Peiqi Duan, Zhaojun Huang et al.
Dense Policy: Bidirectional Autoregressive Learning of Actions
Yue Su, Xinyu Zhan, Hongjie Fang et al.
Dense SAE Latents Are Features, Not Bugs
Xiaoqing Sun, Alessandro Stolfo, Joshua Engels et al.
Dense-SfM: Structure from Motion with Dense Consistent Matching
JongMin Lee, Sungjoo Yoo
Density estimation with LLMs: a geometric investigation of in-context learning trajectories
Toni Liu, Nicolas Boulle, Raphaël Sarfati et al.
Density Ratio Estimation-based Bayesian Optimization with Semi-Supervised Learning
Jungtaek Kim
Density Ratio Estimation with Conditional Probability Paths
Hanlin Yu, Arto Klami, Aapo Hyvarinen et al.
Density Ratio-Free Doubly Robust Proxy Causal Learning
Bariscan Bozkurt, Houssam Zenati, Dimitri Meunier et al.
DeNVeR: Deformable Neural Vessel Representations for Unsupervised Video Vessel Segmentation
Chun-Hung Wu, Shih-Hong Chen, Chih Yao Hu et al.
DePass: Unified Feature Attributing by Simple Decomposed Forward Pass
Xiangyu Hong, Che Jiang, Kai Tian et al.
Dependency Matters: Enhancing LLM Reasoning with Explicit Knowledge Grounding
Xiangyu Wen, Min Li, Junhua Huang et al.
Dependency Parsing is More Parameter-Efficient with Normalization
Paolo Gajo, Domenic Rosati, Hassan Sajjad et al.
DEPfold: RNA Secondary Structure Prediction as Dependency Parsing.
Ke Wang, Shay B Cohen
Deployment Efficient Reward-Free Exploration with Linear Function Approximation
Zihan Zhang, Yuxin Chen, Jason Lee et al.
DepR: Depth Guided Single-view Scene Reconstruction with Instance-level Diffusion
Qingcheng Zhao, Xiang Zhang, Haiyang Xu et al.
DEPT: Decoupled Embeddings for Pre-training Language Models
Alex Iacob, Lorenzo Sani, Meghdad Kurmanji et al.
Depth Any Camera: Zero-Shot Metric Depth Estimation from Any Camera
Yuliang Guo, Sparsh Garg, S. Mahdi H. Miangoleh et al.
Depth AnyEvent: A Cross-Modal Distillation Paradigm for Event-Based Monocular Depth Estimation
Luca Bartolomei, Enrico Mannocci, Fabio Tosi et al.
Depth Any Event Stream: Enhancing Event-based Monocular Depth Estimation via Dense-to-Sparse Distillation
Jinjing Zhu, Tianbo Pan, Zidong Cao et al.
DepthCues: Evaluating Monocular Depth Perception in Large Vision Models
Duolikun Danier, Mehmet Aygun, Changjian Li et al.
Depth Degeneracy in Neural Networks: Vanishing Angles in Fully Connected ReLU Networks on Initialization
Cameron Jakub, Mihai Nica
Depth-Guided Bundle Sampling for Efficient Generalizable Neural Radiance Field Reconstruction
Li Fang, Hao Zhu, Longlong Chen et al.
DEPTHOR: Depth Enhancement from a Practical Light-Weight dToF Sensor and RGB Image
Jijun Xiang, Xuan Zhu, Xianqi Wang et al.
Depth Pro: Sharp Monocular Metric Depth in Less Than a Second
Alexey Bochkovskiy, Amaël Delaunoy, Hugo Germain et al.
DepthSplat: Connecting Gaussian Splatting and Depth
Haofei Xu, Songyou Peng, Fangjinhua Wang et al.
Depth-Supervised Fusion Network for Seamless-Free Image Stitching
Zhiying Jiang, Ruhao Yan, Zengxi Zhang et al.
DepthSync: Diffusion Guidance-Based Depth Synchronization for Scale- and Geometry-Consistent Video Depth Estimation
Yue-Jiang Dong, Wang Zhao, Jiale Xu et al.
DepthVanish: Optimizing Adversarial Interval Structures for Stereo-Depth-Invisible Patches
Yun Xing, Yue Cao, Nhat Chung et al.
Dequantified Diffusion-Schrödinger Bridge for Density Ratio Estimation
Wei Chen, Shigui Li, Jiacheng Li et al.
DeRIS: Decoupling Perception and Cognition for Enhanced Referring Image Segmentation through Loopback Synergy
Ming Dai, Wenxuan Cheng, Jiang-Jiang Liu et al.
Derivative-Free Diffusion Manifold-Constrained Gradient for Unified XAI
Won Jun Kim, Hyungjin Chung, Jaemin Kim et al.
Derivative-Free Guidance in Continuous and Discrete Diffusion Models with Soft Value-based Decoding
Xiner Li, Yulai Zhao, Chenyu Wang et al.
Deriving Causal Order from Single-Variable Interventions: Guarantees & Algorithm
Mathieu Chevalley, Patrick Schwab, Arash Mehrjou