Papers
DepthCues: Evaluating Monocular Depth Perception in Large Vision Models
Duolikun Danier, Mehmet Aygün, Changjian Li et al.
DEPTH: Discourse Education through Pre-Training Hierarchically
Zachary Elisha Bamberger, Ofek Glick, Chaim Baskin et al.
DepthFM: Fast Generative Monocular Depth Estimation with Flow Matching
Ming Gui, Johannes Schusterbauer, Ulrich Prestel et al.
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.
Depth Separations in Neural Networks: Separating the Dimension from the Accuracy
Itay Safran, Daniel Reichman, Paul Valiant
DepthSplat: Connecting Gaussian Splatting and Depth
Haofei Xu, Songyou Peng, Fangjinhua Wang et al.
DepthSSC: Monocular 3D Semantic Scene Completion via Depth-Spatial Alignment and Voxel Adaptation
Jiawei Yao, Jusheng Zhang, Xiaochao Pan 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.
depyf: Open the Opaque Box of PyTorch Compiler for Machine Learning Researchers
Kaichao You, Runsheng Bai, Meng Cao et al.
DEQA: Descriptions Enhanced Question-Answering Framework for Multimodal Aspect-Based Sentiment Analysis
Zhixin Han, Mengting Hu, Yinhao Bai et al.
DEQ-MPC : Deep Equilibrium Model Predictive Control
Swaminathan Gurumurthy, Khai Nguyen, Arun L Bishop et al.
Dequantified Diffusion-Schrödinger Bridge for Density Ratio Estimation
Wei Chen, Shigui Li, Jiacheng Li et al.
Dequantization and Color Transfer with Diffusion Models
Vaibhav Vavilala, Faaris Shaik, David Forsyth
DeRAGEC: Denoising Named Entity Candidates with Synthetic Rationale for ASR Error Correction
Solee Im, Wonjun Lee, JinMyeong An et al.
Derailer-Rerailer: Adaptive Verification for Efficient and Reliable Language Model Reasoning
Guangya Wan, Yuqi Wu, Hao Wang et al.
DeRainGS: Gaussian Splatting for Enhanced Scene Reconstruction in Rainy Environments
Shuhong Liu, Xiang Chen, Hongming Chen et al.
(De)-regularized Maximum Mean Discrepancy Gradient Flow
Zonghao Chen, Aratrika Mustafi, Pierre Glaser et al.
DERI: Cross-Modal ECG Representation Learning with Deep ECG-Report Interaction
Jian Chen, Xiaoru Dong, Wei Wang et al.
DeRIS: Decoupling Perception and Cognition for Enhanced Referring Image Segmentation through Loopback Synergy
Ming Dai, Wenxuan Cheng, Jiang-jiang Liu et al.
Derivational Probing: Unveiling the Layer-wise Derivation of Syntactic Structures in Neural Language Models
Taiga Someya, Ryo Yoshida, Hitomi Yanaka et al.
Derivational Probing: Unveiling the Layer-wise Derivation of Syntactic Structures in Neural Language Models
Taiga Someya, Ryo Yoshida, Hitomi Yanaka et al.
Derivative-Free Diffusion Manifold-Constrained Gradient for Unified XAI
Won Jun Kim, Hyungjin Chung, Jaemin Kim et al.
Derivative-Informed Neural Operator Acceleration of Geometric MCMC for Infinite-Dimensional Bayesian Inverse Problems
Lianghao Cao, Thomas O'Leary-Roseberry, Omar Ghattas