Papers
DiffBEV: Conditional Diffusion Model for Bird’s Eye View Perception
Jiayu Zou, Kun Tian, Zheng Zhu et al.
Differentiable Auxiliary Learning for Sketch Re-Identification
Xingyu Liu, Xu Cheng, Haoyu Chen et al.
DiffRAW: Leveraging Diffusion Model to Generate DSLR-Comparable Perceptual Quality sRGB from Smartphone RAW Images
Mingxin Yi, Kai Zhang, Pei Liu et al.
DiffSED: Sound Event Detection with Denoising Diffusion
Swapnil Bhosale, Sauradip Nag, Diptesh Kanojia et al.
DiffusionEdge: Diffusion Probabilistic Model for Crisp Edge Detection
Yunfan Ye, Kai Xu, Yuhang Huang et al.
Diffusion Language-Shapelets for Semi-supervised Time-Series Classification
Zhen Liu, Wenbin Pei, Disen Lan et al.
DiffusionTrack: Diffusion Model for Multi-Object Tracking
Run Luo, Zikai Song, Lintao Ma et al.
DiG-In-GNN: Discriminative Feature Guided GNN-Based Fraud Detector against Inconsistencies in Multi-Relation Fraud Graph
Jinghui Zhang, Zhengjia Xu, Dingyang Lv et al.
Digital Twin-Driven Teat Localization and Shape Identification for Dairy Cow (Student Abstract)
Aarushi Gupta, Yuexing Hao, Yuting Yang et al.
DINGO: Towards Diverse and Fine-Grained Instruction-Following Evaluation
Zihui Gu, Xingwu Sun, Fengzong Lian et al.
Direct Amortized Likelihood Ratio Estimation
Adam D. Cobb, Brian Matejek, Daniel Elenius et al.
Directed Diffusion: Direct Control of Object Placement through Attention Guidance
Wan-Duo Kurt Ma, Avisek Lahiri, J. P. Lewis et al.
Direction-Aware Video Demoiréing with Temporal-Guided Bilateral Learning
Shuning Xu, Binbin Song, Xiangyu Chen et al.
Direct May Not Be the Best: An Incremental Evolution View of Pose Generation
Yuelong Li, Tengfei Xiao, Lei Geng et al.
Dirichlet-Based Prediction Calibration for Learning with Noisy Labels
Chen-Chen Zong, Ye-Wen Wang, Ming-Kun Xie et al.
Discerning Temporal Difference Learning
Jianfei Ma
DiSCO: Diffusion Schrödinger Bridge for Molecular Conformer Optimization
Danyeong Lee, Dohoon Lee, Dongmin Bang et al.
DISCount: Counting in Large Image Collections with Detector-Based Importance Sampling
Gustavo Perez, Subhransu Maji, Daniel Sheldon
Discovering Agents (Abstract Reprint)
Zachary Kenton, Ramana Kumar, Sebastian Farquhar et al.
Discovering Heterogeneous Causal Effects in Relational Data
Shishir Adhikari
Discovering Sequential Patterns with Predictable Inter-event Delays
Joscha Cüppers, Paul Krieger, Jilles Vreeken
Discrepancy and Uncertainty Aware Denoising Knowledge Distillation for Zero-Shot Cross-Lingual Named Entity Recognition
Ling Ge, Chunming Hu, Guanghui Ma et al.
Discrete Cycle-Consistency Based Unsupervised Deep Graph Matching
Siddharth Tourani, Muhammad Haris Khan, Carsten Rother et al.
Discretionary Trees: Understanding Street-Level Bureaucracy via Machine Learning
Gaurab Pokharel, Sanmay Das, Patrick Fowler
Discretization-Induced Dirichlet Posterior for Robust Uncertainty Quantification on Regression
Xuanlong Yu, Gianni Franchi, Jindong Gu et al.